Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	1025
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	302
Duplicate rows (%)	29.5%
Total size in memory	69.2 KiB
Average record size in memory	69.1 B

Variable types

Numeric	5
Categorical	15

Alerts

Dataset has 302 (29.5%) duplicate rows	Duplicates
`chest_pain_type_non-anginal pain` is highly correlated with `chest_pain_type_typical angina`	High correlation
`chest_pain_type_typical angina` is highly correlated with `chest_pain_type_non-anginal pain` and 1 other fields	High correlation
`thalassemia_normal` is highly correlated with `thalassemia_reversable defect` and 1 other fields	High correlation
`thalassemia_reversable defect` is highly correlated with `thalassemia_normal`	High correlation
`diagnosis` is highly correlated with `chest_pain_type_typical angina` and 1 other fields	High correlation
`chest_pain_type_non-anginal pain` is highly correlated with `chest_pain_type_typical angina`	High correlation
`chest_pain_type_typical angina` is highly correlated with `chest_pain_type_non-anginal pain` and 1 other fields	High correlation
`thalassemia_normal` is highly correlated with `thalassemia_reversable defect` and 1 other fields	High correlation
`thalassemia_reversable defect` is highly correlated with `thalassemia_normal`	High correlation
`diagnosis` is highly correlated with `chest_pain_type_typical angina` and 1 other fields	High correlation
`chest_pain_type_non-anginal pain` is highly correlated with `chest_pain_type_typical angina`	High correlation
`chest_pain_type_typical angina` is highly correlated with `chest_pain_type_non-anginal pain` and 1 other fields	High correlation
`thalassemia_normal` is highly correlated with `thalassemia_reversable defect` and 1 other fields	High correlation
`thalassemia_reversable defect` is highly correlated with `thalassemia_normal`	High correlation
`diagnosis` is highly correlated with `chest_pain_type_typical angina` and 1 other fields	High correlation
`thalassemia_normal` is highly correlated with `thalassemia_reversable defect` and 1 other fields	High correlation
`chest_pain_type_typical angina` is highly correlated with `chest_pain_type_non-anginal pain` and 1 other fields	High correlation
`thalassemia_reversable defect` is highly correlated with `thalassemia_normal`	High correlation
`chest_pain_type_non-anginal pain` is highly correlated with `chest_pain_type_typical angina`	High correlation
`diagnosis` is highly correlated with `thalassemia_normal` and 1 other fields	High correlation
`age` is highly correlated with `max_heart_rate_achieved` and 1 other fields	High correlation
`max_heart_rate_achieved` is highly correlated with `age` and 4 other fields	High correlation
`st_depression` is highly correlated with `rest_ecg_left ventricular hypertrophy`	High correlation
`num_major_vessels` is highly correlated with `age`	High correlation
`sex_male` is highly correlated with `thalassemia_normal`	High correlation
`chest_pain_type_atypical angina` is highly correlated with `chest_pain_type_typical angina`	High correlation
`chest_pain_type_non-anginal pain` is highly correlated with `chest_pain_type_typical angina`	High correlation
`chest_pain_type_typical angina` is highly correlated with `max_heart_rate_achieved` and 5 other fields	High correlation
`rest_ecg_left ventricular hypertrophy` is highly correlated with `st_depression`	High correlation
`exercise_induced_angina_yes` is highly correlated with `max_heart_rate_achieved` and 2 other fields	High correlation
`st_slope_flat` is highly correlated with `max_heart_rate_achieved` and 1 other fields	High correlation
`thalassemia_normal` is highly correlated with `sex_male` and 3 other fields	High correlation
`thalassemia_reversable defect` is highly correlated with `thalassemia_normal` and 1 other fields	High correlation
`diagnosis` is highly correlated with `max_heart_rate_achieved` and 5 other fields	High correlation
`st_depression` has 329 (32.1%) zeros	Zeros

Reproduction

Analysis started	2022-09-04 01:57:14.235198
Analysis finished	2022-09-04 01:57:21.144530
Duration	6.91 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	41
Distinct (%)	4.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	54.43414634

Minimum	29
Maximum	77
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.1 KiB

