Overview

Dataset statistics

Number of variables52
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.3 KiB
Average record size in memory469.3 B

Variable types

Categorical1
Text1
Numeric50

Dataset

Description전국 경찰관서에 고소, 고발, 인지 등으로 형사입건된 사건의 발생, 검거, 피의자에 대한 죄종별 분석 현황
Author경찰청
URLhttps://www.data.go.kr/data/3074469/fileData.do

Alerts

피고용자(소계) has unique valuesUnique
기타(기타) has unique valuesUnique
무직자 has unique valuesUnique
미상 has unique valuesUnique
자영업(농.임.수산업) has 1 (2.5%) zerosZeros
자영업(광업) has 26 (65.0%) zerosZeros
자영업(제조업) has 11 (27.5%) zerosZeros
자영업(건설업) has 3 (7.5%) zerosZeros
자영업(도.소매업) has 10 (25.0%) zerosZeros
자영업(무역업) has 13 (32.5%) zerosZeros
자영업(요식업) has 5 (12.5%) zerosZeros
자영업(숙박업) has 9 (22.5%) zerosZeros
자영업(유흥업) has 7 (17.5%) zerosZeros
자영업(금융업) has 14 (35.0%) zerosZeros
자영업(부동산업) has 7 (17.5%) zerosZeros
자영업(의료보건업) has 16 (40.0%) zerosZeros
자영업(차량정비업) has 11 (27.5%) zerosZeros
자영업(노점) has 18 (45.0%) zerosZeros
자영업(행상) has 29 (72.5%) zerosZeros
피고용자(교원(사립)) has 14 (35.0%) zerosZeros
피고용자(사무원) has 7 (17.5%) zerosZeros
피고용자(기술자) has 5 (12.5%) zerosZeros
피고용자(점원) has 14 (35.0%) zerosZeros
피고용자(공원) has 7 (17.5%) zerosZeros
피고용자(운전사) has 2 (5.0%) zerosZeros
피고용자(경비원) has 7 (17.5%) zerosZeros
피고용자(외판원) has 10 (25.0%) zerosZeros
피고용자(국공영기업체직원) has 14 (35.0%) zerosZeros
피고용자(금융기관직원) has 13 (32.5%) zerosZeros
피고용자(유흥업종사자) has 8 (20.0%) zerosZeros
피고용자(요식업종사자) has 6 (15.0%) zerosZeros
피고용자(일용노동자) has 1 (2.5%) zerosZeros
전문직(의사) has 3 (7.5%) zerosZeros
전문직(변호사) has 16 (40.0%) zerosZeros
전문직(교수) has 13 (32.5%) zerosZeros
전문직(종교가) has 7 (17.5%) zerosZeros
전문직(언론인) has 10 (25.0%) zerosZeros
전문직(예술인) has 9 (22.5%) zerosZeros
전문직(기타전문직) has 1 (2.5%) zerosZeros
공무원 has 3 (7.5%) zerosZeros
기타(학생) has 3 (7.5%) zerosZeros
기타(주부) has 3 (7.5%) zerosZeros
기타(전경.의경) has 21 (52.5%) zerosZeros
기타(공익요원) has 12 (30.0%) zerosZeros

Reproduction

Analysis started2023-12-12 23:59:32.632510
Analysis finished2023-12-12 23:59:33.064293
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

범죄대분류
Categorical

Distinct15
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
지능범죄
10 
강력범죄
폭력범죄
풍속범죄
절도범죄
 
1
Other values (10)
10 

Length

Max length6
Median length4
Mean length4.05
Min length4

Unique

Unique11 ?
Unique (%)27.5%

Sample

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

Common Values

ValueCountFrequency (%)
지능범죄 10
25.0%
강력범죄 8
20.0%
폭력범죄 8
20.0%
풍속범죄 3
 
7.5%
절도범죄 1
 
2.5%
특별경제범죄 1
 
2.5%
마약범죄 1
 
2.5%
보건범죄 1
 
2.5%
환경범죄 1
 
2.5%
교통범죄 1
 
2.5%
Other values (5) 5
12.5%

Length

2023-12-13T08:59:33.128965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지능범죄 10
25.0%
강력범죄 8
20.0%
폭력범죄 8
20.0%
풍속범죄 3
 
7.5%
절도범죄 1
 
2.5%
특별경제범죄 1
 
2.5%
마약범죄 1
 
2.5%
보건범죄 1
 
2.5%
환경범죄 1
 
2.5%
교통범죄 1
 
2.5%
Other values (5) 5
12.5%
Distinct28
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T08:59:33.252640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length2
Mean length3.1
Min length2

Characters and Unicode

Total characters124
Distinct characters59
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)67.5%

Sample

1st row살인기수
2nd row살인미수등
3rd row강도
4th row강간
5th row유사강간
ValueCountFrequency (%)
소계 13
28.9%
강간 2
 
4.4%
폭력행위등 1
 
2.2%
공갈 1
 
2.2%
성풍속범죄 1
 
2.2%
배임 1
 
2.2%
횡령 1
 
2.2%
사기 1
 
2.2%
유가증권인지 1
 
2.2%
인장 1
 
2.2%
Other values (22) 22
48.9%
2023-12-13T08:59:33.468533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
10.5%
13
 
10.5%
6
 
4.8%
5
 
4.0%
5
 
4.0%
4
 
3.2%
4
 
3.2%
4
 
3.2%
3
 
2.4%
3
 
2.4%
Other values (49) 64
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119
96.0%
Space Separator 5
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
10.9%
13
 
10.9%
6
 
5.0%
5
 
4.2%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.5%
3
 
2.5%
3
 
2.5%
Other values (48) 61
51.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 119
96.0%
Common 5
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13
 
10.9%
13
 
10.9%
6
 
5.0%
5
 
4.2%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.5%
3
 
2.5%
3
 
2.5%
Other values (48) 61
51.3%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 119
96.0%
ASCII 5
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
13
 
10.9%
13
 
10.9%
6
 
5.0%
5
 
4.2%
4
 
3.4%
4
 
3.4%
4
 
3.4%
3
 
2.5%
3
 
2.5%
3
 
2.5%
Other values (48) 61
51.3%
ASCII
ValueCountFrequency (%)
5
100.0%

자영업(소계)
Real number (ℝ)

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7906.2
Minimum6
Maximum59406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:33.567304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10.95
Q1108
median1275.5
Q36164.75
95-th percentile49130.1
Maximum59406
Range59400
Interquartile range (IQR)6056.75

Descriptive statistics

Standard deviation15591.489
Coefficient of variation (CV)1.9720585
Kurtosis4.7754069
Mean7906.2
Median Absolute Deviation (MAD)1243.5
Skewness2.4138256
Sum316248
Variance2.4309453 × 108
MonotonicityNot monotonic
2023-12-13T08:59:33.660120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
34 3
 
7.5%
13782 1
 
2.5%
30 1
 
2.5%
38369 1
 
2.5%
5737 1
 
2.5%
1766 1
 
2.5%
5791 1
 
2.5%
934 1
 
2.5%
4857 1
 
2.5%
1617 1
 
2.5%
Other values (28) 28
70.0%
ValueCountFrequency (%)
6 1
 
2.5%
10 1
 
2.5%
11 1
 
2.5%
30 1
 
2.5%
34 3
7.5%
39 1
 
2.5%
50 1
 
2.5%
87 1
 
2.5%
115 1
 
2.5%
130 1
 
2.5%
ValueCountFrequency (%)
59406 1
2.5%
54471 1
2.5%
48849 1
2.5%
38369 1
2.5%
32429 1
2.5%
13782 1
2.5%
8542 1
2.5%
7915 1
2.5%
7374 1
2.5%
7286 1
2.5%

자영업(농.임.수산업)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean930.325
Minimum0
Maximum12017
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:33.756779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.95
Q110
median119
Q3801.25
95-th percentile3356.75
Maximum12017
Range12017
Interquartile range (IQR)791.25

Descriptive statistics

Standard deviation2221.813
Coefficient of variation (CV)2.3882116
Kurtosis17.269874
Mean930.325
Median Absolute Deviation (MAD)116.5
Skewness3.9663442
Sum37213
Variance4936452.8
MonotonicityNot monotonic
2023-12-13T08:59:33.865955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4 2
 
5.0%
2 2
 
5.0%
3 2
 
5.0%
10 2
 
5.0%
17 2
 
5.0%
597 1
 
2.5%
161 1
 
2.5%
850 1
 
2.5%
65 1
 
2.5%
785 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
0 1
2.5%
1 1
2.5%
2 2
5.0%
3 2
5.0%
4 2
5.0%
6 1
2.5%
10 2
5.0%
11 1
2.5%
17 2
5.0%
26 1
2.5%
ValueCountFrequency (%)
12017 1
2.5%
7209 1
2.5%
3154 1
2.5%
2779 1
2.5%
2053 1
2.5%
1415 1
2.5%
1398 1
2.5%
1205 1
2.5%
921 1
2.5%
850 1
2.5%

자영업(광업)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.225
Minimum0
Maximum26
Zeros26
Zeros (%)65.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:33.948251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.25
95-th percentile10.55
Maximum26
Range26
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation5.3946198
Coefficient of variation (CV)2.4245482
Kurtosis12.582588
Mean2.225
Median Absolute Deviation (MAD)0
Skewness3.4883547
Sum89
Variance29.101923
MonotonicityNot monotonic
2023-12-13T08:59:34.024643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 26
65.0%
1 3
 
