cmc

Dataset statistics

Number of variables	10
Number of observations	1473
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	48
Duplicate rows (%)	3.3%
Total size in memory	115.2 KiB
Average record size in memory	80.1 B

Variable types

CAT	5
BOOL	3
NUM	2

Reproduction

Analysis started	2020-08-25 01:17:21.327115
Analysis finished	2020-08-25 01:17:23.001420
Duration	1.67 second
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

Dataset has 48 (3.3%) duplicate rows	Duplicates
`Number_of_children_ever_born` has 97 (6.6%) zeros	Zeros

Wifes_age
Real number (ℝ_≥0)

Distinct count	34
Unique (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	32.53835709436524
Minimum	16.0
Maximum	49.0
Zeros	0
Zeros (%)	0.0%
Memory size	11.6 KiB

Quantile statistics

Minimum	16
5-th percentile	21
Q1	26
median	32
Q3	39
95-th percentile	47
Maximum	49
Range	33
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	8.227244755
Coefficient of variation (CV)	0.2528475771
Kurtosis	-0.9438944909
Mean	32.53835709
Median Absolute Deviation (MAD)	6
Skewness	0.2564492055
Sum	47929
Variance	67.68755627

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
25	80	5.4%
26	69	4.7%
32	64	4.3%
30	64	4.3%
28	63	4.3%
35	62	4.2%
24	61	4.1%
27	59	4.0%
29	59	4.0%
22	59	4.0%
36	57	3.9%
33	55	3.7%
37	51	3.5%
34	50	3.4%
21	48	3.3%
31	46	3.1%
23	44	3.0%
38	44	3.0%
47	43	2.9%
45	41	2.8%
42	40	2.7%
44	39	2.6%
43	34	2.3%
39	34	2.3%
41	34	2.3%
Other values (9)	173	11.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
16	3	0.2%
17	8	0.5%
18	7	0.5%
19	18	1.2%
20	28	1.9%
21	48	3.3%
22	59	4.0%
23	44	3.0%
24	61	4.1%
25	80	5.4%

Value	Count	Frequency (%)
49	23	1.6%
48	30	2.0%
47	43	2.9%
46	22	1.5%
45	41	2.8%
44	39	2.6%
43	34	2.3%
42	40	2.7%
41	34	2.3%
40	34	2.3%

Wifes_education
Categorical

Distinct count	4
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.6 KiB

4	577
3	410
2	334
1	152

Value	Count	Frequency (%)
4	577	39.2%
3	410	27.8%
2	334	22.7%
1	152	10.3%

Length

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

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
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 (%)
4	577	39.2%
3	410	27.8%
2	334	22.7%
1	152	10.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1473	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
4	577	39.2%
3	410	27.8%
2	334	22.7%
1	152	10.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1473	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
4	577	39.2%
3	410	27.8%
2	334	22.7%
1	152	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1473	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
4	577	39.2%
3	410	27.8%
2	334	22.7%
1	152	10.3%

Husbands_education
Categorical

Distinct count	4
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.6 KiB

4	899
3	352
2	178
1	44

Value	Count	Frequency (%)
4	899	61.0%
3	352	23.9%
2	178	12.1%
1	44	3.0%

Length

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

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
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 (%)
4	899	61.0%
3	352	23.9%
2	178	12.1%
1	44	3.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1473	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
4	899	61.0%
3	352	23.9%
2	178	12.1%
1	44	3.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1473	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
4	899	61.0%
3	352	23.9%
2	178	12.1%
1	44	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1473	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
4	899	61.0%
3	352	23.9%
2	178	12.1%
1	44	3.0%

Number_of_children_ever_born
Real number (ℝ_≥0)

ZEROS

Distinct count	15
Unique (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.2613713509843856
Minimum	0.0
Maximum	16.0
Zeros	97
Zeros (%)	6.6%
Memory size	11.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	4
95-th percentile	8
Maximum	16
Range	16
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.358548863
Coefficient of variation (CV)	0.7231770347
Kurtosis	1.529606551
Mean	3.261371351
Median Absolute Deviation (MAD)	2
Skewness	1.099013946
Sum	4804
Variance	5.562752738

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2	276	18.7%
1	276	18.7%
3	259	17.6%
4	197	13.4%
5	135	9.2%
0	97	6.6%
6	92	6.2%
7	49	3.3%
8	47	3.2%
9	16	1.1%
11	11	0.7%
10	11	0.7%
12	4	0.3%
13	2	0.1%
16	1	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	97	6.6%
1	276	18.7%
2	276	18.7%
3	259	17.6%
4	197	13.4%
5	135	9.2%
6	92	6.2%
7	49	3.3%
8	47	3.2%
9	16	1.1%

Value	Count	Frequency (%)
16	1	0.1%
13	2	0.1%
12	4	0.3%
11	11	0.7%
10	11	0.7%
9	16	1.1%
8	47	3.2%
7	49	3.3%
6	92	6.2%
5	135	9.2%

Wifes_religion
Boolean

Distinct count	2
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.6 KiB

1	1253
0	220

Frequency Table

Value	Count	Frequency (%)
1	1253	85.1%
0	220	14.9%

Wifes_now_working?
Boolean

Distinct count	2
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.6 KiB

1	1104
0	369

Frequency Table

Value	Count	Frequency (%)
1	1104	74.9%
0	369	25.1%

Husbands_occupation
Categorical

Distinct count	4
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.6 KiB

3	585
1	436
2	425
4	27

Value	Count	Frequency (%)
3	585	39.7%
1	436	29.6%
2	425	28.9%
4	27	1.8%

Length

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

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
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 (%)
3	585	39.7%
1	436	29.6%
2	425	28.9%
4	27	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1473	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
3	585	39.7%
1	436	29.6%
2	425	28.9%
4	27	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1473	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
3	585	39.7%
1	436	29.6%
2	425	28.9%
4	27	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1473	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
3	585	39.7%
1	436	29.6%
2	425	28.9%
4	27	1.8%

Standard-of-living_index
Categorical

Distinct count	4
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	11.6 KiB

4	684
3	431
2	229
1	129

Value	Count	Frequency (%)
4	684	46.4%
3	431	29.3%
2	229	15.5%
1	129	8.8%

Length

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

Overview of Unicode Properties

Unique unicode characters	4
Unique unicode categories (?)	1
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 (%)
4	684	46.4%
3	431	29.3%
2	229	15.5%
1	129	8.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1473	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
4	684	46.4%
3	431	29.3%
2	229	15.5%
1	129	8.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	1473	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
4	684	46.4%
3	431	29.3%
2	229	15.5%
1	129	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1473	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
4	684	46.4%
3	431	29.3%
2	229	15.5%
1	129	8.8%

Media_exposure
Boolean

Distinct count	2
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	11.6 KiB

0	1364
1	109

Frequency Table

Value	Count	Frequency (%)
0	1364	92.6%
1	109	7.4%

target
Categorical

Distinct count	3
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	11.6 KiB

1	629
3	511
2	333

Value	Count	Frequency (%)
1	629	42.7%
3	511	34.7%
2	333	22.6%

Length

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

Overview of Unicode Properties

Unique unicode characters	3
Unique unicode categories (?)	1
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 (%)
1	629	42.7%
3	511	34.7%
2	333	22.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1473	100.0%

Most frequent Decimal Number characters

Value	Count	Frequency (%)
1	629	42.7%
3	511	34.7%
2	333	22.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	1473	100.0%

Most frequent Common characters

Value	Count	Frequency (%)
1	629	42.7%
3	511	34.7%
2	333	22.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1473	100.0%

Most frequent ASCII characters

Value	Count	Frequency (%)
1	629	42.7%
3	511	34.7%
2	333	22.6%

Wifes_age
Number_of_children_ever_born

Wifes_age
Number_of_children_ever_born

Wifes_age
Number_of_children_ever_born

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

	Wifes_age	Wifes_education	Husbands_education	Number_of_children_ever_born	Wifes_religion	Wifes_now_working?	Husbands_occupation	Standard-of-living_index	Media_exposure	target
0	24.0	2	3	3.0	1	1	2	3	0	1
1	45.0	1	3	10.0	1	1	3	4	0	1
2	43.0	2	3	7.0	1	1	3	4	0	1
3	42.0	3	2	9.0	1	1	3	3	0	1
4	36.0	3	3	8.0	1	1	3	2	0	1
5	19.0	4	4	0.0	1	1	3	3	0	1
6	38.0	2	3	6.0	1	1	3	2	0	1
7	21.0	3	3	1.0	1	0	3	2	0	1
8	27.0	2	3	3.0	1	1	3	4	0	1
9	45.0	1	1	8.0	1	1	2	2	1	1

Last rows

	Wifes_age	Wifes_education	Husbands_education	Number_of_children_ever_born	Wifes_religion	Wifes_now_working?	Husbands_occupation	Standard-of-living_index	target
1463	30.0	1	3	2.0	1	1	3	4	3
1464	23.0	2	2	1.0	1	1	2	4	3
1465	25.0	2	4	3.0	1	1	1	3	3
1466	42.0	2	4	6.0	1	1	2	4	3
1467	29.0	4	4	3.0	1	1	1	4	3
1468	33.0	4	4	2.0	1	0	2	4	3
1469	33.0	4	4	3.0	1	1	1	4	3
1470	39.0	3	3	8.0	1	0	1	4	3
1471	33.0	3	3	4.0	1	0	2	2	3
1472	17.0	3	3	1.0	1	1	2	4	3

Most frequent

	Wifes_age	Wifes_education	Husbands_education	Number_of_children_ever_born	Wifes_religion	Wifes_now_working?	Husbands_occupation	Standard-of-living_index	target	count
12	26.0	4	4	1.0	1	1	1	4	1	3
21	32.0	4	4	3.0	1	0	1	4	3	3
25	36.0	4	4	3.0	1	1	1	4	2	3
31	41.0	4	4	4.0	0	0	2	4	2	3
0	20.0	2	3	3.0	1	1	3	4	1	2
1	20.0	3	4	0.0	1	1	3	3	1	2
2	21.0	2	3	0.0	1	1	3	4	1	2
3	21.0	3	3	1.0	1	1	3	3	3	2
4	21.0	4	4	1.0	1	1	1	4	2	2
5	22.0	4	4	1.0	1	1	1	3	2	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Most occurring characters

Most occurring categories

Most frequent Decimal Number characters

Most occurring scripts

Most frequent Common characters

Most occurring blocks

Most frequent ASCII characters

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent