Overview

Dataset statistics

Number of variables82
Number of observations4375
Missing cells83313
Missing cells (%)23.2%
Total size in memory2.7 MiB
Average record size in memory656.0 B

Variable types

Categorical10
Numeric71
Unsupported1

Warnings

st_distlim has constant value "0.0" Constant
st_optmaglim has constant value "0.0" Constant
gaia_gmaglim has constant value "0.0" Constant
st_masslim has constant value "0.0" Constant
st_radlim has constant value "0.0" Constant
pl_hostname has a high cardinality: 3247 distinct values High cardinality
pl_name has a high cardinality: 4375 distinct values High cardinality
ra_str has a high cardinality: 3243 distinct values High cardinality
dec_str has a high cardinality: 3246 distinct values High cardinality
rowupdate has a high cardinality: 217 distinct values High cardinality
pl_facility has a high cardinality: 62 distinct values High cardinality
pl_orbper has 146 (3.3%) missing values Missing
pl_orbpererr1 has 323 (7.4%) missing values Missing
pl_orbpererr2 has 323 (7.4%) missing values Missing
pl_orbperlim has 123 (2.8%) missing values Missing
pl_orbsmax has 1749 (40.0%) missing values Missing
pl_orbsmaxerr1 has 2556 (58.4%) missing values Missing
pl_orbsmaxerr2 has 2557 (58.4%) missing values Missing
pl_orbsmaxlim has 1681 (38.4%) missing values Missing
pl_orbeccen has 2778 (63.5%) missing values Missing
pl_orbeccenerr1 has 3270 (74.7%) missing values Missing
pl_orbeccenerr2 has 3270 (74.7%) missing values Missing
pl_orbeccenlim has 2673 (61.1%) missing values Missing
pl_orbincl has 3373 (77.1%) missing values Missing
pl_orbinclerr1 has 3410 (77.9%) missing values Missing
pl_orbinclerr2 has 3408 (77.9%) missing values Missing
pl_orbincllim has 3233 (73.9%) missing values Missing
pl_bmassj has 2521 (57.6%) missing values Missing
pl_bmassjerr1 has 2673 (61.1%) missing values Missing
pl_bmassjerr2 has 2673 (61.1%) missing values Missing
pl_bmassjlim has 2429 (55.5%) missing values Missing
pl_bmassprov has 2521 (57.6%) missing values Missing
pl_radj has 1023 (23.4%) missing values Missing
pl_radjerr1 has 1104 (25.2%) missing values Missing
pl_radjerr2 has 1104 (25.2%) missing values Missing
pl_radjlim has 950 (21.7%) missing values Missing
pl_dens has 3780 (86.4%) missing values Missing
pl_denserr1 has 3801 (86.9%) missing values Missing
pl_denserr2 has 3801 (86.9%) missing values Missing
pl_denslim has 3590 (82.1%) missing values Missing
st_raerr has 240 (5.5%) missing values Missing
st_decerr has 240 (5.5%) missing values Missing
st_disterr1 has 88 (2.0%) missing values Missing
st_disterr2 has 88 (2.0%) missing values Missing
st_optmag has 251 (5.7%) missing values Missing
st_optmagerr has 3279 (74.9%) missing values Missing
st_optmaglim has 251 (5.7%) missing values Missing
st_optband has 251 (5.7%) missing values Missing
gaia_gmag has 181 (4.1%) missing values Missing
gaia_gmagerr has 4375 (100.0%) missing values Missing
gaia_gmaglim has 181 (4.1%) missing values Missing
st_teff has 287 (6.6%) missing values Missing
st_tefferr1 has 456 (10.4%) missing values Missing
st_tefferr2 has 483 (11.0%) missing values Missing
st_tefflim has 247 (5.6%) missing values Missing
st_mass has 811 (18.5%) missing values Missing
st_masserr1 has 1054 (24.1%) missing values Missing
st_masserr2 has 1080 (24.7%) missing values Missing
st_masslim has 765 (17.5%) missing values Missing
st_rad has 402 (9.2%) missing values Missing
st_raderr1 has 528 (12.1%) missing values Missing
st_raderr2 has 553 (12.6%) missing values Missing
st_radlim has 359 (8.2%) missing values Missing
pl_orbper is highly skewed (γ1 = 64.95858806) Skewed
pl_orbpererr1 is highly skewed (γ1 = 63.64793873) Skewed
pl_orbpererr2 is highly skewed (γ1 = -63.65214239) Skewed
pl_orbsmax is highly skewed (γ1 = 22.24841546) Skewed
pl_orbsmaxerr1 is highly skewed (γ1 = 31.18359459) Skewed
pl_orbsmaxerr2 is highly skewed (γ1 = -31.33977615) Skewed
pl_orbsmaxlim is highly skewed (γ1 = -36.6810426) Skewed
pl_bmassjerr1 is highly skewed (γ1 = 20.40114074) Skewed
pl_bmassjerr2 is highly skewed (γ1 = -26.00281606) Skewed
pl_radjerr1 is highly skewed (γ1 = 24.28221879) Skewed
st_tefflim is highly skewed (γ1 = 64.24951362) Skewed
st_masserr1 is highly skewed (γ1 = 28.86068279) Skewed
st_masserr2 is highly skewed (γ1 = -28.86886796) Skewed
st_raderr1 is highly skewed (γ1 = 31.82008959) Skewed
st_raderr2 is highly skewed (γ1 = -32.71973593) Skewed
pl_name has unique values Unique
gaia_gmagerr is an unsupported type, check if it needs cleaning or further analysis Unsupported
pl_controvflag has 4351 (99.5%) zeros Zeros
pl_orbperlim has 4246 (97.1%) zeros Zeros
pl_orbpern has 142 (3.2%) zeros Zeros
pl_orbsmaxlim has 2692 (61.5%) zeros Zeros
pl_orbsmaxn has 1567 (35.8%) zeros Zeros
pl_orbeccen has 359 (8.2%) zeros Zeros
pl_orbeccenlim has 1567 (35.8%) zeros Zeros
pl_orbeccenn has 2607 (59.6%) zeros Zeros
pl_orbincllim has 1137 (26.0%) zeros Zeros
pl_orbincln has 3191 (72.9%) zeros Zeros
pl_bmassjlim has 1851 (42.3%) zeros Zeros
pl_bmassn has 2396 (54.8%) zeros Zeros
pl_radjlim has 3422 (78.2%) zeros Zeros
pl_radn has 996 (22.8%) zeros Zeros
pl_denslim has 767 (17.5%) zeros Zeros
pl_densn has 3606 (82.4%) zeros Zeros
pl_ttvflag has 4055 (92.7%) zeros Zeros
pl_kepflag has 1961 (44.8%) zeros Zeros
pl_k2flag has 3924 (89.7%) zeros Zeros
st_raerr has 537 (12.3%) zeros Zeros
st_decerr has 537 (12.3%) zeros Zeros
st_disterr1 has 65 (1.5%) zeros Zeros
st_disterr2 has 65 (1.5%) zeros Zeros
st_distlim has 4365 (99.8%) zeros Zeros
st_optmaglim has 4124 (94.3%) zeros Zeros
gaia_gmaglim has 4194 (95.9%) zeros Zeros
st_tefflim has 4127 (94.3%) zeros Zeros
st_teffn has 121 (2.8%) zeros Zeros
st_masslim has 3610 (82.5%) zeros Zeros
st_radlim has 4016 (91.8%) zeros Zeros
st_radn has 157 (3.6%) zeros Zeros
pl_nnotes has 1800 (41.1%) zeros Zeros

Reproduction

Analysis started2021-07-09 19:05:59.658906
Analysis finished2021-07-09 19:06:07.786140
Duration8.13 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

pl_hostname
Categorical

HIGH CARDINALITY

Distinct3247
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
KOI-351
 
8
TRAPPIST-1
 
7
HD 219134
 
6
HD 10180
 
6
Kepler-80
 
6
Other values (3242)
4342 

Unique

Unique2505 ?
Unique (%)57.3%

Sample

1st rowKepler-128
2nd rowKepler-128
3rd rowKepler-129
4th rowKepler-129
5th rowKepler-130

Common Values

ValueCountFrequency (%)
KOI-3518
 
0.2%
TRAPPIST-17
 
0.2%
HD 2191346
 
0.1%
HD 101806
 
0.1%
Kepler-806
 
0.1%
Kepler-206
 
0.1%
Kepler-116
 
0.1%
TOI-1786
 
0.1%
HD 344456
 
0.1%
K2-1386
 
0.1%
Other values (3237)4312
98.6%

pl_letter
Categorical

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
b
3239 
c
746 
d
 
245
e
 
92
f
 
34
Other values (3)
 
19

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowb
2nd rowc
3rd rowb
4th rowc
5th rowb

Common Values

ValueCountFrequency (%)
b3239
74.0%
c746
 
17.1%
d245
 
5.6%
e92
 
2.1%
f34
 
0.8%
g13
 
0.3%
h5
 
0.1%
i1
 
< 0.1%

pl_name
Categorical

HIGH CARDINALITY
UNIQUE

Distinct4375
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
HATS-46 b
 
1
Kepler-718 b
 
1
EPIC 205950854 c
 
1
Kepler-1341 b
 
1
GJ 160.2 b
 
1
Other values (4370)
4370 

Unique

Unique4375 ?
Unique (%)100.0%

Sample

1st rowKepler-128 b
2nd rowKepler-128 c
3rd rowKepler-129 b
4th rowKepler-129 c
5th rowKepler-130 b

Common Values

ValueCountFrequency (%)
HATS-46 b1
 
< 0.1%
Kepler-718 b1
 
< 0.1%
EPIC 205950854 c1
 
< 0.1%
Kepler-1341 b1
 
< 0.1%
GJ 160.2 b1
 
< 0.1%
MOA-2011-BLG-291L b1
 
< 0.1%
Kepler-104 c1
 
< 0.1%
HD 134060 c1
 
< 0.1%
Kepler-1134 b1
 
< 0.1%
Kepler-1081 b1
 
< 0.1%
Other values (4365)4365
99.8%

pl_discmethod
Categorical

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
Transit
3325 
Radial Velocity
837 
Microlensing
 
108
Imaging
 
51
Transit Timing Variations
 
21
Other values (6)
 
33

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowTransit
2nd rowTransit
3rd rowTransit
4th rowTransit
5th rowTransit

Common Values

ValueCountFrequency (%)
Transit3325
76.0%
Radial Velocity837
 
19.1%
Microlensing108
 
2.5%
Imaging51
 
1.2%
Transit Timing Variations21
 
0.5%
Eclipse Timing Variations16
 
0.4%
Pulsar Timing7
 
0.2%
Orbital Brightness Modulation6
 
0.1%
Pulsation Timing Variations2
 
< 0.1%
Disk Kinematics1
 
< 0.1%

pl_controvflag
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.005485714286
Minimum0
Maximum1
Zeros4351
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:08.439661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07387062006
Coefficient of variation (CV)13.46599845
Kurtosis177.5013475
Mean0.005485714286
Median Absolute Deviation (MAD)0
Skewness13.39478273
Sum24
Variance0.005456868509
MonotonicityNot monotonic
2021-07-09T15:06:08.517766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
04351
99.5%
124
 
0.5%
ValueCountFrequency (%)
04351
99.5%
124
 
0.5%
ValueCountFrequency (%)
124
 
0.5%
04351
99.5%

pl_pnum
Real number (ℝ≥0)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.784457143
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:08.611489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.170212433
Coefficient of variation (CV)0.6557806322
Kurtosis3.384732456
Mean1.784457143
Median Absolute Deviation (MAD)0
Skewness1.794722849
Sum7807
Variance1.369397139
MonotonicityNot monotonic
2021-07-09T15:06:08.707126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
12505
57.3%
2990
 
22.6%
3462
 
10.6%
4240
 
5.5%
5115
 
2.6%
648
 
1.1%
88
 
0.2%
77
 
0.2%
ValueCountFrequency (%)
12505
57.3%
2990
 
22.6%
3462
 
10.6%
4240
 
5.5%
5115
 
2.6%
ValueCountFrequency (%)
88
 
0.2%
77
 
0.2%
648
 
1.1%
5115
2.6%
4240
5.5%

pl_orbper
Real number (ℝ≥0)

