Overview

Dataset statistics

Number of variables40
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory362.4 B

Variable types

Numeric34
Text1
Categorical5

Dataset

Description샘플 데이터
Author서울특별시
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=53

Alerts

년월(ym) has constant value ""Constant
연령대10_직장인구수(agrde_10_wrc_popltn_co) has constant value ""Constant
남성연령대10_직장인구수(male_agrde_10_wrc_popltn_co) has constant value ""Constant
여성연령대10_직장인구수(female_agrde_10_wrc_popltn_co) has constant value ""Constant
적재일시(ldadng_dt) is highly imbalanced (64.7%)Imbalance
집계구코드(oa_cd) has unique valuesUnique
공간정보(geom) has unique valuesUnique
남성_직장인구수(male_wrc_popltn_co) has unique valuesUnique
여성_직장인구수(female_wrc_popltn_co) has unique valuesUnique
총_직장인구수(tot_wrc_popltn_co) has 4 (13.3%) zerosZeros
연령대15_직장인구수(agrde_15_wrc_popltn_co) has 20 (66.7%) zerosZeros
연령대20_직장인구수(agrde_20_wrc_popltn_co) has 10 (33.3%) zerosZeros
연령대25_직장인구수(agrde_25_wrc_popltn_co) has 4 (13.3%) zerosZeros
연령대30_직장인구수(agrde_30_wrc_popltn_co) has 7 (23.3%) zerosZeros
연령대35_직장인구수(agrde_35_wrc_popltn_co) has 5 (16.7%) zerosZeros
연령대40_직장인구수(agrde_40_wrc_popltn_co) has 3 (10.0%) zerosZeros
연령대45_직장인구수(agrde_45_wrc_popltn_co) has 4 (13.3%) zerosZeros
연령대50_직장인구수(agrde_50_wrc_popltn_co) has 5 (16.7%) zerosZeros
연령대55_직장인구수(agrde_55_wrc_popltn_co) has 3 (10.0%) zerosZeros
연령대60_직장인구수(agrde_60_wrc_popltn_co) has 5 (16.7%) zerosZeros
남성연령대15_직장인구수(male_agrde_15_wrc_popltn_co) has 20 (66.7%) zerosZeros
남성연령대20_직장인구수(male_agrde_20_wrc_popltn_co) has 16 (53.3%) zerosZeros
남성연령대25_직장인구수(male_agrde_25_wrc_popltn_co) has 11 (36.7%) zerosZeros
남성연령대30_직장인구수(male_agrde_30_wrc_popltn_co) has 7 (23.3%) zerosZeros
남성연령대35_직장인구수(male_agrde_35_wrc_popltn_co) has 7 (23.3%) zerosZeros
남성연령대40_직장인구수(male_agrde_40_wrc_popltn_co) has 10 (33.3%) zerosZeros
남성연령대45_직장인구수(male_agrde_45_wrc_popltn_co) has 7 (23.3%) zerosZeros
남성연령대50_직장인구수(male_agrde_50_wrc_popltn_co) has 9 (30.0%) zerosZeros
남성연령대55_직장인구수(male_agrde_55_wrc_popltn_co) has 11 (36.7%) zerosZeros
남성연령대60_직장인구수(male_agrde_60_wrc_popltn_co) has 7 (23.3%) zerosZeros
여성연령대15_직장인구수(female_agrde_15_wrc_popltn_co) has 24 (80.0%) zerosZeros
여성연령대20_직장인구수(female_agrde_20_wrc_popltn_co) has 11 (36.7%) zerosZeros
여성연령대25_직장인구수(female_agrde_25_wrc_popltn_co) has 6 (20.0%) zerosZeros
여성연령대30_직장인구수(female_agrde_30_wrc_popltn_co) has 5 (16.7%) zerosZeros
여성연령대35_직장인구수(female_agrde_35_wrc_popltn_co) has 11 (36.7%) zerosZeros
여성연령대40_직장인구수(female_agrde_40_wrc_popltn_co) has 7 (23.3%) zerosZeros
여성연령대45_직장인구수(female_agrde_45_wrc_popltn_co) has 4 (13.3%) zerosZeros
여성연령대50_직장인구수(female_agrde_50_wrc_popltn_co) has 6 (20.0%) zerosZeros
여성연령대55_직장인구수(female_agrde_55_wrc_popltn_co) has 9 (30.0%) zerosZeros
여성연령대60_직장인구수(female_agrde_60_wrc_popltn_co) has 10 (33.3%) zerosZeros

Reproduction

Analysis started2023-12-10 15:03:24.798373
Analysis finished2023-12-10 15:03:25.346499
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계구코드(oa_cd)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1155646 × 1012
Minimum1.102058 × 1012
Maximum1.125065 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:25.461413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.102058 × 1012
5-th percentile1.1065232 × 1012
Q11.1113233 × 1012
median1.115058 × 1012
Q31.121815 × 1012
95-th percentile1.1236202 × 1012
Maximum1.125065 × 1012
Range2.300697 × 1010
Interquartile range (IQR)1.0491731 × 1010

Descriptive statistics

Standard deviation6.0455063 × 109
Coefficient of variation (CV)0.0054192345
Kurtosis-0.69922494
Mean1.1155646 × 1012
Median Absolute Deviation (MAD)4.0095045 × 109
Skewness-0.16448394
Sum3.3466939 × 1013
Variance3.6548147 × 1019
MonotonicityNot monotonic
2023-12-11T00:03:25.727850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1112060020003 1
 
3.3%
1125065010006 1
 
3.3%
1121080020006 1
 
3.3%
1111079050016 1
 
3.3%
1113070030001 1
 
3.3%
1113075040003 1
 
3.3%
1117056020008 1
 
3.3%
1123076030101 1
 
3.3%
1110064010007 1
 
3.3%
1115059030201 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1102058040003 1
3.3%
1106084010007 1
3.3%
1107060020002 1
3.3%
1108065020006 1
3.3%
1110064010007 1
3.3%
1111052011103 1
3.3%
1111066010004 1
3.3%
1111079050016 1
3.3%
1112056010014 1
3.3%
1112060020003 1
3.3%
ValueCountFrequency (%)
1125065010006 1
3.3%
1124063020001 1
3.3%
1123079030103 1
3.3%
1123076030101 1
3.3%
1123074010001 1
3.3%
1123059020003 1
3.3%
1122066040001 1
3.3%
1122060020903 1
3.3%
1121080020006 1
3.3%
1119071020004 1
3.3%

공간정보(geom)
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-11T00:03:26.122515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length1024
Mean length962.43333
Min length488