Quantile statistics

Minimum	29
5-th percentile	39
Q1	48
median	56
Q3	61
95-th percentile	68
Maximum	77
Range	48
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.072290233
Coefficient of variation (CV)	0.1666654268
Kurtosis	-0.5256178129
Mean	54.43414634
Median Absolute Deviation (MAD)	6
Skewness	-0.2488659017
Sum	55795
Variance	82.30645008
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
58	68	6.6%
57	57	5.6%
54	53	5.2%
59	46	4.5%
52	43	4.2%
51	39	3.8%
56	39	3.8%
62	37	3.6%
60	37	3.6%
44	36	3.5%
Other values (31)	570	55.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
29	4	0.4%
34	6	0.6%
35	15	1.5%
37	6	0.6%
38	12	1.2%
39	14	1.4%
40	11	1.1%
41	32	3.1%
42	26	2.5%
43	26	2.5%

Value	Count	Frequency (%)
77	3	0.3%
76	3	0.3%
74	3	0.3%
71	11	1.1%
70	14	1.4%
69	9	0.9%
68	12	1.2%
67	31	3.0%
66	25	2.4%
65	27	2.6%

resting_blood_pressure
Real number (ℝ_≥0)

Distinct	49
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	131.6117073

Minimum	94
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.1 KiB

Quantile statistics

Minimum	94
5-th percentile	108
Q1	120
median	130
Q3	140
95-th percentile	163.2
Maximum	200
Range	106
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	17.51671801
Coefficient of variation (CV)	0.1330939197
Kurtosis	0.9912207431
Mean	131.6117073
Median Absolute Deviation (MAD)	10
Skewness	0.7397682261
Sum	134902
Variance	306.8354097
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
120	128	12.5%
130	123	12.0%
140	107	10.4%
110	64	6.2%
150	55	5.4%
138	45	4.4%
128	39	3.8%
125	38	3.7%
160	36	3.5%
112	30	2.9%
Other values (39)	360	35.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
94	7	0.7%
100	14	1.4%
101	3	0.3%
102	6	0.6%
104	3	0.3%
105	9	0.9%
106	3	0.3%
108	21	2.0%
110	64	6.2%
112	30	2.9%

Value	Count	Frequency (%)
200	4	0.4%
192	3	0.3%
180	10	1.0%
178	7	0.7%
174	3	0.3%
172	3	0.3%
170	15	1.5%
165	4	0.4%
164	3	0.3%
160	36	3.5%

cholesterol
Real number (ℝ_≥0)

Distinct	152
Distinct (%)	14.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	246

Minimum	126
Maximum	564
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.1 KiB

Quantile statistics

Minimum	126
5-th percentile	175
Q1	211
median	240
Q3	275
95-th percentile	330
Maximum	564
Range	438
Interquartile range (IQR)	64

Descriptive statistics

Standard deviation	51.59251021
Coefficient of variation (CV)	0.2097256512
Kurtosis	3.996803049
Mean	246
Median Absolute Deviation (MAD)	33
Skewness	1.074072778
Sum	252150
Variance	2661.787109
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
204	21	2.0%
234	21	2.0%
197	19	1.9%
212	18	1.8%
254	17	1.7%
269	16	1.6%
177	14	1.4%
240	14	1.4%
282	14	1.4%
239	13	1.3%
Other values (142)	858	83.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126	3	0.3%
131	3	0.3%
141	3	0.3%
149	8	0.8%
157	4	0.4%
160	3	0.3%
164	3	0.3%
166	4	0.4%
167	4	0.4%
168	3	0.3%

Value	Count	Frequency (%)
564	3	0.3%
417	3	0.3%
409	3	0.3%
407	4	0.4%
394	3	0.3%
360	3	0.3%
354	3	0.3%
353	4	0.4%
342	4	0.4%
341	4	0.4%

max_heart_rate_achieved
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	91
Distinct (%)	8.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	149.1141463

Minimum	71
Maximum	202
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	8.1 KiB

Quantile statistics

Minimum	71
5-th percentile	108
Q1	132
median	152
Q3	166
95-th percentile	182
Maximum	202
Range	131
Interquartile range (IQR)	34

Descriptive statistics

Standard deviation	23.00572375
Coefficient of variation (CV)	0.1542826372
Kurtosis	-0.08882248803
Mean	149.1141463
Median Absolute Deviation (MAD)	16
Skewness	-0.5137771771
Sum	152842
Variance	529.2633251
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
162	35	3.4%
160	31	3.0%
163	29	2.8%
173	28	2.7%
152	28	2.7%
144	26	2.5%
132	26	2.5%
150	25	2.4%
125	25	2.4%
143	23	2.2%
Other values (81)	749	73.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
71	4	0.4%
88	3	0.3%
90	3	0.3%
95	4	0.4%
96	7	0.7%
97	4	0.4%
99	3	0.3%
103	8	0.8%
105	10	1.0%
106	3	0.3%

Value	Count	Frequency (%)
202	4	0.4%
195	3	0.3%
194	3	0.3%
192	3	0.3%
190	4	0.4%
188	3	0.3%
187	3	0.3%
186	6	0.6%
185	3	0.3%
184	3	0.3%

st_depression
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	40
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.071512195

Minimum	0
Maximum	6.2
Zeros	329
Zeros (%)	32.1%
Negative	0
Negative (%)	0.0%
Memory size	8.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.8
Q3	1.8
95-th percentile	3.4
Maximum	6.2
Range	6.2
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	1.175053255
Coefficient of variation (CV)	1.096630781
Kurtosis	1.314470889
Mean	1.071512195
Median Absolute Deviation (MAD)	0.8
Skewness	1.210899388
Sum	1098.3
Variance	1.380750152
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
0	329	32.1%
1.2	58	5.7%
1	51	5.0%
0.6	47	4.6%
0.8	44	4.3%
1.4	44	4.3%
1.6	37	3.6%
0.2	37	3.6%
1.8	36	3.5%
2	32	3.1%
Other values (30)	310	30.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	329	32.1%
0.1	23	2.2%
0.2	37	3.6%
0.3	10	1.0%
0.4	30	2.9%
0.5	15	1.5%
0.6	47	4.6%
0.7	3	0.3%
0.8	44	4.3%
0.9	10	1.0%

Value	Count	Frequency (%)
6.2	3	0.3%
5.6	4	0.4%
4.4	4	0.4%
4.2	6	0.6%
4	12	1.2%
3.8	4	0.4%
3.6	15	1.5%
3.5	3	0.3%
3.4	10	1.0%
3.2	8	0.8%

num_major_vessels
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

0	578
1	226
2	134
3	69
4	18

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	5
Distinct categories	1 ?
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	2
2nd row	0
3rd row	0
4th row	1
5th row	3

Common Values

Value	Count	Frequency (%)
0	578	56.4%
1	226	22.0%
2	134	13.1%
3	69	6.7%
4	18	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	578	56.4%
1	226	22.0%
2	134	13.1%
3	69	6.7%
4	18	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	578	56.4%
1	226	22.0%
2	134	13.1%
3	69	6.7%
4	18	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	578	56.4%
1	226	22.0%
2	134	13.1%
3	69	6.7%
4	18	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	578	56.4%
1	226	22.0%
2	134	13.1%
3	69	6.7%
4	18	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	578	56.4%
1	226	22.0%
2	134	13.1%
3	69	6.7%
4	18	1.8%

sex_male
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

1	713
0	312

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	713	69.6%
0	312	30.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	713	69.6%
0	312	30.4%

Most occurring characters

Value	Count	Frequency (%)
1	713	69.6%
0	312	30.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	713	69.6%
0	312	30.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	713	69.6%
0	312	30.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	713	69.6%
0	312	30.4%

chest_pain_type_atypical angina
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

0	858
1	167

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	858	83.7%
1	167	16.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	858	83.7%
1	167	16.3%

Most occurring characters

Value	Count	Frequency (%)
0	858	83.7%
1	167	16.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	858	83.7%
1	167	16.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	858	83.7%
1	167	16.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	858	83.7%
1	167	16.3%

chest_pain_type_non-anginal pain
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

0	741
1	284

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	741	72.3%
1	284	27.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	741	72.3%
1	284	27.7%

Most occurring characters

Value	Count	Frequency (%)
0	741	72.3%
1	284	27.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	741	72.3%
1	284	27.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	741	72.3%
1	284	27.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	741	72.3%
1	284	27.7%

chest_pain_type_typical angina
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

0	528
1	497

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

Most occurring characters

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

fasting_blood_sugar_lower than 120mg/ml
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

1	872
0	153

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	1
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	872	85.1%
0	153	14.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	872	85.1%
0	153	14.9%

Most occurring characters

Value	Count	Frequency (%)
1	872	85.1%
0	153	14.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	872	85.1%
0	153	14.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	872	85.1%
0	153	14.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	872	85.1%
0	153	14.9%

rest_ecg_left ventricular hypertrophy
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

0	1010
1	15

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	1010	98.5%
1	15	1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	1010	98.5%
1	15	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	1010	98.5%
1	15	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1010	98.5%
1	15	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1010	98.5%
1	15	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1010	98.5%
1	15	1.5%

rest_ecg_normal
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

0	528
1	497

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

Most occurring characters

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	528	51.5%
1	497	48.5%

exercise_induced_angina_yes
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

0	680
1	345

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	680	66.3%
1	345	33.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	680	66.3%
1	345	33.7%

Most occurring characters

Value	Count	Frequency (%)
0	680	66.3%
1	345	33.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	680	66.3%
1	345	33.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	680	66.3%
1	345	33.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	680	66.3%
1	345	33.7%

st_slope_flat
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

0	543
1	482

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	543	53.0%
1	482	47.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	543	53.0%
1	482	47.0%

Most occurring characters

Value	Count	Frequency (%)
0	543	53.0%
1	482	47.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	543	53.0%
1	482	47.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	543	53.0%
1	482	47.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	543	53.0%
1	482	47.0%

st_slope_upslope
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

0	951
1	74

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	951	92.8%
1	74	7.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	951	92.8%
1	74	7.2%

Most occurring characters

Value	Count	Frequency (%)
0	951	92.8%
1	74	7.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	951	92.8%
1	74	7.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	951	92.8%
1	74	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	951	92.8%
1	74	7.2%

thalassemia_fixed defect
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

0	961
1	64

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	961	93.8%
1	64	6.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	961	93.8%
1	64	6.2%

Most occurring characters

Value	Count	Frequency (%)
0	961	93.8%
1	64	6.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	961	93.8%
1	64	6.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	961	93.8%
1	64	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	961	93.8%
1	64	6.2%

thalassemia_normal
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

1	544
0	481

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	544	53.1%
0	481	46.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	544	53.1%
0	481	46.9%

Most occurring characters

Value	Count	Frequency (%)
1	544	53.1%
0	481	46.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	544	53.1%
0	481	46.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	544	53.1%
0	481	46.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	544	53.1%
0	481	46.9%

thalassemia_reversable defect
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

0	615
1	410

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	615	60.0%
1	410	40.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	615	60.0%
1	410	40.0%

Most occurring characters

Value	Count	Frequency (%)
0	615	60.0%
1	410	40.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	615	60.0%
1	410	40.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	615	60.0%
1	410	40.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	615	60.0%
1	410	40.0%

diagnosis
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.1 KiB

1	526
0	499

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1025
Distinct characters	2
Distinct categories	1 ?
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	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	526	51.3%
0	499	48.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	526	51.3%
0	499	48.7%

Most occurring characters

Value	Count	Frequency (%)
1	526	51.3%
0	499	48.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1025	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	526	51.3%
0	499	48.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	1025	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	526	51.3%
0	499	48.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1025	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	526	51.3%
0	499	48.7%

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.

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.

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.

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.

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.

Count
Matrix

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.