MISSING
SKEWED

Distinct4224
Distinct (%)99.9%
Missing146
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean2034.111117
Minimum0.09070629
Maximum7300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:08.821313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.09070629
5-th percentile1.62862914
Q14.45743164
median11.72012266
Q341.474219
95-th percentile1156.48
Maximum7300000
Range7299999.909
Interquartile range (IQR)37.01678736

Descriptive statistics

Standard deviation112291.8799
Coefficient of variation (CV)55.20439813
Kurtosis4222.66579
Mean2034.111117
Median Absolute Deviation (MAD)8.64855166
Skewness64.95858806
Sum8602255.915
Variance1.26094663 × 1010
MonotonicityNot monotonic
2021-07-09T15:06:08.968295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41002
 
< 0.1%
872.22
 
< 0.1%
50002
 
< 0.1%
16342
 
< 0.1%
428.52
 
< 0.1%
256.21
 
< 0.1%
379.631
 
< 0.1%
31.8841
 
< 0.1%
352.21
 
< 0.1%
963.61
 
< 0.1%
Other values (4214)4214
96.3%
(Missing)146
 
3.3%
ValueCountFrequency (%)
0.090706291
< 0.1%
0.1797151
< 0.1%
0.21971
< 0.1%
0.2401041
< 0.1%
0.28032441
< 0.1%
ValueCountFrequency (%)
73000001
< 0.1%
1700001
< 0.1%
690001
< 0.1%
370001
< 0.1%
270001
< 0.1%

pl_orbpererr1
Real number (ℝ≥0)

MISSING
SKEWED

Distinct2222
Distinct (%)54.8%
Missing323
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean939.6405772
Minimum0
Maximum3650000
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:09.108279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.691 × 10-6
Q11.606 × 10-5
median0.0001
Q30.001307
95-th percentile14
Maximum3650000
Range3650000
Interquartile range (IQR)0.00129094

Descriptive statistics

Standard deviation57341.67041
Coefficient of variation (CV)61.02511088
Kurtosis4051.371939
Mean939.6405772
Median Absolute Deviation (MAD)9.72 × 10-5
Skewness63.64793873
Sum3807423.619
Variance3288067165
MonotonicityNot monotonic
2021-07-09T15:06:09.255233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 × 10-541
 
0.9%
4 × 10-630
 
0.7%
0.00128
 
0.6%
5 × 10-628
 
0.6%
3 × 10-627
 
0.6%
1 × 10-625
 
0.6%
6 × 10-625
 
0.6%
2 × 10-525
 
0.6%
8 × 10-625
 
0.6%
0.000223
 
0.5%
Other values (2212)3775
86.3%
(Missing)323
 
7.4%
ValueCountFrequency (%)
01
< 0.1%
1 × 10-82
< 0.1%
2 × 10-81
< 0.1%
4 × 10-81
< 0.1%
6 × 10-82
< 0.1%
ValueCountFrequency (%)
36500001
< 0.1%
160001
< 0.1%
15512.51
< 0.1%
12401.81
< 0.1%
77001
< 0.1%

pl_orbpererr2
Real number (ℝ)

MISSING
SKEWED

Distinct2212
Distinct (%)54.6%
Missing323
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean-924.6267258
Minimum-3650000
Maximum0
Zeros1
Zeros (%)< 0.1%
Negative4051
Negative (%)92.6%
Memory size34.3 KiB
2021-07-09T15:06:09.395833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-3650000
5-th percentile-14
Q1-0.0013505
median-0.0001
Q3-1.6 × 10-5
95-th percentile-1.691 × 10-6
Maximum0
Range3650000
Interquartile range (IQR)0.0013345

Descriptive statistics

Standard deviation57340.64191
Coefficient of variation (CV)-62.01490862
Kurtosis4051.729565
Mean-924.6267258
Median Absolute Deviation (MAD)9.72 × 10-5
Skewness-63.65214239
Sum-3746587.493
Variance3287949214
MonotonicityNot monotonic
2021-07-09T15:06:09.536422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 × 10-540
 
0.9%
-0.00134
 
0.8%
-4 × 10-630
 
0.7%
-5 × 10-627
 
0.6%
-6 × 10-627
 
0.6%
-8 × 10-626
 
0.6%
-3 × 10-626
 
0.6%
-1.1 × 10-525
 
0.6%
-1 × 10-625
 
0.6%
-2 × 10-524
 
0.5%
Other values (2202)3768
86.1%
(Missing)323
 
7.4%
ValueCountFrequency (%)
-36500001
< 0.1%
-15512.51
< 0.1%
-80001
< 0.1%
-50951
< 0.1%
-45001
< 0.1%
ValueCountFrequency (%)
01
< 0.1%
-1 × 10-82
< 0.1%
-2 × 10-81
< 0.1%
-4 × 10-81
< 0.1%
-6 × 10-82
< 0.1%

pl_orbperlim
Real number (ℝ)

MISSING
ZEROS

Distinct3
Distinct (%)0.1%
Missing123
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean-0.0004703668862
Minimum-1
Maximum1
Zeros4246
Zeros (%)97.1%
Negative4
Negative (%)0.1%
Memory size34.3 KiB
2021-07-09T15:06:09.720760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03756609252
Coefficient of variation (CV)-79.86551269
Kurtosis706.2769589
Mean-0.0004703668862
Median Absolute Deviation (MAD)0
Skewness-8.841235037
Sum-2
Variance0.001411211307
MonotonicityNot monotonic
2021-07-09T15:06:09.817291image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
04246
97.1%
-14
 
0.1%
12
 
< 0.1%
(Missing)123
 
2.8%
ValueCountFrequency (%)
-14
 
0.1%
04246
97.1%
12
 
< 0.1%
ValueCountFrequency (%)
12
 
< 0.1%
04246
97.1%
-14
 
0.1%

pl_orbpern
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.689142857
Minimum0
Maximum20
Zeros142
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:09.942262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q33
95-th percentile6
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.673049116
Coefficient of variation (CV)0.6221495862
Kurtosis6.318038141
Mean2.689142857
Median Absolute Deviation (MAD)1
Skewness1.531251948
Sum11765
Variance2.799093344
MonotonicityNot monotonic
2021-07-09T15:06:10.051642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
31200
27.4%
11013
23.2%
2957
21.9%
4588
13.4%
5248
 
5.7%
0142
 
3.2%
693
 
2.1%
768
 
1.6%
831
 
0.7%
916
 
0.4%
Other values (6)19
 
0.4%
ValueCountFrequency (%)
0142
 
3.2%
11013
23.2%
2957
21.9%
31200
27.4%
4588
13.4%
ValueCountFrequency (%)
201
 
< 0.1%
171
 
< 0.1%
131
 
< 0.1%
122
 
< 0.1%
116
0.1%

pl_orbsmax
Real number (ℝ≥0)

MISSING
SKEWED

Distinct1555
Distinct (%)59.2%
Missing1749
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean8.650105626
Minimum0.0044
Maximum3500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:10.192237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.0044
5-th percentile0.0281725
Q10.056
median0.115
Q30.62
95-th percentile4.3375
Maximum3500
Range3499.9956
Interquartile range (IQR)0.564

Descriptive statistics

Standard deviation116.8894732
Coefficient of variation (CV)13.51306889
Kurtosis556.9275116
Mean8.650105626
Median Absolute Deviation (MAD)0.075115
Skewness22.24841546
Sum22715.17737
Variance13663.14895
MonotonicityNot monotonic
2021-07-09T15:06:10.326092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0619
 
0.4%
0.0515
 
0.3%
0.0814
 
0.3%
0.04813
 
0.3%
0.0413
 
0.3%
0.03513
 
0.3%
0.06812
 
0.3%
0.1112
 
0.3%
0.05711
 
0.3%
0.08711
 
0.3%
Other values (1545)2493
57.0%
(Missing)1749
40.0%
ValueCountFrequency (%)
0.00441
< 0.1%
0.00581
< 0.1%
0.0062
< 0.1%
0.006221
< 0.1%
0.00761
< 0.1%
ValueCountFrequency (%)
35001
< 0.1%
28801
< 0.1%
25001
< 0.1%
20001
< 0.1%
11001
< 0.1%

pl_orbsmaxerr1
Real number (ℝ≥0)

MISSING
SKEWED

Distinct383
Distinct (%)21.1%
Missing2556
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean0.3979256482
Minimum0
Maximum200
Zeros42
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:10.466686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0002
Q10.00083
median0.003
Q30.038
95-th percentile0.714
Maximum200
Range200
Interquartile range (IQR)0.03717

Descriptive statistics

Standard deviation5.303160116
Coefficient of variation (CV)13.32701257
Kurtosis1122.177146
Mean0.3979256482
Median Absolute Deviation (MAD)0.0027
Skewness31.18359459
Sum723.826754
Variance28.12350722
MonotonicityNot monotonic
2021-07-09T15:06:10.622900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00184
 
1.9%
0.0251
 
1.2%
042
 
1.0%
0.00238
 
0.9%
0.001234
 
0.8%
0.000733
 
0.8%
0.001133
 
0.8%
0.000633
 
0.8%
0.0433
 
0.8%
0.0133
 
0.8%
Other values (373)1405
32.1%
(Missing)2556
58.4%
ValueCountFrequency (%)
042
1.0%
2 × 10-61
 
< 0.1%
5 × 10-61
 
< 0.1%
1 × 10-51
 
< 0.1%
1.1 × 10-51
 
< 0.1%
ValueCountFrequency (%)
2001
< 0.1%
601
< 0.1%
551
< 0.1%
401
< 0.1%
301
< 0.1%

pl_orbsmaxerr2
Real number (ℝ)

MISSING
SKEWED

Distinct383
Distinct (%)21.1%
Missing2557
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean-0.372270896
Minimum-200
Maximum0
Zeros42
Zeros (%)1.0%
Negative1776
Negative (%)40.6%
Memory size34.3 KiB
2021-07-09T15:06:10.777888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-200
5-th percentile-0.623
Q1-0.03875
median-0.003
Q3-0.00088
95-th percentile-0.0002
Maximum0
Range200
Interquartile range (IQR)0.03787

Descriptive statistics

Standard deviation5.295982043
Coefficient of variation (CV)-14.22615117
Kurtosis1129.520599
Mean-0.372270896
Median Absolute Deviation (MAD)0.002705
Skewness-31.33977615
Sum-676.788489
Variance28.0474258
MonotonicityNot monotonic
2021-07-09T15:06:10.918261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.00175
 
1.7%
-0.0256
 
1.3%
042
 
1.0%
-0.001138
 
0.9%
-0.00237
 
0.8%
-0.000535
 
0.8%
-0.0434
 
0.8%
-0.000934
 
0.8%
-0.000733
 
0.8%
-0.001233
 
0.8%
Other values (373)1401
32.0%
(Missing)2557
58.4%
ValueCountFrequency (%)
-2001
< 0.1%
-601
< 0.1%
-551
< 0.1%
-401
< 0.1%
-301
< 0.1%
ValueCountFrequency (%)
042
1.0%
-2 × 10-61
 
< 0.1%
-5 × 10-61
 
< 0.1%
-1 × 10-51
 
< 0.1%
-1.3 × 10-51
 
< 0.1%

pl_orbsmaxlim
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct2
Distinct (%)0.1%
Missing1681
Missing (%)38.4%
Infinite0
Infinite (%)0.0%
Mean-0.0007423904974
Minimum-1
Maximum0
Zeros2692
Zeros (%)61.5%
Negative2
Negative (%)< 0.1%
Memory size34.3 KiB
2021-07-09T15:06:11.043229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02724178451
Coefficient of variation (CV)-36.69468373
Kurtosis1344.497027
Mean-0.0007423904974
Median Absolute Deviation (MAD)0
Skewness-36.6810426
Sum-2
Variance0.0007421148232
MonotonicityNot monotonic
2021-07-09T15:06:11.136959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
02692
61.5%
-12
 
< 0.1%
(Missing)1681
38.4%
ValueCountFrequency (%)
-12
 
< 0.1%
02692
61.5%
ValueCountFrequency (%)
02692
61.5%
-12
 
< 0.1%

pl_orbsmaxn
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0608
Minimum0
Maximum13
Zeros1567
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:11.230685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.229293722
Coefficient of variation (CV)1.158836465
Kurtosis9.117463255
Mean1.0608
Median Absolute Deviation (MAD)1
Skewness2.258563333
Sum4641
Variance1.511163054
MonotonicityNot monotonic
2021-07-09T15:06:11.348753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
11817
41.5%
01567
35.8%
2533
 
12.2%
3256
 
5.9%
4112
 
2.6%
549
 
1.1%
618
 
0.4%
712
 
0.3%
94
 
0.1%
83
 
0.1%
Other values (3)4
 
0.1%
ValueCountFrequency (%)
01567
35.8%
11817
41.5%
2533
 
12.2%
3256
 
5.9%
4112
 
2.6%
ValueCountFrequency (%)
131
 
< 0.1%
112
< 0.1%
101
 
< 0.1%
94
0.1%
83
0.1%

pl_orbeccen
Real number (ℝ≥0)

MISSING
ZEROS

Distinct401
Distinct (%)25.1%
Missing2778
Missing (%)63.5%
Infinite0
Infinite (%)0.0%
Mean0.1532450219
Minimum0
Maximum0.95
Zeros359
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:11.476571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.013
median0.09
Q30.22
95-th percentile0.5518
Maximum0.95
Range0.95
Interquartile range (IQR)0.207

Descriptive statistics

Standard deviation0.1816131
Coefficient of variation (CV)1.185115821
Kurtosis2.805624161
Mean0.1532450219
Median Absolute Deviation (MAD)0.09
Skewness1.704878034
Sum244.7323
Variance0.0329833181
MonotonicityNot monotonic
2021-07-09T15:06:11.632786image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0359
 
8.2%
0.0731
 
0.7%
0.0629
 
0.7%
0.1129
 
0.7%
0.0428
 
0.6%
0.126
 
0.6%
0.0824
 
0.5%
0.0924
 
0.5%
0.223
 
0.5%
0.1223
 
0.5%
Other values (391)1001
 
22.9%
(Missing)2778
63.5%
ValueCountFrequency (%)
0359
8.2%
0.000641
 
< 0.1%
0.00071
 
< 0.1%
0.0011
 
< 0.1%
0.00141
 
< 0.1%
ValueCountFrequency (%)
0.951
< 0.1%
0.931
< 0.1%
0.921
< 0.1%
0.9031
< 0.1%
0.861
< 0.1%

pl_orbeccenerr1
Real number (ℝ≥0)

MISSING

Distinct209
Distinct (%)18.9%
Missing3270
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean0.06626759005
Minimum0
Maximum0.41
Zeros18
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:11.773379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.003
Q10.02
median0.05
Q30.09
95-th percentile0.2
Maximum0.41
Range0.41
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.06039425956
Coefficient of variation (CV)0.9113694873
Kurtosis3.085113141
Mean0.06626759005
Median Absolute Deviation (MAD)0.031
Skewness1.572261763
Sum73.225687
Variance0.003647466588
MonotonicityNot monotonic
2021-07-09T15:06:11.908202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0561
 
1.4%
0.0256
 
1.3%
0.0452
 
1.2%
0.0145
 
1.0%
0.0344
 
1.0%
0.141
 
0.9%
0.0840
 
0.9%
0.0638
 
0.9%
0.0934
 
0.8%
0.1132
 
0.7%
Other values (199)662
 
15.1%
(Missing)3270
74.7%
ValueCountFrequency (%)
018
0.4%
0.00011
 
< 0.1%
0.000121
 
< 0.1%
0.000131
 
< 0.1%
0.000181
 
< 0.1%
ValueCountFrequency (%)
0.411
< 0.1%
0.352
< 0.1%
0.341
< 0.1%
0.321
< 0.1%
0.311
< 0.1%

pl_orbeccenerr2
Real number (ℝ)

MISSING

Distinct194
Distinct (%)17.6%
Missing3270
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean-0.05545515928
Minimum-0.703
Maximum0
Zeros21
Zeros (%)0.5%
Negative1084
Negative (%)24.8%
Memory size34.3 KiB
2021-07-09T15:06:12.048798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-0.703
5-th percentile-0.15
Q1-0.08
median-0.04
Q3-0.02
95-th percentile-0.00202
Maximum0
Range0.703
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.05289275867
Coefficient of variation (CV)-0.9537932874
Kurtosis24.81660806
Mean-0.05545515928
Median Absolute Deviation (MAD)0.028
Skewness-3.1665864
Sum-61.277951
Variance0.00279764392
MonotonicityNot monotonic
2021-07-09T15:06:12.189424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0267
 
1.5%
-0.0360
 
1.4%
-0.0458
 
1.3%
-0.0556
 
1.3%
-0.0146
 
1.1%
-0.145
 
1.0%
-0.0941
 
0.9%
-0.0840
 
0.9%
-0.0639
 
0.9%
-0.0738
 
0.9%
Other values (184)615
 
14.1%
(Missing)3270
74.7%
ValueCountFrequency (%)
-0.7031
< 0.1%
-0.471
< 0.1%
-0.321
< 0.1%
-0.292
< 0.1%
-0.2451
< 0.1%
ValueCountFrequency (%)
021
0.5%
-0.000121
 
< 0.1%
-0.000131
 
< 0.1%
-0.000161
 
< 0.1%
-0.000171
 
< 0.1%

pl_orbeccenlim
Real number (ℝ)

MISSING
ZEROS

Distinct3
Distinct (%)0.2%
Missing2673
Missing (%)61.1%
Infinite0
Infinite (%)0.0%
Mean0.0687426557
Minimum-1
Maximum1
Zeros1567
Zeros (%)35.8%
Negative9
Negative (%)0.2%
Memory size34.3 KiB
2021-07-09T15:06:12.314362image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2731972704
Coefficient of variation (CV)3.974203027
Kurtosis8.278192401
Mean0.0687426557
Median Absolute Deviation (MAD)0
Skewness2.605533479
Sum117
Variance0.07463674855
MonotonicityNot monotonic
2021-07-09T15:06:12.412228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
01567
35.8%
1126
 
2.9%
-19
 
0.2%
(Missing)2673
61.1%
ValueCountFrequency (%)
-19
 
0.2%
01567
35.8%
1126
 
2.9%
ValueCountFrequency (%)
1126
 
2.9%
01567
35.8%
-19
 
0.2%

pl_orbeccenn
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7654857143
Minimum0
Maximum11
Zeros2607
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:12.521076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.258477276
Coefficient of variation (CV)1.644024509
Kurtosis8.067146533
Mean0.7654857143
Median Absolute Deviation (MAD)0
Skewness2.414528428
Sum3349
Variance1.583765053
MonotonicityNot monotonic
2021-07-09T15:06:12.614805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
02607
59.6%
1965
 
22.1%
2398
 
9.1%
3208
 
4.8%
4103
 
2.4%
552
 
1.2%
623
 
0.5%
710
 
0.2%
83
 
0.1%
112
 
< 0.1%
Other values (2)4
 
0.1%
ValueCountFrequency (%)
02607
59.6%
1965
 
22.1%
2398
 
9.1%
3208
 
4.8%
4103
 
2.4%
ValueCountFrequency (%)
112
 
< 0.1%
102
 
< 0.1%
92
 
< 0.1%
83
 
0.1%
710
0.2%

pl_orbincl
Real number (ℝ≥0)

MISSING

Distinct564
Distinct (%)56.3%
Missing3373
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean86.67170459
Minimum7.7
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:12.739775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum7.7
5-th percentile80.105
Q186.3
median88.21
Q389.2975
95-th percentile89.97285
Maximum140
Range132.3
Interquartile range (IQR)2.9975

Descriptive statistics

Standard deviation7.847289439
Coefficient of variation (CV)0.09054038427
Kurtosis37.1385029
Mean86.67170459
Median Absolute Deviation (MAD)1.29
Skewness-3.945660828
Sum86845.048
Variance61.57995153
MonotonicityNot monotonic
2021-07-09T15:06:12.880367image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9025
 
0.6%
8813
 
0.3%
89.411
 
0.3%
88.810
 
0.2%
86.810
 
0.2%
8910
 
0.2%
88.310
 
0.2%
86.99
 
0.2%
88.48
 
0.2%
89.38
 
0.2%
Other values (554)888
 
20.3%
(Missing)3373
77.1%
ValueCountFrequency (%)
7.71
< 0.1%
17.61
< 0.1%
251
< 0.1%
25.0341
< 0.1%
301
< 0.1%
ValueCountFrequency (%)
1401
< 0.1%
1331
< 0.1%
1321
< 0.1%
1271
< 0.1%
105.831
< 0.1%

pl_orbinclerr1
Real number (ℝ≥0)

MISSING

Distinct294
Distinct (%)30.5%
Missing3410
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean0.9512321244
Minimum0
Maximum56.232
Zeros4
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:13.009563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03
Q10.19
median0.45
Q30.93
95-th percentile2.478
Maximum56.232
Range56.232
Interquartile range (IQR)0.74

Descriptive statistics

Standard deviation2.833938931
Coefficient of variation (CV)2.979229631
Kurtosis207.3492712
Mean0.9512321244
Median Absolute Deviation (MAD)0.31
Skewness12.79643902
Sum917.939
Variance8.031209863
MonotonicityNot monotonic
2021-07-09T15:06:13.134533image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.232
 
0.7%
0.327
 
0.6%
0.521
 
0.5%
0.420
 
0.5%
0.720
 
0.5%
0.2218
 
0.4%
0.618
 
0.4%
1.317
 
0.4%
1.117
 
0.4%
1.215
 
0.3%
Other values (284)760
 
17.4%
(Missing)3410
77.9%
ValueCountFrequency (%)
04
0.1%
0.0011
 
< 0.1%
0.0022
< 0.1%
0.0043
0.1%
0.0053
0.1%
ValueCountFrequency (%)
56.2321
< 0.1%
421
< 0.1%
271
< 0.1%
201
< 0.1%
181
< 0.1%

pl_orbinclerr2
Real number (ℝ)

MISSING

Distinct296
Distinct (%)30.6%
Missing3408
Missing (%)77.9%
Infinite0
Infinite (%)0.0%
Mean-1.027746639
Minimum-42
Maximum0
Zeros1
Zeros (%)< 0.1%
Negative966
Negative (%)22.1%
Memory size34.3 KiB
2021-07-09T15:06:14.013445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-42
5-th percentile-3.5609
Q1-0.99
median-0.45
Q3-0.18
95-th percentile-0.031
Maximum0
Range42
Interquartile range (IQR)0.81

Descriptive statistics

Standard deviation2.345229426
Coefficient of variation (CV)-2.281913982
Kurtosis122.8061239
Mean-1.027746639
Median Absolute Deviation (MAD)0.32
Skewness-9.166026198
Sum-993.831
Variance5.500101061
MonotonicityNot monotonic
2021-07-09T15:06:14.140450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.231
 
0.7%
-0.727
 
0.6%
-0.326
 
0.6%
-0.522
 
0.5%
-0.619
 
0.4%
-0.418
 
0.4%
-0.117
 
0.4%
-0.1616
 
0.4%
-1.315
 
0.3%
-114
 
0.3%
Other values (286)762
 
17.4%
(Missing)3408
77.9%
ValueCountFrequency (%)
-421
< 0.1%
-251
< 0.1%
-241
< 0.1%
-18.2551
< 0.1%
-14.5531
< 0.1%
ValueCountFrequency (%)
01
< 0.1%
-0.0011
< 0.1%
-0.0021
< 0.1%
-0.0031
< 0.1%
-0.0042
< 0.1%

pl_orbincllim
Real number (ℝ)

MISSING
ZEROS

Distinct3
Distinct (%)0.3%
Missing3233
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean-0.002626970228
Minimum-1
Maximum1
Zeros1137
Zeros (%)26.0%
Negative4
Negative (%)0.1%
Memory size34.3 KiB
2021-07-09T15:06:14.249791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06614539988
Coefficient of variation (CV)-25.17934889
Kurtosis225.6787596
Mean-0.002626970228
Median Absolute Deviation (MAD)0
Skewness-8.981767521
Sum-3
Variance0.004375213926
MonotonicityNot monotonic
2021-07-09T15:06:14.343519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
01137
 