Characters and Unicode

Total characters28873
Distinct characters21
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowM*L*I*O*Y*O*(*(*0*0*2*0*0*9*2*3*5*6*9*.*2*9*9*3*,*0*0*4*6*1*6*8*8*5*6*5*.*2*7*3*5*2*4*2*.*6*9*0*5* *4*1*8*8*6*1*9*5*2*4*2*.*2*7*0*0* *4*1*5*7*6*6*2*,*0*9*5*9*7*9*5*1*5*6*3*.*6*9*9*0*,*0*9*9*9*8*7*4*4*5*6*9*.*9*2*7*7*,*0*9*2*5*9*5*8*7*5*6*8*.*7*3*7*2*,*0*8*4*8*0*7*0*1*5*6*6*.*2*7*1*9*,*0*8*4*3*1*4*0* *4*1*3*2*9*4*2*9*2*3*6*.*9*7*8*3* *4*1*4*3*6*2*8*1*2*3*4*.*8*0*0*2* *4*1*9*6*7*5*0*,*0*9*1*0*6*0*6*6*5*6*7*.*1*1*4*0*,*0*0*0*7*7*7*3* *4*2*3*1*9*2*2*3*2*4*3*.*8*0*7*9* *4*1*0*2*3*0*9*8*)*
2nd rowM*L*I*O*Y*O*(*(*9*6*5*5*1*3*4*9*5*7*2*.*8*9*0*0*,*9*6*4*6*8*7*7*4*5*7*2*.*0*2*7*8*,*9*6*7*0*6*3*2*1*5*7*3*.*2*2*9*0*,*9*6*9*4*0*4*0*5*5*7*2*.*1*6*7*3*,*9*6*9*9*7*0*3*7*5*7*1*.*4*2*3*4*,*9*6*5*6*2*4*1*2*5*7*1*.*0*3*2*4*,*9*6*8*4*3*2*8*1*5*7*0*.*2*3*2*1*,*9*7*7*6*4*9*5*9*5*7*0*.*2*5*4*9*,*9*7*3*4*5*1*7*1*5*6*9*.*0*9*8*9*,*9*7*1*7*5*1*3*6*5*6*8*.*5*0*9*1*,*9*7*2*3*4*6*7*5*5*6*8*.*7*0*6*2*,*9*7*8*7*8*4*2*8*5*6*8*.*8*1*9*6*,*9*7*8*8*2*6*5*7*5*6*8*.*3*2*0*3*,*9*7*4*7*0*8*9*1*5*6*7*.*2*3*0*7*,*9*7*2*4*8*7*7*2*5*6*7*.*9*8*2*5*1*6*5*.*8*2*2*1* *4*9*0*5*6*1*5*6*1*6*7*.*8*2*0*4* *4*9*3*1*4*0*7*8*1*6*7*.*9*3*6*0* *4*9*1*6*3*6*3*7*1*6*8*.*3*6*8*1* *4*9*6*9*4*7*3*1*1*6*8*.*5*3*5*6* *4*9*5*7*5*1*3*4*1*6*0*.*3*3*2*4* *4*9*6*9*6*6*1*2*1*6*1*.*6*5*8*0* *4*9*4*6*1*1*2*6*1*6*1*.*9*2*7*8* *4*9*4*5*4*3*0*,*9*8*9*7*3*4*9*3*5*6*4*.*4*0*8*6*1*6*2*.*3*1*1*4* *4*9*1*8*6*7*9*7*1*6*2*.*6*2*8*6* *4*9*0*1*7*0*7*8*1*6*3*.*0*1*5*2* *4*9*7*9*4*7*9*4*1*6*4*.*1*0*8*0* *4*9*6*1*4*1*7*2*1*6*5*.*3*1*3*1* *4*9*2*9*3*5*1*,*9*8*4*2*0*8*8*3*5*6*3*.*0*
3rd rowM*L*I*O*Y*O*(*(*1*1*7*0*3*8*7*3*5*9*7*.*8*9*1*,*1*1*7*9*5*6*1*7*5*9*6*.*5*8*4*3*,*1*1*8*2*8*8*0*2*5*9*6*.*6*1*2*2*,*1*1*8*1*3*8*2* *4*9*8*3*4*9*0*6*2*3*9*.*8*3*7*7* *4*9*8*1*4*8*5*8*2*3*9*.*2*1*5*6* *4*9*8*5*1*3*3*2*2*3*9*.*0*0*1*7* *4*9*1*8*1*6*8*2*2*3*9*.*2*5*2*9*5*9*0*.*5*5*8*0*,*1*1*9*5*0*4*6*2*5*9*9*.*2*4*4*5*,*1*1*9*3*3*8*3*9*5*9*9*.*5*6*8*5*,*1*1*7*5*1*7*2*6*5*9*8*.*2*1*5*2*,*1*1*6*6*6*6*3*4*5*9*7*.*7*2*9*1*,*1*1*4*4*7*8*2*8*5*9*6*.*6*6*1*7*,*1*1*2*3*1*8*8*5*9*5*.*4*4*4*0*,*1*1*6*1*0*7*8*4*5*9*2*.*2*7*5*6*2*3*7*.*2*2*9*5* *4*8*6*5*0*1*6*3*2*3*7*.*0*1*3*6* *4*8*5*9*4*7*0*3*2*3*7*.*9*4*2*9* *4*8*6*5*9*7*6*7*2*3*1*.*1*2*9*3* *4*8*3*8*5*5*8*1*2*3*0*.*9*9*8*3*5*9*2*.*9*5*7*2*,*1*1*8*6*2*5*8*5*5*9*3*.*4*4*0*6*,*1*1*9*1*6*8*8*9*5*9*3*.*1*4*6*0*,*1*1*8*7*6*0*8*4*5*9*9*.*3*3*3*2*,*1*1*8*9*6*1*0*3*5*9*5*.*8*1*7*9*,*1*1*2*6*7*0*9*3*5*9*5*.*1*8*3*2*,*1*1*9*7*9*8*7*8*5*9*5*.*8*9*9*4*,*1*1*4*9*9*1*1*2*5*9*5*.*1*5*3*6*,*1*1*4*9*1*6*4*2*5*9*5*.*1*2*0*2*,*1*1*6*2*1*5*1*5*9*6*.*7*1*8*7*,*1*1*7*0*3*8*7*3*5*9*7*.*8*9*1*)*
4th rowM*L*I*O*Y*O*(*(*0*4*8*5*0*3*0*3*5*6*5*.*9*0*8*6*,*0*4*8*9*5*5*1*4*5*6*5*.*0*0*6*0*,*0*5*3*1*7*4*4*8*5*6*5*.*5*1*3*6*,*0*5*5*9*1*5*9*3*5*6*5*.*4*1*8*9*,*0*5*6*7*4*7*4*7*5*6*5*.*3*1*6*3*,*0*5*1*9*1*2*1* *5*7*4*0*1*3*5*,*0*5*2*4*0*8*5*5*5*6*5*.*5*2*7*3*,*0*5*2*8*3*7*4*3*5*6*5*.*6*2*6*6*,*0*5*6*2*0*1*5* *5*7*5*1*5*1*5*7*2*4*1*.*9*1*0*5* *5*7*5*5*9*4*2*5*2*4*1*.*2*1*5*8* *5*7*5*6*9*4*3*1*2*4*2*.*9*1*3*1* *5*7*6*6*9*8*9*4*2*4*2*.*9*1*8*0* *5*7*7*0*8*6*3*5*2*4*2*.*5*0*8*6* *5*7*7*1*6*0*8*5*2*4*3*.*1*9*8*1* *5*7*9*0*3*4*7*2*2*4*3*.*3*9*3*3* *5*7*0*1*4*8*1*6*2*4*4*.*0*8*8*4* *5*7*1*1*7*4*6*2*2*4*4*.*3*8*9*7* *5*7*9*1*9*4*1*7*2*4*4*.*1*9*5*9*5*6*5*.*9*7*3*5*,*0*5*2*7*8*6*3* *5*7*5*1*5*3*2*2*2*4*4*.*5*1*1*0* *5*7*5*4*2*2*0*5*2*4*4*.*1*1*9*2*5*6*4*.*7*8*6*2*,*0*5*6*2*5*9*9*7*5*6*4*.*9*9*1*3*,*0*5*7*9*5*8*8*1*5*6*3*.*9*9*4*5*,*0*5*7*9*5*4*4*7*5*6*3*.*2*9*3*3*,*0*5*8*4*0*8*8*4*5*6*3*.*0*9*0*4*,*0*5*0*7*6*7*3*3*5*6*2*.*2*0*6*6*,*0*5*3*1*3*2*4*8*5*6*1*.*0*2*2*6*,*0*5*5*1*5*5*5*4*5*6*1*.*5*3*0*7*,*0*5*3*0*6*5*3*6*5*6*0*.*5*4*
5th rowM*L*I*O*Y*O*(*(*8*2*9*8*6*6*9*7*5*1*0*.*4*9*0*9*,*8*2*1*8*7*3*8*2*5*1*0*.*1*0*8*8*,*8*2*8*1*2*1* *5*9*3*1*1*6*3*5*1*3*8*.*4*1*5*7* *5*9*3*1*6*3*0*3*1*3*8*.*1*0*5*7*5*1*0*.*7*0*7*2*,*8*2*9*9*1*0*7* *5*9*3*2*4*5*6*2*1*3*9*.*7*1*8*8* *5*9*1*0*0*5*6*7*1*3*9*.*9*3*5*5* *5*8*6*0*2*1*6*4*1*3*9*.*9*4*4*1* *5*8*1*5*2*5*0*8*1*3*0*.*2*3*5*8* *5*8*2*7*7*0*1*8*1*3*0*.*2*2*8*8* *5*8*5*7*3*9*9*,*8*3*0*4*8*7*0*6*5*1*8*.*9*5*7*9*,*8*3*6*6*5*1*4*4*5*1*9*.*5*5*4*4*1*3*1*.*5*0*0*9* *5*8*5*7*2*3*4*2*1*3*2*.*4*8*9*3* *5*9*2*5*0*8*0*3*1*3*2*.*1*7*2*8* *5*9*7*9*9*6*0*9*1*3*2*.*9*6*6*0* *5*9*3*4*0*9*4*9*1*3*2*.*4*5*2*6* *5*9*8*3*3*5*1*7*1*3*2*.*8*4*0*0* *5*9*2*5*7*7*9*7*1*3*2*.*5*4*2*8* *5*9*4*7*6*8*2*6*1*3*2*.*2*4*2*1* *5*9*6*1*1*1*2*4*1*3*2*.*6*4*5*2*5*1*2*.*7*5*7*8*,*8*3*9*9*1*4*6*7*5*1*2*.*9*5*8*6*,*8*3*0*6*0*7*5*3*5*1*2*.*0*0*5*6*,*8*3*0*5*9*5*8*4*5*1*2*.*5*1*9*4*,*8*3*0*5*4*5*6*9*5*1*2*.*8*2*1*1*,*8*3*1*0*9*5*6*5*5*1*1*.*6*6*1*5*,*8*3*3*3*1*0*3*9*5*1*4*.*2*9*8*2*,*8*3*3*7*6*2*0*7*5*1*2*.*3*0*8*3*,*8*3*3*7*3*8*8*8*5*1*2*.*5*1*6*
ValueCountFrequency (%)
m*l*i*o*y*o*(*(*0*0*2*0*0*9*2*3*5*6*9*.*2*9*9*3*,*0*0*4*6*1*6*8*8*5*6*5*.*2*7*3*5*2*4*2*.*6*9*0*5 1
 
0.3%
4*4*8*1*7*5*9*,*8*3*4*1*6*2*9*1*5*3*5*.*5*4*9*,*8*3*9*3*1*0*8*3*5*3*5*.*5*4*4*5*,*8*4*3*3*9*8*2*8*5*3*6*.*2*1*4*6*,*8*4*4*0*4*8*0*9*5*3*6*.*9*1*7*8*,*8*4*1*8*7*4*0*4*5*3*6*.*1*7*6*6*1*7*6*.*6*8*0*4 1
 
0.3%
4*9*8*1*8*7*4*4 1
 
0.3%
4*9*8*4*7*8*0*,*1*1*4*8*6*3*0*1*5*0*5*.*6*2*7*2*,*1*2*2*2*4*3*9*9*5*0*5*.*8*7*0*3*,*1*2*3*0*7*9*5*3*5*0*6*.*8*9*4*9*,*1*2*8*6*1*9*4*8*5*0*6*.*8*2*1*9*,*1*2*7*0*3*2*2*5*5*0*3*.*0*5*0*8*,*1*2*7*1*0*9*4*8*5*0*3*.*2*4*2*9*,*1*2*9*7*7*8*5*1*5*0*4*.*6*0*8*4*,*1*2*9*8*1*2*3*9*5*0*4*.*6*8*7*0*,*1*2*9*8*5*0*4*4*5*0*4*.*2*4*2*4*,*1*2*1*3*0*2*9*4*5*0*7*.*8*7*9*0*,*1*2*1*4*1*4*3*4*5*0*7*.*9*7*2*5*,*1*2*1*9*8*3*2*1*5*0*0*.*5*2*1*1*,*1*2*6*7*0*2*8*7*5*9*8*.*7*0*6*0*,*1*2*9*0*2*4*1*7*5*9*6*.*2*2*8*2*,*1*2*9*0*1*6*9*3*5*9*6*.*1*4*1*0*,*1*2*8*6*4*1*8*1*5*9*6*.*1*7*5*9*,*1*2*8*6*9*1*0*4*5*9*6*.*8*9*9*9*,*1*2*4*6*3*7*2*8*5*9*6*.*8*3*1*5*,*1*2*7*5*9*0*1 1
 
