Overview

Dataset statistics

Number of variables47
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory424.9 B

Variable types

Text1
Numeric45
Categorical1

Alerts

WEEK_ITNNWP_READ_CO has unique valuesUnique
NTHG_ITNNWP_READ_CO has unique valuesUnique
DAILY_BOOK_READ_CO has 1 (2.9%) zerosZeros
NTHG_BOOK_READ_CO has 1 (2.9%) zerosZeros
DAILY_EBOOK_READ_CO has 3 (8.8%) zerosZeros
DAILY_AUDIO_BOOK_READ_CO has 17 (50.0%) zerosZeros
WEEK_AUDIO_BOOK_READ_CO has 10 (29.4%) zerosZeros
MT_AUDIO_BOOK_READ_CO has 3 (8.8%) zerosZeros
QU_AUDIO_BOOK_READ_CO has 4 (11.8%) zerosZeros
DAILY_NWSPR_READ_CO has 9 (26.5%) zerosZeros
WEEK_NWSPR_READ_CO has 2 (5.9%) zerosZeros
QU_ITNNWP_READ_CO has 1 (2.9%) zerosZeros
DAILY_MGZN_READ_CO has 16 (47.1%) zerosZeros
WEEK_MGZN_READ_CO has 4 (11.8%) zerosZeros
DAILY_WEBZN_READ_CO has 15 (44.1%) zerosZeros
WEEK_WEBZN_READ_CO has 1 (2.9%) zerosZeros
DAILY_CRTUN_BOOK_READ_CO has 11 (32.4%) zerosZeros
WEEK_CRTUN_BOOK_READ_CO has 1 (2.9%) zerosZeros
MT_CRTUN_BOOK_READ_CO has 1 (2.9%) zerosZeros
DAILY_WEB_CRTUN_READ_CO has 1 (2.9%) zerosZeros
QU_WEB_CRTUN_READ_CO has 1 (2.9%) zerosZeros

Reproduction

Analysis started2023-12-10 10:07:36.901371
Analysis finished2023-12-10 10:07:37.437208
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct17
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-10T19:07:37.638939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters68
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울
2nd row부산
3rd row대구
4th row인천
5th row광주
ValueCountFrequency (%)
서울 2
 
5.9%
강원 2
 
5.9%
경남 2
 
5.9%
경북 2
 
5.9%
전남 2
 
5.9%
전북 2
 
5.9%
충남 2
 
5.9%
충북 2
 
5.9%
경기 2
 
5.9%
부산 2
 
5.9%
Other values (7) 14
41.2%
2023-12-10T19:07:38.208754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
8.8%
6
 
8.8%
6
 
8.8%
6
 
8.8%
4
 
5.9%
4
 
5.9%
4
 
5.9%
4
 
5.9%
4
 
5.9%
2
 
2.9%
Other values (11) 22
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
8.8%
6
 
8.8%
6
 
8.8%
6
 
8.8%
4
 
5.9%
4
 
5.9%
4
 
5.9%
4
 
5.9%
4
 
5.9%
2
 
2.9%
Other values (11) 22
32.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
8.8%
6
 
8.8%
6
 
8.8%
6
 
8.8%
4
 
5.9%
4
 
5.9%
4
 
5.9%
4
 
5.9%
4
 
5.9%
2
 
2.9%
Other values (11) 22
32.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
8.8%
6
 
8.8%
6
 
8.8%
6
 
8.8%
4
 
5.9%
4
 
5.9%
4
 
5.9%
4
 
5.9%
4
 
5.9%
2
 
2.9%
Other values (11) 22
32.4%

DAILY_BOOK_READ_CO
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9617647
Minimum0
Maximum53.1
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:38.452927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.53
Q11.925
median5.95
Q312.15
95-th percentile24.565
Maximum53.1
Range53.1
Interquartile range (IQR)10.225

Descriptive statistics

Standard deviation10.432206
Coefficient of variation (CV)1.1640794
Kurtosis9.0406651
Mean8.9617647
Median Absolute Deviation (MAD)4.7
Skewness2.5974317
Sum304.7
Variance108.83092
MonotonicityNot monotonic
2023-12-10T19:07:38.770661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1.9 2
 
5.9%
2.0 2
 
5.9%
11.8 1
 
2.9%
27.1 1
 
2.9%
9.8 1
 
2.9%
11.1 1
 
2.9%
21.7 1
 
2.9%
6.4 1
 
2.9%
15.2 1
 
2.9%
4.0 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
0.0 1
2.9%
0.4 1
2.9%
0.6 1
2.9%
0.7 1
2.9%
1.0 1
2.9%
1.5 1
2.9%
1.7 1
2.9%
1.9 2
5.9%
2.0 2
5.9%
3.5 1
2.9%
ValueCountFrequency (%)
53.1 1
2.9%
27.1 1
2.9%
23.2 1
2.9%
21.7 1
2.9%
15.2 1
2.9%
14.3 1
2.9%
13.2 1
2.9%
12.3 1
2.9%
12.2 1
2.9%
12.0 1
2.9%

WEEK_BOOK_READ_CO
Real number (ℝ)

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.435294
Minimum4.1
Maximum45.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:38.982167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile6.9
Q111.375
median17.5
Q325.05
95-th percentile34.41
Maximum45.4
Range41.3
Interquartile range (IQR)13.675

Descriptive statistics

Standard deviation9.5706585
Coefficient of variation (CV)0.51914868
Kurtosis1.191195
Mean18.435294
Median Absolute Deviation (MAD)6.5
Skewness1.0086448
Sum626.8
Variance91.597504
MonotonicityNot monotonic
2023-12-10T19:07:39.254908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
10.6 2
 
5.9%
14.4 1
 
2.9%
30.0 1
 
2.9%
23.7 1
 
2.9%
21.1 1
 
2.9%
19.8 1
 
2.9%
42.6 1
 
2.9%
25.5 1
 
2.9%
25.7 1
 
2.9%
22.1 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
4.1 1
2.9%
5.6 1
2.9%
7.6 1
2.9%
8.4 1
2.9%
9.9 1
2.9%
10.6 2
5.9%
10.7 1
2.9%
11.3 1
2.9%
11.6 1
2.9%
11.7 1
2.9%
ValueCountFrequency (%)
45.4 1
2.9%
42.6 1
2.9%
30.0 1
2.9%
27.2 1
2.9%
27.1 1
2.9%
26.7 1
2.9%
26.4 1
2.9%
25.7 1
2.9%
25.5 1
2.9%
23.7 1
2.9%

MT_BOOK_READ_CO
Real number (ℝ)

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.191176
Minimum6.3
Maximum39.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:39.460146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile6.865
Q113.15
median15.5
Q320.775
95-th percentile27.215
Maximum39.7
Range33.4
Interquartile range (IQR)7.625

Descriptive statistics

Standard deviation6.9300124
Coefficient of variation (CV)0.40311449
Kurtosis2.0866242
Mean17.191176
Median Absolute Deviation (MAD)3.65
Skewness1.0752267
Sum584.5
Variance48.025071
MonotonicityNot monotonic
2023-12-10T19:07:39.755044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
13.3 3
 
8.8%
13.1 2
 
5.9%
14.8 2
 
5.9%
26.2 2
 
5.9%
20.8 1
 
2.9%
20.7 1
 
2.9%
39.7 1
 
2.9%
19.4 1
 
2.9%
16.6 1
 
2.9%
19.1 1
 
2.9%
Other values (19) 19
55.9%
ValueCountFrequency (%)
6.3 1
 
2.9%
6.8 1
 
2.9%
6.9 1
 
2.9%
10.5 1
 
2.9%
11.7 1
 
2.9%
11.8 1
 
2.9%
11.9 1
 
2.9%
13.1 2
5.9%
13.3 3
8.8%
14.3 1
 
2.9%
ValueCountFrequency (%)
39.7 1
2.9%
29.1 1
2.9%
26.2 2
5.9%
25.7 1
2.9%
23.3 1
2.9%
22.9 1
2.9%
21.6 1
2.9%
20.8 1
2.9%
20.7 1
2.9%
19.4 1
2.9%

QU_BOOK_READ_CO
Real number (ℝ)

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.791176
Minimum10.5
Maximum41.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:40.022706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.5
5-th percentile14.195
Q117.675
median25.75
Q331.225
95-th percentile36.6
Maximum41.2
Range30.7
Interquartile range (IQR)13.55

Descriptive statistics

Standard deviation8.1023142
Coefficient of variation (CV)0.3268225
Kurtosis-0.97607307
Mean24.791176
Median Absolute Deviation (MAD)6.45
Skewness0.17357963
Sum842.9
Variance65.647496
MonotonicityNot monotonic
2023-12-10T19:07:40.241373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
19.9 2
 
5.9%
16.3 2
 
5.9%
28.9 1
 
2.9%
32.1 1
 
2.9%
19.2 1
 
2.9%
34.0 1
 
2.9%
31.3 1
 
2.9%
27.2 1
 
2.9%
31.0 1
 
2.9%
32.5 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
10.5 1
2.9%
14.0 1
2.9%
14.3 1
2.9%
14.4 1
2.9%
16.3 2
5.9%
16.5 1
2.9%
17.5 1
2.9%
17.6 1
2.9%
17.9 1
2.9%
19.2 1
2.9%
ValueCountFrequency (%)
41.2 1
2.9%
40.5 1
2.9%
34.5 1
2.9%
34.0 1
2.9%
33.2 1
2.9%
32.5 1
2.9%
32.1 1
2.9%
31.9 1
2.9%
31.3 1
2.9%
31.0 1
2.9%

NTHG_BOOK_READ_CO
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.638235
Minimum0
Maximum70.9
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:40.492856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.805
Q19.75
median26.1
Q351.15
95-th percentile62.33
Maximum70.9
Range70.9
Interquartile range (IQR)41.4

Descriptive statistics

Standard deviation23.251875
Coefficient of variation (CV)0.75891693
Kurtosis-1.6456687
Mean30.638235
Median Absolute Deviation (MAD)19.25
Skewness0.19937728
Sum1041.7
Variance540.64971
MonotonicityNot monotonic
2023-12-10T19:07:40.759562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
9.6 2
 