26.0%
-14
 
0.1%
11
 
< 0.1%
(Missing)3233
73.9%
ValueCountFrequency (%)
-14
 
0.1%
01137
26.0%
11
 
< 0.1%
ValueCountFrequency (%)
11
 
< 0.1%
01137
26.0%
-14
 
0.1%

pl_orbincln
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5081142857
Minimum0
Maximum17
Zeros3191
Zeros (%)72.9%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:14.437246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum17
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.180688029
Coefficient of variation (CV)2.323666273
Kurtosis25.06766584
Mean0.5081142857
Median Absolute Deviation (MAD)0
Skewness4.089607298
Sum2223
Variance1.394024221
MonotonicityNot monotonic
2021-07-09T15:06:14.536475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
03191
72.9%
1741
 
16.9%
2195
 
4.5%
3102
 
2.3%
466
 
1.5%
537
 
0.8%
713
 
0.3%
610
 
0.2%
88
 
0.2%
97
 
0.2%
Other values (3)5
 
0.1%
ValueCountFrequency (%)
03191
72.9%
1741
 
16.9%
2195
 
4.5%
3102
 
2.3%
466
 
1.5%
ValueCountFrequency (%)
171
 
< 0.1%
112
 
< 0.1%
102
 
< 0.1%
97
0.2%
88
0.2%

pl_bmassj
Real number (ℝ≥0)

MISSING

Distinct1244
Distinct (%)67.1%
Missing2521
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean2.351070663
Minimum6 × 10-5
Maximum55.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:14.650544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum6 × 10-5
5-th percentile0.01007
Q10.057275
median0.768
Q32.4
95-th percentile11
Maximum55.59
Range55.58994
Interquartile range (IQR)2.342725

Descriptive statistics

Standard deviation4.249011326
Coefficient of variation (CV)1.807266533
Kurtosis21.59729822
Mean2.351070663
Median Absolute Deviation (MAD)0.742
Skewness3.686416634
Sum4358.88501
Variance18.05409725
MonotonicityNot monotonic
2021-07-09T15:06:14.775512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.277
 
0.2%
0.027
 
0.2%
2.37
 
0.2%
17
 
0.2%
1.376
 
0.1%
2.436
 
0.1%
66
 
0.1%
0.076
 
0.1%
0.0196
 
0.1%
0.826
 
0.1%
Other values (1234)1790
40.9%
(Missing)2521
57.6%
ValueCountFrequency (%)
6 × 10-51
< 0.1%
0.000211
< 0.1%
0.000911
< 0.1%
0.001291
< 0.1%
0.00141
< 0.1%
ValueCountFrequency (%)
55.591
< 0.1%
301
< 0.1%
28.51
< 0.1%
27.231
< 0.1%
27.11
< 0.1%

pl_bmassjerr1
Real number (ℝ≥0)

MISSING
SKEWED

Distinct551
Distinct (%)32.4%
Missing2673
Missing (%)61.1%
Infinite0
Infinite (%)0.0%
Mean0.5453908049
Minimum0
Maximum83.79
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:14.900486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0015705
Q10.01
median0.07
Q30.25
95-th percentile2.1
Maximum83.79
Range83.79
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation3.169633222
Coefficient of variation (CV)5.811673378
Kurtosis499.647937
Mean0.5453908049
Median Absolute Deviation (MAD)0.066
Skewness20.40114074
Sum928.25515
Variance10.04657476
MonotonicityNot monotonic
2021-07-09T15:06:15.036381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0329
 
0.7%
0.0829
 
0.7%
0.1328
 
0.6%
0.127
 
0.6%
0.0225
 
0.6%
0.1225
 
0.6%
0.0624
 
0.5%
0.0723
 
0.5%
0.1622
 
0.5%
0.0522
 
0.5%
Other values (541)1448
33.1%
(Missing)2673
61.1%
ValueCountFrequency (%)
05
0.1%
1 × 10-51
 
< 0.1%
0.000191
 
< 0.1%
0.00021
 
< 0.1%
0.000241
 
< 0.1%
ValueCountFrequency (%)
83.791
< 0.1%
78.551
< 0.1%
24.991
< 0.1%
23.0421
< 0.1%
201
< 0.1%

pl_bmassjerr2
Real number (ℝ)

MISSING
SKEWED

Distinct536
Distinct (%)31.5%
Missing2673
Missing (%)61.1%
Infinite0
Infinite (%)0.0%
Mean-0.42479396
Minimum-78.55
Maximum0
Zeros5
Zeros (%)0.1%
Negative1697
Negative (%)38.8%
Memory size34.3 KiB
2021-07-09T15:06:15.150911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-78.55
5-th percentile-1.7
Q1-0.23
median-0.0655
Q3-0.01
95-th percentile-0.00157
Maximum0
Range78.55
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation2.247150291
Coefficient of variation (CV)-5.28997703
Kurtosis866.8943775
Mean-0.42479396
Median Absolute Deviation (MAD)0.061875
Skewness-26.00281606
Sum-722.99932
Variance5.049684431
MonotonicityNot monotonic
2021-07-09T15:06:15.291500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0333
 
0.8%
-0.130
 
0.7%
-0.0828
 
0.6%
-0.1228
 
0.6%
-0.0628
 
0.6%
-0.0425
 
0.6%
-0.0523
 
0.5%
-0.1523
 
0.5%
-0.1323
 
0.5%
-0.0223
 
0.5%
Other values (526)1438
32.9%
(Missing)2673
61.1%
ValueCountFrequency (%)
-78.551
< 0.1%
-20.951
< 0.1%
-151
< 0.1%
-13.261
< 0.1%
-12.991
< 0.1%
ValueCountFrequency (%)
05
0.1%
-1 × 10-51
 
< 0.1%
-0.000121
 
< 0.1%
-0.00021
 
< 0.1%
-0.000241
 
< 0.1%

pl_bmassjlim
Real number (ℝ)

MISSING
ZEROS

Distinct3
Distinct (%)0.2%
Missing2429
Missing (%)55.5%
Infinite0
Infinite (%)0.0%
Mean0.03854059609
Minimum-1
Maximum1
Zeros1851
Zeros (%)42.3%
Negative10
Negative (%)0.2%
Memory size34.3 KiB
2021-07-09T15:06:15.416470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2176167421
Coefficient of variation (CV)5.646429067
Kurtosis16.37440335
Mean0.03854059609
Median Absolute Deviation (MAD)0
Skewness3.208093735
Sum75
Variance0.04735704642
MonotonicityNot monotonic
2021-07-09T15:06:15.510197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
01851
42.3%
185
 
1.9%
-110
 
0.2%
(Missing)2429
55.5%
ValueCountFrequency (%)
-110
 
0.2%
01851
42.3%
185
 
1.9%
ValueCountFrequency (%)
185
 
1.9%
01851
42.3%
-110
 
0.2%

pl_bmassn
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9337142857
Minimum0
Maximum17
Zeros2396
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:15.606070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum17
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.508153207
Coefficient of variation (CV)1.615219163
Kurtosis12.53634854
Mean0.9337142857
Median Absolute Deviation (MAD)0
Skewness2.810327152
Sum4085
Variance2.274526096
MonotonicityNot monotonic
2021-07-09T15:06:15.709867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
02396
54.8%
11041
23.8%
2413
 
9.4%
3238
 
5.4%
4136
 
3.1%
576
 
1.7%
629
 
0.7%
718
 
0.4%
88
 
0.2%
97
 
0.2%
Other values (6)13
 
0.3%
ValueCountFrequency (%)
02396
54.8%
11041
23.8%
2413
 
9.4%
3238
 
5.4%
4136
 
3.1%
ValueCountFrequency (%)
171
 
< 0.1%
141
 
< 0.1%
131
 
< 0.1%
122
 
< 0.1%
115
0.1%

pl_bmassprov
Categorical

MISSING

Distinct3
Distinct (%)0.2%
Missing2521
Missing (%)57.6%
Memory size34.3 KiB
Mass
1042 
Msini
798 
Msin(i)/sin(i)
 
14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMass
2nd rowMass
3rd rowMass
4th rowMass
5th rowMsini

Common Values

ValueCountFrequency (%)
Mass1042
23.8%
Msini798
 
18.2%
Msin(i)/sin(i)14
 
0.3%
(Missing)2521
57.6%

pl_radj
Real number (ℝ≥0)

MISSING

Distinct804
Distinct (%)24.0%
Missing1023
Missing (%)23.4%
Infinite0
Infinite (%)0.0%
Mean0.3815199881
Minimum0.026
Maximum6.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:15.928569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.026
5-th percentile0.09
Q10.141
median0.211
Q30.32625
95-th percentile1.33545
Maximum6.9
Range6.874
Interquartile range (IQR)0.18525

Descriptive statistics

Standard deviation0.4273192092
Coefficient of variation (CV)1.120044094
Kurtosis18.30428643
Mean0.3815199881
Median Absolute Deviation (MAD)0.079
Skewness2.77607593
Sum1278.855
Variance0.1826017066
MonotonicityNot monotonic
2021-07-09T15:06:16.068827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.17837
 
0.8%
0.13627
 
0.6%
0.21127
 
0.6%
0.12826
 
0.6%
0.1725
 
0.6%
0.11222
 
0.5%
0.1222
 
0.5%
0.14522
 
0.5%
0.22721
 
0.5%
0.19421
 
0.5%
Other values (794)3102
70.9%
(Missing)1023
 
23.4%
ValueCountFrequency (%)
0.0261
< 0.1%
0.0361
< 0.1%
0.0421
< 0.1%
0.0441
< 0.1%
0.0461
< 0.1%
ValueCountFrequency (%)
6.91
< 0.1%
31
< 0.1%
2.721
< 0.1%
2.21
< 0.1%
2.0851
< 0.1%

pl_radjerr1
Real number (ℝ≥0)

MISSING
SKEWED

Distinct238
Distinct (%)7.3%
Missing1104
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean0.05310210945
Minimum0
Maximum6.148
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:16.203626image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.005
Q10.012
median0.028
Q30.058
95-th percentile0.1465
Maximum6.148
Range6.148
Interquartile range (IQR)0.046

Descriptive statistics

Standard deviation0.1543433183
Coefficient of variation (CV)2.906538364
Kurtosis820.2323806
Mean0.05310210945
Median Absolute Deviation (MAD)0.018
Skewness24.28221879
Sum173.697
Variance0.02382185991
MonotonicityNot monotonic
2021-07-09T15:06:16.328595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.012134
 
3.1%
0.00997
 
2.2%
0.00885
 
1.9%
0.02184
 
1.9%
0.01183
 
1.9%
0.00780
 
1.8%
0.00577
 
1.8%
0.0176
 
1.7%
0.00472
 
1.6%
0.01871
 
1.6%
Other values (228)2412
55.1%
(Missing)1104
25.2%
ValueCountFrequency (%)
01
 
< 0.1%
0.0012
 
< 0.1%
0.00219
 
0.4%
0.00328
 
0.6%
0.00472
1.6%
ValueCountFrequency (%)
6.1481
< 0.1%
2.71
< 0.1%
2.3781
< 0.1%
2.3461
< 0.1%
2.2761
< 0.1%

pl_radjerr2
Real number (ℝ)

MISSING

Distinct199
Distinct (%)6.1%
Missing1104
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean-0.04119657597
Minimum-2.9
Maximum0
Zeros3
Zeros (%)0.1%
Negative3268
Negative (%)74.7%
Memory size34.3 KiB
2021-07-09T15:06:16.469191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-2.9
5-th percentile-0.1285
Q1-0.046
median-0.021
Q3-0.0115
95-th percentile-0.005
Maximum0
Range2.9
Interquartile range (IQR)0.0345

Descriptive statistics

Standard deviation0.08991523804
Coefficient of variation (CV)-2.18259008
Kurtosis511.0261975
Mean-0.04119657597
Median Absolute Deviation (MAD)0.012
Skewness-18.89623889
Sum-134.754
Variance0.008084750031
MonotonicityNot monotonic
2021-07-09T15:06:16.598267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.012178
 
4.1%
-0.009120
 
2.7%
-0.01107
 
2.4%
-0.007106
 
2.4%
-0.021102
 
2.3%
-0.01195
 
2.2%
-0.00889
 
2.0%
-0.00488
 
2.0%
-0.00688
 
2.0%
-0.01582
 
1.9%
Other values (189)2216
50.7%
(Missing)1104
25.2%
ValueCountFrequency (%)
-2.91
< 0.1%
-2.3781
< 0.1%
-1.9021
< 0.1%
-0.8321
< 0.1%
-0.61
< 0.1%
ValueCountFrequency (%)
03
 
0.1%
-0.0014
 
0.1%
-0.00217
 
0.4%
-0.00335
 
0.8%
-0.00488
2.0%

pl_radjlim
Real number (ℝ)

MISSING
ZEROS

Distinct3
Distinct (%)0.1%
Missing950
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean-0.0002919708029
Minimum-1
Maximum1
Zeros3422
Zeros (%)78.2%
Negative2
Negative (%)< 0.1%
Memory size34.3 KiB
2021-07-09T15:06:16.696738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02959869849
Coefficient of variation (CV)-101.3755423
Kurtosis1140.11044
Mean-0.0002919708029
Median Absolute Deviation (MAD)0
Skewness-11.23982208
Sum-1
Variance0.0008760829525
MonotonicityNot monotonic
2021-07-09T15:06:16.790475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
03422
78.2%
-12
 
< 0.1%
11
 
< 0.1%
(Missing)950
 
21.7%
ValueCountFrequency (%)
-12
 
< 0.1%
03422
78.2%
11
 
< 0.1%
ValueCountFrequency (%)
11
 
< 0.1%
03422
78.2%
-12
 
< 0.1%

pl_radn
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.920457143
Minimum0
Maximum19
Zeros996
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:16.899817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum19
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.642090344
Coefficient of variation (CV)0.8550518035
Kurtosis5.237091374
Mean1.920457143
Median Absolute Deviation (MAD)1
Skewness1.441676092
Sum8402
Variance2.696460696
MonotonicityNot monotonic
2021-07-09T15:06:16.993545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
21419
32.4%
0996
22.8%
3740
16.9%
1711
16.3%
4242
 
5.5%
5104
 
2.4%
678
 
1.8%
738
 
0.9%
830
 
0.7%
911
 
0.3%
Other values (3)6
 
0.1%
ValueCountFrequency (%)
0996
22.8%
1711
16.3%
21419
32.4%
3740
16.9%
4242
 
5.5%
ValueCountFrequency (%)
191
 
< 0.1%
131
 
< 0.1%
104
 
0.1%
911
 
0.3%
830
0.7%

pl_dens
Real number (ℝ≥0)

MISSING

Distinct403
Distinct (%)67.7%
Missing3780
Missing (%)86.4%
Infinite0
Infinite (%)0.0%
Mean2.550872437
Minimum0.03
Maximum77.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:17.333253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.19
Q10.46
median1.076
Q32.98
95-th percentile8.302
Maximum77.7
Range77.67
Interquartile range (IQR)2.52

Descriptive statistics

Standard deviation4.795622911
Coefficient of variation (CV)1.87999323
Kurtosis108.4858447
Mean2.550872437
Median Absolute Deviation (MAD)0.758
Skewness8.284019218
Sum1517.7691
Variance22.99799911
MonotonicityNot monotonic
2021-07-09T15:06:17.458224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.49
 
0.2%
0.316
 
0.1%
1.25
 
0.1%
1.35
 
0.1%
0.285
 
0.1%
0.385
 
0.1%
1.65
 
0.1%
0.334
 
0.1%
1.74
 
0.1%
0.554
 
0.1%
Other values (393)543
 
12.4%
(Missing)3780
86.4%
ValueCountFrequency (%)
0.032
< 0.1%
0.0461
< 0.1%
0.0521
< 0.1%
0.0761
< 0.1%
0.091
< 0.1%
ValueCountFrequency (%)
77.71
< 0.1%
33.11
< 0.1%
31.931
< 0.1%
26.41
< 0.1%
24.71
< 0.1%

pl_denserr1
Real number (ℝ≥0)

MISSING

Distinct223
Distinct (%)38.9%
Missing3801
Missing (%)86.9%
Infinite0
Infinite (%)0.0%
Mean0.7623567944
Minimum0.009
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:17.598813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.009
5-th percentile0.02817
Q10.0785
median0.214
Q30.7895
95-th percentile2.7
Maximum55
Range54.991
Interquartile range (IQR)0.711

Descriptive statistics

Standard deviation2.696762429
Coefficient of variation (CV)3.537401973
Kurtosis294.790794
Mean0.7623567944
Median Absolute Deviation (MAD)0.1675
Skewness15.5815108
Sum437.5928
Variance7.272527597
MonotonicityNot monotonic
2021-07-09T15:06:17.712813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0412
 
0.3%
0.1612
 
0.3%
0.1812
 
0.3%
1.112
 
0.3%
0.1311
 
0.3%
0.0711
 
0.3%
0.311
 
0.3%
0.1110
 
0.2%
0.159
 
0.2%
1.39
 
0.2%
Other values (213)465
 
10.6%
(Missing)3801
86.9%
ValueCountFrequency (%)
0.0091
< 0.1%
0.011
< 0.1%
0.0132
< 0.1%
0.0152
< 0.1%
0.0162
< 0.1%
ValueCountFrequency (%)
551
< 0.1%
22.31
< 0.1%
16.131
< 0.1%
71
< 0.1%
6.461
< 0.1%

pl_denserr2
Real number (ℝ)

MISSING

Distinct209
Distinct (%)36.4%
Missing3801
Missing (%)86.9%
Infinite0
Infinite (%)0.0%
Mean-0.659754007
Minimum-55
Maximum-0.009
Zeros0
Zeros (%)0.0%
Negative574
Negative (%)13.1%
Memory size34.3 KiB
2021-07-09T15:06:17.842503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-55
5-th percentile-2.2
Q1-0.64
median-0.19
Q3-0.071
95-th percentile-0.027
Maximum-0.009
Range54.991
Interquartile range (IQR)0.569

Descriptive statistics

Standard deviation2.515508775
Coefficient of variation (CV)-3.812798026
Kurtosis383.7666788
Mean-0.659754007
Median Absolute Deviation (MAD)0.148
Skewness-18.18149405
Sum-378.6988
Variance6.327784399
MonotonicityNot monotonic
2021-07-09T15:06:17.967434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0717
 
0.4%
-0.1615
 
0.3%
-0.1515
 
0.3%
-0.1115
 
0.3%
-0.0414
 
0.3%
-1.313
 
0.3%
-0.311
 
0.3%
-19
 
0.2%
-0.189
 
0.2%
-0.139
 
0.2%
Other values (199)447
 
10.2%
(Missing)3801
86.9%
ValueCountFrequency (%)
-551
< 0.1%
-16.131
< 0.1%
-6.461
< 0.1%
-6.331
< 0.1%
-5.61
< 0.1%
ValueCountFrequency (%)
-0.0092
< 0.1%
-0.012
< 0.1%
-0.0121
 
< 0.1%
-0.0133
0.1%
-0.0162
< 0.1%

pl_denslim
Real number (ℝ)

MISSING
ZEROS

Distinct3
Distinct (%)0.4%
Missing3590
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean0.0178343949
Minimum-1
Maximum1
Zeros767
Zeros (%)17.5%
Negative2
Negative (%)< 0.1%
Memory size34.3 KiB
2021-07-09T15:06:18.076784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1504683101
Coefficient of variation (CV)8.4369731
Kurtosis39.70339152
Mean0.0178343949
Median Absolute Deviation (MAD)0
Skewness4.896987924
Sum14
Variance0.02264071234
MonotonicityNot monotonic
2021-07-09T15:06:18.170545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0767
 
17.5%
116
 
0.4%
-12
 
< 0.1%
(Missing)3590
82.1%
ValueCountFrequency (%)
-12
 
< 0.1%
0767
17.5%
116
 
0.4%
ValueCountFrequency (%)
116
 
0.4%
0767
17.5%
-12
 
< 0.1%

pl_densn
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3332571429
Minimum0
Maximum11
Zeros3606
Zeros (%)82.4%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:18.277864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9162595537
Coefficient of variation (CV)2.749407097
Kurtosis20.37591578
Mean0.3332571429
Median Absolute Deviation (MAD)0
Skewness3.957338746
Sum1458
Variance0.8395315697
MonotonicityNot monotonic
2021-07-09T15:06:18.371591image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
03606
82.4%
1418
 
9.6%
2181
 
4.1%
385
 
1.9%
443
 
1.0%
520
 
0.5%
710
 
0.2%
69
 
0.2%
82
 
< 0.1%
111
 
< 0.1%
ValueCountFrequency (%)
03606
82.4%
1418
 
9.6%
2181
 
4.1%
385
 
1.9%
443
 
1.0%
ValueCountFrequency (%)
111
 
< 0.1%
82
 
< 0.1%
710
0.2%
69
0.2%
520
0.5%

pl_ttvflag
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07314285714
Minimum0
Maximum1
Zeros4055
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:18.465322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2604006119
Coefficient of variation (CV)3.560164616
Kurtosis8.762171742
Mean0.07314285714
Median Absolute Deviation (MAD)0
Skewness3.279964388
Sum320
Variance0.06780847867
MonotonicityNot monotonic
2021-07-09T15:06:18.559049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
04055
92.7%
1320
 
7.3%
ValueCountFrequency (%)
04055
92.7%
1320
 
7.3%
ValueCountFrequency (%)
1320
 
7.3%
04055
92.7%

pl_kepflag
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5517714286
Minimum0
Maximum1
Zeros1961
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:18.652775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.497369342
Coefficient of variation (CV)0.9014046691
Kurtosis-1.957516085
Mean0.5517714286
Median Absolute Deviation (MAD)0
Skewness-0.2082762324
Sum2414
Variance0.2473762623
MonotonicityNot monotonic
2021-07-09T15:06:18.731933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
12414
55.2%
01961
44.8%
ValueCountFrequency (%)
01961
44.8%
12414
55.2%
ValueCountFrequency (%)
12414
55.2%
01961
44.8%

pl_k2flag
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1030857143
Minimum0
Maximum1
Zeros3924
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:18.825563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3041055542
Coefficient of variation (CV)2.950026164
Kurtosis4.822479687
Mean0.1030857143
Median Absolute Deviation (MAD)0
Skewness2.611565686
Sum451
Variance0.09248018812
MonotonicityNot monotonic
2021-07-09T15:06:18.903676image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
03924
89.7%
1451
 
10.3%
ValueCountFrequency (%)
03924
89.7%
1451
 
10.3%
ValueCountFrequency (%)
1451
 
10.3%
03924
89.7%

ra_str
Categorical

HIGH CARDINALITY

Distinct3243
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
18h57m44.04s
 
8
23h06m29.28s
 
7
19h48m27.63s
 
6
01h37m53.58s
 
6
05h17m40.98s
 
6
Other values (3238)
4342 

Unique

Unique2497 ?
Unique (%)57.1%

Sample

1st row18h49m58.13s
2nd row18h49m58.13s
3rd row19h01m14.71s
4th row19h01m14.71s
5th row19h13m48.16s

Common Values

ValueCountFrequency (%)
18h57m44.04s8
 
0.2%
23h06m29.28s7
 
0.2%
19h48m27.63s6
 
0.1%
01h37m53.58s6
 
0.1%
05h17m40.98s6
 
0.1%
23h13m16.98s6
 
0.1%
19h44m27.02s6
 
0.1%
00h29m12.30s6
 
0.1%
23h15m47.77s6
 
0.1%
19h10m47.52s6
 
0.1%
Other values (3233)4312
98.6%

dec_str
Categorical

HIGH CARDINALITY

Distinct3246
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
+49d18m18.6s
 
8
-05d02m28.6s
 
7
+41d54m32.9s
 
6
+39d58m43.6s
 
6
+57d10m06.1s
 
6
Other values (3241)
4342 

Unique

Unique2503 ?
Unique (%)57.2%

Sample

1st row+43d58m48.8s
2nd row+43d58m48.8s
3rd row+47d50m54.9s
4th row+47d50m54.9s
5th row+40d14m43.1s

Common Values

ValueCountFrequency (%)
+49d18m18.6s8
 
0.2%
-05d02m28.6s7
 
0.2%
+41d54m32.9s6
 
0.1%
+39d58m43.6s6
 
0.1%
+57d10m06.1s6
 
0.1%
-60d30m41.5s6
 
0.1%
+42d20m19.4s6
 
0.1%
-10d50m58.9s6
 
0.1%
+07d21m12.0s6
 
0.1%
-30d27m13.46s6
 
0.1%
Other values (3236)4312
98.6%

ra
Real number (ℝ≥0)

Distinct3247
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.793961
Minimum0.185667
Maximum359.974304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:19.359802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.185667
5-th percentile40.6889894
Q1196.141678
median287.134895
Q3293.732821
95-th percentile324.536396
Maximum359.974304
Range359.788637
Interquartile range (IQR)97.591143

Descriptive statistics

Standard deviation88.06238187
Coefficient of variation (CV)0.3642042238
Kurtosis0.5149821936
Mean241.793961
Median Absolute Deviation (MAD)9.618078
Skewness-1.329530273
Sum1057848.579
Variance7754.983101
MonotonicityNot monotonic
2021-07-09T15:06:19.484769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
284.4334928
 
0.2%
346.6220137
 
0.2%
287.6980046
 
0.1%
348.9490366
 
0.1%
297.1151236
 
0.1%
7.301256
 
0.1%
79.4207466
 
0.1%
348.320746
 
0.1%
296.1125646
 
0.1%
24.4732346
 
0.1%
Other values (3237)4312
98.6%
ValueCountFrequency (%)
0.1856671
< 0.1%
0.325751
< 0.1%
0.3621421
< 0.1%
0.7744851
< 0.1%
1.0463511
< 0.1%
ValueCountFrequency (%)
359.9743041
< 0.1%
359.9002922
< 0.1%
359.7156681
< 0.1%
359.3489911
< 0.1%
359.1915281
< 0.1%

st_raerr
Real number (ℝ≥0)

MISSING
ZEROS

Distinct32
Distinct (%)0.8%
Missing240
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean1.327376058 × 10-5
Minimum0
Maximum0.0001
Zeros537
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:19.625366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12 × 10-6
median1.7 × 10-5
Q31.9 × 10-5
95-th percentile2.2 × 10-5
Maximum0.0001
Range0.0001
Interquartile range (IQR)1.7 × 10-5

Descriptive statistics

Standard deviation9.291105961 × 10-6
Coefficient of variation (CV)0.6999603394
Kurtosis6.458133144
Mean1.327376058 × 10-5
Median Absolute Deviation (MAD)2 × 10-6
Skewness0.6840956035
Sum0.054887
Variance8.632464998 × 10-11
MonotonicityNot monotonic
2021-07-09T15:06:19.734717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1.7 × 10-51559
35.6%
1.9 × 10-5814
18.6%
0537
 
12.3%
2 × 10-6371
 
8.5%
2.2 × 10-5203
 
4.6%
1 × 10-6164
 
3.7%
3 × 10-6158
 
3.6%
4 × 10-670
 
1.6%
2.5 × 10-560
 
1.4%
3.1 × 10-547
 
1.1%
Other values (22)152
 
3.5%
(Missing)240
 
5.5%
ValueCountFrequency (%)
0537
12.3%
1 × 10-6164
 
3.7%
2 × 10-6371
8.5%
3 × 10-6158
 
3.6%
4 × 10-670
 
1.6%
ValueCountFrequency (%)
0.00012
< 0.1%
9.8 × 10-51
< 0.1%
9.2 × 10-51
< 0.1%
6.7 × 10-51
< 0.1%
6.1 × 10-52
< 0.1%

dec
Real number (ℝ)

Distinct3247
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.54135452
Minimum-88.121033
Maximum85.736153
Zeros0
Zeros (%)0.0%
Negative1164
Negative (%)26.6%
Memory size34.3 KiB
2021-07-09T15:06:19.869611image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-88.121033
5-th percentile-49.1570367
Q1-2.493383
median40.567738
Q345.6968975
95-th percentile50.2200292
Maximum85.736153
Range173.857186
Interquartile range (IQR)48.1902805

Descriptive statistics

Standard deviation33.88236034
Coefficient of variation (CV)1.57289832
Kurtosis-0.03835232967
Mean21.54135452
Median Absolute Deviation (MAD)8.031982
Skewness-1.06314397
Sum94243.42604
Variance1148.014342
MonotonicityNot monotonic
2021-07-09T15:06:19.978962image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49.3051618
 
0.2%
-5.0412747
 
0.2%
41.9091386
 
0.1%
39.9787796
 
0.1%
42.3387266
 
0.1%
-60.5115286
 
0.1%
7.3533436
 
0.1%
57.1683546
 
0.1%
-10.8496966
 
0.1%
-30.4537396
 
0.1%
Other values (3237)4312
98.6%
ValueCountFrequency (%)
-88.1210331
< 0.1%
-84.2316131
< 0.1%
-80.4691242
< 0.1%
-80.204591
< 0.1%
-79.8511811
< 0.1%
ValueCountFrequency (%)
85.7361531
< 0.1%
85.2332171
< 0.1%
83.6970292
< 0.1%
81.3263851
< 0.1%
80.1363981
< 0.1%

st_decerr
Real number (ℝ≥0)

MISSING
ZEROS

Distinct22
Distinct (%)0.5%
Missing240
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean1.212019347 × 10-5
Minimum0
Maximum9.4 × 10-5
Zeros537
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:20.119548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12 × 10-6
median1.7 × 10-5
Q31.7 × 10-5
95-th percentile1.9 × 10-5
Maximum9.4 × 10-5
Range9.4 × 10-5
Interquartile range (IQR)1.5 × 10-5

Descriptive statistics

Standard deviation8.090879308 × 10-6
Coefficient of variation (CV)0.6675536432
Kurtosis6.005777647
Mean1.212019347 × 10-5
Median Absolute Deviation (MAD)0
Skewness0.2359698089
Sum0.050117
Variance6.546232797 × 10-11
MonotonicityNot monotonic
2021-07-09T15:06:20.228899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1.7 × 10-52528
57.8%
0537
 
12.3%
2 × 10-6449
 
10.3%
1 × 10-6218
 
5.0%
1.9 × 10-5169
 
3.9%
3 × 10-6102
 
2.3%
2.2 × 10-537
 
0.8%
4 × 10-631
 
0.7%
5 × 10-618
 
0.4%
3.1 × 10-510
 
0.2%
Other values (12)36
 
0.8%
(Missing)240
 
5.5%
ValueCountFrequency (%)
0537
12.3%
1 × 10-6218
5.0%
2 × 10-6449
10.3%
3 × 10-6102
 
2.3%
4 × 10-631
 
0.7%
ValueCountFrequency (%)
9.4 × 10-51
< 0.1%
9.2 × 10-52
< 0.1%
5 × 10-51
< 0.1%
4.8 × 10-51
< 0.1%
4.7 × 10-51
< 0.1%

st_posn
Real number (ℝ≥0)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.871542857
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:20.320189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6450201568
Coefficient of variation (CV)0.3446462123
Kurtosis3.821811818
Mean1.871542857
Median Absolute Deviation (MAD)0
Skewness1.082929958
Sum8188
Variance0.4160510027
MonotonicityNot monotonic
2021-07-09T15:06:20.398116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
22972
67.9%
11059
 
24.2%
3202
 
4.6%
4135
 
3.1%
64
 
0.1%
53
 
0.1%
ValueCountFrequency (%)
11059
 
24.2%
22972
67.9%
3202
 
4.6%
4135
 
3.1%
53
 
0.1%
ValueCountFrequency (%)
64
 
0.1%
53
 
0.1%
4135
 
3.1%
3202
 
4.6%
22972
67.9%

st_dist
Real number (ℝ≥0)

Distinct2608
Distinct (%)59.7%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean638.7913104
Minimum1.3
Maximum8500
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:20.523086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile19.784
Q1137.46
median450.28
Q3856.33
95-th percentile1482
Maximum8500
Range8498.7
Interquartile range (IQR)718.87

Descriptive statistics

Standard deviation890.0131841
Coefficient of variation (CV)1.393276911
Kurtosis30.6062871
Mean638.7913104
Median Absolute Deviation (MAD)344.79
Skewness4.876050496
Sum2788324.07
Variance792123.4678
MonotonicityNot monotonic
2021-07-09T15:06:20.632442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6009
 
0.2%
7808
 
0.2%
7938
 
0.2%
3578
 
0.2%
3367
 
0.2%
3687
 
0.2%
10007
 
0.2%
4927
 
0.2%
4707
 
0.2%
12.437
 
0.2%
Other values (2598)4290
98.1%
(Missing)10
 
0.2%
ValueCountFrequency (%)
1.31
< 0.1%
2.551
< 0.1%
3.221
< 0.1%
3.292
< 0.1%
3.381
< 0.1%
ValueCountFrequency (%)
85002
< 0.1%
82001
< 0.1%
81001
< 0.1%
77201
< 0.1%
77001
< 0.1%

st_disterr1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2062
Distinct (%)48.1%
Missing88
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean77.426662
Minimum0
Maximum2180
Zeros65
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:20.757374image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q11.3
median11.66
Q361.065
95-th percentile368.1
Maximum2180
Range2180
Interquartile range (IQR)59.765

Descriptive statistics

Standard deviation191.7834299
Coefficient of variation (CV)2.476968849
Kurtosis34.47424259
Mean77.426662
Median Absolute Deviation (MAD)11.54
Skewness5.172204099
Sum331928.1
Variance36780.88397
MonotonicityNot monotonic
2021-07-09T15:06:20.885938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0179
 
1.8%
0.0275
 
1.7%
065
 
1.5%
0.0458
 
1.3%
0.0336
 
0.8%
0.0631
 
0.7%
0.0530
 
0.7%
0.128
 
0.6%
0.0727
 
0.6%
0.0820
 
0.5%
Other values (2052)3838
87.7%
(Missing)88
 
2.0%
ValueCountFrequency (%)
065
1.5%
0.0179
1.8%
0.0275
1.7%
0.0336
0.8%
0.0458
1.3%
ValueCountFrequency (%)
21801
 
< 0.1%
2067.643
0.1%
2029.11
 
< 0.1%
18701
 
< 0.1%
18001
 
< 0.1%

st_disterr2
Real number (ℝ)

MISSING
ZEROS

Distinct2034
Distinct (%)47.4%
Missing88
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean-60.22670399
Minimum-2400
Maximum0
Zeros65
Zeros (%)1.5%
Negative4222
Negative (%)96.5%
Memory size34.3 KiB
2021-07-09T15:06:21.010261image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-2400
5-th percentile-179.82
Q1-49.41
median-11.79
Q3-1.29
95-th percentile-0.02
Maximum0
Range2400
Interquartile range (IQR)48.12

Descriptive statistics

Standard deviation193.8714764
Coefficient of variation (CV)-3.219028496
Kurtosis58.30761125
Mean-60.22670399
Median Absolute Deviation (MAD)11.66
Skewness-7.185354918
Sum-258191.88
Variance37586.14935
MonotonicityNot monotonic
2021-07-09T15:06:21.399643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0277
 
1.8%
-0.0176
 
1.7%
065
 
1.5%
-0.0458
 
1.3%
-0.0337
 
0.8%
-0.0631
 
0.7%
-0.0530
 
0.7%
-0.128
 
0.6%
-0.0727
 
0.6%
-0.0820
 
0.5%
Other values (2024)3838
87.7%
(Missing)88
 
2.0%
ValueCountFrequency (%)
-24001
 
< 0.1%
-21901
 
< 0.1%
-21801
 
< 0.1%
-21002
< 0.1%
-2067.643
0.1%
ValueCountFrequency (%)
065
1.5%
-0.0176
1.7%
-0.0277
1.8%
-0.0337
0.8%
-0.0458
1.3%

st_distlim
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros4365
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:21.502958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-07-09T15:06:21.581065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
04365
99.8%
(Missing)10
 
0.2%
ValueCountFrequency (%)
04365
99.8%
ValueCountFrequency (%)
04365
99.8%

st_distn
Real number (ℝ≥0)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.714285714
Minimum0
Maximum8
Zeros10
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:21.659171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.024935693
Coefficient of variation (CV)0.3776078867
Kurtosis2.36962663
Mean2.714285714
Median Absolute Deviation (MAD)0
Skewness0.6068238286
Sum11875
Variance1.050493174
MonotonicityNot monotonic
2021-07-09T15:06:21.752899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
32375
54.3%
2909
 
20.8%
1564
 
12.9%
4324
 
7.4%
5117
 
2.7%
647
 
1.1%
727
 
0.6%
010
 
0.2%
82
 
< 0.1%
ValueCountFrequency (%)
010
 
0.2%
1564
 
12.9%
2909
 
20.8%
32375
54.3%
4324
 
7.4%
ValueCountFrequency (%)
82
 
< 0.1%
727
 
0.6%
647
 
1.1%
5117
 
2.7%
4324
7.4%

st_optmag
Real number (ℝ≥0)