0.3%
4*9*1*5*0*0*5*9*2*5*8*.*3*0*9*8 1
 
0.3%
4*9*8*1*8*7*4*4*2*5*8*.*9*1*5*8 1
 
0.3%
m*l*i*o*y*o*(*(*1*2*7*5*9*0*1 1
 
0.3%
4*5*9*6*6*6*8*2*1*9*4*.*0*3*4*8*5*3*5*.*1*7*7*6*,*9*1*3*7*2*2*6*1*5*3*7*.*9*2*1*6*,*9*1*3*6*1*4*1*7*5*3*7*.*9*2*0*5*,*9*1*3*0*7*9*3*1*5*3*7*.*5*2*6*4*,*9*1*2*8*7*8*9*1*5*3*7*.*8*2*0*3*,*9*1*8*9*0*0*4*6*5*3*0*.*7*7*4*7*,*9*0*8*4*7*9*0*1*5*3*4*.*5*1*4*7*,*9*0*1*5*9*8*3*7*5*3*2*.*0*1*1*5*,*9*0*0*9*0*6*3*9*5*3*4*.*5*0*1*3*,*9*0*8*6*6*8*8*3*5*3*4*.*6*6*2*5*,*9*0*1*4*7*1*4*4*5*3*4*.*1*7*0*3*,*9*0*9*2*2*1*4*2*5*3*5*.*8*6*3*6*,*9*0*9*7*7*0*9*7*5*3*5*.*3*9*3*4*,*9*0*9*7*7*4*4*3*5*3*6 1
 
0.3%
4*5*6*8*4*5*3*3*1*9*4*.*0*3*8*5 1
 
0.3%
m*l*i*o*y*o*(*(*9*1*6*8*9*6*3*8*5*3*0*.*2*7*1*7*,*9*1*8*3*0*1*4*6*5*3*4*.*4*6*9*6*,*9*2*7*2*1*8*7*4*5*3*8*.*3*5*0*0*,*9*2*0*8*2*5*6*1*5*3*1*.*7*6*5*4*,*9*2*7*7*5*8*5*2*5*3*0*.*6*4*2*6*,*9*2*7*0*1*4*3*4*5*3*0*.*9*3*5*6*,*9*1*3*6*3*0*4*2*5*3*8*.*9*8*7*4*,*9*1*0*1*8*2*8*6*5*3*0*.*6*4*2*4*,*9*1*0*0*8*4*0*2*5*3*0*.*6*3*8*3*,*9*1*0*7*4*8*8*4*5*3*2*.*3*1*0*9*,*9*1*3*2*4*1*4*6*5*3*0*.*3*3*4*4*,*9*1*4*2*8*9*8*2*5*3*2*.*7*8*5*3*,*9*1*1*9*8*3*5*6*5*3*4*.*6*1*4*5*,*9*1*9*9*9*7*6*9*5*3*4*.*9*7*9*5*,*9*1*9*9*1*5*2 1
 
0.3%
Other values (357) 357
97.3%
2023-12-11T00:03:26.799618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 14436
50.0%
5 1717
 
5.9%
1 1379
 
4.8%
9 1351
 
4.7%
2 1255
 
4.3%
4 1232
 
4.3%
0 1219
 
4.2%
8 1149
 
4.0%
3 1105
 
3.8%
7 1064
 
3.7%
Other values (11) 2966
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 15757
54.6%
Decimal Number 12531
43.4%
Space Separator 337
 
1.2%
Uppercase Letter 180
 
0.6%
Open Punctuation 60
 
0.2%
Close Punctuation 8
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1717
13.7%
1 1379
11.0%
9 1351
10.8%
2 1255
10.0%
4 1232
9.8%
0 1219
9.7%
8 1149
9.2%
3 1105
8.8%
7 1064
8.5%
6 1060
8.5%
Uppercase Letter
ValueCountFrequency (%)
O 60
33.3%
M 30
16.7%
Y 30
16.7%
I 30
16.7%
L 30
16.7%
Other Punctuation
ValueCountFrequency (%)
* 14436
91.6%
. 823
 
5.2%
, 498
 
3.2%
Space Separator
ValueCountFrequency (%)
337
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28693
99.4%
Latin 180
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
* 14436
50.3%
5 1717
 
6.0%
1 1379
 
4.8%
9 1351
 
4.7%
2 1255
 
4.4%
4 1232
 
4.3%
0 1219
 
4.2%
8 1149
 
4.0%
3 1105
 
3.9%
7 1064
 
3.7%
Other values (6) 2786
 
9.7%
Latin
ValueCountFrequency (%)
O 60
33.3%
M 30
16.7%
Y 30
16.7%
I 30
16.7%
L 30
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28873
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 14436
50.0%
5 1717
 
5.9%
1 1379
 
4.8%
9 1351
 
4.7%
2 1255
 
4.3%
4 1232
 
4.3%
0 1219
 
4.2%
8 1149
 
4.0%
3 1105
 
3.8%
7 1064
 
3.7%
Other values (11) 2966
 
10.3%

년월(ym)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
201612
30 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201612
2nd row201612
3rd row201612
4th row201612
5th row201612

Common Values

ValueCountFrequency (%)
201612 30
100.0%

Length

2023-12-11T00:03:27.080661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:03:27.268156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201612 30
100.0%
Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.267
Minimum0
Maximum429.99998
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:27.475454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.4999925
median38.49999
Q3137.25002
95-th percentile392.7555
Maximum429.99998
Range429.99998
Interquartile range (IQR)129.75003

Descriptive statistics

Standard deviation123.36824
Coefficient of variation (CV)1.3517289
Kurtosis2.2957432
Mean91.267
Median Absolute Deviation (MAD)36.99999
Skewness1.7376454
Sum2738.01
Variance15219.722
MonotonicityNot monotonic
2023-12-11T00:03:27.862722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 4
 
13.3%
5.99999 1
 
3.3%
3.0 1
 
3.3%
9.0 1
 
3.3%
147.00002 1
 
3.3%
116.99999 1
 
3.3%
103.99999 1
 
3.3%
60.0 1
 
3.3%
6.0 1
 
3.3%
175.99999 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.0 4
13.3%
3.0 1
 
3.3%
5.99999 1
 
3.3%
6.0 1
 
3.3%
6.99999 1
 
3.3%
9.0 1
 
3.3%
13.00001 1
 
3.3%
13.99998 1
 
3.3%
15.0 1
 
3.3%
16.0 1
 
3.3%
ValueCountFrequency (%)
429.99998 1
3.3%
395.01 1
3.3%
390.0 1
3.3%
220.00001 1
3.3%
175.99999 1
3.3%
171.0 1
3.3%
147.00002 1
3.3%
144.00003 1
3.3%
116.99999 1
3.3%
103.99999 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.81897
Minimum1.09091
Maximum1509.6462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:28.136631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.09091
5-th percentile3.45
Q16.7952675
median23.05932
Q393.269745
95-th percentile899.9155
Maximum1509.6462
Range1508.5553
Interquartile range (IQR)86.474478

Descriptive statistics

Standard deviation345.04151
Coefficient of variation (CV)2.186312
Kurtosis9.3516879
Mean157.81897
Median Absolute Deviation (MAD)17.95406
Skewness3.0573151
Sum4734.5691
Variance119053.64
MonotonicityNot monotonic
2023-12-11T00:03:28.452945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
25.00001 1
 
3.3%
37.7705 1
 
3.3%
80.33709 1
 
3.3%
10.76667 1
 
3.3%
217.36893 1
 
3.3%
213.33621 1
 
3.3%
14.36842 1
 
3.3%
24.6857 1
 
3.3%
40.00001 1
 
3.3%
30.32052 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1.09091 1
3.3%
3.0 1
3.3%
4.0 1
3.3%
4.48 1
3.3%
4.99999 1
3.3%
5.21053 1
3.3%
5.34377 1
3.3%
6.41668 1
3.3%
7.93103 1
3.3%
9.8421 1
3.3%
ValueCountFrequency (%)
1509.64619 1
3.3%
1114.33763 1
3.3%
637.844 1
3.3%
334.92205 1
3.3%
217.36893 1
3.3%
213.33621 1
3.3%
206.51267 1
3.3%
97.58063 1
3.3%
80.33709 1
3.3%
45.59604 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.912665
Minimum1.56604
Maximum852.47292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:28.715087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.56604
5-th percentile2.0176445
Q113.927233
median32.01904
Q3102.04558
95-th percentile269.60137
Maximum852.47292
Range850.90688
Interquartile range (IQR)88.11835

Descriptive statistics

Standard deviation161.66405
Coefficient of variation (CV)1.7399571
Kurtosis17.518598
Mean92.912665
Median Absolute Deviation (MAD)29.999435
Skewness3.8686395
Sum2787.3799
Variance26135.264
MonotonicityNot monotonic
2023-12-11T00:03:28.973534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
18.36667 1
 
3.3%
18.83077 1
 
3.3%
71.90729 1
 
3.3%
1.56604 1
 
3.3%
34.17141 1
 
3.3%
231.42858 1
 
3.3%
77.4 1
 
3.3%
13.65853 1
 
3.3%
14.73334 1
 
3.3%
101.376 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1.56604 1
3.3%
2.0 1
3.3%
2.03921 1
3.3%
3.75 1
3.3%
5.0 1
3.3%
6.0 1
3.3%
7.36841 1
3.3%
13.65853 1
3.3%
14.73334 1
3.3%
18.36667 1
3.3%
ValueCountFrequency (%)
852.47292 1
3.3%
300.83366 1
3.3%
231.42858 1
3.3%
167.8082 1
3.3%
154.432 1
3.3%
151.9607 1
3.3%
127.48224 1
3.3%
102.22744 1
3.3%
101.50001 1
3.3%
101.376 1
3.3%
Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-11T00:03:29.277071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:03:29.499048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7065153
Minimum0
Maximum14.60177
Zeros20
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:29.685141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.9055625
95-th percentile9.1927775
Maximum14.60177
Range14.60177
Interquartile range (IQR)1.9055625

Descriptive statistics

Standard deviation3.4773126
Coefficient of variation (CV)2.0376685
Kurtosis6.6542323
Mean1.7065153
Median Absolute Deviation (MAD)0
Skewness2.5649655
Sum51.19546
Variance12.091703
MonotonicityNot monotonic
2023-12-11T00:03:30.040555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 20
66.7%
3.92308 1
 
