Pandas Profiling Report

Dataset statistics

Number of variables	12
Number of observations	5110
Missing cells	201
Missing cells (%)	0.3%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.7 MiB
Average record size in memory	351.2 B

Variable types

Numeric	4
Categorical	4
Boolean	4

Warnings

`smoking_status` is highly correlated with `ever_married` and 1 other fields	High correlation
`ever_married` is highly correlated with `smoking_status` and 1 other fields	High correlation
`age` is highly correlated with `smoking_status` and 2 other fields	High correlation
`work_type` is highly correlated with `age` and 1 other fields	High correlation
`bmi` is highly correlated with `work_type`	High correlation
`ever_married` is highly correlated with `work_type`	High correlation
`work_type` is highly correlated with `ever_married`	High correlation
`bmi` has 201 (3.9%) missing values	Missing
`id` has unique values	Unique

Reproduction

Analysis started	2021-06-20 04:22:52.364750
Analysis finished	2021-06-20 04:23:04.903754
Duration	12.54 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

id
Real number (ℝ_≥0)

UNIQUE

Distinct	5110
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	36517.82935

Minimum	67
Maximum	72940
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	40.0 KiB

Quantile statistics

Minimum	67
5-th percentile	3590.45
Q1	17741.25
median	36932
Q3	54682
95-th percentile	69217.95
Maximum	72940
Range	72873
Interquartile range (IQR)	36940.75

Descriptive statistics

Standard deviation	21161.72162
Coefficient of variation (CV)	0.5794901285
Kurtosis	-1.21236752
Mean	36517.82935
Median Absolute Deviation (MAD)	18490
Skewness	-0.01991297919
Sum	186606108
Variance	447818462.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16380	1	< 0.1%
58061	1	< 0.1%
69918	1	< 0.1%
23238	1	< 0.1%
4807	1	< 0.1%
60104	1	< 0.1%
41673	1	< 0.1%
64202	1	< 0.1%
51916	1	< 0.1%
72398	1	< 0.1%
Other values (5100)	5100	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
67	1	< 0.1%
77	1	< 0.1%
84	1	< 0.1%
91	1	< 0.1%
99	1	< 0.1%
121	1	< 0.1%
129	1	< 0.1%
132	1	< 0.1%
156	1	< 0.1%
163	1	< 0.1%

Value	Count	Frequency (%)
72940	1	< 0.1%
72918	1	< 0.1%
72915	1	< 0.1%
72914	1	< 0.1%
72911	1	< 0.1%
72882	1	< 0.1%
72867	1	< 0.1%
72861	1	< 0.1%
72836	1	< 0.1%
72824	1	< 0.1%

gender
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	310.4 KiB

Female	2994
Male	2115
Other	1

Length

Max length	6
Median length	6
Mean length	5.172015656
Min length	4

Characters and Unicode

Total characters	26429
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Male
2nd row	Female
3rd row	Male
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	2994	58.6%
Male	2115	41.4%
Other	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
female	2994	58.6%
male	2115	41.4%
other	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	8104	30.7%
a	5109	19.3%
l	5109	19.3%
F	2994	11.3%
m	2994	11.3%
M	2115	8.0%
O	1	< 0.1%
t	1	< 0.1%
h	1	< 0.1%
r	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21319	80.7%
Uppercase Letter	5110	19.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8104	38.0%
a	5109	24.0%
l	5109	24.0%
m	2994	14.0%
t	1	< 0.1%
h	1	< 0.1%
r	1	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
F	2994	58.6%
M	2115	41.4%
O	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26429	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8104	30.7%
a	5109	19.3%
l	5109	19.3%
F	2994	11.3%
m	2994	11.3%
M	2115	8.0%
O	1	< 0.1%
t	1	< 0.1%
h	1	< 0.1%
r	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26429	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8104	30.7%
a	5109	19.3%
l	5109	19.3%
F	2994	11.3%
m	2994	11.3%
M	2115	8.0%
O	1	< 0.1%
t	1	< 0.1%
h	1	< 0.1%
r	1	< 0.1%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	104
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.22661448

Minimum	0.08
Maximum	82
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	40.0 KiB