First rows

	age	resting_blood_pressure	cholesterol	max_heart_rate_achieved	st_depression	num_major_vessels	sex_male	chest_pain_type_typical angina	fasting_blood_sugar_lower than 120mg/ml	rest_ecg_left ventricular hypertrophy	rest_ecg_normal	exercise_induced_angina_yes	st_slope_flat	st_slope_upslope	thalassemia_fixed defect	thalassemia_normal	thalassemia_reversable defect	diagnosis
0	52	125	212	168	1.0	2	1	1	1	0	0	0	0	0	0	0	1	0
1	53	140	203	155	3.1	0	1	1	0	0	1	1	0	1	0	0	1	0
2	70	145	174	125	2.6	0	1	1	1	0	0	1	0	1	0	0	1	0
3	61	148	203	161	0.0	1	1	1	1	0	0	0	0	0	0	0	1	0
4	62	138	294	106	1.9	3	0	1	0	0	0	0	1	0	0	1	0	0
5	58	100	248	122	1.0	0	0	1	1	0	1	0	1	0	0	1	0	1
6	58	114	318	140	4.4	3	1	1	1	1	0	0	0	1	1	0	0	0
7	55	160	289	145	0.8	1	1	1	1	0	1	1	1	0	0	0	1	0
8	46	120	249	144	0.8	0	1	1	1	0	1	0	0	0	0	0	1	0
9	54	122	286	116	3.2	2	1	1	1	0	1	1	1	0	0	1	0	0

Last rows

	age	resting_blood_pressure	cholesterol	max_heart_rate_achieved	st_depression	num_major_vessels	sex_male	chest_pain_type_atypical angina	chest_pain_type_typical angina	fasting_blood_sugar_lower than 120mg/ml	rest_ecg_normal	exercise_induced_angina_yes	st_slope_flat	thalassemia_normal	thalassemia_reversable defect	diagnosis
1015	58	128	216	131	2.2	3	1	0	1	1	1	1	1	0	1	0
1016	65	138	282	174	1.4	1	1	0	0	0	1	0	1	1	0	0
1017	53	123	282	95	2.0	2	1	0	1	1	0	1	1	0	1	0
1018	41	110	172	158	0.0	0	1	0	1	1	1	0	0	0	1	0
1019	47	112	204	143	0.1	0	1	0	1	1	0	0	0	1	0	1
1020	59	140	221	164	0.0	0	1	1	0	1	0	1	0	1	0	1
1021	60	125	258	141	2.8	1	1	0	1	1	1	1	1	0	1	0
1022	47	110	275	118	1.0	1	1	0	1	1	1	1	1	1	0	0
1023	50	110	254	159	0.0	0	0	0	1	1	1	0	0	1	0	1
1024	54	120	188	113	1.4	1	1	0	1	1	0	0	1	0	1	0

Most frequently occurring

	age	resting_blood_pressure	cholesterol	max_heart_rate_achieved	st_depression	num_major_vessels	sex_male	chest_pain_type_atypical angina	chest_pain_type_non-anginal pain	chest_pain_type_typical angina	fasting_blood_sugar_lower than 120mg/ml	rest_ecg_normal	exercise_induced_angina_yes	st_slope_flat	thalassemia_normal	thalassemia_reversable defect	diagnosis	# duplicates
10	38	138	175	173	0.0	4	1	0	1	0	1	0	0	0	1	0	1	8
0	29	130	204	202	0.0	0	1	1	0	0	1	1	0	0	1	0	1	4
3	35	120	198	130	1.6	0	1	0	0	1	1	0	1	1	0	1	0	4
4	35	122	192	174	0.0	0	1	1	0	0	1	0	0	0	1	0	1	4
6	35	138	183	182	1.4	0	0	0	0	1	1	0	0	0	1	0	1	4
9	38	120	231	182	3.8	0	1	0	0	0	1	0	1	1	0	1	0	4
12	39	118	219	140	1.2	0	1	0	0	1	1	0	0	1	0	1	0	4
13	39	138	220	152	0.0	0	0	0	1	0	1	0	0	1	1	0	1	4
15	40	110	167	114	2.0	0	1	0	0	1	1	1	1	1	0	1	0	4
17	40	152	223	181	0.0	0	1	0	0	1	1	0	0	0	0	1	0	4

	age	resting_blood_pressure	cholesterol	max_heart_rate_achieved	st_depression	num_major_vessels	sex_male	chest_pain_type_typical angina	fasting_blood_sugar_lower than 120mg/ml	rest_ecg_left ventricular hypertrophy	rest_ecg_normal	exercise_induced_angina_yes	st_slope_flat	st_slope_upslope	thalassemia_fixed defect	thalassemia_normal	thalassemia_reversable defect	diagnosis
0	52	125	212	168	1.0	2	1	1	1	0	0	0	0	0	0	0	1	0
1	53	140	203	155	3.1	0	1	1	0	0	1	1	0	1	0	0	1	0
2	70	145	174	125	2.6	0	1	1	1	0	0	1	0	1	0	0	1	0
3	61	148	203	161	0.0	1	1	1	1	0	0	0	0	0	0	0	1	0
4	62	138	294	106	1.9	3	0	1	0	0	0	0	1	0	0	1	0	0
5	58	100	248	122	1.0	0	0	1	1	0	1	0	1	0	0	1	0	1
6	58	114	318	140	4.4	3	1	1	1	1	0	0	0	1	1	0	0	0
7	55	160	289	145	0.8	1	1	1	1	0	1	1	1	0	0	0	1	0
8	46	120	249	144	0.8	0	1	1	1	0	1	0	0	0	0	0	1	0
9	54	122	286	116	3.2	2	1	1	1	0	1	1	1	0	0	1	0	0

	age	resting_blood_pressure	cholesterol	max_heart_rate_achieved	st_depression	num_major_vessels	sex_male	chest_pain_type_atypical angina	chest_pain_type_non-anginal pain	chest_pain_type_typical angina	fasting_blood_sugar_lower than 120mg/ml	rest_ecg_normal	exercise_induced_angina_yes	st_slope_flat	thalassemia_normal	thalassemia_reversable defect	diagnosis	# duplicates
10	38	138	175	173	0.0	4	1	0	1	0	1	0	0	0	1	0	1	8
0	29	130	204	202	0.0	0	1	1	0	0	1	1	0	0	1	0	1	4
3	35	120	198	130	1.6	0	1	0	0	1	1	0	1	1	0	1	0	4
4	35	122	192	174	0.0	0	1	1	0	0	1	0	0	0	1	0	1	4
6	35	138	183	182	1.4	0	0	0	0	1	1	0	0	0	1	0	1	4
9	38	120	231	182	3.8	0	1	0	0	0	1	0	1	1	0	1	0	4
12	39	118	219	140	1.2	0	1	0	0	1	1	0	0	1	0	1	0	4
13	39	138	220	152	0.0	0	0	0	1	0	1	0	0	1	1	0	1	4
15	40	110	167	114	2.0	0	1	0	0	1	1	1	1	1	0	1	0	4
17	40	152	223	181	0.0	0	1	0	0	1	1	0	0	0	0	1	0	4

	age	resting_blood_pressure	cholesterol	max_heart_rate_achieved	st_depression	num_major_vessels	sex_male	chest_pain_type_typical angina	fasting_blood_sugar_lower than 120mg/ml	rest_ecg_left ventricular hypertrophy	rest_ecg_normal	exercise_induced_angina_yes	st_slope_flat	st_slope_upslope	thalassemia_fixed defect	thalassemia_normal	thalassemia_reversable defect	diagnosis
0	52	125	212	168	1.0	2	1	1	1	0	0	0	0	0	0	0	1	0
1	53	140	203	155	3.1	0	1	1	0	0	1	1	0	1	0	0	1	0
2	70	145	174	125	2.6	0	1	1	1	0	0	1	0	1	0	0	1	0
3	61	148	203	161	0.0	1	1	1	1	0	0	0	0	0	0	0	1	0
4	62	138	294	106	1.9	3	0	1	0	0	0	0	1	0	0	1	0	0
5	58	100	248	122	1.0	0	0	1	1	0	1	0	1	0	0	1	0	1
6	58	114	318	140	4.4	3	1	1	1	1	0	0	0	1	1	0	0	0
7	55	160	289	145	0.8	1	1	1	1	0	1	1	1	0	0	0	1	0
8	46	120	249	144	0.8	0	1	1	1	0	1	0	0	0	0	0	1	0
9	54	122	286	116	3.2	2	1	1	1	0	1	1	1	0	0	1	0	0