3.3%
0.84716 1
 
3.3%
1.25112 1
 
3.3%
3.21666 1
 
3.3%
10.04762 1
 
3.3%
3.21519 1
 
3.3%
3.82118 1
 
3.3%
8.14797 1
 
3.3%
14.60177 1
 
3.3%
ValueCountFrequency (%)
0.0 20
66.7%
0.84716 1
 
3.3%
1.25112 1
 
3.3%
2.12371 1
 
3.3%
3.21519 1
 
3.3%
3.21666 1
 
3.3%
3.82118 1
 
3.3%
3.92308 1
 
3.3%
8.14797 1
 
3.3%
10.04762 1
 
3.3%
ValueCountFrequency (%)
14.60177 1
3.3%
10.04762 1
3.3%
8.14797 1
3.3%
3.92308 1
3.3%
3.82118 1
3.3%
3.21666 1
3.3%
3.21519 1
3.3%
2.12371 1
3.3%
1.25112 1
3.3%
0.84716 1
3.3%
Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0980737
Minimum0
Maximum122.11681
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:30.327185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.87037
Q36.59527
95-th percentile28.538257
Maximum122.11681
Range122.11681
Interquartile range (IQR)6.59527

Descriptive statistics

Standard deviation23.017412
Coefficient of variation (CV)2.8423318
Kurtosis22.420365
Mean8.0980737
Median Absolute Deviation (MAD)0.87037
Skewness4.5845205
Sum242.94221
Variance529.80128
MonotonicityNot monotonic
2023-12-11T00:03:30.671998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 10
33.3%
1.0 2
 
6.7%
0.09524 1
 
3.3%
0.19355 1
 
3.3%
0.55556 1
 
3.3%
0.11642 1
 
3.3%
2.25 1
 
3.3%
0.74074 1
 
3.3%
4.66666 1
 
3.3%
8.39462 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0.0 10
33.3%
0.09524 1
 
3.3%
0.11642 1
 
3.3%
0.19355 1
 
3.3%
0.55556 1
 
3.3%
0.74074 1
 
3.3%
1.0 2
 
6.7%
1.2 1
 
3.3%
2.25 1
 
3.3%
4.34694 1
 
3.3%
ValueCountFrequency (%)
122.11681 1
3.3%
42.25837 1
3.3%
11.76923 1
3.3%
10.76471 1
3.3%
9.77126 1
3.3%
9.09652 1
3.3%
8.39462 1
3.3%
6.88775 1
3.3%
5.71783 1
3.3%
4.66666 1
3.3%
Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.739542
Minimum0
Maximum321.68517
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:30.930588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.2181825
median2.057995
Q313.64325
95-th percentile118.23169
Maximum321.68517
Range321.68517
Interquartile range (IQR)12.425068

Descriptive statistics

Standard deviation63.623132
Coefficient of variation (CV)2.6800489
Kurtosis17.56179
Mean23.739542
Median Absolute Deviation (MAD)1.56579
Skewness4.0194672
Sum712.18625
Variance4047.9029
MonotonicityNot monotonic
2023-12-11T00:03:31.250540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 4
 
13.3%
13.879 1
 
3.3%
136.08841 1
 
3.3%
1.87096 1
 
3.3%
0.81818 1
 
3.3%
1.41666 1
 
3.3%
3.79166 1
 
3.3%
1.31579 1
 
3.3%
1.63636 1
 
3.3%
12.936 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.0 4
13.3%
0.5 1
 
3.3%
0.81818 1
 
3.3%
1.075 1
 
3.3%
1.2 1
 
3.3%
1.27273 1
 
3.3%
1.31579 1
 
3.3%
1.4 1
 
3.3%
1.41666 1
 
3.3%
1.63636 1
 
3.3%
ValueCountFrequency (%)
321.68517 1
3.3%
136.08841 1
3.3%
96.40682 1
3.3%
34.33884 1
3.3%
23.94192 1
3.3%
20.66397 1
3.3%
19.5534 1
3.3%
13.879 1
3.3%
12.936 1
3.3%
3.79166 1
3.3%
Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.984101
Minimum0
Maximum638.31933
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:31.659711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.474205
median4.206955
Q316.52199
95-th percentile92.886827
Maximum638.31933
Range638.31933
Interquartile range (IQR)16.047785

Descriptive statistics

Standard deviation116.9745
Coefficient of variation (CV)3.4420361
Kurtosis26.911025
Mean33.984101
Median Absolute Deviation (MAD)4.206955
Skewness5.1024172
Sum1019.523
Variance13683.035
MonotonicityNot monotonic
2023-12-11T00:03:31.983407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 7
23.3%
1.08824 1
 
3.3%
10.74033 1
 
3.3%
42.89406 1
 
3.3%
13.64865 1
 
3.3%
1.45455 1
 
3.3%
10.70423 1
 
3.3%
5.04855 1
 
3.3%
4.1282 1
 
3.3%
4.28571 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0.0 7
23.3%
0.42857 1
 
3.3%
0.61111 1
 
3.3%
1.08824 1
 
3.3%
1.125 1
 
3.3%
1.45455 1
 
3.3%
2.27273 1
 
3.3%
2.89286 1
 
3.3%
4.1282 1
 
3.3%
4.28571 1
 
3.3%
ValueCountFrequency (%)
638.31933 1
3.3%
133.79 1
3.3%
42.89406 1
3.3%
41.99587 1
3.3%
28.26316 1
3.3%
18.12 1
3.3%
18.07921 1
3.3%
17.47977 1
3.3%
13.64865 1
3.3%
11.08148 1
3.3%
Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.258912
Minimum0
Maximum427.67979
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:32.259574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.838645
median3.282645
Q37.21978
95-th percentile178.38183
Maximum427.67979
Range427.67979
Interquartile range (IQR)6.381135

Descriptive statistics

Standard deviation88.160867
Coefficient of variation (CV)2.6507442
Kurtosis14.461809
Mean33.258912
Median Absolute Deviation (MAD)3.2
Skewness3.6512582
Sum997.76735
Variance7772.3385
MonotonicityNot monotonic
2023-12-11T00:03:32.551605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 5
 
16.7%
1.5 2
 
6.7%
0.72313 1
 
3.3%
3.07692 1
 
3.3%
23.13888 1
 
3.3%
1.80952 1
 
3.3%
7.26923 1
 
3.3%
3.48837 1
 
3.3%
0.66666 1
 
3.3%
1.77778 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0.0 5
16.7%
0.19355 1
 
3.3%
0.66666 1
 
3.3%
0.72313 1
 
3.3%
1.18519 1
 
3.3%
1.5 2
 
6.7%
1.52941 1
 
3.3%
1.77778 1
 
3.3%
1.80952 1
 
3.3%
3.07692 1
 
3.3%
ValueCountFrequency (%)
427.67979 1
3.3%
209.854 1
3.3%
139.91585 1
3.3%
102.39234 1
3.3%
23.57143 1
3.3%
23.13888 1
3.3%
14.48634 1
3.3%
7.26923 1
3.3%
7.07143 1
3.3%
6.59542 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.649531
Minimum0
Maximum111.0075
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:32.811734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.0555575
median4.74459
Q39.39141
95-th percentile59.163788
Maximum111.0075
Range111.0075
Interquartile range (IQR)7.3358525

Descriptive statistics

Standard deviation24.51674
Coefficient of variation (CV)1.7961599
Kurtosis8.4327226
Mean13.649531
Median Absolute Deviation (MAD)3.521075
Skewness2.8171317
Sum409.48592
Variance601.07053
MonotonicityNot monotonic
2023-12-11T00:03:33.174549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 3
 
10.0%
1.76087 1
 
3.3%
12.22222 1
 
3.3%
2.0 1
 
3.3%
48.21428 1
 
3.3%
2.66666 1
 
3.3%
2.42858 1
 
3.3%
24.6165 1
 
3.3%
9.70588 1
 
3.3%
8.448 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.0 3
10.0%
0.28571 1
 
3.3%
0.36364 1
 
3.3%
0.75 1
 
3.3%
1.76087 1
 
3.3%
2.0 1
 
3.3%
2.22223 1
 
3.3%
2.26667 1
 
3.3%
2.36364 1
 
3.3%
2.42858 1
 
3.3%
ValueCountFrequency (%)
111.0075 1
3.3%
62.19718 1
3.3%
55.45631 1
3.3%
48.21428 1
3.3%
24.6165 1
3.3%
12.86957 1
3.3%
12.22222 1
3.3%
9.70588 1
3.3%
8.448 1
3.3%
8.08333 1
3.3%
Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.110541
Minimum0
Maximum1031.341
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:33.438857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.559525
median5.08898
Q322.820918
95-th percentile368.87732
Maximum1031.341
Range1031.341
Interquartile range (IQR)21.261392

Descriptive statistics

Standard deviation208.88093
Coefficient of variation (CV)3.1124907
Kurtosis17.188696
Mean67.110541
Median Absolute Deviation (MAD)5.08898
Skewness4.0816767
Sum2013.3162
Variance43631.244
MonotonicityNot monotonic
2023-12-11T00:03:33.699498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 4
 
13.3%
1.98214 1
 
3.3%
69.2887 1
 
3.3%
24.21761 1
 
3.3%
4.61538 1
 
3.3%
4.84615 1
 
3.3%
1031.34097 1
 
3.3%
22.94737 1
 
3.3%
5.28 1
 
3.3%
142.19791 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0.0 4
13.3%
0.08333 1
 
3.3%
0.85714 1
 
3.3%
1.15789 1
 
3.3%
1.55556 1
 
3.3%
1.57142 1
 
3.3%
1.98214 1
 
3.3%
2.4186 1
 
3.3%
3.27273 1
 
3.3%
4.61538 1
 
3.3%
ValueCountFrequency (%)
1031.34097 1
3.3%
554.3423 1
3.3%
142.19791 1
3.3%
69.2887 1
3.3%
39.10807 1
3.3%
25.2 1
3.3%
24.21761 1
3.3%
22.94737 1
3.3%
22.44156 1
3.3%
14.52252 1
3.3%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.970858
Minimum0
Maximum234.22979
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:33.927062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.648325
median6.68167
Q327.682018
95-th percentile101.74434
Maximum234.22979
Range234.22979
Interquartile range (IQR)26.033693

Descriptive statistics

Standard deviation48.134661
Coefficient of variation (CV)1.8534105
Kurtosis12.499987
Mean25.970858
Median Absolute Deviation (MAD)6.68167
Skewness3.3214107
Sum779.12574
Variance2316.9456
MonotonicityNot monotonic
2023-12-11T00:03:34.599030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 5
 
