Dataset statistics
Number of variables | 5 |
---|---|
Number of observations | 210 |
Missing cells | 0 |
Missing cells (%) | 0.0% |
Duplicate rows | 0 |
Duplicate rows (%) | 0.0% |
Total size in memory | 8.3 KiB |
Average record size in memory | 40.6 B |
Variable types
Numeric | 1 |
---|---|
Categorical | 4 |
AGE is highly correlated with AMPUTATION | High correlation |
AMPUTATION is highly correlated with AGE | High correlation |
AMPUTATION is uniformly distributed | Uniform |
Reproduction
Analysis started | 2021-11-16 20:48:41.142486 |
---|---|
Analysis finished | 2021-11-16 20:48:42.048926 |
Duration | 0.91 seconds |
Software version | pandas-profiling v3.1.0 |
Download configuration | config.json |
Distinct | 71 |
---|---|
Distinct (%) | 33.8% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 55.0952381 |
Minimum | 4 |
---|---|
Maximum | 89 |
Zeros | 0 |
Zeros (%) | 0.0% |
Negative | 0 |
Negative (%) | 0.0% |
Memory size | 1.8 KiB |
Quantile statistics
Minimum | 4 |
---|---|
5-th percentile | 16.9 |
Q1 | 47.25 |
median | 59 |
Q3 | 68 |
95-th percentile | 80 |
Maximum | 89 |
Range | 85 |
Interquartile range (IQR) | 20.75 |
Descriptive statistics
Standard deviation | 18.58024047 |
---|---|
Coefficient of variation (CV) | 0.3372385911 |
Kurtosis | 0.4244667576 |
Mean | 55.0952381 |
Median Absolute Deviation (MAD) | 10 |
Skewness | -0.8567484108 |
Sum | 11570 |
Variance | 345.2253361 |
Monotonicity | Not monotonic |
Value | Count | Frequency (%) |
61 | 10 | 4.8% |
62 | 9 | 4.3% |
69 | 8 | 3.8% |
60 | 8 | 3.8% |
52 | 7 | 3.3% |
54 | 7 | 3.3% |
56 | 7 | 3.3% |
73 | 6 | 2.9% |
50 | 6 | 2.9% |
65 | 6 | 2.9% |
Other values (61) | 136 |
Value | Count | Frequency (%) |
4 | 2 | |
5 | 2 | |
7 | 1 | |
8 | 1 | |
9 | 1 | |
11 | 1 | |
12 | 1 | |
15 | 1 | |
16 | 1 | |
18 | 2 |
Value | Count | Frequency (%) |
89 | 1 | 0.5% |
88 | 2 | 1.0% |
85 | 1 | 0.5% |
84 | 1 | 0.5% |
83 | 1 | 0.5% |
81 | 1 | 0.5% |
80 | 5 | |
79 | 2 | 1.0% |
78 | 2 | 1.0% |
77 | 3 |
GENDER
Categorical
Distinct | 2 |
---|---|
Distinct (%) | 1.0% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 1.8 KiB |
F | |
---|---|
M |
Common Values
Value | Count | Frequency (%) |
F | 112 | |
M | 98 |
Length
Pie chart
Value | Count | Frequency (%) |
f | 112 | |
m | 98 |
Most occurring characters
Value | Count | Frequency (%) |
No values found. |
Most occurring categories
Value | Count | Frequency (%) |
No values found. |
Most frequent character per category
Most occurring scripts
Value | Count | Frequency (%) |
No values found. |
Most frequent character per script
Most occurring blocks
Value | Count | Frequency (%) |
No values found. |
Most frequent character per block
RACE
Categorical
Distinct | 5 |
---|---|
Distinct (%) | 2.4% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 1.8 KiB |
Asian | |
---|---|
Black | |
White | |
Coloured | |
Other |
Common Values
Value | Count | Frequency (%) |
Asian | 89 | |
Black | 57 | |
White | 29 | 13.8% |
Coloured | 25 | 11.9% |
Other | 10 | 4.8% |
Length
Pie chart
Value | Count | Frequency (%) |
asian | 89 | |
black | 57 | |
white | 29 | 13.8% |
coloured | 25 | 11.9% |
other | 10 | 4.8% |
Most occurring characters
Value | Count | Frequency (%) |
No values found. |
Most occurring categories
Value | Count | Frequency (%) |
No values found. |
Most frequent character per category
Most occurring scripts
Value | Count | Frequency (%) |
No values found. |
Most frequent character per script
Most occurring blocks
Value | Count | Frequency (%) |
No values found. |
Most frequent character per block
DIABETES_CLASS
Categorical
Distinct | 2 |
---|---|
Distinct (%) | 1.0% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 1.8 KiB |
Type 2 diabetes | |
---|---|
Type 1 diabetes |
Length
Max length | 15 |
---|---|
Median length | 15 |
Mean length | 15 |
Min length | 15 |
Characters and Unicode
Total characters | 0 |
---|---|
Distinct characters | 0 |
Distinct categories | 0 ? |
Distinct scripts | 0 ? |
Distinct blocks | 0 ? |
Unique
Unique | 0 ? |
---|---|
Unique (%) | 0.0% |
Sample
1st row | Type 2 diabetes |
---|---|
2nd row | Type 2 diabetes |
3rd row | Type 2 diabetes |
4th row | Type 2 diabetes |
5th row | Type 2 diabetes |
Common Values
Value | Count | Frequency (%) |
Type 2 diabetes | 135 | |
Type 1 diabetes | 75 |
Length
Pie chart
Value | Count | Frequency (%) |
diabetes | 210 | |
type | 210 | |
2 | 135 | |
1 | 75 | 11.9% |
Most occurring characters
Value | Count | Frequency (%) |
No values found. |
Most occurring categories
Value | Count | Frequency (%) |
No values found. |
Most frequent character per category
Most occurring scripts
Value | Count | Frequency (%) |
No values found. |
Most frequent character per script
Most occurring blocks
Value | Count | Frequency (%) |
No values found. |
Most frequent character per block
Distinct | 2 |
---|---|
Distinct (%) | 1.0% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 1.8 KiB |
0 | |
---|---|
1 |
Common Values
Value | Count | Frequency (%) |
0 | 105 | |
1 | 105 |
Length
Pie chart
Value | Count | Frequency (%) |
1 | 105 | |
0 | 105 |
Most occurring characters
Value | Count | Frequency (%) |
No values found. |
Most occurring categories
Value | Count | Frequency (%) |
No values found. |
Most frequent character per category
Most occurring scripts
Value | Count | Frequency (%) |
No values found. |
Most frequent character per script
Most occurring blocks
Value | Count | Frequency (%) |
No values found. |
Most frequent character per block
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.First rows
AGE | GENDER | RACE | DIABETES_CLASS | AMPUTATION | |
---|---|---|---|---|---|
0 | 50 | M | Black | Type 2 diabetes | 1 |
1 | 47 | M | Black | Type 2 diabetes | 1 |
2 | 76 | F | Asian | Type 2 diabetes | 1 |
3 | 57 | F | Black | Type 2 diabetes | 1 |
4 | 67 | F | White | Type 2 diabetes | 1 |
5 | 56 | F | White | Type 2 diabetes | 1 |
6 | 66 | F | Asian | Type 2 diabetes | 1 |
7 | 62 | F | Coloured | Type 1 diabetes | 1 |
8 | 65 | F | Black | Type 2 diabetes | 1 |
9 | 80 | F | Asian | Type 1 diabetes | 1 |
Last rows
AGE | GENDER | RACE | DIABETES_CLASS | AMPUTATION | |
---|---|---|---|---|---|
200 | 60 | M | Coloured | Type 2 diabetes | 0 |
201 | 69 | M | White | Type 2 diabetes | 0 |
202 | 73 | F | Other | Type 2 diabetes | 0 |
203 | 59 | F | Asian | Type 2 diabetes | 0 |
204 | 75 | F | Asian | Type 2 diabetes | 0 |
205 | 48 | F | Coloured | Type 1 diabetes | 0 |
206 | 50 | M | Coloured | Type 2 diabetes | 0 |
207 | 19 | F | White | Type 1 diabetes | 0 |
208 | 88 | F | Black | Type 2 diabetes | 0 |
209 | 65 | F | Other | Type 2 diabetes | 0 |