Early Stage Diabetes Prediction (By Chistio.ir)

Dataset statistics

Number of variables	17
Number of observations	520
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	269
Duplicate rows (%)	51.7%
Total size in memory	490.8 KiB
Average record size in memory	966.6 B

Variable types

BOOL	14
CAT	2
NUM	1

Warnings

Dataset has 269 (51.7%) duplicate rows

Duplicates

Reproduction

Analysis started	2020-10-06 21:50:53.252642
Analysis finished	2020-10-06 21:50:56.751784
Duration	3.5 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

Age
Real number (ℝ_≥0)

Distinct	51
Distinct (%)	9.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	48.02884615
Minimum	16
Maximum	90
Zeros	0
Zeros (%)	0.0%
Memory size	4.2 KiB

Quantile statistics

Minimum	16
5-th percentile	30
Q1	39
median	47.5
Q3	57
95-th percentile	68
Maximum	90
Range	74
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	12.151466
Coefficient of variation (CV)	0.2530034962
Kurtosis	-0.1917094141
Mean	48.02884615
Median Absolute Deviation (MAD)	9
Skewness	0.3293593578
Sum	24975
Variance	147.6581258
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	30	5.8%
48	28	5.4%
30	25	4.8%
43	25	4.8%
40	24	4.6%
55	22	4.2%
47	21	4.0%
38	20	3.8%
53	20	3.8%
58	18	3.5%
45	18	3.5%
50	18	3.5%
39	16	3.1%
54	16	3.1%
57	15	2.9%
60	15	2.9%
68	10	1.9%
66	9	1.7%
28	9	1.7%
42	9	1.7%
72	9	1.7%
56	8	1.5%
36	8	1.5%
46	8	1.5%
61	8	1.5%
Other values (26)	111	21.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
16	1	0.2%
25	2	0.4%
26	1	0.2%
27	6	1.2%
28	9	1.7%
29	1	0.2%
30	25	4.8%
31	3	0.6%
32	5	1.0%
33	4	0.8%

Value	Count	Frequency (%)
90	2	0.4%
85	2	0.4%
79	1	0.2%
72	9	1.7%
70	5	1.0%
69	5	1.0%
68	10	1.9%
67	8	1.5%
66	9	1.7%
65	6	1.2%

Gender
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

Male	328
Female	192

Value	Count	Frequency (%)
Male	328	63.1%
Female	192	36.9%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	6
Median length	4
Mean length	4.738461538
Min length	4

Overview of Unicode Properties

Unique unicode characters	6
Unique unicode categories	2 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

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

Most occurring characters

Value	Count	Frequency (%)
e	712	28.9%
a	520	21.1%
l	520	21.1%
M	328	13.3%
F	192	7.8%
m	192	7.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1944	78.9%
Uppercase Letter	520	21.1%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
M	328	63.1%
F	192	36.9%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
e	712	36.6%
a	520	26.7%
l	520	26.7%
m	192	9.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2464	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
e	712	28.9%
a	520	21.1%
l	520	21.1%
M	328	13.3%
F	192	7.8%
m	192	7.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2464	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
e	712	28.9%
a	520	21.1%
l	520	21.1%
M	328	13.3%
F	192	7.8%
m	192	7.8%

Polyuria
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	262
Yes	258

Common Values
Chart

Value	Count	Frequency (%)
No	262	50.4%
Yes	258	49.6%

Polydipsia
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	287
Yes	233

Common Values
Chart

Value	Count	Frequency (%)
No	287	55.2%
Yes	233	44.8%

SuddenWeightLoss
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	303
Yes	217