7.5%
3 3
 
7.5%
4 2
 
5.0%
5 2
 
5.0%
2 1
 
2.5%
26 1
 
2.5%
21 1
 
2.5%
10 1
 
2.5%
ValueCountFrequency (%)
0 26
65.0%
1 3
 
7.5%
2 1
 
2.5%
3 3
 
7.5%
4 2
 
5.0%
5 2
 
5.0%
10 1
 
2.5%
21 1
 
2.5%
26 1
 
2.5%
ValueCountFrequency (%)
26 1
 
2.5%
21 1
 
2.5%
10 1
 
2.5%
5 2
 
5.0%
4 2
 
5.0%
3 3
 
7.5%
2 1
 
2.5%
1 3
 
7.5%
0 26
65.0%

자영업(제조업)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.025
Minimum0
Maximum1091
Zeros11
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:34.113381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q3107.75
95-th percentile854.8
Maximum1091
Range1091
Interquartile range (IQR)107.75

Descriptive statistics

Standard deviation284.3578
Coefficient of variation (CV)1.9743642
Kurtosis4.6964408
Mean144.025
Median Absolute Deviation (MAD)20
Skewness2.3982113
Sum5761
Variance80859.358
MonotonicityNot monotonic
2023-12-13T08:59:34.205119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 11
27.5%
2 3
 
7.5%
138 1
 
2.5%
965 1
 
2.5%
6 1
 
2.5%
1 1
 
2.5%
820 1
 
2.5%
135 1
 
2.5%
71 1
 
2.5%
11 1
 
2.5%
Other values (18) 18
45.0%
ValueCountFrequency (%)
0 11
27.5%
1 1
 
2.5%
2 3
 
7.5%
4 1
 
2.5%
6 1
 
2.5%
7 1
 
2.5%
11 1
 
2.5%
12 1
 
2.5%
28 1
 
2.5%
42 1
 
2.5%
ValueCountFrequency (%)
1091 1
2.5%
965 1
2.5%
849 1
2.5%
820 1
2.5%
462 1
2.5%
377 1
2.5%
138 1
2.5%
135 1
2.5%
124 1
2.5%
110 1
2.5%

자영업(건설업)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean894.975
Minimum0
Maximum8862
Zeros3
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:34.300732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.75
median62
Q3591.25
95-th percentile4434.25
Maximum8862
Range8862
Interquartile range (IQR)583.5

Descriptive statistics

Standard deviation1981.4827
Coefficient of variation (CV)2.2140089
Kurtosis8.6356247
Mean894.975
Median Absolute Deviation (MAD)62
Skewness2.9648429
Sum35799
Variance3926273.5
MonotonicityNot monotonic
2023-12-13T08:59:34.400355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 3
 
7.5%
1 2
 
5.0%
7 2
 
5.0%
8 2
 
5.0%
4278 1
 
2.5%
27 1
 
2.5%
16 1
 
2.5%
5 1
 
2.5%
4247 1
 
2.5%
287 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
0 3
7.5%
1 2
5.0%
4 1
 
2.5%
5 1
 
2.5%
6 1
 
2.5%
7 2
5.0%
8 2
5.0%
16 1
 
2.5%
22 1
 
2.5%
23 1
 
2.5%
ValueCountFrequency (%)
8862 1
2.5%
7403 1
2.5%
4278 1
2.5%
4247 1
2.5%
3238 1
2.5%
1045 1
2.5%
942 1
2.5%
812 1
2.5%
750 1
2.5%
700 1
2.5%

자영업(도.소매업)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.825
Minimum0
Maximum465
Zeros10
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:34.506935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median5.5
Q336.25
95-th percentile343.2
Maximum465
Range465
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation115.71359
Coefficient of variation (CV)2.0727916
Kurtosis5.2372217
Mean55.825
Median Absolute Deviation (MAD)5.5
Skewness2.4745443
Sum2233
Variance13389.635
MonotonicityNot monotonic
2023-12-13T08:59:34.599788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 10
25.0%
1 5
 
12.5%
15 2
 
5.0%
3 2
 
5.0%
5 2
 
5.0%
8 1
 
2.5%
465 1
 
2.5%
2 1
 
2.5%
341 1
 
2.5%
75 1
 
2.5%
Other values (14) 14
35.0%
ValueCountFrequency (%)
0 10
25.0%
1 5
12.5%
2 1
 
2.5%
3 2
 
5.0%
5 2
 
5.0%
6 1
 
2.5%
7 1
 
2.5%
8 1
 
2.5%
14 1
 
2.5%
15 2
 
5.0%
ValueCountFrequency (%)
465 1
2.5%
385 1
2.5%
341 1
2.5%
305 1
2.5%
191 1
2.5%
145 1
2.5%
75 1
2.5%
51 1
2.5%
48 1
2.5%
37 1
2.5%

자영업(무역업)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.675
Minimum0
Maximum553
Zeros13
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:34.695146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q329.25
95-th percentile323.9
Maximum553
Range553
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation121.93386
Coefficient of variation (CV)2.4546323
Kurtosis10.532557
Mean49.675
Median Absolute Deviation (MAD)3
Skewness3.2873167
Sum1987
Variance14867.866
MonotonicityNot monotonic
2023-12-13T08:59:34.837631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 13
32.5%
1 4
 
10.0%
3 3
 
7.5%
13 2
 
5.0%
10 2
 
5.0%
49 1
 
2.5%
316 1
 
2.5%
129 1
 
2.5%
2 1
 
2.5%
34 1
 
2.5%
Other values (11) 11
27.5%
ValueCountFrequency (%)
0 13
32.5%
1 4
 
10.0%
2 1
 
2.5%
3 3
 
7.5%
5 1
 
2.5%
10 2
 
5.0%
11 1
 
2.5%
13 2
 
5.0%
19 1
 
2.5%
20 1
 
2.5%
ValueCountFrequency (%)
553 1
2.5%
474 1
2.5%
316 1
2.5%
129 1
2.5%
119 1
2.5%
93 1
2.5%
49 1
2.5%
43 1
2.5%
34 1
2.5%
33 1
2.5%

자영업(요식업)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.725
Minimum0
Maximum1797
Zeros5
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:34.932849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.75
median27.5
Q3211.5
95-th percentile1293.65
Maximum1797
Range1797
Interquartile range (IQR)208.75

Descriptive statistics

Standard deviation467.46183
Coefficient of variation (CV)1.9101515
Kurtosis4.8748792
Mean244.725
Median Absolute Deviation (MAD)27.5
Skewness2.3777439
Sum9789
Variance218520.56
MonotonicityNot monotonic
2023-12-13T08:59:35.046731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 5
 
12.5%
1 3
 
7.5%
6 3
 
7.5%
3 2
 
5.0%
2 2
 
5.0%
16 2
 
5.0%
222 1
 
2.5%
47 1
 
2.5%
175 1
 
2.5%
337 1
 
2.5%
Other values (19) 19
47.5%
ValueCountFrequency (%)
0 5
12.5%
1 3
7.5%
2 2
 
5.0%
3 2
 
5.0%
4 1
 
2.5%
5 1
 
2.5%
6 3
7.5%
16 2
 
5.0%
23 1
 
2.5%
32 1
 
2.5%
ValueCountFrequency (%)
1797 1
2.5%
1743 1
2.5%
1270 1
2.5%
1163 1
2.5%
925 1
2.5%
596 1
2.5%
337 1
2.5%
315 1
2.5%
246 1
2.5%
222 1
2.5%

자영업(숙박업)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.25
Minimum0
Maximum828
Zeros9
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:35.159081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6.5
Q337
95-th percentile220.15
Maximum828
Range828
Interquartile range (IQR)36

Descriptive statistics

Standard deviation139.69449
Coefficient of variation (CV)2.5284071
Kurtosis24.956196
Mean55.25
Median Absolute Deviation (MAD)6.5
Skewness4.6737732
Sum2210
Variance19514.551
MonotonicityNot monotonic
2023-12-13T08:59:35.252138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 9
22.5%
1 4
 
10.0%
2 4
 
10.0%
17 2
 
5.0%
60 2
 
5.0%
33 1
 
2.5%
828 1
 
2.5%
3 1
 
2.5%
116 1
 
2.5%
171 1
 
2.5%
Other values (14) 14
35.0%
ValueCountFrequency (%)
0 9
22.5%
1 4
10.0%
2 4
10.0%
3 1
 
2.5%
4 1
 
2.5%
5 1
 
2.5%
8 1
 
2.5%
10 1
 
2.5%
16 1
 
2.5%
17 2
 
5.0%
ValueCountFrequency (%)
828 1
2.5%
242 1
2.5%
219 1
2.5%
172 1
2.5%
171 1
2.5%
116 1
2.5%
66 1
2.5%
60 2
5.0%
49 1
2.5%
33 1
2.5%

자영업(유흥업)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.45
Minimum0
Maximum2190
Zeros7
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:35.348577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10.5
Q370.5
95-th percentile460.95
Maximum2190
Range2190
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation356.65928
Coefficient of variation (CV)3.0110535
Kurtosis30.873001
Mean118.45
Median Absolute Deviation (MAD)10.5
Skewness5.3307346
Sum4738
Variance127205.84
MonotonicityNot monotonic
2023-12-13T08:59:35.442714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 7
17.5%
2 3
 
7.5%
7 2
 
5.0%
3 2
 
5.0%
1 2
 
5.0%
72 2
 
5.0%
5 2
 
5.0%
21 1
 
2.5%
2190 1
 
2.5%
6 1
 
2.5%
Other values (17) 17
42.5%
ValueCountFrequency (%)
0 7
17.5%
1 2
 
5.0%
2 3
7.5%
3 2
 
5.0%
5 2
 
5.0%
6 1
 
2.5%
7 2
 
5.0%
8 1
 
2.5%
13 1
 
2.5%
14 1
 
2.5%
ValueCountFrequency (%)
2190 1
2.5%
517 1
2.5%
458 1
2.5%
266 1
2.5%
238 1
2.5%
230 1
2.5%
155 1
2.5%
135 1
2.5%
72 2
5.0%
70 1
2.5%

자영업(금융업)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.575
Minimum0
Maximum309
Zeros14
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:35.535128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q311.75
95-th percentile181.05
Maximum309
Range309
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation65.26431
Coefficient of variation (CV)2.3667927
Kurtosis10.284191
Mean27.575
Median Absolute Deviation (MAD)3.5
Skewness3.1889004
Sum1103
Variance4259.4301
MonotonicityNot monotonic
2023-12-13T08:59:35.634235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 14
35.0%
3 3
 
7.5%
5 2
 
5.0%
11 2
 
5.0%
7 2
 
5.0%
1 2
 
5.0%
23 1
 
2.5%
92 1
 
2.5%
78 1
 
2.5%
309 1
 
2.5%
Other values (11) 11
27.5%
ValueCountFrequency (%)
0 14
35.0%
1 2
 
5.0%
2 1
 
2.5%
3 3
 
7.5%
4 1
 
2.5%
5 2
 
5.0%
6 1
 
2.5%
7 2
 
5.0%
8 1
 
2.5%
10 1
 
2.5%
ValueCountFrequency (%)
309 1
2.5%
220 1
2.5%
179 1
2.5%
92 1
2.5%
78 1
2.5%
63 1
2.5%
23 1
2.5%
21 1
2.5%
17 1
2.5%
14 1
2.5%

자영업(부동산업)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.4
Minimum0
Maximum2356
Zeros7
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:35.730967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median23.5
Q3166
95-th percentile1807.65
Maximum2356
Range2356
Interquartile range (IQR)164

Descriptive statistics

Standard deviation543.99707
Coefficient of variation (CV)2.2442123
Kurtosis7.8627557
Mean242.4
Median Absolute Deviation (MAD)23.5
Skewness2.9082092
Sum9696
Variance295932.81
MonotonicityNot monotonic
2023-12-13T08:59:35.854264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 7
 
17.5%
2 3
 
7.5%
3 2
 
5.0%
4 2
 
5.0%
5 2
 
5.0%
1 2
 
5.0%
132 1
 
2.5%
131 1
 
2.5%
157 1
 
2.5%
25 1
 
2.5%
Other values (18) 18
45.0%
ValueCountFrequency (%)
0 7
17.5%
1 2
 
5.0%
2 3
7.5%
3 2
 
5.0%
4 2
 
5.0%
5 2
 
5.0%
21 1
 
2.5%
22 1
 
2.5%
25 1
 
2.5%
28 1
 
2.5%
ValueCountFrequency (%)
2356 1
2.5%
1820 1
2.5%
1807 1
2.5%
956 1
2.5%
713 1
2.5%
268 1
2.5%
215 1
2.5%
204 1
2.5%
198 1
2.5%
187 1
2.5%

자영업(의료보건업)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.825
Minimum0
Maximum88
Zeros16
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:35.945682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36.25
95-th percentile65.1
Maximum88
Range88
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation22.868507
Coefficient of variation (CV)2.1125641
Kurtosis5.6050868
Mean10.825
Median Absolute Deviation (MAD)2
Skewness2.5576649
Sum433
Variance522.96859
MonotonicityNot monotonic
2023-12-13T08:59:36.029645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 16
40.0%
2 4
 
10.0%
3 4
 
10.0%
5 2
 
5.0%
7 2
 
5.0%
1 2
 
5.0%
6 1
 
2.5%
88 1
 
2.5%
43 1
 
2.5%
56 1
 
2.5%
Other values (6) 6
 
15.0%
ValueCountFrequency (%)
0 16
40.0%
1 2
 
5.0%
2 4
 
10.0%
3 4
 
10.0%
4 1
 
2.5%
5 2
 
5.0%
6 1
 
2.5%
7 2
 
5.0%
8 1
 
2.5%
12 1
 
2.5%
ValueCountFrequency (%)
88 1
2.5%
86 1
2.5%
64 1
2.5%
56 1
2.5%
43 1
2.5%
20 1
2.5%
12 1
2.5%
8 1
2.5%
7 2
5.0%
6 1
2.5%

자영업(차량정비업)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.475
Minimum0
Maximum259
Zeros11
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:36.115889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321
95-th percentile177.95
Maximum259
Range259
Interquartile range (IQR)21

Descriptive statistics

Standard deviation61.012394
Coefficient of variation (CV)2.0699709
Kurtosis6.6669439
Mean29.475
Median Absolute Deviation (MAD)3
Skewness2.697095
Sum1179
Variance3722.5122
MonotonicityNot monotonic
2023-12-13T08:59:36.208882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 11
27.5%
1 5
12.5%
2 3
 
7.5%
3 2
 
5.0%
12 2
 
5.0%
24 2
 
5.0%
9 2
 
5.0%
19 1
 
2.5%
259 1
 
2.5%
215 1
 
2.5%
Other values (10) 10
25.0%
ValueCountFrequency (%)
0 11
27.5%
1 5
12.5%
2 3
 
7.5%
3 2
 
5.0%
9 2
 
5.0%
12 2
 
5.0%
13 1
 
2.5%
15 1
 
2.5%
18 1
 
2.5%
19 1
 
2.5%
ValueCountFrequency (%)
259 1
2.5%
215 1
2.5%
176 1
2.5%
135 1
2.5%
105 1
2.5%
42 1
2.5%
29 1
2.5%
26 1
2.5%
24 2
5.0%
20 1
2.5%

자영업(노점)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.2
Minimum0
Maximum429
Zeros18
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:36.311322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q326
95-th percentile221.25
Maximum429
Range429
Interquartile range (IQR)26

Descriptive statistics

Standard deviation85.230968
Coefficient of variation (CV)2.1201733
Kurtosis11.102644
Mean40.2
Median Absolute Deviation (MAD)1
Skewness3.1054415
Sum1608
Variance7264.3179
MonotonicityNot monotonic
2023-12-13T08:59:36.420616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 18
45.0%
1 3
 
7.5%
3 2
 
5.0%
80 1
 
2.5%
429 1
 
2.5%
221 1
 
2.5%
138 1
 
2.5%
108 1
 
2.5%
7 1
 
2.5%
10 1
 
2.5%
Other values (10) 10
25.0%
ValueCountFrequency (%)
0 18
45.0%
1 3
 
7.5%
3 2
 
5.0%
4 1
 
2.5%
7 1
 
2.5%
10 1
 
2.5%
11 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
ValueCountFrequency (%)
429 1
2.5%
226 1
2.5%
221 1
2.5%
138 1
2.5%
109 1
2.5%
108 1
2.5%
80 1
2.5%
79 1
2.5%
77 1
2.5%
29 1
2.5%

자영업(행상)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.975
Minimum0
Maximum8
Zeros29
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:36.540983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0442226
Coefficient of variation (CV)2.0966386
Kurtosis4.3081606
Mean0.975
Median Absolute Deviation (MAD)0
Skewness2.2724338
Sum39
Variance4.1788462
MonotonicityNot monotonic
2023-12-13T08:59:36.638111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 29
72.5%
1 3
 
7.5%
6 3
 
7.5%
3 2
 
5.0%
2 2
 
5.0%
8 1
 
2.5%
ValueCountFrequency (%)
0 29
72.5%
1 3
 
7.5%
2 2
 
5.0%
3 2
 
5.0%
6 3
 
7.5%
8 1
 
2.5%
ValueCountFrequency (%)
8 1
 
2.5%
6 3
 
7.5%
3 2
 
5.0%
2 2
 
5.0%
1 3
 
7.5%
0 29
72.5%

자영업(기타사업)
Real number (ℝ)

Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5059.275
Minimum4
Maximum38281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:36.768337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.95
Q170.5
median714.5
Q33919.75
95-th percentile30360.2
Maximum38281
Range38277
Interquartile range (IQR)3849.25

Descriptive statistics

Standard deviation9894.1162
Coefficient of variation (CV)1.9556391
Kurtosis4.6342086
Mean5059.275
Median Absolute Deviation (MAD)702.5
Skewness2.3796787
Sum202371
Variance97893534
MonotonicityNot monotonic
2023-12-13T08:59:37.123736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
20 2
 
5.0%
96 2
 
5.0%
29 2
 
5.0%
160 1
 
2.5%
654 1
 
2.5%
1563 1
 
2.5%
19 1
 
2.5%
23657 1
 
2.5%
3733 1
 
2.5%
1092 1
 
2.5%
Other values (27) 27
67.5%
ValueCountFrequency (%)
4 1
2.5%
5 1
2.5%
6 1
2.5%
18 1
2.5%
19 1
2.5%
20 2
5.0%
29 2
5.0%
60 1
2.5%
74 1
2.5%
96 2
5.0%
ValueCountFrequency (%)
38281 1
2.5%
33784 1
2.5%
30180 1
2.5%
23657 1
2.5%
22584 1
2.5%
9781 1
2.5%
5356 1
2.5%
5286 1
2.5%
4873 1
2.5%
4480 1
2.5%

피고용자(소계)
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11972.275
Minimum9
Maximum164398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:37.236228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile23.4
Q1131.25
median1494.5
Q38181.25
95-th percentile52488.25
Maximum164398
Range164389
Interquartile range (IQR)8050

Descriptive statistics

Standard deviation28801.496
Coefficient of variation (CV)2.4056828
Kurtosis20.60944
Mean11972.275
Median Absolute Deviation (MAD)1454.5
Skewness4.2079311
Sum478891
Variance8.2952619 × 108
MonotonicityNot monotonic
2023-12-13T08:59:37.356545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
76 1
 