MISSING

Distinct2321
Distinct (%)56.3%
Missing251
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean12.64668332
Minimum0.85
Maximum20.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:21.862256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.85
5-th percentile6.6751
Q111.2175
median13.595
Q314.8815
95-th percentile15.81
Maximum20.15
Range19.3
Interquartile range (IQR)3.664

Descriptive statistics

Standard deviation2.951930902
Coefficient of variation (CV)0.2334154203
Kurtosis0.2876627549
Mean12.64668332
Median Absolute Deviation (MAD)1.54
Skewness-1.034157043
Sum52154.922
Variance8.713896048
MonotonicityNot monotonic
2021-07-09T15:06:22.004938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.74911
 
0.3%
11.68
 
0.2%
8.058
 
0.2%
18.88
 
0.2%
13.8048
 
0.2%
14.28
 
0.2%
8.047
 
0.2%
8.237
 
0.2%
14.9157
 
0.2%
11.97
 
0.2%
Other values (2311)4045
92.5%
(Missing)251
 
5.7%
ValueCountFrequency (%)
0.851
< 0.1%
1.141
< 0.1%
1.981
< 0.1%
21
< 0.1%
2.081
< 0.1%
ValueCountFrequency (%)
20.151
 
< 0.1%
19.831
 
< 0.1%
18.88
0.2%
17.941
 
< 0.1%
17.7591
 
< 0.1%

st_optmagerr
Real number (ℝ≥0)

MISSING

Distinct134
Distinct (%)12.2%
Missing3279
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean0.04623175182
Minimum0
Maximum0.6
Zeros14
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:22.145565image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.009
Q10.012
median0.023
Q30.05
95-th percentile0.171
Maximum0.6
Range0.6
Interquartile range (IQR)0.038

Descriptive statistics

Standard deviation0.06357107363
Coefficient of variation (CV)1.375052234
Kurtosis21.7792882
Mean0.04623175182
Median Absolute Deviation (MAD)0.013
Skewness3.950399265
Sum50.67
Variance0.004041281402
MonotonicityNot monotonic
2021-07-09T15:06:22.254881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01153
 
3.5%
0.02121
 
2.8%
0.03101
 
2.3%
0.0460
 
1.4%
0.01159
 
1.3%
0.0548
 
1.1%
0.01230
 
0.7%
0.00927
 
0.6%
0.01424
 
0.5%
0.01324
 
0.5%
Other values (124)449
 
10.3%
(Missing)3279
74.9%
ValueCountFrequency (%)
014
0.3%
0.0011
 
< 0.1%
0.0023
 
0.1%
0.0044
 
0.1%
0.0055
 
0.1%
ValueCountFrequency (%)
0.62
< 0.1%
0.52
< 0.1%
0.471
 
< 0.1%
0.4221
 
< 0.1%
0.43
0.1%

st_optmaglim
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing251
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros4124
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:22.364230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-07-09T15:06:22.456321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
04124
94.3%
(Missing)251
 
5.7%
ValueCountFrequency (%)
04124
94.3%
ValueCountFrequency (%)
04124
94.3%

st_optband
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing251
Missing (%)5.7%
Memory size34.3 KiB
Kepler-band
2369 
V (Johnson)
1755 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKepler-band
2nd rowKepler-band
3rd rowKepler-band
4th rowKepler-band
5th rowKepler-band

Common Values

ValueCountFrequency (%)
Kepler-band2369
54.1%
V (Johnson)1755
40.1%
(Missing)251
 
5.7%

gaia_gmag
Real number (ℝ≥0)

MISSING

Distinct2532
Distinct (%)60.4%
Missing181
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean12.52203362
Minimum2.804
Maximum20.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:22.653383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.804
5-th percentile6.54465
Q110.979
median13.4585
Q314.82025
95-th percentile15.7934
Maximum20.48
Range17.676
Interquartile range (IQR)3.84125

Descriptive statistics

Standard deviation2.985432936
Coefficient of variation (CV)0.2384143843
Kurtosis0.1134084832
Mean12.52203362
Median Absolute Deviation (MAD)1.614
Skewness-0.980251004
Sum52517.409
Variance8.912809816
MonotonicityNot monotonic
2021-07-09T15:06:22.778353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.7411
 
0.3%
11.4789
 
0.2%
14.5459
 
0.2%
13.7068
 
0.2%
14.798
 
0.2%
15.6457
 
0.2%
15.9017
 
0.2%
15.5457
 
0.2%
13.9077
 
0.2%
12.4537
 
0.2%
Other values (2522)4114
94.0%
(Missing)181
 
4.1%
ValueCountFrequency (%)
2.8041
< 0.1%
2.8471
< 0.1%
2.9271
< 0.1%
2.9782
< 0.1%
3.0271
< 0.1%
ValueCountFrequency (%)
20.481
< 0.1%
20.1861
< 0.1%
18.9671
< 0.1%
18.9121
< 0.1%
18.7651
< 0.1%

gaia_gmagerr
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing4375
Missing (%)100.0%
Memory size34.3 KiB

gaia_gmaglim
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing181
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros4194
Zeros (%)95.9%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:22.903323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-07-09T15:06:22.981693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
04194
95.9%
(Missing)181
 
4.1%
ValueCountFrequency (%)
04194
95.9%
ValueCountFrequency (%)
04194
95.9%

st_teff
Real number (ℝ≥0)

MISSING

Distinct1714
Distinct (%)41.9%
Missing287
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean5467.10592
Minimum575
Maximum57000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:23.085014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum575
5-th percentile3722.7
Q14995
median5578.5
Q35913
95-th percentile6333.6
Maximum57000
Range56425
Interquartile range (IQR)918

Descriptive statistics

Standard deviation1734.36677
Coefficient of variation (CV)0.3172367236
Kurtosis459.1016915
Mean5467.10592
Median Absolute Deviation (MAD)422
Skewness17.89412169
Sum22349529
Variance3008028.092
MonotonicityNot monotonic
2021-07-09T15:06:23.209984image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
560021
 
0.5%
510013
 
0.3%
552612
 
0.3%
577412
 
0.3%
605012
 
0.3%
609012
 
0.3%
608011
 
0.3%
590410
 
0.2%
590010
 
0.2%
554410
 
0.2%
Other values (1704)3965
90.6%
(Missing)287
 
6.6%
ValueCountFrequency (%)
5751
 
< 0.1%
5801
 
< 0.1%
23001
 
< 0.1%
23751
 
< 0.1%
25597
0.2%
ValueCountFrequency (%)
570002
< 0.1%
400001
 
< 0.1%
293001
 
< 0.1%
277302
< 0.1%
275003
0.1%

st_tefferr1
Real number (ℝ≥0)

MISSING

Distinct288
Distinct (%)7.3%
Missing456
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean100.0548609
Minimum3
Maximum752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:23.334953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile21.9
Q158
median88
Q3120
95-th percentile200
Maximum752
Range749
Interquartile range (IQR)62

Descriptive statistics

Standard deviation66.66010408
Coefficient of variation (CV)0.6662355377
Kurtosis13.21040117
Mean100.0548609
Median Absolute Deviation (MAD)31
Skewness2.451620822
Sum392115
Variance4443.569475
MonotonicityNot monotonic
2021-07-09T15:06:23.459924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100469
 
10.7%
200280
 
6.4%
50159
 
3.6%
6082
 
1.9%
7078
 
1.8%
7569
 
1.6%
15067
 
1.5%
8055
 
1.3%
7454
 
1.2%
9052
 
1.2%
Other values (278)2554
58.4%
(Missing)456
 
10.4%
ValueCountFrequency (%)
33
0.1%
41
 
< 0.1%
52
< 0.1%
61
 
< 0.1%
74
0.1%
ValueCountFrequency (%)
7521
< 0.1%
7242
< 0.1%
7121
< 0.1%
6301
< 0.1%
6061
< 0.1%

st_tefferr2
Real number (ℝ)

MISSING

Distinct280
Distinct (%)7.2%
Missing483
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean-100.8257965
Minimum-2360
Maximum-3
Zeros0
Zeros (%)0.0%
Negative3892
Negative (%)89.0%
Memory size34.3 KiB
2021-07-09T15:06:23.581794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-2360
5-th percentile-200
Q1-125
median-88
Q3-57
95-th percentile-21
Maximum-3
Range2357
Interquartile range (IQR)68

Descriptive statistics

Standard deviation75.77598546
Coefficient of variation (CV)-0.7515535516
Kurtosis213.4755157
Mean-100.8257965
Median Absolute Deviation (MAD)33
Skewness-8.604592856
Sum-392414
Variance5741.999972
MonotonicityNot monotonic
2021-07-09T15:06:23.706764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-100460
 
10.5%
-200277
 
6.3%
-50157
 
3.6%
-6086
 
2.0%
-7076
 
1.7%
-15061
 
1.4%
-8055
 
1.3%
-7552
 
1.2%
-7450
 
1.1%
-4949
 
1.1%
Other values (270)2569
58.7%
(Missing)483
 
11.0%
ValueCountFrequency (%)
-23601
< 0.1%
-9052
< 0.1%
-8201
< 0.1%
-6901
< 0.1%
-6001
< 0.1%
ValueCountFrequency (%)
-33
0.1%
-41
 
< 0.1%
-52
< 0.1%
-61
 
< 0.1%
-74
0.1%

st_tefflim
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing247
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean0.000242248062
Minimum0
Maximum1
Zeros4127
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:23.816114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01556432016
Coefficient of variation (CV)64.24951362
Kurtosis4128
Mean0.000242248062
Median Absolute Deviation (MAD)0
Skewness64.24951362
Sum1
Variance0.000242248062
MonotonicityNot monotonic
2021-07-09T15:06:23.909882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
04127
94.3%
11
 
< 0.1%
(Missing)247
 
5.6%
ValueCountFrequency (%)
04127
94.3%
11
 
< 0.1%
ValueCountFrequency (%)
11
 
< 0.1%
04127
94.3%

st_teffn
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.493257143
Minimum0
Maximum19
Zeros121
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:24.003605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q36
95-th percentile8
Maximum19
Range19
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.032854915
Coefficient of variation (CV)0.4524234537
Kurtosis1.223690232
Mean4.493257143
Median Absolute Deviation (MAD)1
Skewness0.3870398912
Sum19658
Variance4.132499105
MonotonicityNot monotonic
2021-07-09T15:06:24.092214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
51063
24.3%
6778
17.8%
2673
15.4%
4670
15.3%
3513
11.7%
7250
 
5.7%
0121
 
2.8%
8105
 
2.4%
972
 
1.6%
154
 
1.2%
Other values (6)76
 
1.7%
ValueCountFrequency (%)
0121
 
2.8%
154
 
1.2%
2673
15.4%
3513
11.7%
4670
15.3%
ValueCountFrequency (%)
191
 
< 0.1%
151
 
< 0.1%
131
 
< 0.1%
1210
0.2%
1121
0.5%

st_mass
Real number (ℝ≥0)

MISSING

Distinct226
Distinct (%)6.3%
Missing811
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean0.9822643098
Minimum0.01
Maximum10.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:24.217220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.36
Q10.8
median0.96
Q31.12
95-th percentile1.52
Maximum10.94
Range10.93
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.513254251
Coefficient of variation (CV)0.522521531
Kurtosis152.2886166
Mean0.9822643098
Median Absolute Deviation (MAD)0.16
Skewness8.910027404
Sum3500.79
Variance0.2634299262
MonotonicityNot monotonic
2021-07-09T15:06:24.342189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9491
 
2.1%
0.9573
 
1.7%
173
 
1.7%
0.9672
 
1.6%
0.9370
 
1.6%
1.0865
 
1.5%
1.0464
 
1.5%
0.8761
 
1.4%
1.0159
 
1.3%
0.959
 
1.3%
Other values (216)2877
65.8%
(Missing)811
 
18.5%
ValueCountFrequency (%)
0.011
 
< 0.1%
0.025
0.1%
0.033
0.1%
0.042
 
< 0.1%
0.051
 
< 0.1%
ValueCountFrequency (%)
10.941
< 0.1%
10.832
< 0.1%
9.061
< 0.1%
8.761
< 0.1%
6.731
< 0.1%

st_masserr1
Real number (ℝ≥0)