Quantile statistics

Minimum	0.08
5-th percentile	5
Q1	25
median	45
Q3	61
95-th percentile	79
Maximum	82
Range	81.92
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	22.61264672
Coefficient of variation (CV)	0.5231186156
Kurtosis	-0.9910102432
Mean	43.22661448
Median Absolute Deviation (MAD)	18
Skewness	-0.1370593226
Sum	220888
Variance	511.3317918
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
78	102	2.0%
57	95	1.9%
52	90	1.8%
54	87	1.7%
51	86	1.7%
79	85	1.7%
53	85	1.7%
45	85	1.7%
50	83	1.6%
55	83	1.6%
Other values (94)	4229	82.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.08	2	< 0.1%
0.16	3	0.1%
0.24	5	0.1%
0.32	5	0.1%
0.4	2	< 0.1%
0.48	3	0.1%
0.56	5	0.1%
0.64	4	0.1%
0.72	5	0.1%
0.8	4	0.1%

Value	Count	Frequency (%)
82	56	1.1%
81	60	1.2%
80	70	1.4%
79	85	1.7%
78	102	2.0%
77	42	0.8%
76	50	1.0%
75	53	1.0%
74	40	0.8%
73	46	0.9%

hypertension
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.1 KiB

False	4612
True	498

Common Values
Chart

Value	Count	Frequency (%)
False	4612	90.3%
True	498	9.7%

heart_disease
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.1 KiB

False	4834
True	276

Common Values
Chart

Value	Count	Frequency (%)
False	4834	94.6%
True	276	5.4%

ever_married
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.1 KiB

True	3353
False	1757

Common Values
Chart

Value	Count	Frequency (%)
True	3353	65.6%
False	1757	34.4%

work_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	325.7 KiB

Private	2925
Self-employed	819
children	687
Govt_job	657
Never_worked	22

Length

Max length	13
Median length	7
Mean length	8.246183953
Min length	7

Characters and Unicode

Total characters	42138
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Private
2nd row	Self-employed
3rd row	Private
4th row	Private
5th row	Self-employed

Common Values

Value	Count	Frequency (%)
Private	2925	57.2%
Self-employed	819	16.0%
children	687	13.4%
Govt_job	657	12.9%
Never_worked	22	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
private	2925	57.2%
self-employed	819	16.0%
children	687	13.4%
govt_job	657	12.9%
never_worked	22	0.4%

Most occurring characters

Value	Count	Frequency (%)
e	6135	14.6%
r	3656	8.7%
i	3612	8.6%
v	3604	8.6%
t	3582	8.5%
P	2925	6.9%
a	2925	6.9%
l	2325	5.5%
o	2155	5.1%
d	1528	3.6%
Other values (16)	9691	23.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	36217	85.9%
Uppercase Letter	4423	10.5%
Dash Punctuation	819	1.9%
Connector Punctuation	679	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6135	16.9%
r	3656	10.1%
i	3612	10.0%
v	3604	10.0%
t	3582	9.9%
a	2925	8.1%
l	2325	6.4%
o	2155	6.0%
d	1528	4.2%
f	819	2.3%
Other values (10)	5876	16.2%

Uppercase Letter

Value	Count	Frequency (%)
P	2925	66.1%
S	819	18.5%
G	657	14.9%
N	22	0.5%

Dash Punctuation

Value	Count	Frequency (%)
-	819	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	679	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	40640	96.4%
Common	1498	3.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6135	15.1%
r	3656	9.0%
i	3612	8.9%
v	3604	8.9%
t	3582	8.8%
P	2925	7.2%
a	2925	7.2%
l	2325	5.7%
o	2155	5.3%
d	1528	3.8%
Other values (14)	8193	20.2%

Common

Value	Count	Frequency (%)
-	819	54.7%
_	679	45.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	42138	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6135	14.6%
r	3656	8.7%
i	3612	8.6%
v	3604	8.6%
t	3582	8.5%
P	2925	6.9%
a	2925	6.9%
l	2325	5.5%
o	2155	5.1%
d	1528	3.6%
Other values (16)	9691	23.0%

Residence_type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	309.5 KiB

Urban	2596
Rural	2514

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	25550
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Urban
2nd row	Rural
3rd row	Rural
4th row	Urban
5th row	Rural

Common Values

Value	Count	Frequency (%)
Urban	2596	50.8%
Rural	2514	49.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
urban	2596	50.8%
rural	2514	49.2%

Most occurring characters

Value	Count	Frequency (%)
r	5110	20.0%
a	5110	20.0%
U	2596	10.2%
b	2596	10.2%
n	2596	10.2%
R	2514	9.8%
u	2514	9.8%
l	2514	9.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20440	80.0%
Uppercase Letter	5110	20.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	5110	25.0%
a	5110	25.0%
b	2596	12.7%
n	2596	12.7%
u	2514	12.3%
l	2514	12.3%