5.9%
31.9 1
 
2.9%
9.7 1
 
2.9%
13.2 1
 
2.9%
0.0 1
 
2.9%
3.4 1
 
2.9%
10.7 1
 
2.9%
1.7 1
 
2.9%
10.8 1
 
2.9%
48.9 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
0.0 1
2.9%
1.7 1
2.9%
3.4 1
2.9%
4.8 1
2.9%
6.0 1
2.9%
7.9 1
2.9%
9.6 2
5.9%
9.7 1
2.9%
9.9 1
2.9%
10.3 1
2.9%
ValueCountFrequency (%)
70.9 1
2.9%
64.8 1
2.9%
61.0 1
2.9%
60.8 1
2.9%
60.7 1
2.9%
59.8 1
2.9%
55.3 1
2.9%
54.5 1
2.9%
51.9 1
2.9%
48.9 1
2.9%

DAILY_EBOOK_READ_CO
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6235294
Minimum0
Maximum8
Zeros3
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:41.093438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.925
median1.6
Q34.95
95-th percentile6.45
Maximum8
Range8
Interquartile range (IQR)4.025

Descriptive statistics

Standard deviation2.3271857
Coefficient of variation (CV)0.88704387
Kurtosis-0.66126146
Mean2.6235294
Median Absolute Deviation (MAD)1
Skewness0.79794773
Sum89.2
Variance5.4157932
MonotonicityNot monotonic
2023-12-10T19:07:41.490829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.0 4
 
11.8%
0.0 3
 
8.8%
1.5 2
 
5.9%
0.6 2
 
5.9%
0.4 2
 
5.9%
5.1 2
 
5.9%
1.4 1
 
2.9%
8.0 1
 
2.9%
4.5 1
 
2.9%
5.2 1
 
2.9%
Other values (15) 15
44.1%
ValueCountFrequency (%)
0.0 3
8.8%
0.4 2
5.9%
0.6 2
5.9%
0.8 1
 
2.9%
0.9 1
 
2.9%
1.0 4
11.8%
1.1 1
 
2.9%
1.4 1
 
2.9%
1.5 2
5.9%
1.7 1
 
2.9%
ValueCountFrequency (%)
8.0 1
2.9%
7.1 1
2.9%
6.1 1
2.9%
6.0 1
2.9%
5.9 1
2.9%
5.6 1
2.9%
5.2 1
2.9%
5.1 2
5.9%
4.5 1
2.9%
3.7 1
2.9%

WEEK_EBOOK_READ_CO
Real number (ℝ)

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8088235
Minimum0.3
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:41.750485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.765
Q11.575
median3.85
Q36.55
95-th percentile12.74
Maximum16
Range15.7
Interquartile range (IQR)4.975

Descriptive statistics

Standard deviation3.8336918
Coefficient of variation (CV)0.7972203
Kurtosis1.2583669
Mean4.8088235
Median Absolute Deviation (MAD)2.45
Skewness1.1788866
Sum163.5
Variance14.697193
MonotonicityNot monotonic
2023-12-10T19:07:41.998040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1.3 3
 
8.8%
5.3 2
 
5.9%
0.8 2
 
5.9%
6.9 1
 
2.9%
2.9 1
 
2.9%
5.8 1
 
2.9%
7.7 1
 
2.9%
5.4 1
 
2.9%
5.5 1
 
2.9%
3.7 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
0.3 1
 
2.9%
0.7 1
 
2.9%
0.8 2
5.9%
1.0 1
 
2.9%
1.3 3
8.8%
1.5 1
 
2.9%
1.8 1
 
2.9%
1.9 1
 
2.9%
2.3 1
 
2.9%
2.9 1
 
2.9%
ValueCountFrequency (%)
16.0 1
2.9%
13.0 1
2.9%
12.6 1
2.9%
9.9 1
2.9%
8.1 1
2.9%
7.7 1
2.9%
7.6 1
2.9%
6.9 1
2.9%
6.7 1
2.9%
6.1 1
2.9%

MT_EBOOK_READ_CO
Real number (ℝ)

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9235294
Minimum0.8
Maximum11.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:42.269269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.565
Q13.775
median6.3
Q37.475
95-th percentile11.375
Maximum11.7
Range10.9
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation3.0739432
Coefficient of variation (CV)0.51893777
Kurtosis-0.70331966
Mean5.9235294
Median Absolute Deviation (MAD)2.2
Skewness0.23323802
Sum201.4
Variance9.4491266
MonotonicityNot monotonic
2023-12-10T19:07:42.507989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
6.6 2
 
5.9%
7.4 2
 
5.9%
6.3 2
 
5.9%
4.1 2
 
5.9%
6.5 2
 
5.9%
11.7 2
 
5.9%
7.5 1
 
2.9%
5.1 1
 
2.9%
5.6 1
 
2.9%
5.5 1
 
2.9%
Other values (18) 18
52.9%
ValueCountFrequency (%)
0.8 1
2.9%
1.5 1
2.9%
1.6 1
2.9%
1.7 1
2.9%
2.2 1
2.9%
2.4 1
2.9%
2.5 1
2.9%
3.0 1
2.9%
3.7 1
2.9%
4.0 1
2.9%
ValueCountFrequency (%)
11.7 2
5.9%
11.2 1
2.9%
10.9 1
2.9%
9.5 1
2.9%
9.4 1
2.9%
8.3 1
2.9%
8.2 1
2.9%
7.5 1
2.9%
7.4 2
5.9%
7.0 1
2.9%

QU_EBOOK_READ_CO
Real number (ℝ)

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.773529
Minimum1.6
Maximum25.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:42.744303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6
5-th percentile2.13
Q13.75
median13.3
Q317.575
95-th percentile24.405
Maximum25.6
Range24
Interquartile range (IQR)13.825

Descriptive statistics

Standard deviation7.8386884
Coefficient of variation (CV)0.66578917
Kurtosis-1.3002874
Mean11.773529
Median Absolute Deviation (MAD)7.4
Skewness0.21261924
Sum400.3
Variance61.445036
MonotonicityNot monotonic
2023-12-10T19:07:42.962124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
13.9 2
 
5.9%
7.0 1
 
2.9%
24.3 1
 
2.9%
22.1 1
 
2.9%
24.6 1
 
2.9%
14.4 1
 
2.9%
16.9 1
 
2.9%
19.3 1
 
2.9%
20.7 1
 
2.9%
13.8 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
1.6 1
2.9%
2.0 1
2.9%
2.2 1
2.9%
2.4 1
2.9%
2.5 1
2.9%
2.6 1
2.9%
3.3 1
2.9%
3.6 1
2.9%
3.7 1
2.9%
3.9 1
2.9%
ValueCountFrequency (%)
25.6 1
2.9%
24.6 1
2.9%
24.3 1
2.9%
23.6 1
2.9%
22.1 1
2.9%
20.7 1
2.9%
19.3 1
2.9%
18.4 1
2.9%
17.8 1
2.9%
16.9 1
2.9%

NTHG_EBOOK_READ_CO
Real number (ℝ)

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.882353
Minimum45.4
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:43.181152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45.4
5-th percentile54.235
Q162.55
median75.65
Q389.525
95-th percentile93.915
Maximum95
Range49.6
Interquartile range (IQR)26.975

Descriptive statistics

Standard deviation14.307245
Coefficient of variation (CV)0.19106297
Kurtosis-1.0479149
Mean74.882353
Median Absolute Deviation (MAD)14.05
Skewness-0.15131058
Sum2546
Variance204.69725
MonotonicityNot monotonic
2023-12-10T19:07:43.408433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
68.8 2
 
5.9%
92.6 2
 
5.9%
61.6 2
 
5.9%
77.4 1
 
2.9%
75.1 1
 
2.9%
65.4 1
 
2.9%
57.2 1
 
2.9%
76.2 1
 
2.9%
56.3 1
 
2.9%
59.7 1
 
2.9%
Other values (21) 21
61.8%
ValueCountFrequency (%)
45.4 1
2.9%
50.4 1
2.9%
56.3 1
2.9%
57.2 1
2.9%
57.9 1
2.9%
59.7 1
2.9%
61.1 1
2.9%
61.6 2
5.9%
65.4 1
2.9%
67.1 1
2.9%
ValueCountFrequency (%)
95.0 1
2.9%
94.5 1
2.9%
93.6 1
2.9%
93.5 1
2.9%
92.7 1
2.9%
92.6 2
5.9%
89.9 1
2.9%
89.8 1
2.9%
88.7 1
2.9%
85.4 1
2.9%

DAILY_AUDIO_BOOK_READ_CO
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.45588235
Minimum0
Maximum3.3
Zeros17
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:43.619833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.7
95-th percentile1.54
Maximum3.3
Range3.3
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.69682882
Coefficient of variation (CV)1.5285277
Kurtosis7.6093495
Mean0.45588235
Median Absolute Deviation (MAD)0.1
Skewness2.4244559
Sum15.5
Variance0.48557041
MonotonicityNot monotonic
2023-12-10T19:07:43.854302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 17
50.0%
0.7 4
 
11.8%
0.3 3
 
8.8%
0.5 2
 
5.9%
1.1 2
 
5.9%
0.2 1
 
2.9%
1.4 1
 
2.9%
1.0 1
 
2.9%
1.8 1
 
2.9%
0.9 1
 
2.9%
ValueCountFrequency (%)
0.0 17
50.0%
0.2 1
 
2.9%
0.3 3
 
8.8%
0.5 2
 
5.9%
0.7 4
 
11.8%
0.9 1
 
2.9%
1.0 1
 
2.9%
1.1 2
 
5.9%
1.4 1
 
2.9%
1.8 1
 
2.9%
ValueCountFrequency (%)
3.3 1
 
2.9%
1.8 1
 
2.9%
1.4 1
 
2.9%
1.1 2
5.9%
1.0 1
 
2.9%
0.9 1
 
2.9%
0.7 4
11.8%
0.5 2
5.9%
0.3 3
8.8%
0.2 1
 
2.9%

WEEK_AUDIO_BOOK_READ_CO
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2705882
Minimum0
Maximum6.9
Zeros10
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:44.083564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.8
Q31.45
95-th percentile4.885
Maximum6.9
Range6.9
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.6564894
Coefficient of variation (CV)1.3037185
Kurtosis4.0148498
Mean1.2705882
Median Absolute Deviation (MAD)0.8
Skewness1.9916488
Sum43.2
Variance2.7439572
MonotonicityNot monotonic
2023-12-10T19:07:44.313936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 10
29.4%
1.3 3
 
8.8%
0.8 3
 
8.8%
0.9 2
 
5.9%
0.6 2
 
5.9%
0.2 2
 
5.9%
5.6 1
 
2.9%
1.1 1
 
2.9%
2.5 1
 
2.9%
6.9 1
 
2.9%
Other values (8) 8
23.5%
ValueCountFrequency (%)
0.0 10
29.4%
0.2 2
 
5.9%
0.4 1
 
2.9%
0.6 2
 
5.9%
0.8 3
 
8.8%
0.9 2
 
5.9%
1.0 1
 
2.9%
1.1 1
 
2.9%
1.3 3
 
8.8%
1.5 1
 
2.9%
ValueCountFrequency (%)
6.9 1
 
2.9%
5.6 1
 
2.9%
4.5 1
 
2.9%
3.0 1
 
2.9%
2.9 1
 
2.9%
2.5 1
 
2.9%
2.3 1
 
2.9%
1.8 1
 
2.9%
1.5 1
 
2.9%
1.3 3
8.8%

MT_AUDIO_BOOK_READ_CO
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2705882
Minimum0
Maximum13.7
Zeros3
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:44.524740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4
median1.7
Q33.175
95-th percentile5.14
Maximum13.7
Range13.7
Interquartile range (IQR)2.775

Descriptive statistics

Standard deviation2.5708776
Coefficient of variation (CV)1.1322518
Kurtosis11.260925
Mean2.2705882
Median Absolute Deviation (MAD)1.35
Skewness2.8154402
Sum77.2
Variance6.6094118
MonotonicityNot monotonic
2023-12-10T19:07:44.706306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.4 3
 
8.8%
0.0 3
 
8.8%
4.6 2
 
5.9%
0.3 2
 
5.9%
1.7 2
 
5.9%
1.6 2
 
5.9%
4.0 2
 
5.9%
0.2 2
 
5.9%
1.3 2
 
5.9%
2.1 1
 
2.9%
Other values (13) 13
38.2%
ValueCountFrequency (%)
0.0 3
8.8%
0.2 2
5.9%
0.3 2
5.9%
0.4 3
8.8%
0.7 1
 
2.9%
1.0 1
 
2.9%
1.3 2
5.9%
1.6 2
5.9%
1.7 2
5.9%
1.8 1
 
2.9%
ValueCountFrequency (%)
13.7 1
2.9%
5.4 1
2.9%
5.0 1
2.9%
4.6 2
5.9%
4.0 2
5.9%
3.4 1
2.9%
3.2 1
2.9%
3.1 1
2.9%
2.7 1
2.9%
2.6 1
2.9%

QU_AUDIO_BOOK_READ_CO
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2294118
Minimum0
Maximum21
Zeros4
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:45.291670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.85
median3.85
Q311.575
95-th percentile15.505
Maximum21
Range21
Interquartile range (IQR)10.725

Descriptive statistics

Standard deviation6.037134
Coefficient of variation (CV)0.96913389
Kurtosis-0.74833308
Mean6.2294118
Median Absolute Deviation (MAD)3.85
Skewness0.62342753
Sum211.8
Variance36.446988
MonotonicityNot monotonic
2023-12-10T19:07:45.501837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 4
 
11.8%
0.3 2
 
5.9%
12.0 2
 
5.9%
2.2 1
 
2.9%
8.3 1
 
2.9%
21.0 1
 
2.9%
14.7 1
 
2.9%
10.9 1
 
2.9%
9.5 1
 
2.9%
11.7 1
 
2.9%
Other values (19) 19
55.9%
ValueCountFrequency (%)
0.0 4
11.8%
0.3 2
5.9%
0.5 1
 
2.9%
0.6 1
 
2.9%
0.8 1
 
2.9%
1.0 1
 
2.9%
1.1 1
 
2.9%
1.2 1
 
2.9%
1.6 1
 
2.9%
1.8 1
 
2.9%
ValueCountFrequency (%)
21.0 1
2.9%
17.0 1
2.9%
14.7 1
2.9%
13.9 1
2.9%
13.4 1
2.9%
12.2 1
2.9%
12.0 2
5.9%
11.7 1
2.9%
11.2 1
2.9%
10.9 1
2.9%

NTHG_AUDIO_BOOK_READ_CO
Real number (ℝ)

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.761765
Minimum70
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:45.723932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile75.045
Q184.825
median93.65
Q398.3
95-th percentile99.44
Maximum100
Range30
Interquartile range (IQR)13.475

Descriptive statistics

Standard deviation9.0325007
Coefficient of variation (CV)0.10062749
Kurtosis-0.96723138
Mean89.761765
Median Absolute Deviation (MAD)5.95
Skewness-0.53785698
Sum3051.9
Variance81.58607
MonotonicityNot monotonic
2023-12-10T19:07:45.977129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
85.2 2
 
5.9%
99.3 2
 
5.9%
85.7 2
 
5.9%
98.8 2
 
5.9%
94.4 1
 
2.9%
81.4 1
 
2.9%
72.9 1
 
2.9%
76.2 1
 
2.9%
78.6 1
 
2.9%
85.6 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
70.0 1
2.9%
72.9 1
2.9%
76.2 1
2.9%
77.3 1
2.9%
78.3 1
2.9%
78.6 1
2.9%
80.2 1
2.9%
81.4 1
2.9%
84.8 1
2.9%
84.9 1
2.9%
ValueCountFrequency (%)
100.0 1
2.9%
99.7 1
2.9%
99.3 2
5.9%
99.2 1
2.9%
98.9 1
2.9%
98.8 2
5.9%
98.4 1
2.9%
98.0 1
2.9%
97.7 1
2.9%
96.6 1
2.9%

DAILY_NWSPR_READ_CO
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5176471
Minimum0
Maximum14.3
Zeros9
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:46.200421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median1.75
Q36.05
95-th percentile10.07
Maximum14.3
Range14.3
Interquartile range (IQR)5.95

Descriptive statistics

Standard deviation3.8523877
Coefficient of variation (CV)1.0951604
Kurtosis0.22645892
Mean3.5176471
Median Absolute Deviation (MAD)1.75
Skewness0.99170473
Sum119.6
Variance14.840891
MonotonicityNot monotonic
2023-12-10T19:07:46.439912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 9
26.5%
4.3 2
 
5.9%
0.7 2
 
5.9%
7.3 1
 
2.9%
1.9 1
 
2.9%
0.4 1
 
2.9%
0.6 1
 
2.9%
0.8 1
 
2.9%
1.2 1
 
2.9%
5.3 1
 
2.9%
Other values (14) 14
41.2%
ValueCountFrequency (%)
0.0 9
26.5%
0.4 1
 
2.9%
0.6 1
 
2.9%
0.7 2
 
5.9%
0.8 1
 
2.9%
0.9 1
 
2.9%
1.2 1
 
2.9%
1.6 1
 
2.9%
1.9 1
 
2.9%
2.9 1
 
2.9%
ValueCountFrequency (%)
14.3 1
2.9%
10.2 1
2.9%
10.0 1
2.9%
8.8 1
2.9%
8.6 1
2.9%
7.8 1
2.9%
7.3 1
2.9%
7.1 1
2.9%
6.3 1
2.9%
5.3 1
2.9%

WEEK_NWSPR_READ_CO
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3941176
Minimum0
Maximum15.4
Zeros2
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:46.774201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.715
Q12.95
median6
Q39.625
95-th percentile12.955
Maximum15.4
Range15.4
Interquartile range (IQR)6.675

Descriptive statistics

Standard deviation4.2033854
Coefficient of variation (CV)0.65738319
Kurtosis-0.75516858
Mean6.3941176
Median Absolute Deviation (MAD)3.3
Skewness0.36510933
Sum217.4
Variance17.668449
MonotonicityNot monotonic
2023-12-10T19:07:47.053148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 2
 
5.9%
6.0 2
 
5.9%
8.5 1
 
2.9%
3.9 1
 
2.9%
1.1 1
 
2.9%
11.8 1
 
2.9%
5.5 1
 
2.9%
1.8 1
 
2.9%
3.1 1
 
2.9%
3.3 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
0.0 2
5.9%
1.1 1
2.9%
1.6 1
2.9%
1.8 1
2.9%
2.2 1
2.9%
2.4 1
2.9%
2.8 1
2.9%
2.9 1
2.9%
3.1 1
2.9%
3.3 1
2.9%
ValueCountFrequency (%)
15.4 1
2.9%
15.1 1
2.9%
11.8 1
2.9%
11.5 1
2.9%
11.2 1
2.9%
10.8 1
2.9%
10.1 1
2.9%
9.8 1
2.9%
9.7 1
2.9%
9.4 1
2.9%

MT_NWSPR_READ_CO
Real number (ℝ)

Distinct25
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5205882
Minimum1.7
Maximum12.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:47.311832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.7
5-th percentile2.82
Q14.725
median6.3
Q38.575
95-th percentile10.97
Maximum12.1
Range10.4
Interquartile range (IQR)3.85

Descriptive statistics

Standard deviation2.5773817
Coefficient of variation (CV)0.39526829
Kurtosis-0.5273868
Mean6.5205882
Median Absolute Deviation (MAD)1.95
Skewness0.26873605
Sum221.7
Variance6.6428966
MonotonicityNot monotonic
2023-12-10T19:07:47.542610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
5.4 2
 