	age	resting_blood_pressure	cholesterol	max_heart_rate_achieved	st_depression	num_major_vessels	sex_male	chest_pain_type_atypical angina	chest_pain_type_non-anginal pain	chest_pain_type_typical angina	fasting_blood_sugar_lower than 120mg/ml	rest_ecg_normal	exercise_induced_angina_yes	st_slope_flat	thalassemia_normal	thalassemia_reversable defect	diagnosis	# duplicates
10	38	138	175	173	0.0	4	1	0	1	0	1	0	0	0	1	0	1	8
0	29	130	204	202	0.0	0	1	1	0	0	1	1	0	0	1	0	1	4
3	35	120	198	130	1.6	0	1	0	0	1	1	0	1	1	0	1	0	4
4	35	122	192	174	0.0	0	1	1	0	0	1	0	0	0	1	0	1	4
6	35	138	183	182	1.4	0	0	0	0	1	1	0	0	0	1	0	1	4
9	38	120	231	182	3.8	0	1	0	0	0	1	0	1	1	0	1	0	4
12	39	118	219	140	1.2	0	1	0	0	1	1	0	0	1	0	1	0	4
13	39	138	220	152	0.0	0	0	0	1	0	1	0	0	1	1	0	1	4
15	40	110	167	114	2.0	0	1	0	0	1	1	1	1	1	0	1	0	4
17	40	152	223	181	0.0	0	1	0	0	1	1	0	0	0	0	1	0	4

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

	age	resting_blood_pressure	cholesterol	max_heart_rate_achieved	st_depression	num_major_vessels	sex_male	chest_pain_type_typical angina	fasting_blood_sugar_lower than 120mg/ml	rest_ecg_left ventricular hypertrophy	rest_ecg_normal	exercise_induced_angina_yes	st_slope_flat	st_slope_upslope	thalassemia_fixed defect	thalassemia_normal	thalassemia_reversable defect	diagnosis
0	52	125	212	168	1.0	2	1	1	1	0	0	0	0	0	0	0	1	0
1	53	140	203	155	3.1	0	1	1	0	0	1	1	0	1	0	0	1	0
2	70	145	174	125	2.6	0	1	1	1	0	0	1	0	1	0	0	1	0
3	61	148	203	161	0.0	1	1	1	1	0	0	0	0	0	0	0	1	0
4	62	138	294	106	1.9	3	0	1	0	0	0	0	1	0	0	1	0	0
5	58	100	248	122	1.0	0	0	1	1	0	1	0	1	0	0	1	0	1
6	58	114	318	140	4.4	3	1	1	1	1	0	0	0	1	1	0	0	0
7	55	160	289	145	0.8	1	1	1	1	0	1	1	1	0	0	0	1	0
8	46	120	249	144	0.8	0	1	1	1	0	1	0	0	0	0	0	1	0
9	54	122	286	116	3.2	2	1	1	1	0	1	1	1	0	0	1	0	0

	age	resting_blood_pressure	cholesterol	max_heart_rate_achieved	st_depression	num_major_vessels	sex_male	chest_pain_type_atypical angina	chest_pain_type_non-anginal pain	chest_pain_type_typical angina	fasting_blood_sugar_lower than 120mg/ml	rest_ecg_normal	exercise_induced_angina_yes	st_slope_flat	thalassemia_normal	thalassemia_reversable defect	diagnosis	# duplicates
10	38	138	175	173	0.0	4	1	0	1	0	1	0	0	0	1	0	1	8
0	29	130	204	202	0.0	0	1	1	0	0	1	1	0	0	1	0	1	4
3	35	120	198	130	1.6	0	1	0	0	1	1	0	1	1	0	1	0	4
4	35	122	192	174	0.0	0	1	1	0	0	1	0	0	0	1	0	1	4
6	35	138	183	182	1.4	0	0	0	0	1	1	0	0	0	1	0	1	4
9	38	120	231	182	3.8	0	1	0	0	0	1	0	1	1	0	1	0	4
12	39	118	219	140	1.2	0	1	0	0	1	1	0	0	1	0	1	0	4
13	39	138	220	152	0.0	0	0	0	1	0	1	0	0	1	1	0	1	4
15	40	110	167	114	2.0	0	1	0	0	1	1	1	1	1	0	1	0	4
17	40	152	223	181	0.0	0	1	0	0	1	1	0	0	0	0	1	0	4