16.7%
25.89041 1
 
3.3%
1.1 1
 
3.3%
25.51078 1
 
3.3%
3.69048 1
 
3.3%
8.2653 1
 
3.3%
1.68422 1
 
3.3%
28.27922 1
 
3.3%
0.875 1
 
3.3%
9.00953 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0.0 5
16.7%
0.875 1
 
3.3%
1.1 1
 
3.3%
1.63636 1
 
3.3%
1.68422 1
 
3.3%
1.71429 1
 
3.3%
3.28571 1
 
3.3%
3.69048 1
 
3.3%
3.84615 1
 
3.3%
5.0 1
 
3.3%
ValueCountFrequency (%)
234.22979 1
3.3%
129.06949 1
3.3%
68.34694 1
3.3%
57.92886 1
3.3%
51.34855 1
3.3%
32.86873 1
3.3%
28.36981 1
3.3%
28.27922 1
3.3%
25.89041 1
3.3%
25.51078 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.990257
Minimum0
Maximum63.759
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:34.824507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.1409475
median8.098765
Q320.393538
95-th percentile55.118874
Maximum63.759
Range63.759
Interquartile range (IQR)18.25259

Descriptive statistics

Standard deviation17.609423
Coefficient of variation (CV)1.1747245
Kurtosis1.7341782
Mean14.990257
Median Absolute Deviation (MAD)7.126545
Skewness1.5502897
Sum449.70772
Variance310.09178
MonotonicityNot monotonic
2023-12-11T00:03:35.117734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 3
 
10.0%
3.61957 1
 
3.3%
20.51546 1
 
3.3%
0.94444 1
 
3.3%
1.59091 1
 
3.3%
34.51485 1
 
3.3%
56.21799 1
 
3.3%
8.0 1
 
3.3%
63.759 1
 
3.3%
5.91428 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0.0 3
10.0%
0.94444 1
 
3.3%
1.0 1
 
3.3%
1.59091 1
 
3.3%
2.0 1
 
3.3%
2.13793 1
 
3.3%
2.15 1
 
3.3%
3.07692 1
 
3.3%
3.61957 1
 
3.3%
4.85714 1
 
3.3%
ValueCountFrequency (%)
63.759 1
3.3%
56.21799 1
3.3%
53.77551 1
3.3%
34.51485 1
3.3%
33.32494 1
3.3%
25.99713 1
3.3%
22.11282 1
3.3%
20.51546 1
3.3%
20.02777 1
3.3%
19.38461 1
3.3%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.097749
Minimum0
Maximum723.76696
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:35.383340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.34722
median6.659375
Q331.343582
95-th percentile435.83469
Maximum723.76696
Range723.76696
Interquartile range (IQR)28.996362

Descriptive statistics

Standard deviation175.20405
Coefficient of variation (CV)2.5728317
Kurtosis10.704414
Mean68.097749
Median Absolute Deviation (MAD)6.659375
Skewness3.3652315
Sum2042.9325
Variance30696.458
MonotonicityNot monotonic
2023-12-11T00:03:35.704957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 5
 
16.7%
1.25 1
 
3.3%
723.76696 1
 
3.3%
11.68539 1
 
3.3%
7.64706 1
 
3.3%
75.24796 1
 
3.3%
8.85715 1
 
3.3%
35.20641 1
 
3.3%
0.66667 1
 
3.3%
155.2886 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0.0 5
16.7%
0.66667 1
 
3.3%
1.25 1
 
3.3%
2.33333 1
 
3.3%
2.38889 1
 
3.3%
2.8125 1
 
3.3%
3.09375 1
 
3.3%
3.57143 1
 
3.3%
3.92308 1
 
3.3%
4.21429 1
 
3.3%
ValueCountFrequency (%)
723.76696 1
3.3%
664.61955 1
3.3%
156.20874 1
3.3%
155.2886 1
3.3%
75.24796 1
3.3%
71.80183 1
3.3%
42.70909 1
3.3%
35.20641 1
3.3%
19.7551 1
3.3%
16.85484 1
3.3%
Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-11T00:03:36.057135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:03:36.270610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.576243
Minimum0
Maximum7.61395
Zeros20
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:36.552596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.4235825
95-th percentile3.048957
Maximum7.61395
Range7.61395
Interquartile range (IQR)0.4235825

Descriptive statistics

Standard deviation1.5541003
Coefficient of variation (CV)2.696953
Kurtosis15.550047
Mean0.576243
Median Absolute Deviation (MAD)0
Skewness3.8129312
Sum17.28729
Variance2.4152277
MonotonicityNot monotonic
2023-12-11T00:03:36.906486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 20
66.7%
0.71186 1
 
3.3%
0.88123 1
 
3.3%
0.14777 1
 
3.3%
7.61395 1
 
3.3%
1.87397 1
 
3.3%
4.01031 1
 
3.3%
0.7508 1
 
3.3%
0.37037 1
 
3.3%
0.48571 1
 
3.3%
ValueCountFrequency (%)
0.0 20
66.7%
0.14777 1
 
3.3%
0.37037 1
 
3.3%
0.44132 1
 
3.3%
0.48571 1
 
3.3%
0.71186 1
 
3.3%
0.7508 1
 
3.3%
0.88123 1
 
3.3%
1.87397 1
 
3.3%
4.01031 1
 
3.3%
ValueCountFrequency (%)
7.61395 1
3.3%
4.01031 1
3.3%
1.87397 1
3.3%
0.88123 1
3.3%
0.7508 1
3.3%
0.71186 1
3.3%
0.48571 1
3.3%
0.44132 1
3.3%
0.37037 1
3.3%
0.14777 1
3.3%
Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8513807
Minimum0
Maximum13.96963
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:37.157680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.2649175
95-th percentile8.3807285
Maximum13.96963
Range13.96963
Interquartile range (IQR)2.2649175

Descriptive statistics

Standard deviation3.3564574
Coefficient of variation (CV)1.8129483
Kurtosis5.6628353
Mean1.8513807
Median Absolute Deviation (MAD)0
Skewness2.3549438
Sum55.54142
Variance11.265806
MonotonicityNot monotonic
2023-12-11T00:03:37.400975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 16
53.3%
2.375 1
 
3.3%
0.64912 1
 
3.3%
9.93056 1
 
3.3%
2.36364 1
 
3.3%
1.26556 1
 
3.3%
6.23565 1
 
3.3%
13.96963 1
 
3.3%
1.96875 1
 
3.3%
0.34872 1
 
3.3%
Other values (5) 5
 
16.7%
ValueCountFrequency (%)
0.0 16
53.3%
0.34872 1
 
3.3%
0.62338 1
 
3.3%
0.64912 1
 
3.3%
0.78788 1
 
3.3%
1.26556 1
 
3.3%
1.96875 1
 
3.3%
2.36364 1
 
3.3%
2.375 1
 
3.3%
4.02941 1
 
3.3%
ValueCountFrequency (%)
13.96963 1
3.3%
9.93056 1
3.3%
6.48649 1
3.3%
6.23565 1
3.3%
4.50763 1
3.3%
4.02941 1
3.3%
2.375 1
3.3%
2.36364 1
3.3%
1.96875 1
3.3%
1.26556 1
3.3%
Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.126473
Minimum0
Maximum71.77184
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:37.712795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.90909
Q33.455855
95-th percentile38.019988
Maximum71.77184
Range71.77184
Interquartile range (IQR)3.455855

Descriptive statistics

Standard deviation16.699776
Coefficient of variation (CV)2.7258386
Kurtosis12.00566
Mean6.126473
Median Absolute Deviation (MAD)0.90909
Skewness3.5755079
Sum183.79419
Variance278.88253
MonotonicityNot monotonic
2023-12-11T00:03:38.054221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 11
36.7%
1.62963 1
 
3.3%
3.51852 1
 
3.3%
9.07692 1
 
3.3%
0.49451 1
 
3.3%
0.56944 1
 
3.3%
1.05714 1
 
3.3%
0.81818 1
 
3.3%
71.77184 1
 
3.3%
4.82143 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0.0 11
36.7%
0.17949 1
 
3.3%
0.49451 1
 
3.3%
0.56944 1
 
3.3%
0.81818 1
 
3.3%
1.0 1
 
3.3%
1.05714 1
 
3.3%
1.62963 1
 
3.3%
1.95276 1
 
3.3%
2.11765 1
 
3.3%
ValueCountFrequency (%)
71.77184 1
3.3%
61.70068 1
3.3%
9.07692 1
3.3%
7.54762 1
3.3%
5.1746 1
3.3%
4.86641 1
3.3%
4.82143 1
3.3%
3.51852 1
3.3%
3.26786 1
3.3%
2.22951 1
3.3%
Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8085143
Minimum0
Maximum93.53365
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:38.458164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2002525
median2.722725
Q35.0393425
95-th percentile48.999569
Maximum93.53365
Range93.53365
Interquartile range (IQR)4.83909

Descriptive statistics

Standard deviation20.839994
Coefficient of variation (CV)2.365892
Kurtosis11.667357
Mean8.8085143
Median Absolute Deviation (MAD)2.63089
Skewness3.4424682
Sum264.25543
Variance434.30534
MonotonicityNot monotonic
2023-12-11T00:03:38.779761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 7
23.3%
71.11652 1
 
3.3%
18.44063 1
 
3.3%
93.53365 1
 
3.3%
1.23077 1
 
3.3%
0.18367 1
 
3.3%
3.25714 1
 
3.3%
3.13636 1
 
3.3%
2.0 1
 
3.3%
0.52548 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0.0 7
23.3%
0.18367 1
 
3.3%
0.25 1
 
3.3%
0.51163 1
 
3.3%
0.52548 1
 
3.3%
0.87293 1
 
3.3%
1.23077 1
 
3.3%
2.0 1
 
3.3%
2.30909 1
 
3.3%
3.13636 1
 
3.3%
ValueCountFrequency (%)
93.53365 1
3.3%
71.11652 1
3.3%
21.96774 1
3.3%
18.44063 1
3.3%
9.08333 1
3.3%
7.65217 1
3.3%
5.6 1
3.3%
5.47368 1
3.3%
3.73633 1
3.3%
3.48718 1
3.3%
Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.05203
Minimum0
Maximum206.18899
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:39.079391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.2795475
median2.06568
Q312.287765
95-th percentile126.39557
Maximum206.18899
Range206.18899
Interquartile range (IQR)12.008218

Descriptive statistics

Standard deviation47.317996
Coefficient of variation (CV)2.3597608
Kurtosis8.999594
Mean20.05203
Median Absolute Deviation (MAD)2.06568
Skewness3.0367177
Sum601.56091
Variance2238.9928
MonotonicityNot monotonic
2023-12-11T00:03:39.355093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 7
23.3%
4.4 1
 
3.3%
206.18899 1
 
3.3%
2.25 1
 
3.3%
2.28571 1
 
3.3%
0.26667 1
 
3.3%
13.29545 1
 
3.3%
125.14109 1
 
3.3%
0.82192 1
 
3.3%
0.36842 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0.0 7
23.3%
0.26667 1
 
3.3%
0.31818 1
 
3.3%
0.36842 1
 
3.3%
0.77419 1
 
3.3%
0.82192 1
 
3.3%
1.17647 1
 
3.3%
1.73109 1
 
3.3%
1.88136 1
 
3.3%
2.25 1
 
3.3%
ValueCountFrequency (%)
206.18899 1
3.3%
127.42197 1
3.3%
125.14109 1
3.3%
31.20172 1
3.3%
26.17323 1
3.3%
18.81268 1
3.3%
13.70242 1
3.3%
13.29545 1
3.3%
9.26471 1
3.3%
7.80488 1
3.3%
Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.364728
Minimum0
Maximum239.11809
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:39.607886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.274925
Q38.158685
95-th percentile88.69364
Maximum239.11809
Range239.11809
Interquartile range (IQR)8.158685

Descriptive statistics

Standard deviation48.497041
Coefficient of variation (CV)2.640771
Kurtosis16.040021
Mean18.364728
Median Absolute Deviation (MAD)2.274925
Skewness3.8934333
Sum550.94184
Variance2351.963
MonotonicityNot monotonic
2023-12-11T00:03:39.910916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 10
33.3%
1.87234 1
 
3.3%
4.75862 1
 
3.3%
3.81188 1
 
3.3%
4.5 1
 
3.3%
2.96429 1
 
3.3%
1.72222 1
 
3.3%
2.58621 1
 
3.3%
129.01594 1
 
3.3%
25.52809 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0.0 10
33.3%
0.77778 1
 
3.3%
1.45833 1
 
3.3%
1.72222 1
 
3.3%
1.87234 1
 
3.3%
1.96364 1
 
3.3%
2.58621 1
 
3.3%
2.96429 1
 
3.3%
3.56757 1
 
3.3%
3.64444 1
 
3.3%
ValueCountFrequency (%)
239.11809 1
3.3%
129.01594 1
3.3%
39.41083 1
3.3%
37.26368 1
3.3%
25.52809 1
3.3%
19.26096 1
3.3%
18.42489 1
3.3%
9.29204 1
3.3%
4.75862 1
3.3%
4.5 1
3.3%
Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.85904
Minimum0
Maximum1858.1908
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:40.187017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.232145
median1.76747
Q36.33526
95-th percentile894.57506
Maximum1858.1908
Range1858.1908
Interquartile range (IQR)6.103115

Descriptive statistics

Standard deviation436.11419
Coefficient of variation (CV)3.638559
Kurtosis12.671903
Mean119.85904
Median Absolute Deviation (MAD)1.76747
Skewness3.7005022
Sum3595.7713
Variance190195.59
MonotonicityNot monotonic
2023-12-11T00:03:40.547502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 7
23.3%
1.14286 1
 
3.3%
0.71429 1
 
3.3%
1.73494 1
 
3.3%
6.47368 1
 
3.3%
19.22432 1
 
3.3%
59.72393 1
 
3.3%
1577.63508 1
 
3.3%
1.21053 1
 
3.3%
3.21951 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0.0 7
23.3%
0.16667 1
 
3.3%
0.42857 1
 
3.3%
0.71429 1
 
3.3%
0.91667 1
 
3.3%
1.0 1
 
3.3%
1.14286 1
 
3.3%
1.21053 1
 
3.3%
1.73494 1
 
3.3%
1.8 1
 
3.3%
ValueCountFrequency (%)
1858.19081 1
3.3%
1577.63508 1
3.3%
59.72393 1
3.3%
19.54286 1
3.3%
19.22432 1
3.3%
18.84615 1
3.3%
6.93252 1
3.3%
6.47368 1
3.3%
5.92 1
3.3%
3.63746 1
3.3%
Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.659834
Minimum0
Maximum889.56248
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:40.871793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.366165
Q38.287265
95-th percentile422.44719
Maximum889.56248
Range889.56248
Interquartile range (IQR)8.287265

Descriptive statistics

Standard deviation193.15132
Coefficient of variation (CV)3.0825381
Kurtosis13.423199
Mean62.659834
Median Absolute Deviation (MAD)1.366165
Skewness3.6697208
Sum1879.795
Variance37307.434
MonotonicityNot monotonic
2023-12-11T00:03:41.155012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 9
30.0%
597.1446 1
 
3.3%
0.88889 1
 
3.3%
77.79326 1
 
3.3%
26.66457 1
 
3.3%
3.38462 1
 
3.3%
2.02703 1
 
3.3%
13.4697 1
 
3.3%
889.56248 1
 
3.3%
3.0 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0.0 9
30.0%
0.11429 1
 
3.3%
0.66667 1
 
3.3%
0.76786 1
 
3.3%
0.80702 1
 
3.3%
0.88889 1
 
3.3%
0.89362 1
 
3.3%
1.83871 1
 
3.3%
2.02703 1
 
3.3%
2.05263 1
 
3.3%
ValueCountFrequency (%)
889.56248 1
3.3%
597.1446 1
3.3%
208.92814 1
3.3%
77.79326 1
3.3%
32.36025 1
3.3%
26.66457 1
3.3%
13.4697 1
3.3%
9.31373 1
3.3%
5.20787 1
3.3%
3.38462 1
3.3%
Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1622507
Minimum0
Maximum59.09489
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:41.434609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.2101
Q33.832815
95-th percentile29.679814
Maximum59.09489
Range59.09489
Interquartile range (IQR)3.832815

Descriptive statistics

Standard deviation12.989002
Coefficient of variation (CV)2.1078341
Kurtosis9.5099744
Mean6.1622507
Median Absolute Deviation (MAD)1.2101
Skewness2.9842669
Sum184.86752
Variance168.71417
MonotonicityNot monotonic
2023-12-11T00:03:41.712231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 11
36.7%
1.57576 1
 
3.3%
0.09375 1
 
3.3%
32.17371 1
 
3.3%
0.50505 1
 
3.3%
2.16393 1
 
3.3%
7.0 1
 
3.3%
2.18182 1
 
3.3%
2.08841 1
 
3.3%
3.68421 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0.0 11
36.7%
0.09375 1
 
3.3%
0.41935 1
 
3.3%
0.50505 1
 
3.3%
0.84444 1
 
3.3%
1.57576 1
 
3.3%
2.08841 1
 
3.3%
2.16393 1
 
3.3%
2.18182 1
 
3.3%
2.19048 1
 
3.3%
ValueCountFrequency (%)
59.09489 1
3.3%
32.17371 1
3.3%
26.63172 1
3.3%
24.58955 1
3.3%
7.0 1
3.3%
6.42405 1
3.3%
6.4 1
3.3%
3.88235 1
3.3%
3.68421 1
3.3%
2.92405 1
3.3%
Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.205548
Minimum0
Maximum482.03047
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:42.070847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4696925
median4.98788
Q315.360575
95-th percentile172.34415
Maximum482.03047
Range482.03047
Interquartile range (IQR)14.890883

Descriptive statistics

Standard deviation98.872016
Coefficient of variation (CV)3.0700305
Kurtosis16.516223
Mean32.205548
Median Absolute Deviation (MAD)4.98788
Skewness4.0385858
Sum966.16645
Variance9775.6756
MonotonicityNot monotonic
2023-12-11T00:03:42.376353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 7
23.3%
6.69388 1
 
3.3%
4.4 1
 
3.3%
18.31633 1
 
3.3%
7.04714 1
 
3.3%
7.61905 1
 
3.3%
16.78133 1
 
3.3%
279.95225 1
 
3.3%
0.44444 1
 
3.3%
482.03047 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0.0 7
23.3%
0.44444 1
 
3.3%
0.54545 1
 
3.3%
0.90541 1
 
3.3%
1.11765 1
 
3.3%
1.53846 1
 
3.3%
2.3 1
 
3.3%
4.33333 1
 
3.3%
4.4 1
 
3.3%
5.57576 1
 
3.3%
ValueCountFrequency (%)
482.03047 1
3.3%
279.95225 1
3.3%
40.82315 1
3.3%
21.22727 1
3.3%
18.31633 1
3.3%
18.02278 1
3.3%
16.78133 1
3.3%
16.01163 1
3.3%
13.40741 1
3.3%
10.87978 1
3.3%
Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-11T00:03:42.622559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:03:42.845306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26188933
Minimum0
Maximum2.96629
Zeros24
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:43.029500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.5981705
Maximum2.96629
Range2.96629
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.66939833
Coefficient of variation (CV)2.5560351
Kurtosis9.4731224
Mean0.26188933
Median Absolute Deviation (MAD)0
Skewness3.0212132
Sum7.85668
Variance0.44809413
MonotonicityNot monotonic
2023-12-11T00:03:43.266260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 24
80.0%
0.92914 1
 
3.3%
1.3791 1
 
3.3%
1.77741 1
 
3.3%
2.96629 1
 
3.3%
0.45349 1
 
3.3%
0.35125 1
 
3.3%
ValueCountFrequency (%)
0.0 24
80.0%
0.35125 1
 
3.3%
0.45349 1
 
3.3%
0.92914 1
 
3.3%
1.3791 1
 
3.3%
1.77741 1
 
3.3%
2.96629 1
 
3.3%
ValueCountFrequency (%)
2.96629 1
 
3.3%
1.77741 1
 
3.3%
1.3791 1
 
3.3%
0.92914 1
 
3.3%
0.45349 1
 
3.3%
0.35125 1
 
3.3%
0.0 24
80.0%
Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4487053
Minimum0
Maximum92.87894
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:43.512293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.80567
Q32.6425525
95-th percentile14.84042
Maximum92.87894
Range92.87894
Interquartile range (IQR)2.6425525

Descriptive statistics

Standard deviation17.000351
Coefficient of variation (CV)3.1200717
Kurtosis26.357689
Mean5.4487053
Median Absolute Deviation (MAD)0.80567
Skewness5.0221622
Sum163.46116
Variance289.01194
MonotonicityNot monotonic
2023-12-11T00:03:43.772870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 11
36.7%
2.0 1
 
3.3%
7.57143 1
 
3.3%
1.85185 1
 
3.3%
0.76923 1
 
3.3%
1.39583 1
 
3.3%
2.06422 1
 
3.3%
1.57143 1
 
3.3%
0.1875 1
 
3.3%
0.84211 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0.0 11
36.7%
0.1875 1
 
3.3%
0.44231 1
 
3.3%
0.54286 1
 
3.3%
0.76923 1
 
3.3%
0.84211 1
 
3.3%
1.39583 1
 
3.3%
1.57143 1
 
3.3%
1.85185 1
 
3.3%
2.0 1
 
3.3%
ValueCountFrequency (%)
92.87894 1
3.3%
18.21101 1
3.3%
10.72081 1
3.3%
7.57143 1
3.3%
7.18584 1
3.3%
7.0 1
3.3%
3.2093 1
3.3%
2.77686 1
3.3%
2.23963 1
3.3%
2.06422 1
3.3%
Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.680025
Minimum0
Maximum228.85828
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:44.017562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8900475
median2.63248
Q36.8255
95-th percentile54.074337
Maximum228.85828
Range228.85828
Interquartile range (IQR)5.9354525

Descriptive statistics

Standard deviation42.74216
Coefficient of variation (CV)2.7258987
Kurtosis22.978175
Mean15.680025
Median Absolute Deviation (MAD)2.47619
Skewness4.6086487
Sum470.40075
Variance1826.8923
MonotonicityNot monotonic
2023-12-11T00:03:44.268796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 6
 
20.0%
3.96774 1
 
3.3%
5.88095 1
 
3.3%
1.38462 1
 
3.3%
1.22105 1
 
3.3%
0.83673 1
 
3.3%
21.40361 1
 
3.3%
2.85714 1
 
3.3%
1.43939 1
 
3.3%
16.0 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0.0 6
20.0%
0.66667 1
 
3.3%
0.83673 1
 
3.3%
1.05 1
 
3.3%
1.22105 1
 
3.3%
1.34783 1
 
3.3%
1.38462 1
 
3.3%
1.43939 1
 
3.3%
1.54605 1
 
3.3%
2.61111 1
 
3.3%
ValueCountFrequency (%)
228.85828 1
3.3%
54.24747 1
3.3%
53.86273 1
3.3%
25.33649 1
3.3%
24.42105 1
3.3%
21.40361 1
3.3%
16.0 1
3.3%
7.14035 1
3.3%
5.88095 1
3.3%
4.95238 1
3.3%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.398906
Minimum0
Maximum45.31166
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:44.511514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7185125
median2.385185
Q36.9636425
95-th percentile42.409704
Maximum45.31166
Range45.31166
Interquartile range (IQR)6.24513

Descriptive statistics

Standard deviation12.786225
Coefficient of variation (CV)1.7281237
Kurtosis4.7559639
Mean7.398906
Median Absolute Deviation (MAD)1.98951
Skewness2.3999238
Sum221.96718
Variance163.48754
MonotonicityNot monotonic
2023-12-11T00:03:44.777011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 5
 
16.7%
2.0 1
 
3.3%
0.71429 1
 
3.3%
42.61224 1
 
3.3%
0.90909 1
 
3.3%
2.37037 1
 
3.3%
7.092 1
 
3.3%
45.31166 1
 
3.3%
0.66667 1
 
3.3%
13.83871 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0.0 5
16.7%
0.38462 1
 
3.3%
0.66667 1
 
3.3%
0.71429 1
 
3.3%
0.73118 1
 
3.3%
0.90909 1
 
3.3%
1.25 1
 
3.3%
1.62963 1
 
3.3%
1.82609 1
 
3.3%
2.0 1
 
3.3%
ValueCountFrequency (%)
45.31166 1
3.3%
42.61224 1
3.3%
42.16216 1
3.3%
13.83871 1
3.3%
13.51389 1
3.3%
10.10169 1
3.3%
9.20455 1
3.3%
7.092 1
3.3%
6.57857 1
3.3%
4.36364 1
3.3%
Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.572566
Minimum0
Maximum30.7451
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:45.032580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.757195
Q38.5489625
95-th percentile25.604784
Maximum30.7451
Range30.7451
Interquartile range (IQR)8.5489625

Descriptive statistics

Standard deviation8.8539754
Coefficient of variation (CV)1.5888507
Kurtosis2.2678108
Mean5.572566
Median Absolute Deviation (MAD)0.757195
Skewness1.761145
Sum167.17698
Variance78.392881
MonotonicityNot monotonic
2023-12-11T00:03:45.295493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 11
36.7%
13.11957 1
 
3.3%
9.24306 1
 
3.3%
0.39806 1
 
3.3%
30.7451 1
 
3.3%
0.56818 1
 
3.3%
17.8125 1
 
3.3%
1.64286 1
 
3.3%
28.96119 1
 
3.3%
1.1 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0.0 11
36.7%
0.36364 1
 
3.3%
0.39806 1
 
3.3%
0.56818 1
 
3.3%
0.71111 1
 
3.3%
0.80328 1
 
3.3%
1.1 1
 
3.3%
1.33333 1
 
3.3%
1.64286 1
 
3.3%
4.16667 1
 
3.3%
ValueCountFrequency (%)
30.7451 1
3.3%
28.96119 1
3.3%
21.50251 1
3.3%
17.8125 1
3.3%
14.37701 1
3.3%
13.11957 1
3.3%
9.61224 1
3.3%
9.24306 1
3.3%
6.46667 1
3.3%
4.25 1
3.3%
Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8415057
Minimum0
Maximum30.56805
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:45.555301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.28205
median0.87594
Q34.2911925
95-th percentile28.139172
Maximum30.56805
Range30.56805
Interquartile range (IQR)4.0091425

Descriptive statistics

Standard deviation8.7474271
Coefficient of variation (CV)1.8067576
Kurtosis4.318394
Mean4.8415057
Median Absolute Deviation (MAD)0.87594
Skewness2.2930445
Sum145.24517
Variance76.51748
MonotonicityNot monotonic
2023-12-11T00:03:45.814976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 7
23.3%
0.82353 2
 
6.7%
0.46154 1
 
3.3%
4.22727 1
 
3.3%
25.33926 1
 
3.3%
0.76923 1
 
3.3%
30.56805 1
 
3.3%
1.52941 1
 
3.3%
0.71429 1
 
3.3%
0.85714 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0.0 7
23.3%
0.22222 1
 
3.3%
0.46154 1
 
3.3%
0.66667 1
 
3.3%
0.71429 1
 
3.3%
0.76923 1
 
3.3%
0.82353 2
 
6.7%
0.85714 1
 
3.3%
0.89474 1
 
3.3%
0.90909 1
 
3.3%
ValueCountFrequency (%)
30.56805 1
3.3%
30.43001 1
3.3%
25.33926 1
3.3%
13.26563 1
3.3%
10.51982 1
3.3%
6.76596 1
3.3%
5.3012 1
3.3%
4.3125 1
3.3%
4.22727 1
3.3%
3.45946 1
3.3%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.718743
Minimum0
Maximum527.98143
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:46.093148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7949275
median2.048215
Q36.3406575
95-th percentile23.990196
Maximum527.98143
Range527.98143
Interquartile range (IQR)5.54573

Descriptive statistics

Standard deviation95.691944
Coefficient of variation (CV)4.2120264
Kurtosis29.635837
Mean22.718743
Median Absolute Deviation (MAD)1.798215
Skewness5.4296936
Sum681.56228
Variance9156.9481
MonotonicityNot monotonic
2023-12-11T00:03:46.378987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 4
 
13.3%
0.71429 2
 
6.7%
22.80488 1
 
3.3%
24.96 1
 
3.3%
1.96581 1
 
3.3%
1.375 1
 
3.3%
5.22353 1
 
3.3%
0.85714 1
 
3.3%
12.55556 1
 
3.3%
2.84211 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0.0 4
13.3%
0.5 1
 
3.3%
0.71429 2
6.7%
0.77419 1
 
3.3%
0.85714 1
 
3.3%
0.88889 1
 
3.3%
1.375 1
 
3.3%
1.5 1
 
3.3%
1.96581 1
 
3.3%
2.0 1
 
3.3%
ValueCountFrequency (%)
527.98143 1
3.3%
24.96 1
3.3%
22.80488 1
3.3%
21.97959 1
3.3%
12.80102 1
3.3%
12.55556 1
3.3%
12.06349 1
3.3%
6.42857 1
3.3%
6.07692 1
3.3%
5.22353 1
3.3%
Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.175805
Minimum0
Maximum320.94915
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:46.649572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.9746725
median3.80781
Q38.027745
95-th percentile26.370218
Maximum320.94915
Range320.94915
Interquartile range (IQR)7.0530725

Descriptive statistics

Standard deviation58.015153
Coefficient of variation (CV)3.5865389
Kurtosis28.97426
Mean16.175805
Median Absolute Deviation (MAD)3.742055
Skewness5.3464346
Sum485.27414
Variance3365.758
MonotonicityNot monotonic
2023-12-11T00:03:46.919451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 6
 
20.0%
4.39535 1
 
3.3%
12.26708 1
 
3.3%
3.0 1
 
3.3%
2.57143 1
 
3.3%
7.35912 1
 
3.3%
5.35484 1
 
3.3%
4.18705 1
 
3.3%
1.07692 1
 
3.3%
8.0566 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0.0 6
20.0%
0.13151 1
 
3.3%
0.94059 1
 
3.3%
1.07692 1
 
3.3%
1.73377 1
 
3.3%
2.57143 1
 
3.3%
2.82927 1
 
3.3%
3.0 1
 
3.3%
3.36842 1
 
3.3%
3.42857 1
 
3.3%
ValueCountFrequency (%)
320.94915 1
3.3%
36.28676 1
3.3%
14.25 1
3.3%
13.50877 1
3.3%
12.46154 1
3.3%
12.26708 1
3.3%
9.85401 1
3.3%
8.0566 1
3.3%
7.94118 1
3.3%
7.35912 1
3.3%
Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0459713
Minimum0
Maximum123.62653
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:47.215180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.39082
Q37.1832475
95-th percentile30.013258
Maximum123.62653
Range123.62653
Interquartile range (IQR)7.1832475

Descriptive statistics

Standard deviation23.070073
Coefficient of variation (CV)2.5503147
Kurtosis22.568282
Mean9.0459713
Median Absolute Deviation (MAD)1.39082
Skewness4.5593809
Sum271.37914
Variance532.22828
MonotonicityNot monotonic
2023-12-11T00:03:47.519626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 9
30.0%
0.20455 1
 
3.3%
0.07692 1
 
3.3%
1.22 1
 
3.3%
23.42202 1
 
3.3%
0.6875 1
 
3.3%
1.17021 1
 
3.3%
1.56164 1
 
3.3%
0.61538 1
 
3.3%
7.27586 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0.0 9
30.0%
0.07692 1
 
3.3%
0.20455 1
 
3.3%
0.61538 1
 
3.3%
0.6875 1
 
3.3%
1.17021 1
 
3.3%
1.22 1
 
3.3%
1.56164 1
 
3.3%
2.91803 1
 
3.3%
3.66667 1
 
3.3%
ValueCountFrequency (%)
123.62653 1
3.3%
35.40609 1
3.3%
23.42202 1
3.3%
18.36967 1
3.3%
9.26829 1
3.3%
8.47059 1
3.3%
8.2 1
3.3%
7.27586 1
3.3%
6.90541 1
3.3%
6.80488 1
3.3%
Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.937664
Minimum0
Maximum89.98646
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:03:48.211730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.421545
Q36.59632
95-th percentile61.992325
Maximum89.98646
Range89.98646
Interquartile range (IQR)6.59632

Descriptive statistics

Standard deviation22.282405
Coefficient of variation (CV)2.0372178
Kurtosis6.7637339
Mean10.937664
Median Absolute Deviation (MAD)2.421545
Skewness2.6955751
Sum328.12993
Variance496.50555
MonotonicityNot monotonic
2023-12-11T00:03:48.452000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 10
33.3%
12.55397 1
 
3.3%
14.22857 1
 
3.3%
4.78528 1
 
3.3%
1.13889 1
 
3.3%
38.96274 1
 
3.3%
2.17582 1
 
3.3%
4.69565 1
 
3.3%
45.42489 1
 
3.3%
0.81818 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0.0 10
33.3%
0.81818 1
 
3.3%
1.13889 1
 
3.3%
1.89474 1
 
3.3%
2.17582 1
 
3.3%
2.375 1
 
3.3%
2.46809 1
 
3.3%
3.63158 1
 
3.3%
4.1267 1
 
3.3%
4.2 1
 
3.3%
ValueCountFrequency (%)
89.98646 1
3.3%
75.5475 1
3.3%
45.42489 1
3.3%
38.96274 1
3.3%
14.22857 1
3.3%
12.55397 1
3.3%
7.26471 1
3.3%
7.2 1
3.3%
4.78528 1
3.3%
4.69565 1
3.3%

적재일시(ldadng_dt)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2017-12-28 10:10:43
28 
2017-12-28 10:10:45
 
2

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-12-28 10:10:43
2nd row2017-12-28 10:10:43
3rd row2017-12-28 10:10:43
4th row2017-12-28 10:10:43
5th row2017-12-28 10:10:43

Common Values

ValueCountFrequency (%)
2017-12-28 10:10:43 28
93.3%
2017-12-28 10:10:45 2
 
6.7%

Length

2023-12-11T00:03:48.724912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:03:48.949157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-12-28 30
50.0%
10:10:43 28
46.7%
10:10:45 2
 
3.3%

Sample

집계구코드(oa_cd)공간정보(geom)년월(ym)총_직장인구수(tot_wrc_popltn_co)남성_직장인구수(male_wrc_popltn_co)여성_직장인구수(female_wrc_popltn_co)연령대10_직장인구수(agrde_10_wrc_popltn_co)연령대15_직장인구수(agrde_15_wrc_popltn_co)연령대20_직장인구수(agrde_20_wrc_popltn_co)연령대25_직장인구수(agrde_25_wrc_popltn_co)연령대30_직장인구수(agrde_30_wrc_popltn_co)연령대35_직장인구수(agrde_35_wrc_popltn_co)연령대40_직장인구수(agrde_40_wrc_popltn_co)연령대45_직장인구수(agrde_45_wrc_popltn_co)연령대50_직장인구수(agrde_50_wrc_popltn_co)연령대55_직장인구수(agrde_55_wrc_popltn_co)연령대60_직장인구수(agrde_60_wrc_popltn_co)남성연령대10_직장인구수(male_agrde_10_wrc_popltn_co)남성연령대15_직장인구수(male_agrde_15_wrc_popltn_co)남성연령대20_직장인구수(male_agrde_20_wrc_popltn_co)남성연령대25_직장인구수(male_agrde_25_wrc_popltn_co)남성연령대30_직장인구수(male_agrde_30_wrc_popltn_co)남성연령대35_직장인구수(male_agrde_35_wrc_popltn_co)남성연령대40_직장인구수(male_agrde_40_wrc_popltn_co)남성연령대45_직장인구수(male_agrde_45_wrc_popltn_co)남성연령대50_직장인구수(male_agrde_50_wrc_popltn_co)남성연령대55_직장인구수(male_agrde_55_wrc_popltn_co)남성연령대60_직장인구수(male_agrde_60_wrc_popltn_co)여성연령대10_직장인구수(female_agrde_10_wrc_popltn_co)여성연령대15_직장인구수(female_agrde_15_wrc_popltn_co)여성연령대20_직장인구수(female_agrde_20_wrc_popltn_co)여성연령대25_직장인구수(female_agrde_25_wrc_popltn_co)여성연령대30_직장인구수(female_agrde_30_wrc_popltn_co)여성연령대35_직장인구수(female_agrde_35_wrc_popltn_co)여성연령대40_직장인구수(female_agrde_40_wrc_popltn_co)여성연령대45_직장인구수(female_agrde_45_wrc_popltn_co)여성연령대50_직장인구수(female_agrde_50_wrc_popltn_co)여성연령대55_직장인구수(female_agrde_55_wrc_popltn_co)여성연령대60_직장인구수(female_agrde_60_wrc_popltn_co)적재일시(ldadng_dt)
01112060020003M*L*I*O*Y*O*(*(*0*0*2*0*0*9*2*3*5*6*9*.*2*9*9*3*,*0*0*4*6*1*6*8*8*5*6*5*.*2*7*3*5*2*4*2*.*6*9*0*5* *4*1*8*8*6*1*9*5*2*4*2*.*2*7*0*0* *4*1*5*7*6*6*2*,*0*9*5*9*7*9*5*1*5*6*3*.*6*9*9*0*,*0*9*9*9*8*7*4*4*5*6*9*.*9*2*7*7*,*0*9*2*5*9*5*8*7*5*6*8*.*7*3*7*2*,*0*8*4*8*0*7*0*1*5*6*6*.*2*7*1*9*,*0*8*4*3*1*4*0* *4*1*3*2*9*4*2*9*2*3*6*.*9*7*8*3* *4*1*4*3*6*2*8*1*2*3*4*.*8*0*0*2* *4*1*9*6*7*5*0*,*0*9*1*0*6*0*6*6*5*6*7*.*1*1*4*0*,*0*0*0*7*7*7*3* *4*2*3*1*9*2*2*3*2*4*3*.*8*0*7*9* *4*1*0*2*3*0*9*8*)*2016125.9999925.0000118.3666700.00.013.8790.00.723131.760871.9821425.890413.619571.2500.02.3751.629630.04.41.872341.14286597.14460.06.6938800.02.03.967742.00.00.4615422.804884.395350.012.553972017-12-28 10:10:43
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집계구코드(oa_cd)공간정보(geom)년월(ym)총_직장인구수(tot_wrc_popltn_co)남성_직장인구수(male_wrc_popltn_co)여성_직장인구수(female_wrc_popltn_co)연령대10_직장인구수(agrde_10_wrc_popltn_co)연령대15_직장인구수(agrde_15_wrc_popltn_co)연령대20_직장인구수(agrde_20_wrc_popltn_co)연령대25_직장인구수(agrde_25_wrc_popltn_co)연령대30_직장인구수(agrde_30_wrc_popltn_co)연령대35_직장인구수(agrde_35_wrc_popltn_co)연령대40_직장인구수(agrde_40_wrc_popltn_co)연령대45_직장인구수(agrde_45_wrc_popltn_co)연령대50_직장인구수(agrde_50_wrc_popltn_co)연령대55_직장인구수(agrde_55_wrc_popltn_co)연령대60_직장인구수(agrde_60_wrc_popltn_co)남성연령대10_직장인구수(male_agrde_10_wrc_popltn_co)남성연령대15_직장인구수(male_agrde_15_wrc_popltn_co)남성연령대20_직장인구수(male_agrde_20_wrc_popltn_co)남성연령대25_직장인구수(male_agrde_25_wrc_popltn_co)남성연령대30_직장인구수(male_agrde_30_wrc_popltn_co)남성연령대35_직장인구수(male_agrde_35_wrc_popltn_co)남성연령대40_직장인구수(male_agrde_40_wrc_popltn_co)남성연령대45_직장인구수(male_agrde_45_wrc_popltn_co)남성연령대50_직장인구수(male_agrde_50_wrc_popltn_co)남성연령대55_직장인구수(male_agrde_55_wrc_popltn_co)남성연령대60_직장인구수(male_agrde_60_wrc_popltn_co)여성연령대10_직장인구수(female_agrde_10_wrc_popltn_co)여성연령대15_직장인구수(female_agrde_15_wrc_popltn_co)여성연령대20_직장인구수(female_agrde_20_wrc_popltn_co)여성연령대25_직장인구수(female_agrde_25_wrc_popltn_co)여성연령대30_직장인구수(female_agrde_30_wrc_popltn_co)여성연령대35_직장인구수(female_agrde_35_wrc_popltn_co)여성연령대40_직장인구수(female_agrde_40_wrc_popltn_co)여성연령대45_직장인구수(female_agrde_45_wrc_popltn_co)여성연령대50_직장인구수(female_agrde_50_wrc_popltn_co)여성연령대55_직장인구수(female_agrde_55_wrc_popltn_co)여성연령대60_직장인구수(female_agrde_60_wrc_popltn_co)적재일시(ldadng_dt)
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