Common Values
Chart

Value	Count	Frequency (%)
No	303	58.3%
Yes	217	41.7%

Weakness
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

Yes	305
No	215

Common Values
Chart

Value	Count	Frequency (%)
Yes	305	58.7%
No	215	41.3%

Polyphagia
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	283
Yes	237

Common Values
Chart

Value	Count	Frequency (%)
No	283	54.4%
Yes	237	45.6%

GenitalThrush
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	404
Yes	116

Common Values
Chart

Value	Count	Frequency (%)
No	404	77.7%
Yes	116	22.3%

VisualBlurring
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	287
Yes	233

Common Values
Chart

Value	Count	Frequency (%)
No	287	55.2%
Yes	233	44.8%

Itching
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	267
Yes	253

Common Values
Chart

Value	Count	Frequency (%)
No	267	51.3%
Yes	253	48.7%

Irritability
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	394
Yes	126

Common Values
Chart

Value	Count	Frequency (%)
No	394	75.8%
Yes	126	24.2%

DelayedHealing
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	281
Yes	239

Common Values
Chart

Value	Count	Frequency (%)
No	281	54.0%
Yes	239	46.0%

PartialParesis
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	296
Yes	224

Common Values
Chart

Value	Count	Frequency (%)
No	296	56.9%
Yes	224	43.1%

MuscleStiffness
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	325
Yes	195

Common Values
Chart

Value	Count	Frequency (%)
No	325	62.5%
Yes	195	37.5%

Alopecia
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	341
Yes	179

Common Values
Chart

Value	Count	Frequency (%)
No	341	65.6%
Yes	179	34.4%

Obesity
Boolean

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

No	432
Yes	88

Common Values
Chart

Value	Count	Frequency (%)
No	432	83.1%
Yes	88	16.9%

Class
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	4.2 KiB

Positive	320
Negative	200

Value	Count	Frequency (%)
Positive	320	61.5%
Negative	200	38.5%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Overview of Unicode Properties

Unique unicode characters	10
Unique unicode categories	2 ?
Unique unicode scripts	1 ?
Unique unicode blocks	1 ?

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

Most occurring characters

Value	Count	Frequency (%)
i	840	20.2%
e	720	17.3%
t	520	12.5%
v	520	12.5%
P	320	7.7%
o	320	7.7%
s	320	7.7%
N	200	4.8%
g	200	4.8%
a	200	4.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3640	87.5%
Uppercase Letter	520	12.5%

Most frequent Uppercase Letter characters

Value	Count	Frequency (%)
P	320	61.5%
N	200	38.5%

Most frequent Lowercase Letter characters

Value	Count	Frequency (%)
i	840	23.1%
e	720	19.8%
t	520	14.3%
v	520	14.3%
o	320	8.8%
s	320	8.8%
g	200	5.5%
a	200	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4160	100.0%

Most frequent Latin characters

Value	Count	Frequency (%)
i	840	20.2%
e	720	17.3%
t	520	12.5%
v	520	12.5%
P	320	7.7%
o	320	7.7%
s	320	7.7%
N	200	4.8%
g	200	4.8%
a	200	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4160	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
i	840	20.2%
e	720	17.3%
t	520	12.5%
v	520	12.5%
P	320	7.7%
o	320	7.7%
s	320	7.7%
N	200	4.8%
g	200	4.8%
a	200	4.8%

Age

Age

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.

Count
Matrix

First rows

	Age	Gender	Polyuria	Polydipsia	SuddenWeightLoss	Weakness	Polyphagia	GenitalThrush	VisualBlurring	Itching	Irritability	DelayedHealing	PartialParesis	MuscleStiffness	Alopecia	Obesity	Class
0	40	Male	No	Yes	No	Yes	No	No	No	Yes	No	Yes	No	Yes	Yes	Yes	Positive
1	58	Male	No	No	No	Yes	No	No	Yes	No	No	No	Yes	No	Yes	No	Positive
2	41	Male	Yes	No	No	Yes	Yes	No	No	Yes	No	Yes	No	Yes	Yes	No	Positive
3	45	Male	No	No	Yes	Yes	Yes	Yes	No	Yes	No	Yes	No	No	No	No	Positive
4	60	Male	Yes	Yes	Yes	Yes	Yes	No	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Positive
5	55	Male	Yes	Yes	No	Yes	Yes	No	Yes	Yes	No	Yes	No	Yes	Yes	Yes	Positive
6	57	Male	Yes	Yes	No	Yes	Yes	Yes	No	No	No	Yes	Yes	No	No	No	Positive
7	66	Male	Yes	Yes	Yes	Yes	No	No	Yes	Yes	Yes	No	Yes	Yes	No	No	Positive
8	67	Male	Yes	Yes	No	Yes	Yes	Yes	No	Yes	Yes	No	Yes	Yes	No	Yes	Positive
9	70	Male	No	Yes	Yes	Yes	Yes	No	Yes	Yes	Yes	No	No	No	Yes	No	Positive

Last rows

	Age	Gender	Polyuria	Polydipsia	SuddenWeightLoss	Weakness	Polyphagia	GenitalThrush	VisualBlurring	Itching	Irritability	DelayedHealing	PartialParesis	MuscleStiffness	Alopecia	Obesity	Class
510	67	Male	No	No	No	Yes	No	No	No	Yes	No	Yes	No	No	Yes	No	Negative
511	66	Male	No	No	No	Yes	Yes	No	Yes	Yes	No	Yes	Yes	Yes	Yes	No	Negative
512	43	Male	No	No	No	No	No	No	No	No	No	No	No	No	Yes	No	Negative
513	62	Female	Yes	Yes	Yes	Yes	No	No	Yes	No	No	No	Yes	No	No	Yes	Positive
514	54	Female	Yes	Yes	Yes	Yes	Yes	No	No	No	No	No	Yes	No	No	No	Positive
515	39	Female	Yes	Yes	Yes	No	Yes	No	No	Yes	No	Yes	Yes	No	No	No	Positive
516	48	Female	Yes	Yes	Yes	Yes	Yes	No	No	Yes	Yes	Yes	Yes	No	No	No	Positive
517	58	Female	Yes	Yes	Yes	Yes	Yes	No	Yes	No	No	No	Yes	Yes	No	Yes	Positive
518	32	Female	No	No	No	Yes	No	No	Yes	Yes	No	Yes	No	No	Yes	No	Negative
519	42	Male	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Negative

Most frequent

	Age	Gender	Polyuria	Polydipsia	SuddenWeightLoss	Weakness	Polyphagia	GenitalThrush	VisualBlurring	Itching	Irritability	DelayedHealing	PartialParesis	MuscleStiffness	Alopecia	Obesity	Class	count
4	30	Male	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Negative	16
20	38	Male	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Negative	7
42	46	Male	No	No	No	Yes	No	No	No	Yes	No	Yes	No	No	Yes	No	Negative	7
65	53	Male	No	No	No	Yes	Yes	No	Yes	Yes	No	Yes	Yes	Yes	Yes	No	Negative	7
0	27	Male	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Negative	6
24	39	Female	Yes	Yes	Yes	Yes	Yes	No	No	Yes	Yes	Yes	Yes	No	No	No	Positive	6
29	40	Male	No	No	Yes	No	No	No	No	No	No	No	No	No	No	Yes	Negative	6
34	43	Female	Yes	Yes	Yes	Yes	Yes	No	Yes	No	No	No	Yes	Yes	No	Yes	Positive	6
36	43	Male	No	No	No	Yes	No	Yes	No	Yes	No	Yes	No	No	Yes	No	Negative	6
41	45	Male	No	No	No	No	Yes	Yes	No	No	No	No	No	No	No	No	Negative	6

نمای کلی (مجموعه داده‌ی تشخیص دیابت در مراحل اولیه)

متغیرها (ابعاد مسئله)

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Uppercase Letter characters

Most frequent Lowercase Letter characters

Most occurring scripts

Most frequent Latin characters

Most occurring blocks

Most frequent ASCII characters

اثر متقابل داده‌ها

همبستگی‌ها

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

مقادیر گم‌شده

نمونه‌ی داده‌ها

First rows

Last rows

سطرهای تکراری

Most frequent