MISSING
SKEWED

Distinct86
Distinct (%)2.6%
Missing1054
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean0.1134086119
Minimum0
Maximum22.96
Zeros9
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:24.467159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02
Q10.03
median0.05
Q30.09
95-th percentile0.28
Maximum22.96
Range22.96
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.6744914672
Coefficient of variation (CV)5.947444873
Kurtosis910.2827523
Mean0.1134086119
Median Absolute Deviation (MAD)0.02
Skewness28.86068279
Sum376.63
Variance0.4549387393
MonotonicityNot monotonic
2021-07-09T15:06:24.592373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.04538
12.3%
0.03430
9.8%
0.05394
 
9.0%
0.06297
 
6.8%
0.02291
 
6.7%
0.07221
 
5.1%
0.08141
 
3.2%
0.01138
 
3.2%
0.09104
 
2.4%
0.195
 
2.2%
Other values (76)672
15.4%
(Missing)1054
24.1%
ValueCountFrequency (%)
09
 
0.2%
0.01138
 
3.2%
0.02291
6.7%
0.03430
9.8%
0.04538
12.3%
ValueCountFrequency (%)
22.962
< 0.1%
16.451
< 0.1%
10.021
< 0.1%
4.211
< 0.1%
4.161
< 0.1%

st_masserr2
Real number (ℝ)

MISSING
SKEWED

Distinct84
Distinct (%)2.5%
Missing1080
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean-0.108552352
Minimum-22.96
Maximum0
Zeros9
Zeros (%)0.2%
Negative3286
Negative (%)75.1%
Memory size34.3 KiB
2021-07-09T15:06:24.706462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-22.96
5-th percentile-0.25
Q1-0.08
median-0.05
Q3-0.04
95-th percentile-0.02
Maximum0
Range22.96
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.6763563123
Coefficient of variation (CV)-6.230692376
Kurtosis908.2229195
Mean-0.108552352
Median Absolute Deviation (MAD)0.02
Skewness-28.86886796
Sum-357.68
Variance0.4574578612
MonotonicityNot monotonic
2021-07-09T15:06:24.831435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.04509
11.6%
-0.05490
11.2%
-0.03375
 
8.6%
-0.06371
 
8.5%
-0.02250
 
5.7%
-0.07242
 
5.5%
-0.08150
 
3.4%
-0.01149
 
3.4%
-0.09106
 
2.4%
-0.1100
 
2.3%
Other values (74)553
12.6%
(Missing)1080
24.7%
ValueCountFrequency (%)
-22.962
< 0.1%
-16.451
< 0.1%
-10.021
< 0.1%
-4.211
< 0.1%
-4.161
< 0.1%
ValueCountFrequency (%)
09
 
0.2%
-0.01149
 
3.4%
-0.02250
5.7%
-0.03375
8.6%
-0.04509
11.6%

st_masslim
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing765
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros3610
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:24.940785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-07-09T15:06:25.018858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
03610
82.5%
(Missing)765
 
17.5%
ValueCountFrequency (%)
03610
82.5%
ValueCountFrequency (%)
03610
82.5%

st_massn
Real number (ℝ≥0)

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.341485714
Minimum0
Maximum17
Zeros36
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:25.117238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum17
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.860216931
Coefficient of variation (CV)0.7944600811
Kurtosis5.418870298
Mean2.341485714
Median Absolute Deviation (MAD)1
Skewness2.053430824
Sum10244
Variance3.460407029
MonotonicityNot monotonic
2021-07-09T15:06:25.199965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
11805
41.3%
21283
29.3%
3451
 
10.3%
4251
 
5.7%
5208
 
4.8%
6158
 
3.6%
762
 
1.4%
860
 
1.4%
036
 
0.8%
930
 
0.7%
Other values (5)31
 
0.7%
ValueCountFrequency (%)
036
 
0.8%
11805
41.3%
21283
29.3%
3451
 
10.3%
4251
 
5.7%
ValueCountFrequency (%)
172
 
< 0.1%
131
 
< 0.1%
125
 
0.1%
117
0.2%
1016
0.4%

st_rad
Real number (ℝ≥0)

MISSING

Distinct373
Distinct (%)9.4%
Missing402
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean1.556305059
Minimum0.01
Maximum83.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:25.324935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.49
Q10.79
median0.97
Q31.25
95-th percentile2.57
Maximum83.8
Range83.79
Interquartile range (IQR)0.46

Descriptive statistics

Standard deviation3.950501471
Coefficient of variation (CV)2.538385034
Kurtosis173.248475
Mean1.556305059
Median Absolute Deviation (MAD)0.21
Skewness11.85719733
Sum6183.2
Variance15.60646187
MonotonicityNot monotonic
2021-07-09T15:06:25.449906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.968
 
1.6%
0.8968
 
1.6%
0.9467
 
1.5%
0.7964
 
1.5%
0.8461
 
1.4%
0.8660
 
1.4%
0.9659
 
1.3%
0.7858
 
1.3%
0.9357
 
1.3%
0.857
 
1.3%
Other values (363)3354
76.7%
(Missing)402
 
9.2%
ValueCountFrequency (%)
0.012
 
< 0.1%
0.041
 
< 0.1%
0.091
 
< 0.1%
0.112
 
< 0.1%
0.1210
0.2%
ValueCountFrequency (%)
83.81
< 0.1%
71.231
< 0.1%
71.022
< 0.1%
54.921
< 0.1%
51.12
< 0.1%

st_raderr1
Real number (ℝ≥0)

MISSING
SKEWED

Distinct124
Distinct (%)3.2%
Missing528
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean0.261554458
Minimum0
Maximum104.53
Zeros25
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:25.574876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.03
median0.07
Q30.22
95-th percentile0.52
Maximum104.53
Range104.53
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation2.535659682
Coefficient of variation (CV)9.694576422
Kurtosis1119.686176
Mean0.261554458
Median Absolute Deviation (MAD)0.05
Skewness31.82008959
Sum1006.2
Variance6.429570022
MonotonicityNot monotonic
2021-07-09T15:06:25.712536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02488
 
11.2%
0.03394
 
9.0%
0.01308
 
7.0%
0.04286
 
6.5%
0.05220
 
5.0%
0.06146
 
3.3%
0.07141
 
3.2%
0.197
 
2.2%
0.0885
 
1.9%
0.1283
 
1.9%
Other values (114)1599
36.5%
(Missing)528
 
12.1%
ValueCountFrequency (%)
025
 
0.6%
0.01308
7.0%
0.02488
11.2%
0.03394
9.0%
0.04286
6.5%
ValueCountFrequency (%)
104.531
< 0.1%
73.632
< 0.1%
35.821
< 0.1%
22.811
< 0.1%
18.221
< 0.1%

st_raderr2
Real number (ℝ)

MISSING
SKEWED

Distinct113
Distinct (%)3.0%
Missing553
Missing (%)12.6%
Infinite0
Infinite (%)0.0%
Mean-0.2086368394
Minimum-73.63
Maximum0
Zeros28
Zeros (%)0.6%
Negative3794
Negative (%)86.7%
Memory size34.3 KiB
2021-07-09T15:06:25.837506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-73.63
5-th percentile-0.47
Q1-0.14
median-0.06
Q3-0.03
95-th percentile-0.01
Maximum0
Range73.63
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation1.904224054
Coefficient of variation (CV)-9.126979013
Kurtosis1197.202788
Mean-0.2086368394
Median Absolute Deviation (MAD)0.04
Skewness-32.71973593
Sum-797.41
Variance3.626069248
MonotonicityNot monotonic
2021-07-09T15:06:26.304959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.02471
 
10.8%
-0.03389
 
8.9%
-0.04346
 
7.9%
-0.01304
 
6.9%
-0.05271
 
6.2%
-0.06200
 
4.6%
-0.07197
 
4.5%
-0.08133
 
3.0%
-0.1129
 
2.9%
-0.09123
 
2.8%
Other values (103)1259
28.8%
(Missing)553
12.6%
ValueCountFrequency (%)
-73.632
< 0.1%
-35.821
< 0.1%
-22.811
< 0.1%
-18.221
< 0.1%
-17.071
< 0.1%
ValueCountFrequency (%)
028
 
0.6%
-0.01304
6.9%
-0.02471
10.8%
-0.03389
8.9%
-0.04346
7.9%

st_radlim
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED
ZEROS

Distinct1
Distinct (%)< 0.1%
Missing359
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros4016
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:26.414340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2021-07-09T15:06:26.492449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
04016
91.8%
(Missing)359
 
8.2%
ValueCountFrequency (%)
04016
91.8%
ValueCountFrequency (%)
04016
91.8%

st_radn
Real number (ℝ≥0)

ZEROS

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.295542857
Minimum0
Maximum21
Zeros157
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:26.586180image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q36
95-th percentile8
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.17284984
Coefficient of variation (CV)0.5058382402
Kurtosis1.161444557
Mean4.295542857
Median Absolute Deviation (MAD)2
Skewness0.4457547282
Sum18793
Variance4.721276426
MonotonicityNot monotonic
2021-07-09T15:06:26.692678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
51030
23.5%
2717
16.4%
4654
14.9%
6604
13.8%
3490
11.2%
7248
 
5.7%
1190
 
4.3%
0157
 
3.6%
8132
 
3.0%
977
 
1.8%
Other values (6)76
 
1.7%
ValueCountFrequency (%)
0157
 
3.6%
1190
 
4.3%
2717
16.4%
3490
11.2%
4654
14.9%
ValueCountFrequency (%)
211
 
< 0.1%
151
 
< 0.1%
134
 
0.1%
128
 
0.2%
1120
0.5%

pl_nnotes
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6130285714
Minimum0
Maximum4
Zeros1800
Zeros (%)41.1%
Negative0
Negative (%)0.0%
Memory size34.3 KiB
2021-07-09T15:06:26.790706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5409304106
Coefficient of variation (CV)0.8823902111
Kurtosis0.06567350424
Mean0.6130285714
Median Absolute Deviation (MAD)0
Skewness0.2056744842
Sum2682
Variance0.2926057091
MonotonicityNot monotonic
2021-07-09T15:06:26.868816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
12480
56.7%
01800
41.1%
285
 
1.9%
38
 
0.2%
42
 
< 0.1%
ValueCountFrequency (%)
01800
41.1%
12480
56.7%
285
 
1.9%
38
 
0.2%
42
 
< 0.1%
ValueCountFrequency (%)
42
 
< 0.1%
38
 
0.2%
285
 
1.9%
12480
56.7%
01800
41.1%

rowupdate
Categorical

HIGH CARDINALITY

Distinct217
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
5/10/2016
1278 
5/14/2014
1040 
9/6/2018
 
147
4/26/2018
 
97
10/26/2018
 
89
Other values (212)
1724 

Unique

Unique28 ?
Unique (%)0.6%

Sample

1st row9/15/2016
2nd row9/15/2016
3rd row5/14/2014
4th row5/14/2014
5th row5/14/2014

Common Values

ValueCountFrequency (%)
5/10/20161278
29.2%
5/14/20141040
23.8%
9/6/2018147
 
3.4%
4/26/201897
 
2.2%
10/26/201889
 
2.0%
9/3/202066
 
1.5%
12/6/201866
 
1.5%
2/15/201853
 
1.2%
7/12/201844
 
1.0%
7/18/201643
 
1.0%
Other values (207)1452
33.2%

pl_facility
Categorical

HIGH CARDINALITY

Distinct62
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size34.3 KiB
Kepler
2394 
K2
426 
La Silla Observatory
247 
W. M. Keck Observatory
 
177
Multiple Observatories
 
159
Other values (57)
972 

Unique

Unique12 ?
Unique (%)0.3%

Sample

1st rowKepler
2nd rowKepler
3rd rowKepler
4th rowKepler
5th rowKepler

Common Values

ValueCountFrequency (%)
Kepler2394
54.7%
K2426
 
9.7%
La Silla Observatory247
 
5.6%
W. M. Keck Observatory177
 
4.0%
Multiple Observatories159
 
3.6%
Transiting Exoplanet Survey Satellite (TESS)122
 
2.8%
SuperWASP113
 
2.6%
HATSouth69
 
1.6%
OGLE69
 
1.6%
HATNet60
 
1.4%
Other values (52)539
 
12.3%

Correlations

2021-07-09T15:06:27.373574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Missing values

2021-07-09T15:06:01.557873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
A simple visualization of nullity by column.