2.5%
9 1
 
2.5%
12 1
 
2.5%
40939 1
 
2.5%
7609 1
 
2.5%
1339 1
 
2.5%
9898 1
 
2.5%
3524 1
 
2.5%
6374 1
 
2.5%
15488 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
9 1
2.5%
12 1
2.5%
24 1
2.5%
30 1
2.5%
50 1
2.5%
76 1
2.5%
78 1
2.5%
105 1
2.5%
110 1
2.5%
120 1
2.5%
ValueCountFrequency (%)
164398 1
2.5%
52645 1
2.5%
52480 1
2.5%
51646 1
2.5%
40939 1
2.5%
18008 1
2.5%
15488 1
2.5%
13099 1
2.5%
10821 1
2.5%
9898 1
2.5%

피고용자(교원(사립))
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.725
Minimum0
Maximum418
Zeros14
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:37.457369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile105.35
Maximum418
Range418
Interquartile range (IQR)23

Descriptive statistics

Standard deviation76.367192
Coefficient of variation (CV)2.658562
Kurtosis18.91553
Mean28.725
Median Absolute Deviation (MAD)3
Skewness4.1888723
Sum1149
Variance5831.9481
MonotonicityNot monotonic
2023-12-13T08:59:37.552918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 14
35.0%
1 3
 
7.5%
3 3
 
7.5%
24 2
 
5.0%
23 2
 
5.0%
6 2
 
5.0%
12 1
 
2.5%
245 1
 
2.5%
418 1
 
2.5%
2 1
 
2.5%
Other values (10) 10
25.0%
ValueCountFrequency (%)
0 14
35.0%
1 3
 
7.5%
2 1
 
2.5%
3 3
 
7.5%
4 1
 
2.5%
5 1
 
2.5%
6 2
 
5.0%
8 1
 
2.5%
10 1
 
2.5%
12 1
 
2.5%
ValueCountFrequency (%)
418 1
2.5%
245 1
2.5%
98 1
2.5%
88 1
2.5%
50 1
2.5%
46 1
2.5%
28 1
2.5%
24 2
5.0%
23 2
5.0%
17 1
2.5%

피고용자(사무원)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.925
Minimum0
Maximum574
Zeros7
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:37.646507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median15
Q352.75
95-th percentile389.4
Maximum574
Range574
Interquartile range (IQR)51.75

Descriptive statistics

Standard deviation141.39278
Coefficient of variation (CV)1.9658363
Kurtosis5.9564811
Mean71.925
Median Absolute Deviation (MAD)15
Skewness2.5721279
Sum2877
Variance19991.917
MonotonicityNot monotonic
2023-12-13T08:59:37.744988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 7
17.5%
1 4
 
10.0%
4 4
 
10.0%
22 2
 
5.0%
2 2
 
5.0%
313 1
 
2.5%
382 1
 
2.5%
5 1
 
2.5%
574 1
 
2.5%
16 1
 
2.5%
Other values (16) 16
40.0%
ValueCountFrequency (%)
0 7
17.5%
1 4
10.0%
2 2
 
5.0%
4 4
10.0%
5 1
 
2.5%
8 1
 
2.5%
14 1
 
2.5%
16 1
 
2.5%
21 1
 
2.5%
22 2
 
5.0%
ValueCountFrequency (%)
574 1
2.5%
530 1
2.5%
382 1
2.5%
313 1
2.5%
290 1
2.5%
106 1
2.5%
89 1
2.5%
85 1
2.5%
79 1
2.5%
64 1
2.5%

피고용자(기술자)
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.825
Minimum0
Maximum2137
Zeros5
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:37.857274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.75
median20.5
Q3219
95-th percentile1141.65
Maximum2137
Range2137
Interquartile range (IQR)216.25

Descriptive statistics

Standard deviation471.74476
Coefficient of variation (CV)1.9190268
Kurtosis7.0637404
Mean245.825
Median Absolute Deviation (MAD)20.5
Skewness2.6331871
Sum9833
Variance222543.12
MonotonicityNot monotonic
2023-12-13T08:59:37.958570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 5
 
12.5%
2 4
 
10.0%
3 3
 
7.5%
8 2
 
5.0%
49 1
 
2.5%
276 1
 
2.5%
76 1
 
2.5%
200 1
 
2.5%
369 1
 
2.5%
2137 1
 
2.5%
Other values (20) 20
50.0%
ValueCountFrequency (%)
0 5
12.5%
1 1
 
2.5%
2 4
10.0%
3 3
7.5%
4 1
 
2.5%
8 2
 
5.0%
9 1
 
2.5%
11 1
 
2.5%
13 1
 
2.5%
14 1
 
2.5%
ValueCountFrequency (%)
2137 1
2.5%
1553 1
2.5%
1120 1
2.5%
1099 1
2.5%
884 1
2.5%
471 1
2.5%
419 1
2.5%
369 1
2.5%
322 1
2.5%
276 1
2.5%

피고용자(점원)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.65
Minimum0
Maximum414
Zeros14
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:38.050638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.5
Q324
95-th percentile177.9
Maximum414
Range414
Interquartile range (IQR)24

Descriptive statistics

Standard deviation81.256968
Coefficient of variation (CV)2.1582196
Kurtosis12.024215
Mean37.65
Median Absolute Deviation (MAD)4.5
Skewness3.2753384
Sum1506
Variance6602.6949
MonotonicityNot monotonic
2023-12-13T08:59:38.147664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 14
35.0%
13 3
 
7.5%
3 2
 
5.0%
15 2
 
5.0%
1 2
 
5.0%
4 2
 
5.0%
175 1
 
2.5%
414 1
 
2.5%
122 1
 
2.5%
47 1
 
2.5%
Other values (11) 11
27.5%
ValueCountFrequency (%)
0 14
35.0%
1 2
 
5.0%
3 2
 
5.0%
4 2
 
5.0%
5 1
 
2.5%
11 1
 
2.5%
13 3
 
7.5%
15 2
 
5.0%
19 1
 
2.5%
21 1
 
2.5%
ValueCountFrequency (%)
414 1
2.5%
233 1
2.5%
175 1
2.5%
168 1
2.5%
122 1
2.5%
81 1
2.5%
47 1
2.5%
39 1
2.5%
34 1
2.5%
30 1
2.5%

피고용자(공원)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.825
Minimum0
Maximum388
Zeros7
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:38.266030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6.5
Q363.5
95-th percentile268.45
Maximum388
Range388
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation100.79832
Coefficient of variation (CV)1.6571857
Kurtosis3.3221046
Mean60.825
Median Absolute Deviation (MAD)6.5
Skewness2.0016853
Sum2433
Variance10160.302
MonotonicityNot monotonic
2023-12-13T08:59:38.372498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 7
17.5%
1 5
 
12.5%
2 4
 
10.0%
8 2
 
5.0%
4 2
 
5.0%
3 1
 
2.5%
264 1
 
2.5%
388 1
 
2.5%
210 1
 
2.5%
71 1
 
2.5%
Other values (15) 15
37.5%
ValueCountFrequency (%)
0 7
17.5%
1 5
12.5%
2 4
10.0%
3 1
 
2.5%
4 2
 
5.0%
5 1
 
2.5%
8 2
 
5.0%
25 1
 
2.5%
26 1
 
2.5%
28 1
 
2.5%
ValueCountFrequency (%)
388 1
2.5%
353 1
2.5%
264 1
2.5%
244 1
2.5%
210 1
2.5%
191 1
2.5%
138 1
2.5%
105 1
2.5%
91 1
2.5%
71 1
2.5%

피고용자(운전사)
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1597.2
Minimum0
Maximum35731
Zeros2
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:38.474711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q110
median88
Q31054.75
95-th percentile4828.55
Maximum35731
Range35731
Interquartile range (IQR)1044.75

Descriptive statistics

Standard deviation5703.3839
Coefficient of variation (CV)3.5708639
Kurtosis35.148579
Mean1597.2
Median Absolute Deviation (MAD)85.5
Skewness5.7935743
Sum63888
Variance32528587
MonotonicityNot monotonic
2023-12-13T08:59:38.579642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
10 4
 
10.0%
0 2
 
5.0%
20 2
 
5.0%
1 2
 
5.0%
95 1
 
2.5%
67 1
 
2.5%
1221 1
 
2.5%
146 1
 
2.5%
1075 1
 
2.5%
1317 1
 
2.5%
Other values (24) 24
60.0%
ValueCountFrequency (%)
0 2
5.0%
1 2
5.0%
2 1
 
2.5%
3 1
 
2.5%
4 1
 
2.5%
5 1
 
2.5%
10 4
10.0%
11 1
 
2.5%
16 1
 
2.5%
20 2
5.0%
ValueCountFrequency (%)
35731 1
2.5%
6435 1
2.5%
4744 1
2.5%
3578 1
2.5%
2424 1
2.5%
1419 1
2.5%
1317 1
2.5%
1246 1
2.5%
1221 1
2.5%
1075 1
2.5%

피고용자(경비원)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.625
Minimum0
Maximum1026
Zeros7
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:38.704431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q3102.75
95-th percentile481.25
Maximum1026
Range1026
Interquartile range (IQR)101.75

Descriptive statistics

Standard deviation231.88245
Coefficient of variation (CV)1.9713705
Kurtosis7.7598491
Mean117.625
Median Absolute Deviation (MAD)7
Skewness2.742213
Sum4705
Variance53769.471
MonotonicityNot monotonic
2023-12-13T08:59:38.807500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 7
17.5%
1 6
15.0%
2 3
 
7.5%
3 2
 
5.0%
7 2
 
5.0%
10 2
 
5.0%
262 1
 
2.5%
420 1
 
2.5%
1026 1
 
2.5%
190 1
 
2.5%
Other values (14) 14
35.0%
ValueCountFrequency (%)
0 7
17.5%
1 6
15.0%
2 3
7.5%
3 2
 
5.0%
4 1
 
2.5%
7 2
 
5.0%
10 2
 
5.0%
27 1
 
2.5%
30 1
 
2.5%
53 1
 
2.5%
ValueCountFrequency (%)
1026 1
2.5%
885 1
2.5%
460 1
2.5%
428 1
2.5%
420 1
2.5%
262 1
2.5%
218 1
2.5%
196 1
2.5%
190 1
2.5%
162 1
2.5%

피고용자(외판원)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.05
Minimum0
Maximum1069
Zeros10
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:38.905491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median16
Q389.75
95-th percentile748.5
Maximum1069
Range1069
Interquartile range (IQR)89

Descriptive statistics

Standard deviation250.2865
Coefficient of variation (CV)2.1023645
Kurtosis7.0373757
Mean119.05
Median Absolute Deviation (MAD)16
Skewness2.750239
Sum4762
Variance62643.331
MonotonicityNot monotonic
2023-12-13T08:59:39.025134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 10
25.0%
1 3
 
7.5%
5 2
 
5.0%
40 2
 
5.0%
23 1
 
2.5%
52 1
 
2.5%
483 1
 
2.5%
8 1
 
2.5%
1069 1
 
2.5%
3 1
 
2.5%
Other values (17) 17
42.5%
ValueCountFrequency (%)
0 10
25.0%
1 3
 
7.5%
2 1
 
2.5%
3 1
 
2.5%
5 2
 
5.0%
7 1
 
2.5%
8 1
 
2.5%
15 1
 
2.5%
17 1
 
2.5%
23 1
 
2.5%
ValueCountFrequency (%)
1069 1
2.5%
891 1
2.5%
741 1
2.5%
483 1
2.5%
422 1
2.5%
174 1
2.5%
155 1
2.5%
111 1
2.5%
104 1
2.5%
95 1
2.5%
Distinct15
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.45
Minimum0
Maximum52
Zeros14
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:39.120350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q37
95-th percentile47.25
Maximum52
Range52
Interquartile range (IQR)7

Descriptive statistics

Standard deviation13.643727
Coefficient of variation (CV)1.8313727
Kurtosis5.9401239
Mean7.45
Median Absolute Deviation (MAD)2.5
Skewness2.5861936
Sum298
Variance186.15128
MonotonicityNot monotonic
2023-12-13T08:59:39.216141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 14
35.0%
3 5
 
12.5%
7 4
 
10.0%
2 3
 
7.5%
1 3
 
7.5%
52 2
 
5.0%
11 1
 
2.5%
30 1
 
2.5%
8 1
 
2.5%
47 1
 
2.5%
Other values (5) 5
 
12.5%
ValueCountFrequency (%)
0 14
35.0%
1 3
 
7.5%
2 3
 
7.5%
3 5
 
12.5%
4 1
 
2.5%
5 1
 
2.5%
7 4
 
10.0%
8 1
 
2.5%
9 1
 
2.5%
11 1
 
2.5%
ValueCountFrequency (%)
52 2
5.0%
47 1
 
2.5%
30 1
 
2.5%
16 1
 
2.5%
12 1
 
2.5%
11 1
 
2.5%
9 1
 
2.5%
8 1
 
2.5%
7 4
10.0%
5 1
 
2.5%
Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5774.95
Minimum4
Maximum87051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:39.323700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.9
Q159.75
median867
Q33514
95-th percentile23553.45
Maximum87051
Range87047
Interquartile range (IQR)3454.25

Descriptive statistics

Standard deviation14801.971
Coefficient of variation (CV)2.563134
Kurtosis24.178327
Mean5774.95
Median Absolute Deviation (MAD)849
Skewness4.6002214
Sum230998
Variance2.1909833 × 108
MonotonicityNot monotonic
2023-12-13T08:59:39.428960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
22 2
 
5.0%
29 1
 
2.5%
7 1
 
2.5%
18093 1
 
2.5%
3088 1
 
2.5%
866 1
 
2.5%
4792 1
 
2.5%
2130 1
 
2.5%
2662 1
 
2.5%
7543 1
 
2.5%
Other values (29) 29
72.5%
ValueCountFrequency (%)
4 1
2.5%
7 1
2.5%
9 1
2.5%
14 1
2.5%
22 2
5.0%
23 1
2.5%
29 1
2.5%
37 1
2.5%
53 1
2.5%
62 1
2.5%
ValueCountFrequency (%)
87051 1
2.5%
25139 1
2.5%
23470 1
2.5%
23315 1
2.5%
18093 1
2.5%
7543 1
2.5%
7275 1
2.5%
5804 1
2.5%
5400 1
2.5%
4792 1
2.5%

피고용자(금융기관직원)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.2
Minimum0
Maximum285
Zeros13
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:39.529250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q324
95-th percentile150.45
Maximum285
Range285
Interquartile range (IQR)24

Descriptive statistics

Standard deviation62.607528
Coefficient of variation (CV)2.0066515
Kurtosis8.6518239
Mean31.2
Median Absolute Deviation (MAD)4
Skewness2.9021785
Sum1248
Variance3919.7026
MonotonicityNot monotonic
2023-12-13T08:59:39.621004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 13
32.5%
1 4
 
10.0%
14 2
 
5.0%
10 2
 
5.0%
4 2
 
5.0%
36 1
 
2.5%
146 1
 
2.5%
2 1
 
2.5%
285 1
 
2.5%
83 1
 
2.5%
Other values (12) 12
30.0%
ValueCountFrequency (%)
0 13
32.5%
1 4
 
10.0%
2 1
 
2.5%
3 1
 
2.5%
4 2
 
5.0%
6 1
 
2.5%
10 2
 
5.0%
14 2
 
5.0%
17 1
 
2.5%
20 1
 
2.5%
ValueCountFrequency (%)
285 1
2.5%
235 1
2.5%
146 1
2.5%
103 1
2.5%
88 1
2.5%
83 1
2.5%
54 1
2.5%
39 1
2.5%
36 1
2.5%
27 1
2.5%

피고용자(유흥업종사자)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.725
Minimum0
Maximum711
Zeros8
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:39.740394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q351.75
95-th percentile341.65
Maximum711
Range711
Interquartile range (IQR)50.75

Descriptive statistics

Standard deviation145.84783
Coefficient of variation (CV)2.0621821
Kurtosis9.3993693
Mean70.725
Median Absolute Deviation (MAD)10
Skewness2.9330282
Sum2829
Variance21271.589
MonotonicityNot monotonic
2023-12-13T08:59:39.855626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 8
20.0%
1 4
 
10.0%
20 3
 
7.5%
4 3
 
7.5%
2 3
 
7.5%
36 1
 
2.5%
711 1
 
2.5%
14 1
 
2.5%
96 1
 
2.5%
327 1
 
2.5%
Other values (14) 14
35.0%
ValueCountFrequency (%)
0 8
20.0%
1 4
10.0%
2 3
 
7.5%
3 1
 
2.5%
4 3
 
7.5%
6 1
 
2.5%
14 1
 
2.5%
15 1
 
2.5%
20 3
 
7.5%
21 1
 
2.5%
ValueCountFrequency (%)
711 1
2.5%
373 1
2.5%
340 1
2.5%
334 1
2.5%
327 1
2.5%
107 1
2.5%
104 1
2.5%
96 1
2.5%
92 1
2.5%
54 1
2.5%

피고용자(요식업종사자)
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.95
Minimum0
Maximum1653
Zeros6
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:40.011558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.75
median31.5
Q3183
95-th percentile1137.75
Maximum1653
Range1653
Interquartile range (IQR)180.25

Descriptive statistics

Standard deviation408.91162
Coefficient of variation (CV)1.8935477
Kurtosis4.6670142
Mean215.95
Median Absolute Deviation (MAD)31.5
Skewness2.3345345
Sum8638
Variance167208.72
MonotonicityNot monotonic
2023-12-13T08:59:40.119892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 6
 
15.0%
3 3
 
7.5%
1 2
 
5.0%
5 2
 
5.0%
2 2
 
5.0%
342 1
 
2.5%
225 1
 
2.5%
82 1
 
2.5%
143 1
 
2.5%
42 1
 
2.5%
Other values (20) 20
50.0%
ValueCountFrequency (%)
0 6
15.0%
1 2
 
5.0%
2 2
 
5.0%
3 3
7.5%
4 1
 
2.5%
5 2
 
5.0%
7 1
 
2.5%
9 1
 
2.5%
10 1
 
2.5%
30 1
 
2.5%
ValueCountFrequency (%)
1653 1
2.5%
1361 1
2.5%
1126 1
2.5%
991 1
2.5%
966 1
2.5%
478 1
2.5%
342 1
2.5%
259 1
2.5%
225 1
2.5%
195 1
2.5%

피고용자(일용노동자)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1050.35
Minimum0
Maximum9739
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:40.226833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q119
median99.5
Q3813.5
95-th percentile5312.05
Maximum9739
Range9739
Interquartile range (IQR)794.5

Descriptive statistics

Standard deviation2049.2771
Coefficient of variation (CV)1.9510422
Kurtosis8.1046881
Mean1050.35
Median Absolute Deviation (MAD)98.5
Skewness2.7302715
Sum42014
Variance4199536.8
MonotonicityNot monotonic
2023-12-13T08:59:40.339113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 4
 
10.0%
33 2
 
5.0%
7 2
 
5.0%
21 1
 
2.5%
1826 1
 
2.5%
4446 1
 
2.5%
670 1
 
2.5%
944 1
 
2.5%
213 1
 
2.5%
731 1
 
2.5%
Other values (25) 25
62.5%
ValueCountFrequency (%)
0 1
 
2.5%
1 4
10.0%
6 1
 
2.5%
7 2
5.0%
10 1
 
2.5%
16 1
 
2.5%
20 1
 
2.5%
21 1
 
2.5%
24 1
 
2.5%
30 1
 
2.5%
ValueCountFrequency (%)
9739 1
2.5%
5579 1
2.5%
5298 1
2.5%
4446 1
2.5%
4085 1
2.5%
2406 1
2.5%
1875 1
2.5%
1826 1
2.5%
1238 1
2.5%
944 1
2.5%
Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2542.825
Minimum1
Maximum24057
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:40.446714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.9
Q138
median333.5
Q32007.5
95-th percentile14312.2
Maximum24057
Range24056
Interquartile range (IQR)1969.5

Descriptive statistics

Standard deviation5181.1306
Coefficient of variation (CV)2.037549
Kurtosis7.7943697
Mean2542.825
Median Absolute Deviation (MAD)326.5
Skewness2.7635242
Sum101713
Variance26844114
MonotonicityNot monotonic
2023-12-13T08:59:40.548902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
12 2
 
5.0%
32 1
 
2.5%
4 1
 
2.5%
11785 1
 
2.5%
2006 1
 
2.5%
221 1
 
2.5%
2012 1
 
2.5%
695 1
 
2.5%
1317 1
 
2.5%
3307 1
 
2.5%
Other values (29) 29
72.5%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
4 1
2.5%
10 1
2.5%
11 1
2.5%
12 2
5.0%
24 1
2.5%
32 1
2.5%
35 1
2.5%
39 1
2.5%
ValueCountFrequency (%)
24057 1
2.5%
14563 1
2.5%
14299 1
2.5%
11785 1
2.5%
10284 1
2.5%
5128 1
2.5%
3307 1
2.5%
2637 1
2.5%
2125 1
2.5%
2012 1
2.5%

전문직(소계)
Real number (ℝ)

Distinct37
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1251.875
Minimum3
Maximum10719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:40.652917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.95
Q115.75
median197
Q3836.75
95-th percentile7496.15
Maximum10719
Range10716
Interquartile range (IQR)821

Descriptive statistics

Standard deviation2517.9352
Coefficient of variation (CV)2.0113311
Kurtosis6.3289198
Mean1251.875
Median Absolute Deviation (MAD)192.5
Skewness2.6151241
Sum50075
Variance6339997.5
MonotonicityNot monotonic
2023-12-13T08:59:40.776721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
5 3
 
7.5%
3 2
 
5.0%
568 1
 
2.5%
5657 1
 
2.5%
899 1
 
2.5%
213 1
 
2.5%
521 1
 
2.5%
278 1
 
2.5%
243 1
 
2.5%
1989 1
 
2.5%
Other values (27) 27
67.5%
ValueCountFrequency (%)
3 2
5.0%
4 1
 
2.5%
5 3
7.5%
7 1
 
2.5%
11 1
 
2.5%
12 1
 
2.5%
15 1
 
2.5%
16 1
 
2.5%
17 1
 
2.5%
18 1
 
2.5%
ValueCountFrequency (%)
10719 1
2.5%
8582 1
2.5%
7439 1
2.5%
5657 1
2.5%
3896 1
2.5%
2910 1
2.5%
1989 1
2.5%
1347 1
2.5%
953 1
2.5%
899 1
2.5%

전문직(의사)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.525
Minimum0
Maximum1391
Zeros3
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:40.866671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.75
median14
Q372
95-th percentile833.7
Maximum1391
Range1391
Interquartile range (IQR)69.25

Descriptive statistics

Standard deviation311.88163
Coefficient of variation (CV)2.2037211
Kurtosis7.4108341
Mean141.525
Median Absolute Deviation (MAD)13
Skewness2.7731124
Sum5661
Variance97270.153
MonotonicityNot monotonic
2023-12-13T08:59:40.959326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 5
 
12.5%
0 3
 
7.5%
4 3
 
7.5%
3 2
 
5.0%
70 2
 
5.0%
6 2
 
5.0%
2 2
 
5.0%
626 1
 
2.5%
7 1
 
2.5%
20 1
 
2.5%
Other values (18) 18
45.0%
ValueCountFrequency (%)
0 3
7.5%
1 5
12.5%
2 2
 
5.0%
3 2
 
5.0%
4 3
7.5%
6 2
 
5.0%
7 1
 
2.5%
8 1
 
2.5%
10 1
 
2.5%
18 1
 
2.5%
ValueCountFrequency (%)
1391 1
2.5%
1018 1
2.5%
824 1
2.5%
642 1
2.5%
626 1
2.5%
251 1
2.5%
179 1
2.5%
113 1
2.5%
79 1
2.5%
78 1
2.5%

전문직(변호사)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.95
Minimum0
Maximum245
Zeros16
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:41.058716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311.25
95-th percentile139.85
Maximum245
Range245
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation54.958236
Coefficient of variation (CV)2.2947071
Kurtosis9.400577
Mean23.95
Median Absolute Deviation (MAD)2
Skewness3.0959502
Sum958
Variance3020.4077
MonotonicityNot monotonic
2023-12-13T08:59:41.387188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 16
40.0%
10 3
 
7.5%
1 3
 
7.5%
2 2
 
5.0%
3 2
 
5.0%
6 1
 
2.5%
40 1
 
2.5%
8 1
 
2.5%
9 1
 
2.5%
245 1
 
2.5%
Other values (9) 9
22.5%
ValueCountFrequency (%)
0 16
40.0%
1 3
 
7.5%
2 2
 
5.0%
3 2
 
5.0%
6 1
 
2.5%
8 1
 
2.5%
9 1
 
2.5%
10 3
 
7.5%
11 1
 
2.5%
12 1
 
2.5%
ValueCountFrequency (%)
245 1
2.5%
213 1
2.5%
136 1
2.5%
96 1
2.5%
49 1
2.5%
40 1
2.5%
37 1
2.5%
33 1
2.5%
20 1
2.5%
12 1
2.5%

전문직(교수)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.65
Minimum0
Maximum229
Zeros13
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:41.469017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312.75
95-th percentile144.25
Maximum229
Range229
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation52.482744
Coefficient of variation (CV)2.2191435
Kurtosis8.9264938
Mean23.65
Median Absolute Deviation (MAD)3
Skewness3.0321319
Sum946
Variance2754.4385
MonotonicityNot monotonic
2023-12-13T08:59:41.550807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 13
32.5%
2 4
 
10.0%
3 3
 
7.5%
11 2
 
5.0%
19 2
 
5.0%
4 2
 
5.0%
10 2
 
5.0%
6 1
 
2.5%
18 1
 
2.5%
141 1
 
2.5%
Other values (9) 9
22.5%
ValueCountFrequency (%)
0 13
32.5%
1 1
 
2.5%
2 4
 
10.0%
3 3
 
7.5%
4 2
 
5.0%
5 1
 
2.5%
6 1
 
2.5%
9 1
 
2.5%
10 2
 
5.0%
11 2
 
5.0%
ValueCountFrequency (%)
229 1
2.5%
206 1
2.5%
141 1
2.5%
67 1
2.5%
65 1
2.5%
57 1
2.5%
37 1
2.5%
19 2
5.0%
18 1
2.5%
11 2
5.0%

전문직(종교가)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.725
Minimum0
Maximum1000
Zeros7
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:41.641235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median24
Q3125
95-th percentile830.65
Maximum1000
Range1000
Interquartile range (IQR)123

Descriptive statistics

Standard deviation265.74076
Coefficient of variation (CV)2.0021907
Kurtosis5.593158
Mean132.725
Median Absolute Deviation (MAD)24
Skewness2.5683091
Sum5309
Variance70618.153
MonotonicityNot monotonic
2023-12-13T08:59:41.732121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 7
 
17.5%
3 3
 
7.5%
2 2
 
5.0%
35 2
 
5.0%
1 2
 
5.0%
724 1
 
2.5%
1000 1
 
2.5%
47 1
 
2.5%
6 1
 
2.5%
822 1
 
2.5%
Other values (19) 19
47.5%
ValueCountFrequency (%)
0 7
17.5%
1 2
 
5.0%
2 2
 
5.0%
3 3
7.5%
4 1
 
2.5%
6 1
 
2.5%
9 1
 
2.5%
15 1
 
2.5%
16 1
 
2.5%
19 1
 
2.5%
ValueCountFrequency (%)
1000 1
2.5%
995 1
2.5%
822 1
2.5%
724 1
2.5%
317 1
2.5%
190 1
2.5%
169 1
2.5%
150 1
2.5%
144 1
2.5%
134 1
2.5%

전문직(언론인)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.525
Minimum0
Maximum482
Zeros10
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:41.820997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median3.5
Q316.75
95-th percentile104.8
Maximum482
Range482
Interquartile range (IQR)16

Descriptive statistics

Standard deviation79.086771
Coefficient of variation (CV)2.8732705
Kurtosis29.469589
Mean27.525
Median Absolute Deviation (MAD)3.5
Skewness5.1775163
Sum1101
Variance6254.7173
MonotonicityNot monotonic
2023-12-13T08:59:41.912366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 10
25.0%
1 5
12.5%
2 3
 
7.5%
8 2
 
5.0%
3 2
 
5.0%
4 2
 
5.0%
19 1
 
2.5%
14 1
 
2.5%
482 1
 
2.5%
28 1
 
2.5%
Other values (12) 12
30.0%
ValueCountFrequency (%)
0 10
25.0%
1 5
12.5%
2 3
 
7.5%
3 2
 
5.0%
4 2
 
5.0%
5 1
 
2.5%
6 1
 
2.5%
8 2
 
5.0%
11 1
 
2.5%
13 1
 
2.5%
ValueCountFrequency (%)
482 1
2.5%
120 1
2.5%
104 1
2.5%
77 1
2.5%
76 1
2.5%
41 1
2.5%
28 1
2.5%
27 1
2.5%
21 1
2.5%
19 1
2.5%

전문직(예술인)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66
Minimum0
Maximum459
Zeros9
Zeros (%)22.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:41.997310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q359.5
95-th percentile371.95
Maximum459
Range459
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation125.09197
Coefficient of variation (CV)1.8953328
Kurtosis4.1278963
Mean66
Median Absolute Deviation (MAD)9
Skewness2.2796646
Sum2640
Variance15648
MonotonicityNot monotonic
2023-12-13T08:59:42.079773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 9
22.5%
1 5
 
12.5%
2 3
 
7.5%
46 2
 
5.0%
61 2
 
5.0%
28 1
 
2.5%
447 1
 
2.5%
8 1
 
2.5%
459 1
 
2.5%
27 1
 
2.5%
Other values (14) 14
35.0%
ValueCountFrequency (%)
0 9
22.5%
1 5
12.5%
2 3
 
7.5%
3 1
 
2.5%
7 1
 
2.5%
8 1
 
2.5%
10 1
 
2.5%
12 1
 
2.5%
15 1
 
2.5%
21 1
 
2.5%
ValueCountFrequency (%)
459 1
2.5%
447 1
2.5%
368 1
2.5%
325 1
2.5%
283 1
2.5%
125 1
2.5%
115 1
2.5%
74 1
2.5%
61 2
5.0%
59 1
2.5%

전문직(기타전문직)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean836.5
Minimum0
Maximum8367
Zeros1
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:42.166337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17.25
median116
Q3527.75
95-th percentile4766.05
Maximum8367
Range8367
Interquartile range (IQR)520.5

Descriptive statistics

Standard deviation1738.981
Coefficient of variation (CV)2.0788774
Kurtosis9.2065385
Mean836.5
Median Absolute Deviation (MAD)114.5
Skewness2.936635
Sum33460
Variance3024054.9
MonotonicityNot monotonic
2023-12-13T08:59:42.254967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3 4
 
10.0%
1 2
 
5.0%
282 1
 
2.5%
3729 1
 
2.5%
536 1
 
2.5%
117 1
 
2.5%
413 1
 
2.5%
209 1
 
2.5%
204 1
 
2.5%
1453 1
 
2.5%
Other values (26) 26
65.0%
ValueCountFrequency (%)
0 1
 
2.5%
1 2
5.0%
2 1
 
2.5%
3 4
10.0%
4 1
 
2.5%
5 1
 
2.5%
8 1
 
2.5%
9 1
 
2.5%
10 1
 
2.5%
12 1
 
2.5%
ValueCountFrequency (%)
8367 1
2.5%
4843 1
2.5%
4762 1
2.5%
3729 1
2.5%
2829 1
2.5%
1672 1
2.5%
1453 1
2.5%
1027 1
2.5%
650 1
2.5%
536 1
2.5%

공무원
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean369.275
Minimum0
Maximum3800
Zeros3
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:42.340864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median66.5
Q3236
95-th percentile2169
Maximum3800
Range3800
Interquartile range (IQR)232

Descriptive statistics

Standard deviation802.96278
Coefficient of variation (CV)2.1744304
Kurtosis10.809499
Mean369.275
Median Absolute Deviation (MAD)66
Skewness3.2798461
Sum14771
Variance644749.23
MonotonicityNot monotonic
2023-12-13T08:59:42.457934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3 3
 
7.5%
0 3
 
7.5%
4 2
 
5.0%
2 2
 
5.0%
231 2
 
5.0%
203 1
 
2.5%
184 1
 
2.5%
120 1
 
2.5%
64 1
 
2.5%
251 1
 
2.5%
Other values (23) 23
57.5%
ValueCountFrequency (%)
0 3
7.5%
1 1
 
2.5%
2 2
5.0%
3 3
7.5%
4 2
5.0%
5 1
 
2.5%
7 1
 
2.5%
12 1
 
2.5%
16 1
 
2.5%
24 1
 
2.5%
ValueCountFrequency (%)
3800 1
2.5%
2986 1
2.5%
2126 1
2.5%
796 1
2.5%
766 1
2.5%
695 1
2.5%
545 1
2.5%
501 1
2.5%
263 1
2.5%
251 1
2.5%

기타(소계)
Real number (ℝ)

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9436.525
Minimum16
Maximum62409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:42.577483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile37.85
Q1223.5
median1634
Q37787.25
95-th percentile57526.85
Maximum62409
Range62393
Interquartile range (IQR)7563.75

Descriptive statistics

Standard deviation17464.181
Coefficient of variation (CV)1.8507004
Kurtosis3.7688901
Mean9436.525
Median Absolute Deviation (MAD)1606.5
Skewness2.223027
Sum377461
Variance3.0499761 × 108
MonotonicityNot monotonic
2023-12-13T08:59:42.692215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
107 2
 
5.0%
16 2
 
5.0%
57476 1
 
2.5%
3695 1
 
2.5%
3937 1
 
2.5%
48081 1
 
2.5%
7704 1
 
2.5%
2172 1
 
2.5%
8037 1
 
2.5%
4342 1
 
2.5%
Other values (28) 28
70.0%
ValueCountFrequency (%)
16 2
5.0%
39 1
2.5%
61 1
2.5%
75 1
2.5%
107 2
5.0%
119 1
2.5%
135 1
2.5%
207 1
2.5%
229 1
2.5%
241 1
2.5%
ValueCountFrequency (%)
62409 1
2.5%
58493 1
2.5%
57476 1
2.5%
48081 1
2.5%
33270 1
2.5%
28183 1
2.5%
13822 1
2.5%
8484 1
2.5%
8366 1
2.5%
8037 1
2.5%

기타(학생)
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2184.425
Minimum0
Maximum15907
Zeros3
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:42.793129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113.5
median280
Q31615.25
95-th percentile10907.45
Maximum15907
Range15907
Interquartile range (IQR)1601.75

Descriptive statistics

Standard deviation3906.2353
Coefficient of variation (CV)1.7882213
Kurtosis3.7797815
Mean2184.425
Median Absolute Deviation (MAD)280
Skewness2.1199855
Sum87377
Variance15258674
MonotonicityNot monotonic
2023-12-13T08:59:42.905097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 3
 
7.5%
6 2
 
5.0%
2 2
 
5.0%
50 1
 
2.5%
59 1
 
2.5%
10877 1
 
2.5%
229 1
 
2.5%
321 1
 
2.5%
1065 1
 
2.5%
1 1
 
2.5%
Other values (26) 26
65.0%
ValueCountFrequency (%)
0 3
7.5%
1 1
 
2.5%
2 2
5.0%
5 1
 
2.5%
6 2
5.0%
12 1
 
2.5%
14 1
 
2.5%
23 1
 
2.5%
50 1
 
2.5%
59 1
 
2.5%
ValueCountFrequency (%)
15907 1
2.5%
11486 1
2.5%
10877 1
2.5%
9115 1
2.5%
8804 1
2.5%
8200 1
2.5%
4650 1
2.5%
3244 1
2.5%
2894 1
2.5%
2162 1
2.5%

기타(주부)
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean858.675
Minimum0
Maximum11193
Zeros3
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:43.005957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.5
median28
Q3479.25
95-th percentile4034.1
Maximum11193
Range11193
Interquartile range (IQR)473.75

Descriptive statistics

Standard deviation2040.281
Coefficient of variation (CV)2.3760806
Kurtosis17.047354
Mean858.675
Median Absolute Deviation (MAD)28
Skewness3.8095703
Sum34347
Variance4162746.6
MonotonicityNot monotonic
2023-12-13T08:59:43.101460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 3
 
7.5%
1 3
 
7.5%
2 2
 
5.0%
10 2
 
5.0%
4 1
 
2.5%
2986 1
 
2.5%
4302 1
 
2.5%
44 1
 
2.5%
3 1
 
2.5%
11193 1
 
2.5%
Other values (24) 24
60.0%
ValueCountFrequency (%)
0 3
7.5%
1 3
7.5%
2 2
5.0%
3 1
 
2.5%
4 1
 
2.5%
6 1
 
2.5%
9 1
 
2.5%
10 2
5.0%
11 1
 
2.5%
13 1
 
2.5%
ValueCountFrequency (%)
11193 1
2.5%
4302 1
2.5%
4020 1
2.5%
3795 1
2.5%
2986 1
2.5%
2250 1
2.5%
1156 1
2.5%
742 1
2.5%
662 1
2.5%
576 1
2.5%

기타(전경.의경)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.95
Minimum0
Maximum11
Zeros21
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:43.184320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9.05
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.0546308
Coefficient of variation (CV)1.5664773
Kurtosis2.4386856
Mean1.95
Median Absolute Deviation (MAD)0
Skewness1.8168446
Sum78
Variance9.3307692
MonotonicityNot monotonic
2023-12-13T08:59:43.266503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 21
52.5%
2 7
 
17.5%
1 3
 
7.5%
9 2
 
5.0%
4 2
 
5.0%
5 1
 
2.5%
11 1
 
2.5%
10 1
 
2.5%
6 1
 
2.5%
3 1
 
2.5%
ValueCountFrequency (%)
0 21
52.5%
1 3
 
7.5%
2 7
 
17.5%
3 1
 
2.5%
4 2
 
5.0%
5 1
 
2.5%
6 1
 
2.5%
9 2
 
5.0%
10 1
 
2.5%
11 1
 
2.5%
ValueCountFrequency (%)
11 1
 
2.5%
10 1
 
2.5%
9 2
 
5.0%
6 1
 
2.5%
5 1
 
2.5%
4 2
 
5.0%
3 1
 
2.5%
2 7
 
17.5%
1 3
 
7.5%
0 21
52.5%

기타(공익요원)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.825
Minimum0
Maximum143
Zeros12
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:43.348694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q326.5
95-th percentile113.85
Maximum143
Range143
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation38.157492
Coefficient of variation (CV)1.6717412
Kurtosis3.6164626
Mean22.825
Median Absolute Deviation (MAD)6
Skewness2.1307665
Sum913
Variance1455.9942
MonotonicityNot monotonic
2023-12-13T08:59:43.440285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 12
30.0%
1 4
 
10.0%
3 2
 
5.0%
13 2
 
5.0%
26 2
 
5.0%
6 2
 
5.0%
10 1
 
2.5%
81 1
 
2.5%
2 1
 
2.5%
143 1
 
2.5%
Other values (12) 12
30.0%
ValueCountFrequency (%)
0 12
30.0%
1 4
 
10.0%
2 1
 
2.5%
3 2
 
5.0%
6 2
 
5.0%
9 1
 
2.5%
10 1
 
2.5%
11 1
 
2.5%
12 1
 
2.5%
13 2
 
5.0%
ValueCountFrequency (%)
143 1
2.5%
130 1
2.5%
113 1
2.5%
112 1
2.5%
81 1
2.5%
38 1
2.5%
36 1
2.5%
35 1
2.5%
29 1
2.5%
28 1
2.5%

기타(기타)
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6368.65
Minimum9
Maximum46769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:43.543359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile23.55
Q1123.5
median1250.5
Q34866.5
95-th percentile36674.3
Maximum46769
Range46760
Interquartile range (IQR)4743

Descriptive statistics

Standard deviation12391.284
Coefficient of variation (CV)1.9456689
Kurtosis4.8309721
Mean6368.65
Median Absolute Deviation (MAD)1211
Skewness2.4264795
Sum254746
Variance1.5354393 × 108
MonotonicityNot monotonic
2023-12-13T08:59:43.640035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
24 1
 
2.5%
9 1
 
2.5%
15 1
 
2.5%
35865 1
 
2.5%
5663 1
 
2.5%
2061 1
 
2.5%
4297 1
 
2.5%
1395 1
 
2.5%
2902 1
 
2.5%
11572 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
9 1
2.5%
15 1
2.5%
24 1
2.5%
37 1
2.5%
42 1
2.5%
48 1
2.5%
101 1
2.5%
106 1
2.5%
109 1
2.5%
110 1
2.5%
ValueCountFrequency (%)
46769 1
2.5%
44280 1
2.5%
36274 1
2.5%
35865 1
2.5%
21154 1
2.5%
11572 1
2.5%
9985 1
2.5%
5663 1
2.5%
5543 1
2.5%
4970 1
2.5%

무직자
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9386.35
Minimum14
Maximum71188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:43.743534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile31.8
Q1182.75
median1184.5
Q37850.75
95-th percentile42690.85
Maximum71188
Range71174
Interquartile range (IQR)7668

Descriptive statistics

Standard deviation17479.882
Coefficient of variation (CV)1.8622661
Kurtosis4.5109264
Mean9386.35
Median Absolute Deviation (MAD)1154.5
Skewness2.2852216
Sum375454
Variance3.0554627 × 108
MonotonicityNot monotonic
2023-12-13T08:59:43.854125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
155 1
 
2.5%
33 1
 
2.5%
32 1
 
2.5%
59047 1
 
2.5%
8297 1
 
2.5%
1073 1
 
2.5%
7702 1
 
2.5%
2907 1
 
2.5%
4795 1
 
2.5%
13781 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
14 1
2.5%
28 1
2.5%
32 1
2.5%
33 1
2.5%
65 1
2.5%
83 1
2.5%
86 1
2.5%
90 1
2.5%
155 1
2.5%
179 1
2.5%
ValueCountFrequency (%)
71188 1
2.5%
59047 1
2.5%
41830 1
2.5%
40801 1
2.5%
39827 1
2.5%
35272 1
2.5%
13781 1
2.5%
9973 1
2.5%
9148 1
2.5%
8297 1
2.5%

미상
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5597.45
Minimum18
Maximum62355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:59:43.956008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile22.8
Q166.75
median801
Q32558
95-th percentile30585.9
Maximum62355
Range62337
Interquartile range (IQR)2491.25

Descriptive statistics

Standard deviation13415.529
Coefficient of variation (CV)2.3967216
Kurtosis11.119931
Mean5597.45
Median Absolute Deviation (MAD)761
Skewness3.3298526
Sum223898
Variance1.7997643 × 108
MonotonicityNot monotonic
2023-12-13T08:59:44.055983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
28 1
 
2.5%
19 1
 
2.5%
23 1
 
2.5%
52415 1
 
2.5%
5566 1
 
2.5%
1558 1
 
2.5%
2538 1
 
2.5%
1441 1
 
2.5%
1097 1
 
2.5%
8791 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
18 1
2.5%
19 1
2.5%
23 1
2.5%
27 1
2.5%
28 1
2.5%
35 1
2.5%
36 1
2.5%
47 1
2.5%
51 1
2.5%
66 1
2.5%
ValueCountFrequency (%)
62355 1
2.5%
52415 1
2.5%
29437 1
2.5%
17800 1
2.5%
15585 1
2.5%
8791 1
2.5%
7471 1
2.5%
5566 1
2.5%
3459 1
2.5%
2618 1
2.5%

Sample

범죄대분류범죄중분류자영업(소계)자영업(농.임.수산업)자영업(광업)자영업(제조업)자영업(건설업)자영업(도.소매업)자영업(무역업)자영업(요식업)자영업(숙박업)자영업(유흥업)자영업(금융업)자영업(부동산업)자영업(의료보건업)자영업(차량정비업)자영업(노점)자영업(행상)자영업(기타사업)피고용자(소계)피고용자(교원(사립))피고용자(사무원)피고용자(기술자)피고용자(점원)피고용자(공원)피고용자(운전사)피고용자(경비원)피고용자(외판원)피고용자(국공영기업체직원)피고용자(일반회사원)피고용자(금융기관직원)피고용자(유흥업종사자)피고용자(요식업종사자)피고용자(일용노동자)피고용자(기타피고용자)전문직(소계)전문직(의사)전문직(변호사)전문직(교수)전문직(종교가)전문직(언론인)전문직(예술인)전문직(기타전문직)공무원기타(소계)기타(학생)기타(주부)기타(전경.의경)기타(공익요원)기타(기타)무직자미상
0강력범죄살인기수344004001020300002076102031030022011211253000002439510002415528
1강력범죄살인미수등5060070140002001029105003021002029003243230000003461149013718447
2강력범죄강도8720080102714110060179023041001062113335951001003135523960011050966
3강력범죄강간7617707577132171952123005131650482711261137232874620461413421811815300121154415436994298291296638
4강력범죄유사강간115110271065305001074219018311625011414520393020040321326913512312820494
5강력범죄강제추행22461980421601511102214511533121101562474528211251528386805272675142012436680470411312107116464362633590129425213225633211513
6강력범죄기타 강간 강제추행등3910006002210000001878000001010023022162451000121011968201489018
7강력범죄방화168380023006110201009622500130120100690155461152003118320785130010951167
8절도범죄소계79151398212475048432466672211595267934873180082485419811381246428155117275271074782406512813473931114481151027229281831590722505369985352727471
9폭력범죄상해85421415111081237283156015517198724770528613099234547130105141919610475804201042591875263795370611134216165023184842162742235554399732270
범죄대분류범죄중분류자영업(소계)자영업(농.임.수산업)자영업(광업)자영업(제조업)자영업(건설업)자영업(도.소매업)자영업(무역업)자영업(요식업)자영업(숙박업)자영업(유흥업)자영업(금융업)자영업(부동산업)자영업(의료보건업)자영업(차량정비업)자영업(노점)자영업(행상)자영업(기타사업)피고용자(소계)피고용자(교원(사립))피고용자(사무원)피고용자(기술자)피고용자(점원)피고용자(공원)피고용자(운전사)피고용자(경비원)피고용자(외판원)피고용자(국공영기업체직원)피고용자(일반회사원)피고용자(금융기관직원)피고용자(유흥업종사자)피고용자(요식업종사자)피고용자(일용노동자)피고용자(기타피고용자)전문직(소계)전문직(의사)전문직(변호사)전문직(교수)전문직(종교가)전문직(언론인)전문직(예술인)전문직(기타전문직)공무원기타(소계)기타(학생)기타(주부)기타(전경.의경)기타(공익요원)기타(기타)무직자미상
30특별경제범죄소계13782921337710451919333760238309268842108197811548846106369477113171901741675438351342182633071989783765190411251453251138221065115612811572137818791
31마약범죄소계1617597011923537172873471307752325116494210951017186849233353572568179122917428216172532120001311914430949
32보건범죄소계728618007158753459617151732856213815356278922269138411038188513274299123129101018101016942716726154622292561649702319983
33환경범죄소계162622911352875231005012009468580230114733040300141254176003305121328215011310294194
34교통범죄소계594061201748204247341129179711613578956432152216382811643984185742137122388357311026106952870512859616539739240571071962696229822120459836738005849310877111936143362744183017800
35노동범죄소계13017015005051000009612000400520053044741111123013222903022248635
36안보범죄소계3410011010630010020110041022010370431046180006201051076000101287117
37선거범죄소계368510216236320102002801470421211113762027351497114472825062527594400424179113
38병역범죄소계235170627101613020200160819051432201832940143010032548602218293615502326534791653
39기타범죄소계544717209109654278465316174382821909218078825942983378451646245382112041426447444204835223315146711966408514299858213912132061000482447484321265747688044302981442804080129437