5.9%
8.5 2
 
5.9%
3.1 2
 
5.9%
4.3 2
 
5.9%
8.6 2
 
5.9%
7.0 2
 
5.9%
4.8 2
 
5.9%
6.4 2
 
5.9%
8.9 2
 
5.9%
4.6 1
 
2.9%
Other values (15) 15
44.1%
ValueCountFrequency (%)
1.7 1
2.9%
2.3 1
2.9%
3.1 2
5.9%
4.3 2
5.9%
4.4 1
2.9%
4.6 1
2.9%
4.7 1
2.9%
4.8 2
5.9%
4.9 1
2.9%
5.1 1
2.9%
ValueCountFrequency (%)
12.1 1
2.9%
11.1 1
2.9%
10.9 1
2.9%
10.0 1
2.9%
9.1 1
2.9%
8.9 2
5.9%
8.6 2
5.9%
8.5 2
5.9%
7.6 1
2.9%
7.1 1
2.9%

QU_NWSPR_READ_CO
Real number (ℝ)

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.917647
Minimum1
Maximum21.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:47.951527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.265
Q14.85
median12.35
Q314.9
95-th percentile20.685
Maximum21.9
Range20.9
Interquartile range (IQR)10.05

Descriptive statistics

Standard deviation6.383144
Coefficient of variation (CV)0.58466298
Kurtosis-1.1763668
Mean10.917647
Median Absolute Deviation (MAD)4.9
Skewness-0.090371422
Sum371.2
Variance40.744528
MonotonicityNot monotonic
2023-12-10T19:07:48.158859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
9.3 2
 
5.9%
17.2 2
 
5.9%
14.5 2
 
5.9%
1.8 2
 
5.9%
14.9 2
 
5.9%
12.9 1
 
2.9%
21.9 1
 
2.9%
17.5 1
 
2.9%
13.1 1
 
2.9%
17.1 1
 
2.9%
Other values (19) 19
55.9%
ValueCountFrequency (%)
1.0 1
2.9%
1.2 1
2.9%
1.3 1
2.9%
1.8 2
5.9%
3.3 1
2.9%
4.5 1
2.9%
4.7 1
2.9%
4.8 1
2.9%
5.0 1
2.9%
5.9 1
2.9%
ValueCountFrequency (%)
21.9 1
2.9%
21.4 1
2.9%
20.3 1
2.9%
18.7 1
2.9%
17.5 1
2.9%
17.2 2
5.9%
17.1 1
2.9%
14.9 2
5.9%
14.8 1
2.9%
14.5 2
5.9%

NTHG_NWSPR_READ_CO
Real number (ℝ)

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.658824
Minimum51.8
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:48.370497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.8
5-th percentile61.35
Q169.4
median72.55
Q377.125
95-th percentile81.86
Maximum91
Range39.2
Interquartile range (IQR)7.725

Descriptive statistics

Standard deviation7.0963976
Coefficient of variation (CV)0.09766739
Kurtosis2.2131058
Mean72.658824
Median Absolute Deviation (MAD)3.85
Skewness-0.4513589
Sum2470.4
Variance50.358859
MonotonicityNot monotonic
2023-12-10T19:07:48.602717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
69.4 3
 
8.8%
77.9 3
 
8.8%
76.6 2
 
5.9%
74.2 1
 
2.9%
71.0 1
 
2.9%
67.5 1
 
2.9%
71.5 1
 
2.9%
74.4 1
 
2.9%
78.6 1
 
2.9%
67.1 1
 
2.9%
Other values (19) 19
55.9%
ValueCountFrequency (%)
51.8 1
 
2.9%
58.1 1
 
2.9%
63.1 1
 
2.9%
64.8 1
 
2.9%
67.1 1
 
2.9%
67.5 1
 
2.9%
68.9 1
 
2.9%
69.4 3
8.8%
70.5 1
 
2.9%
70.7 1
 
2.9%
ValueCountFrequency (%)
91.0 1
 
2.9%
82.9 1
 
2.9%
81.3 1
 
2.9%
78.6 1
 
2.9%
78.5 1
 
2.9%
77.9 3
8.8%
77.3 1
 
2.9%
76.6 2
5.9%
75.9 1
 
2.9%
74.7 1
 
2.9%

DAILY_ITNNWP_READ_CO
Real number (ℝ)

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.397059
Minimum2.6
Maximum45.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:48.850580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile5.245
Q18.775
median13.5
Q323.75
95-th percentile38.92
Maximum45.7
Range43.1
Interquartile range (IQR)14.975

Descriptive statistics

Standard deviation11.473196
Coefficient of variation (CV)0.65949057
Kurtosis-0.0026621185
Mean17.397059
Median Absolute Deviation (MAD)5.1
Skewness1.0090688
Sum591.5
Variance131.63423
MonotonicityNot monotonic
2023-12-10T19:07:49.043384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
7.7 2
 
5.9%
15.7 2
 
5.9%
8.4 2
 
5.9%
31.9 1
 
2.9%
7.9 1
 
2.9%
17.1 1
 
2.9%
14.1 1
 
2.9%
3.1 1
 
2.9%
8.5 1
 
2.9%
2.6 1
 
2.9%
Other values (21) 21
61.8%
ValueCountFrequency (%)
2.6 1
2.9%
3.1 1
2.9%
6.4 1
2.9%
7.7 2
5.9%
7.9 1
2.9%
8.4 2
5.9%
8.5 1
2.9%
9.6 1
2.9%
9.9 1
2.9%
10.6 1
2.9%
ValueCountFrequency (%)
45.7 1
2.9%
41.0 1
2.9%
37.8 1
2.9%
36.3 1
2.9%
32.6 1
2.9%
32.0 1
2.9%
31.9 1
2.9%
26.1 1
2.9%
24.3 1
2.9%
22.1 1
2.9%

WEEK_ITNNWP_READ_CO
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.538235
Minimum6.1
Maximum44.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:49.277742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.1
5-th percentile8.765
Q116.275
median19.3
Q325.875
95-th percentile30.095
Maximum44.4
Range38.3
Interquartile range (IQR)9.6

Descriptive statistics

Standard deviation7.5593416
Coefficient of variation (CV)0.36806188
Kurtosis1.948383
Mean20.538235
Median Absolute Deviation (MAD)4.1
Skewness0.71190345
Sum698.3
Variance57.143645
MonotonicityNot monotonic
2023-12-10T19:07:49.600953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
26.7 1
 
2.9%
25.9 1
 
2.9%
19.2 1
 
2.9%
33.8 1
 
2.9%
27.3 1
 
2.9%
16.2 1
 
2.9%
26.6 1
 
2.9%
20.2 1
 
2.9%
19.4 1
 
2.9%
18.0 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
6.1 1
2.9%
8.7 1
2.9%
8.8 1
2.9%
9.4 1
2.9%
14.3 1
2.9%
15.0 1
2.9%
15.5 1
2.9%
16.1 1
2.9%
16.2 1
2.9%
16.5 1
2.9%
ValueCountFrequency (%)
44.4 1
2.9%
33.8 1
2.9%
28.1 1
2.9%
27.8 1
2.9%
27.3 1
2.9%
26.7 1
2.9%
26.6 1
2.9%
26.2 1
2.9%
25.9 1
2.9%
25.8 1
2.9%

MT_ITNNWP_READ_CO
Real number (ℝ)

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7764706
Minimum1
Maximum21.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:49.848687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.19
Q15.45
median10.1
Q313.975
95-th percentile16.675
Maximum21.1
Range20.1
Interquartile range (IQR)8.525

Descriptive statistics

Standard deviation4.9851938
Coefficient of variation (CV)0.50991753
Kurtosis-0.7041211
Mean9.7764706
Median Absolute Deviation (MAD)4.3
Skewness0.12436894
Sum332.4
Variance24.852157
MonotonicityNot monotonic
2023-12-10T19:07:50.131455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
11.3 3
 
8.8%
3.4 3
 
8.8%
14.4 2
 
5.9%
9.3 2
 
5.9%
15.8 1
 
2.9%
13.3 1
 
2.9%
14.6 1
 
2.9%
12.3 1
 
2.9%
9.2 1
 
2.9%
11.0 1
 
2.9%
Other values (18) 18
52.9%
ValueCountFrequency (%)
1.0 1
 
2.9%
2.8 1
 
2.9%
3.4 3
8.8%
3.6 1
 
2.9%
4.0 1
 
2.9%
4.6 1
 
2.9%
5.4 1
 
2.9%
5.6 1
 
2.9%
6.3 1
 
2.9%
7.3 1
 
2.9%
ValueCountFrequency (%)
21.1 1
2.9%
18.3 1
2.9%
15.8 1
2.9%
15.2 1
2.9%
14.6 1
2.9%
14.5 1
2.9%
14.4 2
5.9%
14.2 1
2.9%
13.3 1
2.9%
13.1 1
2.9%

QU_ITNNWP_READ_CO
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5970588
Minimum0
Maximum17.2
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:50.449846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.465
Q11.35
median7.65
Q313.15
95-th percentile15.93
Maximum17.2
Range17.2
Interquartile range (IQR)11.8

Descriptive statistics

Standard deviation5.9959322
Coefficient of variation (CV)0.78924389
Kurtosis-1.6873297
Mean7.5970588
Median Absolute Deviation (MAD)5.95
Skewness0.085276646
Sum258.3
Variance35.951203
MonotonicityNot monotonic
2023-12-10T19:07:50.702237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1.3 2
 
5.9%
2.3 2
 
5.9%
12.7 2
 
5.9%
14.4 2
 
5.9%
17.1 1
 
2.9%
12.5 1
 
2.9%
8.1 1
 
2.9%
15.3 1
 
2.9%
13.3 1
 
2.9%
14.0 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
0.0 1
2.9%
0.4 1
2.9%
0.5 1
2.9%
0.7 1
2.9%
0.8 1
2.9%
1.0 1
2.9%
1.1 1
2.9%
1.3 2
5.9%
1.5 1
2.9%
1.9 1
2.9%
ValueCountFrequency (%)
17.2 1
2.9%
17.1 1
2.9%
15.3 1
2.9%
14.4 2
5.9%
14.2 1
2.9%
14.0 1
2.9%
13.4 1
2.9%
13.3 1
2.9%
12.7 2
5.9%
12.5 1
2.9%

NTHG_ITNNWP_READ_CO
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.711765
Minimum22.1
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:50.925667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22.1
5-th percentile23.435
Q135.225
median41.45
Q355.525
95-th percentile66.58
Maximum79
Range56.9
Interquartile range (IQR)20.3

Descriptive statistics

Standard deviation14.404771
Coefficient of variation (CV)0.3221696
Kurtosis-0.44344089
Mean44.711765
Median Absolute Deviation (MAD)9.5
Skewness0.40939953
Sum1520.2
Variance207.49743
MonotonicityNot monotonic
2023-12-10T19:07:51.153322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
35.9 1
 
2.9%
35.1 1
 
2.9%
42.0 1
 
2.9%
24.1 1
 
2.9%
37.7 1
 
2.9%
45.8 1
 
2.9%
25.5 1
 
2.9%
40.6 1
 
2.9%
39.8 1
 
2.9%
44.8 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
22.1 1
2.9%
22.2 1
2.9%
24.1 1
2.9%
25.5 1
2.9%
27.2 1
2.9%
31.4 1
2.9%
33.8 1
2.9%
34.1 1
2.9%
35.1 1
2.9%
35.6 1
2.9%
ValueCountFrequency (%)
79.0 1
2.9%
69.7 1
2.9%
64.9 1
2.9%
63.9 1
2.9%
62.7 1
2.9%
61.4 1
2.9%
59.4 1
2.9%
57.2 1
2.9%
55.7 1
2.9%
55.0 1
2.9%

DAILY_MGZN_READ_CO
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.37941176
Minimum0
Maximum1.8
Zeros16
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:51.341055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.15
Q30.6
95-th percentile1.4
Maximum1.8
Range1.8
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.51919484
Coefficient of variation (CV)1.3684205
Kurtosis0.57852023
Mean0.37941176
Median Absolute Deviation (MAD)0.15
Skewness1.3050166
Sum12.9
Variance0.26956328
MonotonicityNot monotonic
2023-12-10T19:07:51.523334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 16
47.1%
0.2 3
 
8.8%
0.3 3
 
8.8%
0.6 2
 
5.9%
1.1 2
 
5.9%
1.4 2
 
5.9%
0.1 1
 
2.9%
1.8 1
 
2.9%
0.4 1
 
2.9%
1.2 1
 
2.9%
Other values (2) 2
 
5.9%
ValueCountFrequency (%)
0.0 16
47.1%
0.1 1
 
2.9%
0.2 3
 
8.8%
0.3 3
 
8.8%
0.4 1
 
2.9%
0.6 2
 
5.9%
0.7 1
 
2.9%
1.0 1
 
2.9%
1.1 2
 
5.9%
1.2 1
 
2.9%
ValueCountFrequency (%)
1.8 1
 
2.9%
1.4 2
5.9%
1.2 1
 
2.9%
1.1 2
5.9%
1.0 1
 
2.9%
0.7 1
 
2.9%
0.6 2
5.9%
0.4 1
 
2.9%
0.3 3
8.8%
0.2 3
8.8%

WEEK_MGZN_READ_CO
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6441176
Minimum0
Maximum4.8
Zeros4
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:51.744589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.85
median1.5
Q32.175
95-th percentile4.17
Maximum4.8
Range4.8
Interquartile range (IQR)1.325

Descriptive statistics

Standard deviation1.2103571
Coefficient of variation (CV)0.73617427
Kurtosis0.73762595
Mean1.6441176
Median Absolute Deviation (MAD)0.7
Skewness0.92276019
Sum55.9
Variance1.4649643
MonotonicityNot monotonic
2023-12-10T19:07:51.949652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 4
 
11.8%
1.1 3
 
8.8%
1.9 2
 
5.9%
2.2 2
 
5.9%
1.0 2
 
5.9%
0.8 2
 
5.9%
0.7 2
 
5.9%
2.0 2
 
5.9%
1.5 2
 
5.9%
1.2 2
 
5.9%
Other values (11) 11
32.4%
ValueCountFrequency (%)
0.0 4
11.8%
0.3 1
 
2.9%
0.7 2
5.9%
0.8 2
5.9%
1.0 2
5.9%
1.1 3
8.8%
1.2 2
5.9%
1.5 2
5.9%
1.6 1
 
2.9%
1.7 1
 
2.9%
ValueCountFrequency (%)
4.8 1
2.9%
4.3 1
2.9%
4.1 1
2.9%
3.6 1
2.9%
2.7 1
2.9%
2.5 1
2.9%
2.3 1
2.9%
2.2 2
5.9%
2.1 1
2.9%
2.0 2
5.9%

MT_MGZN_READ_CO
Real number (ℝ)

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5970588
Minimum0.3
Maximum21.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:52.161393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.865
Q14.025
median6.55
Q310.125
95-th percentile16.335
Maximum21.1
Range20.8
Interquartile range (IQR)6.1

Descriptive statistics

Standard deviation5.0001506
Coefficient of variation (CV)0.65816926
Kurtosis0.44133799
Mean7.5970588
Median Absolute Deviation (MAD)3.15
Skewness0.87284197
Sum258.3
Variance25.001506
MonotonicityNot monotonic
2023-12-10T19:07:52.391238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
15.6 2
 
5.9%
10.2 2
 
5.9%
7.4 2
 
5.9%
8.2 2
 
5.9%
3.9 1
 
2.9%
5.4 1
 
2.9%
3.3 1
 
2.9%
6.6 1
 
2.9%
9.6 1
 
2.9%
5.0 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
0.3 1
2.9%
0.8 1
2.9%
0.9 1
2.9%
2.4 1
2.9%
2.7 1
2.9%
3.2 1
2.9%
3.3 1
2.9%
3.7 1
2.9%
3.9 1
2.9%
4.4 1
2.9%
ValueCountFrequency (%)
21.1 1
2.9%
17.7 1
2.9%
15.6 2
5.9%
13.7 1
2.9%
12.9 1
2.9%
11.9 1
2.9%
10.2 2
5.9%
9.9 1
2.9%
9.6 1
2.9%
8.2 2
5.9%

QU_MGZN_READ_CO
Real number (ℝ)

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.902941
Minimum0.8
Maximum34.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:52.803003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.59
Q17.9
median17.25
Q321.9
95-th percentile32.01
Maximum34.1
Range33.3
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.8898627
Coefficient of variation (CV)0.62188891
Kurtosis-0.96010917
Mean15.902941
Median Absolute Deviation (MAD)7.45
Skewness0.012166518
Sum540.7
Variance97.809385
MonotonicityNot monotonic
2023-12-10T19:07:53.031214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
21.9 2
 
5.9%
20.2 2
 
5.9%
24.7 2
 
5.9%
12.4 1
 
2.9%
20.1 1
 
2.9%
17.1 1
 
2.9%
21.8 1
 
2.9%
15.3 1
 
2.9%
28.4 1
 
2.9%
24.1 1
 
2.9%
Other values (21) 21
61.8%
ValueCountFrequency (%)
0.8 1
2.9%
1.2 1
2.9%
1.8 1
2.9%
1.9 1
2.9%
2.2 1
2.9%
2.9 1
2.9%
3.6 1
2.9%
5.4 1
2.9%
7.4 1
2.9%
9.4 1
2.9%
ValueCountFrequency (%)
34.1 1
2.9%
33.7 1
2.9%
31.1 1
2.9%
28.4 1
2.9%
27.8 1
2.9%
24.7 2
5.9%
24.1 1
2.9%
21.9 2
5.9%
21.8 1
2.9%
20.2 2
5.9%

NTHG_MGZN_READ_CO
Real number (ℝ)

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.479412
Minimum42.9
Maximum97.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:53.342957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.9
5-th percentile50.935
Q166.325
median72
Q388.3
95-th percentile94.515
Maximum97.6
Range54.7
Interquartile range (IQR)21.975

Descriptive statistics

Standard deviation14.580722
Coefficient of variation (CV)0.19576848
Kurtosis-0.6820545
Mean74.479412
Median Absolute Deviation (MAD)9.7
Skewness-0.179042
Sum2532.3
Variance212.59744
MonotonicityNot monotonic
2023-12-10T19:07:53.689346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
81.2 2
 
5.9%
93.5 2
 
5.9%
71.2 1
 
2.9%
42.9 1
 
2.9%
57.0 1
 
2.9%
72.2 1
 
2.9%
61.0 1
 
2.9%
66.1 1
 
2.9%
67.0 1
 
2.9%
62.2 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
42.9 1
2.9%
48.4 1
2.9%
52.3 1
2.9%
54.5 1
2.9%
57.0 1
2.9%
61.0 1
2.9%
62.2 1
2.9%
65.3 1
2.9%
66.1 1
2.9%
67.0 1
2.9%
ValueCountFrequency (%)
97.6 1
2.9%
96.4 1
2.9%
93.5 2
5.9%
93.2 1
2.9%
93.0 1
2.9%
91.2 1
2.9%
89.6 1
2.9%
89.5 1
2.9%
84.7 1
2.9%
81.6 1
2.9%

DAILY_WEBZN_READ_CO
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.77352941
Minimum0
Maximum4.3
Zeros15
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:53.908879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.4
Q31.275
95-th percentile3.405
Maximum4.3
Range4.3
Interquartile range (IQR)1.275

Descriptive statistics

Standard deviation1.1111852
Coefficient of variation (CV)1.4365132
Kurtosis3.104213
Mean0.77352941
Median Absolute Deviation (MAD)0.4
Skewness1.8515229
Sum26.3
Variance1.2347326
MonotonicityNot monotonic
2023-12-10T19:07:54.266136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 15
44.1%
0.6 4
 
11.8%
0.4 3
 
8.8%
1.5 2
 
5.9%
0.2 1
 
2.9%
0.8 1
 
2.9%
1.3 1
 
2.9%
2.0 1
 
2.9%
4.3 1
 
2.9%
3.6 1
 
2.9%
Other values (4) 4
 
11.8%
ValueCountFrequency (%)
0.0 15
44.1%
0.2 1
 
2.9%
0.4 3
 
8.8%
0.6 4
 
11.8%
0.8 1
 
2.9%
1.2 1
 
2.9%
1.3 1
 
2.9%
1.4 1
 
2.9%
1.5 2
 
5.9%
1.6 1
 
2.9%
ValueCountFrequency (%)
4.3 1
2.9%
3.6 1
2.9%
3.3 1
2.9%
2.0 1
2.9%
1.6 1
2.9%
1.5 2
5.9%
1.4 1
2.9%
1.3 1
2.9%
1.2 1
2.9%
0.8 1
2.9%

WEEK_WEBZN_READ_CO
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7323529
Minimum0
Maximum7.5
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:54.494773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q11.25
median2.4
Q33.775
95-th percentile6.15
Maximum7.5
Range7.5
Interquartile range (IQR)2.525

Descriptive statistics

Standard deviation1.9271144
Coefficient of variation (CV)0.70529484
Kurtosis-0.05381874
Mean2.7323529
Median Absolute Deviation (MAD)1.35
Skewness0.68896144
Sum92.9
Variance3.7137701
MonotonicityNot monotonic
2023-12-10T19:07:54.740150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3.5 3
 
8.8%
0.8 3
 
8.8%
2.3 2
 
5.9%
0.2 2
 
5.9%
1.5 2
 
5.9%
1.7 2
 
5.9%
2.2 1
 
2.9%
3.1 1
 
2.9%
3.3 1
 
2.9%
2.7 1
 
2.9%
Other values (16) 16
47.1%
ValueCountFrequency (%)
0.0 1
 
2.9%
0.2 2
5.9%
0.6 1
 
2.9%
0.8 3
8.8%
0.9 1
 
2.9%
1.2 1
 
2.9%
1.4 1
 
2.9%
1.5 2
5.9%
1.7 2
5.9%
2.2 1
 
2.9%
ValueCountFrequency (%)
7.5 1
2.9%
6.8 1
2.9%
5.8 1
2.9%
5.5 1
2.9%
5.4 1
2.9%
4.2 1
2.9%
4.1 1
2.9%
3.9 1
2.9%
3.8 1
2.9%
3.7 1
2.9%

MT_WEBZN_READ_CO
Real number (ℝ)

Distinct25
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8088235
Minimum0.3
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:55.025857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.56
Q11.975
median4.6
Q36.975
95-th percentile11.155
Maximum12
Range11.7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.5253513
Coefficient of variation (CV)0.73310057
Kurtosis-0.72627881
Mean4.8088235
Median Absolute Deviation (MAD)2.55
Skewness0.56088945
Sum163.5
Variance12.428102
MonotonicityNot monotonic
2023-12-10T19:07:55.627831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2.2 3
 
8.8%
2.7 2
 
5.9%
0.3 2
 
5.9%
0.8 2
 
5.9%
6.2 2
 
5.9%
5.2 2
 
5.9%
7.7 2
 
5.9%
12.0 2
 
5.9%
9.4 1
 
2.9%
5.0 1
 
2.9%
Other values (15) 15
44.1%
ValueCountFrequency (%)
0.3 2
5.9%
0.7 1
 
2.9%
0.8 2
5.9%
0.9 1
 
2.9%
1.6 1
 
2.9%
1.8 1
 
2.9%
1.9 1
 
2.9%
2.2 3
8.8%
2.3 1
 
2.9%
2.7 2
5.9%
ValueCountFrequency (%)
12.0 2
5.9%
10.7 1
2.9%
10.6 1
2.9%
9.4 1
2.9%
8.8 1
2.9%
7.7 2
5.9%
7.0 1
2.9%
6.9 1
2.9%
6.2 2
5.9%
6.0 1
2.9%

QU_WEBZN_READ_CO
Real number (ℝ)

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.202941
Minimum0.2
Maximum45.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:55.845589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.365
Q12.1
median7.65
Q317.7
95-th percentile26.67
Maximum45.8
Range45.6
Interquartile range (IQR)15.6

Descriptive statistics

Standard deviation10.851211
Coefficient of variation (CV)0.96860376
Kurtosis1.3227752
Mean11.202941
Median Absolute Deviation (MAD)7.2
Skewness1.0585303
Sum380.9
Variance117.74878
MonotonicityNot monotonic
2023-12-10T19:07:56.080509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.8 3
 
8.8%
2.1 2
 
5.9%
4.8 2
 
5.9%
3.3 1
 
2.9%
15.1 1
 
2.9%
17.8 1
 
2.9%
26.6 1
 
2.9%
19.1 1
 
2.9%
17.2 1
 
2.9%
26.8 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
0.2 1
 
2.9%
0.3 1
 
2.9%
0.4 1
 
2.9%
0.7 1
 
2.9%
0.8 3
8.8%
1.2 1
 
2.9%
2.1 2
5.9%
2.7 1
 
2.9%
3.0 1
 
2.9%
3.2 1
 
2.9%
ValueCountFrequency (%)
45.8 1
2.9%
26.8 1
2.9%
26.6 1
2.9%
24.1 1
2.9%
23.7 1
2.9%
20.2 1
2.9%
20.1 1
2.9%
19.1 1
2.9%
17.8 1
2.9%
17.4 1
2.9%

NTHG_WEBZN_READ_CO
Real number (ℝ)

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.470588
Minimum34.7
Maximum98.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:56.301821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.7
5-th percentile58.265
Q169.325
median82.25
Q395.025
95-th percentile97.6
Maximum98.5
Range63.8
Interquartile range (IQR)25.7

Descriptive statistics

Standard deviation15.81433
Coefficient of variation (CV)0.19652311
Kurtosis0.19998405
Mean80.470588
Median Absolute Deviation (MAD)13.25
Skewness-0.72008941
Sum2736
Variance250.09305
MonotonicityNot monotonic
2023-12-10T19:07:56.613681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
70.0 2
 
5.9%
97.6 2
 
5.9%
91.6 1
 
2.9%
74.6 1
 
2.9%
34.7 1
 
2.9%
65.6 1
 
2.9%
69.1 1
 
2.9%
58.2 1
 
2.9%
66.0 1
 
2.9%
76.6 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
34.7 1
2.9%
58.2 1
2.9%
58.3 1
2.9%
62.5 1
2.9%
65.5 1
2.9%
65.6 1
2.9%
66.0 1
2.9%
68.9 1
2.9%
69.1 1
2.9%
70.0 2
5.9%
ValueCountFrequency (%)
98.5 1
2.9%
97.6 2
5.9%
97.5 1
2.9%
97.2 1
2.9%
97.0 1
2.9%
96.3 1
2.9%
95.8 1
2.9%
95.6 1
2.9%
93.3 1
2.9%
92.9 1
2.9%

DAILY_CRTUN_BOOK_READ_CO
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2441176
Minimum0
Maximum15.7
Zeros11
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:56.863398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.05
Q38.275
95-th percentile12.185
Maximum15.7
Range15.7
Interquartile range (IQR)8.275

Descriptive statistics

Standard deviation4.7480261
Coefficient of variation (CV)1.118731
Kurtosis-0.69416839
Mean4.2441176
Median Absolute Deviation (MAD)2.05
Skewness0.7386712
Sum144.3
Variance22.543752
MonotonicityNot monotonic
2023-12-10T19:07:57.096846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 11
32.4%
0.6 2
 
5.9%
8.7 2
 
5.9%
15.7 1
 
2.9%
4.0 1
 
2.9%
8.3 1
 
2.9%
8.2 1
 
2.9%
12.9 1
 
2.9%
5.4 1
 
2.9%
3.1 1
 
2.9%
Other values (12) 12
35.3%
ValueCountFrequency (%)
0.0 11
32.4%
0.3 1
 
2.9%
0.4 1
 
2.9%
0.5 1
 
2.9%
0.6 2
 
5.9%
1.0 1
 
2.9%
3.1 1
 
2.9%
4.0 1
 
2.9%
4.2 1
 
2.9%
4.4 1
 
2.9%
ValueCountFrequency (%)
15.7 1
2.9%
12.9 1
2.9%
11.8 1
2.9%
11.5 1
2.9%
9.2 1
2.9%
9.0 1
2.9%
8.7 2
5.9%
8.3 1
2.9%
8.2 1
2.9%
8.0 1
2.9%

WEEK_CRTUN_BOOK_READ_CO
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8205882
Minimum0
Maximum25.2
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:57.350386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q10.725
median2.65
Q313.725
95-th percentile19.725
Maximum25.2
Range25.2
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9044207
Coefficient of variation (CV)1.0107195
Kurtosis-1.1642247
Mean7.8205882
Median Absolute Deviation (MAD)2.5
Skewness0.52225238
Sum265.9
Variance62.479866
MonotonicityNot monotonic
2023-12-10T19:07:57.686043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.4 3
 
8.8%
0.3 3
 
8.8%
0.9 2
 
5.9%
13.5 2
 
5.9%
1.9 1
 
2.9%
16.1 1
 
2.9%
11.8 1
 
2.9%
22.0 1
 
2.9%
11.4 1
 
2.9%
25.2 1
 
2.9%
Other values (18) 18
52.9%
ValueCountFrequency (%)
0.0 1
 
2.9%
0.3 3
8.8%
0.4 3
8.8%
0.5 1
 
2.9%
0.7 1
 
2.9%
0.8 1
 
2.9%
0.9 2
5.9%
1.3 1
 
2.9%
1.4 1
 
2.9%
1.5 1
 
2.9%
ValueCountFrequency (%)
25.2 1
2.9%
22.0 1
2.9%
18.5 1
2.9%
18.4 1
2.9%
17.7 1
2.9%
17.3 1
2.9%
16.1 1
2.9%
14.2 1
2.9%
13.8 1
2.9%
13.5 2
5.9%

MT_CRTUN_BOOK_READ_CO
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.067647
Minimum0
Maximum27.1
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:57.947981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.365
Q12
median9.65
Q319.075
95-th percentile25.215
Maximum27.1
Range27.1
Interquartile range (IQR)17.075

Descriptive statistics

Standard deviation9.4883252
Coefficient of variation (CV)0.85730284
Kurtosis-1.6678093
Mean11.067647
Median Absolute Deviation (MAD)8.05
Skewness0.21228761
Sum376.3
Variance90.028316
MonotonicityNot monotonic
2023-12-10T19:07:58.271338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
2.5 2
 
5.9%
2.0 2
 
5.9%
17.7 1
 
2.9%
20.3 1
 
2.9%
19.3 1
 
2.9%
24.9 1
 
2.9%
14.9 1
 
2.9%
17.5 1
 
2.9%
3.3 1
 
2.9%
16.8 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
0.0 1
2.9%
0.3 1
2.9%
0.4 1
2.9%
0.5 1
2.9%
0.9 1
2.9%
1.6 1
2.9%
1.8 1
2.9%
1.9 1
2.9%
2.0 2
5.9%
2.5 2
5.9%
ValueCountFrequency (%)
27.1 1
2.9%
25.8 1
2.9%
24.9 1
2.9%
24.5 1
2.9%
22.1 1
2.9%
21.3 1
2.9%
20.3 1
2.9%
19.8 1
2.9%
19.3 1
2.9%
18.4 1
2.9%

QU_CRTUN_BOOK_READ_CO
Real number (ℝ)

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.391176
Minimum0.3
Maximum46.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:58.489405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.66
Q12.2
median16
Q331.05
95-th percentile36.02
Maximum46.1
Range45.8
Interquartile range (IQR)28.85

Descriptive statistics

Standard deviation15.319553
Coefficient of variation (CV)0.88088078
Kurtosis-1.7506502
Mean17.391176
Median Absolute Deviation (MAD)14.2
Skewness0.15398711
Sum591.3
Variance234.68871
MonotonicityNot monotonic
2023-12-10T19:07:58.712683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
34.0 2
 
5.9%
29.4 1
 
2.9%
29.8 1
 
2.9%
33.5 1
 
2.9%
46.1 1
 
2.9%
26.3 1
 
2.9%
32.9 1
 
2.9%
24.8 1
 
2.9%
7.2 1
 
2.9%
3.7 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
0.3 1
2.9%
0.4 1
2.9%
0.8 1
2.9%
1.0 1
2.9%
1.2 1
2.9%
1.3 1
2.9%
1.6 1
2.9%
1.9 1
2.9%
2.0 1
2.9%
2.8 1
2.9%
ValueCountFrequency (%)
46.1 1
2.9%
38.1 1
2.9%
34.9 1
2.9%
34.1 1
2.9%
34.0 2
5.9%
33.5 1
2.9%
32.9 1
2.9%
31.3 1
2.9%
30.3 1
2.9%
30.0 1
2.9%

NTHG_CRTUN_BOOK_READ_CO
Real number (ℝ)

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.458824
Minimum10.8
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:58.920146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.8
5-th percentile17.855
Q127.4
median59.4
Q394.7
95-th percentile97.27
Maximum99
Range88.2
Interquartile range (IQR)67.3

Descriptive statistics

Standard deviation35.370996
Coefficient of variation (CV)0.5948822
Kurtosis-2.0414873
Mean59.458824
Median Absolute Deviation (MAD)34.7
Skewness-0.02678725
Sum2021.6
Variance1251.1073
MonotonicityNot monotonic
2023-12-10T19:07:59.138844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
28.9 2
 
5.9%
94.7 2
 
5.9%
27.4 2
 
5.9%
18.5 1
 
2.9%
17.4 1
 
2.9%
25.6 1
 
2.9%
18.1 1
 
2.9%
23.9 1
 
2.9%
26.3 1
 
2.9%
28.0 1
 
2.9%
Other values (21) 21
61.8%
ValueCountFrequency (%)
10.8 1
2.9%
17.4 1
2.9%
18.1 1
2.9%
18.5 1
2.9%
22.5 1
2.9%
23.9 1
2.9%
25.6 1
2.9%
26.3 1
2.9%
27.4 2
5.9%
28.0 1
2.9%
ValueCountFrequency (%)
99.0 1
2.9%
97.4 1
2.9%
97.2 1
2.9%
97.1 1
2.9%
96.8 1
2.9%
95.2 1
2.9%
95.1 1
2.9%
94.9 1
2.9%
94.7 2
5.9%
94.4 1
2.9%

DAILY_WEB_CRTUN_READ_CO
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.267647
Minimum0
Maximum50
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:59.365243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.22
Q14.575
median16
Q335.725
95-th percentile43.335
Maximum50
Range50
Interquartile range (IQR)31.15

Descriptive statistics

Standard deviation16.875834
Coefficient of variation (CV)0.83264889
Kurtosis-1.6564842
Mean20.267647
Median Absolute Deviation (MAD)14.4
Skewness0.2072029
Sum689.1
Variance284.79377
MonotonicityNot monotonic
2023-12-10T19:07:59.608681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7.7 2
 
5.9%
34.9 2
 
5.9%
38.7 2
 
5.9%
1.6 2
 
5.9%
5.9 1
 
2.9%
40.5 1
 
2.9%
39.3 1
 
2.9%
36.0 1
 
2.9%
48.6 1
 
2.9%
28.0 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
0.0 1
2.9%
0.7 1
2.9%
1.5 1
2.9%
1.6 2
5.9%
2.7 1
2.9%
2.8 1
2.9%
3.2 1
2.9%
4.4 1
2.9%
5.1 1
2.9%
5.9 1
2.9%
ValueCountFrequency (%)
50.0 1
2.9%
48.6 1
2.9%
40.5 1
2.9%
39.3 1
2.9%
39.0 1
2.9%
38.7 2
5.9%
36.6 1
2.9%
36.0 1
2.9%
34.9 2
5.9%
34.0 1
2.9%

WEEK_WEB_CRTUN_READ_CO
Real number (ℝ)

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.376471
Minimum2
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:07:59.856084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.43
Q15.425
median16.15
Q325.875
95-th percentile34.34
Maximum35
Range33
Interquartile range (IQR)20.45

Descriptive statistics

Standard deviation11.508523
Coefficient of variation (CV)0.70274744
Kurtosis-1.6120913
Mean16.376471
Median Absolute Deviation (MAD)10.2
Skewness0.13314392
Sum556.8
Variance132.4461
MonotonicityNot monotonic
2023-12-10T19:08:00.117403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
26.5 2
 
5.9%
8.3 1
 
2.9%
23.2 1
 
2.9%
32.3 1
 
2.9%
23.5 1
 
2.9%
23.6 1
 
2.9%
25.9 1
 
2.9%
26.2 1
 
2.9%
34.6 1
 
2.9%
9.2 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
2.0 1
2.9%
2.3 1
2.9%
2.5 1
2.9%
2.7 1
2.9%
3.1 1
2.9%
3.3 1
2.9%
3.4 1
2.9%
4.9 1
2.9%
5.3 1
2.9%
5.8 1
2.9%
ValueCountFrequency (%)
35.0 1
2.9%
34.6 1
2.9%
34.2 1
2.9%
32.3 1
2.9%
29.3 1
2.9%
26.5 2
5.9%
26.2 1
2.9%
25.9 1
2.9%
25.8 1
2.9%
24.9 1
2.9%

MT_WEB_CRTUN_READ_CO
Real number (ℝ)

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0852941
Minimum0.7
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:08:00.358876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7
5-th percentile1.625
Q13.575
median6.05
Q38.525
95-th percentile11.21
Maximum13
Range12.3
Interquartile range (IQR)4.95

Descriptive statistics

Standard deviation3.1579752
Coefficient of variation (CV)0.51895195
Kurtosis-0.64172861
Mean6.0852941
Median Absolute Deviation (MAD)2.55
Skewness0.17092895
Sum206.9
Variance9.9728075
MonotonicityNot monotonic
2023-12-10T19:08:00.601301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2.0 2
 
5.9%
8.6 2
 
5.9%
6.0 2
 
5.9%
6.1 1
 
2.9%
13.0 1
 
2.9%
4.8 1
 
2.9%
11.6 1
 
2.9%
7.3 1
 
2.9%
8.8 1
 
2.9%
11.0 1
 
2.9%
Other values (21) 21
61.8%
ValueCountFrequency (%)
0.7 1
2.9%
1.3 1
2.9%
1.8 1
2.9%
2.0 2
5.9%
2.3 1
2.9%
2.6 1
2.9%
2.7 1
2.9%
3.4 1
2.9%
4.1 1
2.9%
4.6 1
2.9%
ValueCountFrequency (%)
13.0 1
2.9%
11.6 1
2.9%
11.0 1
2.9%
10.0 1
2.9%
9.6 1
2.9%
9.1 1
2.9%
8.8 1
2.9%
8.6 2
5.9%
8.3 1
2.9%
7.7 1
2.9%

QU_WEB_CRTUN_READ_CO
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8647059
Minimum0
Maximum17.8
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:08:00.819753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.765
Q11.45
median6.05
Q39.25
95-th percentile13.01
Maximum17.8
Range17.8
Interquartile range (IQR)7.8

Descriptive statistics

Standard deviation4.4635821
Coefficient of variation (CV)0.76109223
Kurtosis-0.0096974474
Mean5.8647059
Median Absolute Deviation (MAD)3.85
Skewness0.65724439
Sum199.4
Variance19.923565
MonotonicityNot monotonic
2023-12-10T19:08:01.033413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.4 3
 
8.8%
7.6 2
 
5.9%
9.6 2
 
5.9%
1.1 2
 
5.9%
7.3 2
 
5.9%
10.1 2
 
5.9%
7.0 2
 
5.9%
4.0 1
 
2.9%
5.2 1
 
2.9%
9.8 1
 
2.9%
Other values (16) 16
47.1%
ValueCountFrequency (%)
0.0 1
 
2.9%
0.7 1
 
2.9%
0.8 1
 
2.9%
1.1 2
5.9%
1.2 1
 
2.9%
1.4 3
8.8%
1.6 1
 
2.9%
2.1 1
 
2.9%
2.4 1
 
2.9%
2.5 1
 
2.9%
ValueCountFrequency (%)
17.8 1
2.9%
14.7 1
2.9%
12.1 1
2.9%
10.7 1
2.9%
10.1 2
5.9%
9.8 1
2.9%
9.6 2
5.9%
8.2 1
2.9%
7.6 2
5.9%
7.3 2
5.9%

NTHG_WEB_CRTUN_READ_CO
Real number (ℝ)

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.385294
Minimum11.4
Maximum92.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-10T19:08:01.277164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.4
5-th percentile13.08
Q120.85
median50.3
Q383.225
95-th percentile91.595
Maximum92.8
Range81.4
Interquartile range (IQR)62.375

Descriptive statistics

Standard deviation32.911269
Coefficient of variation (CV)0.6404803
Kurtosis-2.0018634
Mean51.385294
Median Absolute Deviation (MAD)31.35
Skewness0.026660979
Sum1747.1
Variance1083.1516
MonotonicityNot monotonic
2023-12-10T19:08:01.520245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
22.6 2
 
5.9%
91.0 2
 
5.9%
18.6 1
 
2.9%
13.5 1
 
2.9%
21.3 1
 
2.9%
21.7 1
 
2.9%
22.8 1
 
2.9%
23.4 1
 
2.9%
15.8 1
 
2.9%
25.1 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
11.4 1
2.9%
12.3 1
2.9%
13.5 1
2.9%
14.1 1
2.9%
15.8 1
2.9%
18.6 1
2.9%
18.8 1
2.9%
19.1 1
2.9%
20.7 1
2.9%
21.3 1
2.9%
ValueCountFrequency (%)
92.8 1
2.9%
92.7 1
2.9%
91.0 2
5.9%
88.0 1
2.9%
86.5 1
2.9%
86.0 1
2.9%
84.7 1
2.9%
83.6 1
2.9%
82.1 1
2.9%
78.9 1
2.9%

AGRDE_SE_NM
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
성인
17 
학생
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성인
2nd row성인
3rd row성인
4th row성인
5th row성인

Common Values

ValueCountFrequency (%)
성인 17
50.0%
학생 17
50.0%

Length

2023-12-10T19:08:01.797648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:08:01.971388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성인 17
50.0%
학생 17
50.0%

Sample

AREA_NMDAILY_BOOK_READ_COWEEK_BOOK_READ_COMT_BOOK_READ_COQU_BOOK_READ_CONTHG_BOOK_READ_CODAILY_EBOOK_READ_COWEEK_EBOOK_READ_COMT_EBOOK_READ_COQU_EBOOK_READ_CONTHG_EBOOK_READ_CODAILY_AUDIO_BOOK_READ_COWEEK_AUDIO_BOOK_READ_COMT_AUDIO_BOOK_READ_COQU_AUDIO_BOOK_READ_CONTHG_AUDIO_BOOK_READ_CODAILY_NWSPR_READ_COWEEK_NWSPR_READ_COMT_NWSPR_READ_COQU_NWSPR_READ_CONTHG_NWSPR_READ_CODAILY_ITNNWP_READ_COWEEK_ITNNWP_READ_COMT_ITNNWP_READ_COQU_ITNNWP_READ_CONTHG_ITNNWP_READ_CODAILY_MGZN_READ_COWEEK_MGZN_READ_COMT_MGZN_READ_COQU_MGZN_READ_CONTHG_MGZN_READ_CODAILY_WEBZN_READ_COWEEK_WEBZN_READ_COMT_WEBZN_READ_COQU_WEBZN_READ_CONTHG_WEBZN_READ_CODAILY_CRTUN_BOOK_READ_COWEEK_CRTUN_BOOK_READ_COMT_CRTUN_BOOK_READ_COQU_CRTUN_BOOK_READ_CONTHG_CRTUN_BOOK_READ_CODAILY_WEB_CRTUN_READ_COWEEK_WEB_CRTUN_READ_COMT_WEB_CRTUN_READ_COQU_WEB_CRTUN_READ_CONTHG_WEB_CRTUN_READ_COAGRDE_SE_NM
0서울4.014.420.828.931.91.46.77.57.077.40.21.31.82.294.47.38.55.49.369.431.926.74.01.535.90.01.15.312.481.20.22.22.73.391.60.61.93.37.286.95.98.36.14.075.6성인
1부산1.08.416.825.048.91.11.58.212.077.20.00.00.21.098.87.815.14.79.363.145.727.83.60.822.10.22.311.931.154.50.00.81.84.093.30.00.32.53.793.51.69.210.02.476.8성인
2대구3.712.323.316.544.10.92.32.22.092.60.30.80.20.698.010.210.18.91.369.437.88.72.80.450.40.21.94.91.891.20.00.90.30.298.50.00.30.92.096.84.44.92.00.788.0성인
3인천3.514.121.619.940.92.27.67.43.779.20.31.02.02.594.27.18.75.15.973.241.021.55.60.531.40.31.75.97.484.70.03.53.93.289.40.31.42.51.993.87.711.22.61.477.0성인
4광주2.010.711.821.154.51.50.81.62.493.60.00.00.41.298.44.96.06.44.877.913.117.711.32.355.70.31.15.711.681.20.81.20.32.195.60.00.43.21.694.72.73.34.92.586.5성인
5대전1.711.311.914.061.01.00.31.52.295.00.00.00.00.0100.04.39.84.84.576.67.716.59.04.062.70.01.02.43.693.00.01.40.70.397.50.00.31.90.497.46.96.12.01.483.6성인
6울산0.411.614.327.146.70.012.66.313.967.10.00.00.30.898.914.315.42.310.058.136.326.27.33.027.20.04.821.121.952.30.04.12.30.892.90.01.33.56.488.71.66.47.17.677.2성인
7세종4.810.613.119.751.91.00.74.14.489.80.00.80.00.099.22.96.711.114.564.822.19.43.410.954.20.00.80.80.897.60.00.80.80.897.61.00.80.01.097.22.82.72.70.891.0성인
8경기1.911.714.826.545.20.83.96.57.381.60.30.91.71.895.34.39.47.07.471.932.024.87.81.334.10.10.74.413.281.60.42.32.22.792.50.50.55.94.788.35.19.96.53.974.6성인
9강원5.813.218.517.545.11.01.34.63.389.90.00.00.70.099.38.610.88.53.368.924.315.03.42.355.00.04.112.99.473.60.63.52.73.090.30.00.41.63.594.47.39.43.41.278.8성인
AREA_NMDAILY_BOOK_READ_COWEEK_BOOK_READ_COMT_BOOK_READ_COQU_BOOK_READ_CONTHG_BOOK_READ_CODAILY_EBOOK_READ_COWEEK_EBOOK_READ_COMT_EBOOK_READ_COQU_EBOOK_READ_CONTHG_EBOOK_READ_CODAILY_AUDIO_BOOK_READ_COWEEK_AUDIO_BOOK_READ_COMT_AUDIO_BOOK_READ_COQU_AUDIO_BOOK_READ_CONTHG_AUDIO_BOOK_READ_CODAILY_NWSPR_READ_COWEEK_NWSPR_READ_COMT_NWSPR_READ_COQU_NWSPR_READ_CONTHG_NWSPR_READ_CODAILY_ITNNWP_READ_COWEEK_ITNNWP_READ_COMT_ITNNWP_READ_COQU_ITNNWP_READ_CONTHG_ITNNWP_READ_CODAILY_MGZN_READ_COWEEK_MGZN_READ_COMT_MGZN_READ_COQU_MGZN_READ_CONTHG_MGZN_READ_CODAILY_WEBZN_READ_COWEEK_WEBZN_READ_COMT_WEBZN_READ_COQU_WEBZN_READ_CONTHG_WEBZN_READ_CODAILY_CRTUN_BOOK_READ_COWEEK_CRTUN_BOOK_READ_COMT_CRTUN_BOOK_READ_COQU_CRTUN_BOOK_READ_CONTHG_CRTUN_BOOK_READ_CODAILY_WEB_CRTUN_READ_COWEEK_WEB_CRTUN_READ_COMT_WEB_CRTUN_READ_COQU_WEB_CRTUN_READ_CONTHG_WEB_CRTUN_READ_COAGRDE_SE_NM
24세종11.142.613.331.31.76.01.31.716.974.20.00.01.75.293.10.03.14.921.470.715.726.621.111.125.51.22.015.620.261.00.05.89.426.658.215.714.214.924.830.333.926.56.010.722.8학생
25경기21.725.515.927.29.75.99.97.019.357.91.85.63.112.077.31.23.95.413.675.912.320.214.212.740.61.42.79.620.266.11.62.56.919.170.08.017.717.529.427.434.923.28.89.623.4학생
26강원6.425.726.231.010.82.35.611.720.759.70.90.01.312.085.70.03.34.314.577.99.925.915.214.035.10.61.28.218.871.20.65.510.717.266.04.212.217.734.031.929.334.613.07.315.8학생
27충북15.230.013.132.19.61.03.79.424.361.60.04.51.36.587.80.82.912.117.167.111.119.414.415.339.80.00.87.424.767.00.04.26.015.174.63.110.427.131.328.039.029.36.07.018.6학생
28충남11.822.113.332.520.32.65.39.513.868.80.71.54.08.185.60.02.45.913.178.62.618.911.08.159.41.01.57.416.274.00.02.310.610.576.68.713.513.438.126.328.025.811.010.125.1학생
29전북13.226.719.130.110.97.15.55.525.656.30.71.31.011.785.20.62.24.414.977.98.528.111.312.739.40.00.06.624.169.33.35.46.226.858.35.417.318.434.923.948.621.16.812.111.4학생
30전남12.045.413.314.414.95.15.45.67.776.21.16.94.09.578.60.03.84.617.274.43.116.19.214.457.21.10.03.328.467.20.06.84.220.168.912.925.217.326.618.136.024.95.314.719.1학생
31경북12.220.816.640.59.95.27.76.323.657.20.01.32.610.985.20.02.88.517.271.514.120.312.312.540.90.00.05.415.379.20.63.57.016.772.28.211.424.530.325.638.735.04.67.614.1학생
32경남14.327.119.433.26.04.55.86.517.865.43.32.53.414.776.20.46.08.617.567.57.720.714.617.139.90.32.510.221.865.31.42.76.224.165.58.322.018.334.017.434.926.58.39.620.7학생
33제주6.118.839.730.64.81.52.95.115.475.10.01.15.021.072.90.00.07.121.971.017.125.813.310.033.80.70.710.217.171.31.53.35.017.472.84.011.821.334.128.939.324.47.79.818.8학생