Uppercase Letter

Value	Count	Frequency (%)
U	2596	50.8%
R	2514	49.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	25550	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	5110	20.0%
a	5110	20.0%
U	2596	10.2%
b	2596	10.2%
n	2596	10.2%
R	2514	9.8%
u	2514	9.8%
l	2514	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	25550	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	5110	20.0%
a	5110	20.0%
U	2596	10.2%
b	2596	10.2%
n	2596	10.2%
R	2514	9.8%
u	2514	9.8%
l	2514	9.8%

avg_glucose_level
Real number (ℝ_≥0)

Distinct	3979
Distinct (%)	77.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	106.1476771

Minimum	55.12
Maximum	271.74
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	40.0 KiB

Quantile statistics

Minimum	55.12
5-th percentile	60.7135
Q1	77.245
median	91.885
Q3	114.09
95-th percentile	216.2945
Maximum	271.74
Range	216.62
Interquartile range (IQR)	36.845

Descriptive statistics

Standard deviation	45.28356015
Coefficient of variation (CV)	0.4266090543
Kurtosis	1.68047854
Mean	106.1476771
Median Absolute Deviation (MAD)	17.58
Skewness	1.572283867
Sum	542414.63
Variance	2050.60082
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
93.88	6	0.1%
83.16	5	0.1%
91.85	5	0.1%
91.68	5	0.1%
73	5	0.1%
84.1	5	0.1%
72.49	5	0.1%
84.4	4	0.1%
71.06	4	0.1%
84.86	4	0.1%
Other values (3969)	5062	99.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
55.12	1	< 0.1%
55.22	1	< 0.1%
55.23	1	< 0.1%
55.25	1	< 0.1%
55.26	1	< 0.1%
55.27	1	< 0.1%
55.28	1	< 0.1%
55.32	1	< 0.1%
55.34	2	< 0.1%
55.35	1	< 0.1%

Value	Count	Frequency (%)
271.74	1	< 0.1%
267.76	1	< 0.1%
267.61	1	< 0.1%
267.6	1	< 0.1%
266.59	1	< 0.1%
263.56	1	< 0.1%
263.32	1	< 0.1%
261.67	1	< 0.1%
260.85	1	< 0.1%
259.63	1	< 0.1%

bmi
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	418
Distinct (%)	8.5%
Missing	201
Missing (%)	3.9%
Infinite	0
Infinite (%)	0.0%
Mean	28.89323691

Minimum	10.3
Maximum	97.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	40.0 KiB

Quantile statistics

Minimum	10.3
5-th percentile	17.64
Q1	23.5
median	28.1
Q3	33.1
95-th percentile	42.96
Maximum	97.6
Range	87.3
Interquartile range (IQR)	9.6

Descriptive statistics

Standard deviation	7.85406673
Coefficient of variation (CV)	0.2718306278
Kurtosis	3.362659166
Mean	28.89323691
Median Absolute Deviation (MAD)	4.7
Skewness	1.055340205
Sum	141836.9
Variance	61.68636419
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28.7	41	0.8%
28.4	38	0.7%
27.6	37	0.7%
26.7	37	0.7%
27.7	37	0.7%
26.1	37	0.7%
23.4	36	0.7%
27.3	36	0.7%
27	35	0.7%
26.9	34	0.7%
Other values (408)	4541	88.9%
(Missing)	201	3.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10.3	1	< 0.1%
11.3	1	< 0.1%
11.5	1	< 0.1%
12	1	< 0.1%
12.3	1	< 0.1%
12.8	1	< 0.1%
13	1	< 0.1%
13.2	1	< 0.1%
13.3	1	< 0.1%
13.4	1	< 0.1%

Value	Count	Frequency (%)
97.6	1	< 0.1%
92	1	< 0.1%
78	1	< 0.1%
71.9	1	< 0.1%
66.8	1	< 0.1%
64.8	1	< 0.1%
64.4	1	< 0.1%
63.3	1	< 0.1%
61.6	1	< 0.1%
61.2	1	< 0.1%

smoking_status
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	334.9 KiB

never smoked	1892
Unknown	1544
formerly smoked	885
smokes	789

Length

Max length	15
Median length	12
Mean length	10.08238748
Min length	6

Characters and Unicode

Total characters	51521
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	formerly smoked
2nd row	never smoked
3rd row	never smoked
4th row	smokes
5th row	never smoked

Common Values

Value	Count	Frequency (%)
never smoked	1892	37.0%
Unknown	1544	30.2%
formerly smoked	885	17.3%
smokes	789	15.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
smoked	2777	35.2%
never	1892	24.0%
unknown	1544	19.6%
formerly	885	11.2%
smokes	789	10.0%

Most occurring characters

Value	Count	Frequency (%)
e	8235	16.0%
n	6524	12.7%
o	5995	11.6%
k	5110	9.9%
m	4451	8.6%
s	4355	8.5%
r	3662	7.1%
	2777	5.4%
d	2777	5.4%
v	1892	3.7%
Other values (5)	5743	11.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	47200	91.6%
Space Separator	2777	5.4%
Uppercase Letter	1544	3.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8235	17.4%
n	6524	13.8%
o	5995	12.7%
k	5110	10.8%
m	4451	9.4%
s	4355	9.2%
r	3662	7.8%
d	2777	5.9%
v	1892	4.0%
w	1544	3.3%
Other values (3)	2655	5.6%

Space Separator

Value	Count	Frequency (%)
	2777	100.0%

Uppercase Letter

Value	Count	Frequency (%)
U	1544	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	48744	94.6%
Common	2777	5.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8235	16.9%
n	6524	13.4%
o	5995	12.3%
k	5110	10.5%
m	4451	9.1%
s	4355	8.9%
r	3662	7.5%
d	2777	5.7%
v	1892	3.9%
U	1544	3.2%
Other values (4)	4199	8.6%

Common

Value	Count	Frequency (%)
	2777	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51521	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8235	16.0%
n	6524	12.7%
o	5995	11.6%
k	5110	9.9%
m	4451	8.6%
s	4355	8.5%
r	3662	7.1%
	2777	5.4%
d	2777	5.4%
v	1892	3.7%
Other values (5)	5743	11.1%

stroke
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.1 KiB

False	4861
True	249

Common Values
Chart

Value	Count	Frequency (%)
False	4861	95.1%
True	249	4.9%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

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

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.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	gender	age	hypertension	heart_disease	ever_married	work_type	Residence_type	avg_glucose_level	bmi	smoking_status	stroke
0	9046	Male	67.0	False	True	Yes	Private	Urban	228.69	36.6	formerly smoked	True
1	51676	Female	61.0	False	False	Yes	Self-employed	Rural	202.21	NaN	never smoked	True
2	31112	Male	80.0	False	True	Yes	Private	Rural	105.92	32.5	never smoked	True
3	60182	Female	49.0	False	False	Yes	Private	Urban	171.23	34.4	smokes	True
4	1665	Female	79.0	True	False	Yes	Self-employed	Rural	174.12	24.0	never smoked	True
5	56669	Male	81.0	False	False	Yes	Private	Urban	186.21	29.0	formerly smoked	True
6	53882	Male	74.0	True	True	Yes	Private	Rural	70.09	27.4	never smoked	True
7	10434	Female	69.0	False	False	No	Private	Urban	94.39	22.8	never smoked	True
8	27419	Female	59.0	False	False	Yes	Private	Rural	76.15	NaN	Unknown	True
9	60491	Female	78.0	False	False	Yes	Private	Urban	58.57	24.2	Unknown	True

Last rows

	id	gender	age	hypertension	heart_disease	ever_married	work_type	Residence_type	avg_glucose_level	bmi	smoking_status	stroke
5100	68398	Male	82.0	True	False	Yes	Self-employed	Rural	71.97	28.3	never smoked	False
5101	36901	Female	45.0	False	False	Yes	Private	Urban	97.95	24.5	Unknown	False
5102	45010	Female	57.0	False	False	Yes	Private	Rural	77.93	21.7	never smoked	False
5103	22127	Female	18.0	False	False	No	Private	Urban	82.85	46.9	Unknown	False
5104	14180	Female	13.0	False	False	No	children	Rural	103.08	18.6	Unknown	False
5105	18234	Female	80.0	True	False	Yes	Private	Urban	83.75	NaN	never smoked	False
5106	44873	Female	81.0	False	False	Yes	Self-employed	Urban	125.20	40.0	never smoked	False
5107	19723	Female	35.0	False	False	Yes	Self-employed	Rural	82.99	30.6	never smoked	False
5108	37544	Male	51.0	False	False	Yes	Private	Rural	166.29	25.6	formerly smoked	False
5109	44679	Female	44.0	False	False	Yes	Govt_job	Urban	85.28	26.2	Unknown	False

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Dash Punctuation

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows