Overview

Dataset statistics

Number of variables33
Number of observations114
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.1 KiB
Average record size in memory297.2 B

Variable types

Text1
Numeric17
Categorical15

Dataset

Description지사,합계,지자체 소계,재무,건강 ,여가 ,대인관계 ,전문기관 소계 ,한국주택 금융공사(재무),한국 농어촌공사(재무),서민금융진흥원(재무),소상공인 시장진흥공단(재무),대한법률 구조공단(재무),여성 새로 일하기센터(재무),귀농귀촌종합센터(재무),LH 한국토지주택공사(재무),근로복지공단(재무),중소기업중앙회(재무),국민체육 진흥공단(건강),국민건강 보험공단(건강),지방의료원 연합회(건강),중앙치매센터(건강),자원봉사센터(여가),종합 사회복지관(여가),지방문화원(여가),아름다운 가게(여가),한국관광공사(여가),국가평생교육진흥원(여가),한국등산·트레킹지원센터(여가),건강가정 지원센터(대인관계),서울시50플러스재단(대인관계),한국가정법률상담소(대인관계),직접입력
Author국민연금공단
URLhttps://www.data.go.kr/data/15094921/fileData.do

Alerts

대인관계 has constant value ""Constant
지방의료원 연합회(건강) has constant value ""Constant
직접입력 has constant value ""Constant
한국 농어촌공사(재무) is highly imbalanced (65.6%)Imbalance
소상공인 시장진흥공단(재무) is highly imbalanced (80.8%)Imbalance
대한법률 구조공단(재무) is highly imbalanced (92.7%)Imbalance
귀농귀촌종합센터(재무) is highly imbalanced (90.9%)Imbalance
근로복지공단(재무) is highly imbalanced (86.4%)Imbalance
중앙치매센터(건강) is highly imbalanced (92.7%)Imbalance
종합 사회복지관(여가) is highly imbalanced (80.8%)Imbalance
지방문화원(여가) is highly imbalanced (87.4%)Imbalance
아름다운 가게(여가) is highly imbalanced (84.4%)Imbalance
한국등산·트레킹지원센터(여가) is highly imbalanced (85.2%)Imbalance
서울시50플러스재단(대인관계) is highly imbalanced (89.1%)Imbalance
한국가정법률상담소(대인관계) is highly imbalanced (92.7%)Imbalance
지사 has unique valuesUnique
합계 has 3 (2.6%) zerosZeros
지자체 소계 has 3 (2.6%) zerosZeros
재무 has 3 (2.6%) zerosZeros
건강 has 49 (43.0%) zerosZeros
여가 has 11 (9.6%) zerosZeros
전문기관 소계 has 4 (3.5%) zerosZeros
한국주택 금융공사(재무) has 20 (17.5%) zerosZeros
서민금융진흥원(재무) has 94 (82.5%) zerosZeros
여성 새로 일하기센터(재무) has 102 (89.5%) zerosZeros
LH 한국토지주택공사(재무) has 103 (90.4%) zerosZeros
중소기업중앙회(재무) has 106 (93.0%) zerosZeros
국민체육 진흥공단(건강) has 7 (6.1%) zerosZeros
국민건강 보험공단(건강) has 9 (7.9%) zerosZeros
자원봉사센터(여가) has 45 (39.5%) zerosZeros
한국관광공사(여가) has 108 (94.7%) zerosZeros
국가평생교육진흥원(여가) has 55 (48.2%) zerosZeros
건강가정 지원센터(대인관계) has 26 (22.8%) zerosZeros

Reproduction

Analysis started2023-12-12 20:51:21.057574
Analysis finished2023-12-12 20:51:21.387763
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지사
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-13T05:51:21.587011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length3.2280702
Min length2

Characters and Unicode

Total characters368
Distinct characters106
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)100.0%

Sample

1st row종로중구
2nd row동대문중랑
3rd row성북강북
4th row도봉노원
5th row성동광진
ValueCountFrequency (%)
종로중구 1
 
0.9%
세종 1
 
0.9%
공주부여 1
 
0.9%
보령 1
 
0.9%
홍성 1
 
0.9%
천안 1
 
0.9%
서청주 1
 
0.9%
옥천 1
 
0.9%
충주 1
 
0.9%
동청주 1
 
0.9%
Other values (104) 104
91.2%
2023-12-13T05:51:21.971151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 21
 
5.7%
산 20
 
5.4%
주 20
 
5.4%
천 16
 
4.3%
동 13
 
3.5%
남 11
 
3.0%
대 11
 
3.0%
서 11
 
3.0%
양 10
 
2.7%
역 9
 
2.4%
Other values (96) 226
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 368
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 21
 
5.7%
산 20
 
5.4%
주 20
 
5.4%
천 16
 
4.3%
동 13
 
3.5%
남 11
 
3.0%
대 11
 
3.0%
서 11
 
3.0%
양 10
 
2.7%
역 9
 
2.4%
Other values (96) 226
61.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 368
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 21
 
5.7%
산 20
 
5.4%
주 20
 
5.4%
천 16
 
4.3%
동 13
 
3.5%
남 11
 
3.0%
대 11
 
3.0%
서 11
 
3.0%
양 10
 
2.7%
역 9
 
2.4%
Other values (96) 226
61.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 368
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 21
 
5.7%
산 20
 
5.4%
주 20
 
5.4%
천 16
 
4.3%
동 13
 
3.5%
남 11
 
3.0%
대 11
 
3.0%
서 11
 
3.0%
양 10
 
2.7%
역 9
 
2.4%
Other values (96) 226
61.4%

합계
Real number (ℝ)

ZEROS 

Distinct108
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean805.04386
Minimum0
Maximum3464
Zeros3
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:22.111338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52.95
Q1215.25
median515.5
Q31180.25
95-th percentile2551.5
Maximum3464
Range3464
Interquartile range (IQR)965

Descriptive statistics

Standard deviation809.22964
Coefficient of variation (CV)1.0051994
Kurtosis1.556558
Mean805.04386
Median Absolute Deviation (MAD)358.5
Skewness1.4495702
Sum91775
Variance654852.61
MonotonicityNot monotonic
2023-12-13T05:51:22.269100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
2.6%
176 2
 
1.8%
331 2
 
1.8%
289 2
 
1.8%
280 2
 
1.8%
51 1
 
0.9%
814 1
 
0.9%
988 1
 
0.9%
375 1
 
0.9%
1391 1
 
0.9%
Other values (98) 98
86.0%
ValueCountFrequency (%)
0 3
2.6%
39 1
 
0.9%
47 1
 
0.9%
51 1
 
0.9%
54 1
 
0.9%
62 1
 
0.9%
66 1
 
0.9%
76 1
 
0.9%
83 1
 
0.9%
98 1
 
0.9%
ValueCountFrequency (%)
3464 1
0.9%
3408 1
0.9%
3268 1
0.9%
2669 1
0.9%
2611 1
0.9%
2610 1
0.9%
2520 1
0.9%
2476 1
0.9%
2280 1
0.9%
2139 1
0.9%

지자체 소계
Real number (ℝ)

ZEROS 

Distinct103
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean380.91228
Minimum0
Maximum1949
Zeros3
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:22.432585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.65
Q198.5
median250
Q3531.75
95-th percentile1145.85
Maximum1949
Range1949
Interquartile range (IQR)433.25

Descriptive statistics

Standard deviation376.16915
Coefficient of variation (CV)0.98754798
Kurtosis2.9959001
Mean380.91228
Median Absolute Deviation (MAD)178
Skewness1.6350049
Sum43424
Variance141503.23
MonotonicityNot monotonic
2023-12-13T05:51:22.570571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
2.6%
72 2
 
1.8%
761 2
 
1.8%
53 2
 
1.8%
189 2
 
1.8%
80 2
 
1.8%
47 2
 
1.8%
219 2
 
1.8%
220 2
 
1.8%
251 2
 
1.8%
Other values (93) 93
81.6%
ValueCountFrequency (%)
0 3
2.6%
6 1
 
0.9%
18 1
 
0.9%
19 1
 
0.9%
20 1
 
0.9%
30 1
 
0.9%
35 1
 
0.9%
38 1
 
0.9%
40 1
 
0.9%
46 1
 
0.9%
ValueCountFrequency (%)
1949 1
0.9%
1664 1
0.9%
1386 1
0.9%
1313 1
0.9%
1201 1
0.9%
1153 1
0.9%
1142 1
0.9%
1097 1
0.9%
1005 1
0.9%
966 1
0.9%

재무
Real number (ℝ)

ZEROS 

Distinct99
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.68421
Minimum0
Maximum1175
Zeros3
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:22.776098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q153.25
median212
Q3346.25
95-th percentile642.2
Maximum1175
Range1175
Interquartile range (IQR)293

Descriptive statistics

Standard deviation213.63691
Coefficient of variation (CV)0.90262428
Kurtosis2.3136284
Mean236.68421
Median Absolute Deviation (MAD)153.5
Skewness1.249068
Sum26982
Variance45640.731
MonotonicityNot monotonic
2023-12-13T05:51:22.921788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230 3
 
2.6%
5 3
 
2.6%
0 3
 
2.6%
338 2
 
1.8%
369 2
 
1.8%
520 2
 
1.8%
99 2
 
1.8%
200 2
 
1.8%
16 2
 
1.8%
8 2
 
1.8%
Other values (89) 91
79.8%
ValueCountFrequency (%)
0 3
2.6%
1 1
 
0.9%
5 3
2.6%
6 1
 
0.9%
7 1
 
0.9%
8 2
1.8%
11 1
 
0.9%
14 1
 
0.9%
16 2
1.8%
18 1
 
0.9%
ValueCountFrequency (%)
1175 1
0.9%
754 1
0.9%
732 1
0.9%
708 1
0.9%
658 1
0.9%
650 1
0.9%
638 1
0.9%
573 1
0.9%
557 1
0.9%
549 1
0.9%

건강
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5701754
Minimum0
Maximum54
Zeros49
Zeros (%)43.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:23.053877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11.35
Maximum54
Range54
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.3379602
Coefficient of variation (CV)2.3354483
Kurtosis22.980149
Mean3.5701754
Median Absolute Deviation (MAD)1
Skewness4.5492914
Sum407
Variance69.52158
MonotonicityNot monotonic
2023-12-13T05:51:23.168637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 49
43.0%
1 19
 
16.7%
2 11
 
9.6%
3 10
 
8.8%
8 5
 
4.4%
6 3
 
2.6%
11 3
 
2.6%
4 3
 
2.6%
12 2
 
1.8%
9 2
 
1.8%
Other values (7) 7
 
6.1%
ValueCountFrequency (%)
0 49
43.0%
1 19
 
16.7%
2 11
 
9.6%
3 10
 
8.8%
4 3
 
2.6%
5 1
 
0.9%
6 3
 
2.6%
7 1
 
0.9%
8 5
 
4.4%
9 2
 
1.8%
ValueCountFrequency (%)
54 1
 
0.9%
51 1
 
0.9%
40 1
 
0.9%
24 1
 
0.9%
12 2
 
1.8%
11 3
2.6%
10 1
 
0.9%
9 2
 
1.8%
8 5
4.4%
7 1
 
0.9%

여가
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.65789
Minimum0
Maximum1112
Zeros11
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:23.292944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median28.5
Q3177
95-th percentile661.05
Maximum1112
Range1112
Interquartile range (IQR)174

Descriptive statistics

Standard deviation232.94987
Coefficient of variation (CV)1.656145
Kurtosis4.7580173
Mean140.65789
Median Absolute Deviation (MAD)27.5
Skewness2.2207009
Sum16035
Variance54265.643
MonotonicityNot monotonic
2023-12-13T05:51:23.445766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11
 
9.6%
2 7
 
6.1%
1 7
 
6.1%
3 5
 
4.4%
16 3
 
2.6%
53 3
 
2.6%
7 3
 
2.6%
4 3
 
2.6%
5 3
 
2.6%
9 2
 
1.8%
Other values (62) 67
58.8%
ValueCountFrequency (%)
0 11
9.6%
1 7
6.1%
2 7
6.1%
3 5
4.4%
4 3
 
2.6%
5 3
 
2.6%
6 1
 
0.9%
7 3
 
2.6%
8 1
 
0.9%
9 2
 
1.8%
ValueCountFrequency (%)
1112 1
0.9%
1003 1
0.9%
950 1
0.9%
769 1
0.9%
682 1
0.9%
663 1
0.9%
660 1
0.9%
591 1
0.9%
568 1
0.9%
555 1
0.9%

대인관계
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
114 

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 (%)
0 114
100.0%

Length

2023-12-13T05:51:23.601611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:23.690765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 114
100.0%

전문기관 소계
Real number (ℝ)

ZEROS 

Distinct102
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean424.13158
Minimum0
Maximum2078
Zeros4
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:23.789940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q144.25
median244
Q3634
95-th percentile1462.15
Maximum2078
Range2078
Interquartile range (IQR)589.75

Descriptive statistics

Standard deviation485.46386
Coefficient of variation (CV)1.1446067
Kurtosis0.88614783
Mean424.13158
Median Absolute Deviation (MAD)231
Skewness1.3007687
Sum48351
Variance235675.16
MonotonicityNot monotonic
2023-12-13T05:51:23.955244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
3.5%
11 3
 
2.6%
4 3
 
2.6%
255 2
 
1.8%
8 2
 
1.8%
5 2
 
1.8%
7 2
 
1.8%
584 2
 
1.8%
21 1
 
0.9%
55 1
 
0.9%
Other values (92) 92
80.7%
ValueCountFrequency (%)
0 4
3.5%
2 1
 
0.9%
4 3
2.6%
5 2
1.8%
6 1
 
0.9%
7 2
1.8%
8 2
1.8%
10 1
 
0.9%
11 3
2.6%
15 1
 
0.9%
ValueCountFrequency (%)
2078 1
0.9%
1697 1
0.9%
1604 1
0.9%
1556 1
0.9%
1532 1
0.9%
1468 1
0.9%
1459 1
0.9%
1410 1
0.9%
1385 1
0.9%
1356 1
0.9%

한국주택 금융공사(재무)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9824561
Minimum0
Maximum84
Zeros20
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:24.079676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile13.7
Maximum84
Range84
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.3949548
Coefficient of variation (CV)1.8856071
Kurtosis46.823579
Mean4.9824561
Median Absolute Deviation (MAD)2
Skewness6.1699191
Sum568
Variance88.265176
MonotonicityNot monotonic
2023-12-13T05:51:24.177163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 20
17.5%
3 19
16.7%
1 16
14.0%
4 15
13.2%
2 10
8.8%
7 8
 
7.0%
5 6
 
5.3%
8 5
 
4.4%
6 4
 
3.5%
11 2
 
1.8%
Other values (9) 9
7.9%
ValueCountFrequency (%)
0 20
17.5%
1 16
14.0%
2 10
8.8%
3 19
16.7%
4 15
13.2%
5 6
 
5.3%
6 4
 
3.5%
7 8
 
7.0%
8 5
 
4.4%
10 1
 
0.9%
ValueCountFrequency (%)
84 1
0.9%
44 1
0.9%
27 1
0.9%
21 1
0.9%
17 1
0.9%
15 1
0.9%
13 1
0.9%
12 1
0.9%
11 2
1.8%
10 1
0.9%

한국 농어촌공사(재무)
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
97 
1
12 
2
 
3
9
 
1
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 97
85.1%
1 12
 
10.5%
2 3
 
2.6%
9 1
 
0.9%
7 1
 
0.9%

Length

2023-12-13T05:51:24.281002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:24.381275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 97
85.1%
1 12
 
10.5%
2 3
 
2.6%
9 1
 
0.9%
7 1
 
0.9%

서민금융진흥원(재무)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.39473684
Minimum0
Maximum5
Zeros94
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:24.498277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0443139
Coefficient of variation (CV)2.6455952
Kurtosis8.9125508
Mean0.39473684
Median Absolute Deviation (MAD)0
Skewness3.0374058
Sum45
Variance1.0905915
MonotonicityNot monotonic
2023-12-13T05:51:24.601992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 94
82.5%
1 9
 
7.9%
2 4
 
3.5%
4 3
 
2.6%
5 2
 
1.8%
3 2
 
1.8%
ValueCountFrequency (%)
0 94
82.5%
1 9
 
7.9%
2 4
 
3.5%
3 2
 
1.8%
4 3
 
2.6%
5 2
 
1.8%
ValueCountFrequency (%)
5 2
 
1.8%
4 3
 
2.6%
3 2
 
1.8%
2 4
 
3.5%
1 9
 
7.9%
0 94
82.5%

소상공인 시장진흥공단(재무)
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
107 
1
 
3
2
 
2
3
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 107
93.9%
1 3
 
2.6%
2 2
 
1.8%
3 1
 
0.9%
5 1
 
0.9%

Length

2023-12-13T05:51:24.713562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:24.836159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107
93.9%
1 3
 
2.6%
2 2
 
1.8%
3 1
 
0.9%
5 1
 
0.9%

대한법률 구조공단(재무)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
113 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 113
99.1%
1 1
 
0.9%

Length

2023-12-13T05:51:25.011417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:25.120017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 113
99.1%
1 1
 
0.9%

여성 새로 일하기센터(재무)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57017544
Minimum0
Maximum26
Zeros102
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:25.200200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.35
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.9448299
Coefficient of variation (CV)5.1647785
Kurtosis53.903052
Mean0.57017544
Median Absolute Deviation (MAD)0
Skewness7.0090935
Sum65
Variance8.672023
MonotonicityNot monotonic
2023-12-13T05:51:25.338995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 102
89.5%
1 6
 
5.3%
3 2
 
1.8%
13 1
 
0.9%
12 1
 
0.9%
2 1
 
0.9%
26 1
 
0.9%
ValueCountFrequency (%)
0 102
89.5%
1 6
 
5.3%
2 1
 
0.9%
3 2
 
1.8%
12 1
 
0.9%
13 1
 
0.9%
26 1
 
0.9%
ValueCountFrequency (%)
26 1
 
0.9%
13 1
 
0.9%
12 1
 
0.9%
3 2
 
1.8%
2 1
 
0.9%
1 6
 
5.3%
0 102
89.5%

귀농귀촌종합센터(재무)
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
112 
1
 
1
11
 
1

Length

Max length2
Median length1
Mean length1.0087719
Min length1

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 112
98.2%
1 1
 
0.9%
11 1
 
0.9%

Length

2023-12-13T05:51:25.452529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:25.574645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 112
98.2%
1 1
 
0.9%
11 1
 
0.9%

LH 한국토지주택공사(재무)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6754386
Minimum0
Maximum21
Zeros103
Zeros (%)90.4%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:25.680252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.35
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1412066
Coefficient of variation (CV)4.6506176
Kurtosis26.873962
Mean0.6754386
Median Absolute Deviation (MAD)0
Skewness5.2143835
Sum77
Variance9.867179
MonotonicityNot monotonic
2023-12-13T05:51:25.809089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 103
90.4%
1 5
 
4.4%
16 2
 
1.8%
2 1
 
0.9%
3 1
 
0.9%
21 1
 
0.9%
14 1
 
0.9%
ValueCountFrequency (%)
0 103
90.4%
1 5
 
4.4%
2 1
 
0.9%
3 1
 
0.9%
14 1
 
0.9%
16 2
 
1.8%
21 1
 
0.9%
ValueCountFrequency (%)
21 1
 
0.9%
16 2
 
1.8%
14 1
 
0.9%
3 1
 
0.9%
2 1
 
0.9%
1 5
 
4.4%
0 103
90.4%

근로복지공단(재무)
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
110 
1
 
2
11
 
1
6
 
1

Length

Max length2
Median length1
Mean length1.0087719
Min length1

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 110
96.5%
1 2
 
1.8%
11 1
 
0.9%
6 1
 
0.9%

Length

2023-12-13T05:51:25.981080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:26.087093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 110
96.5%
1 2
 
1.8%
11 1
 
0.9%
6 1
 
0.9%

중소기업중앙회(재무)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23684211
Minimum0
Maximum7
Zeros106
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:26.176007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0070779
Coefficient of variation (CV)4.2521066
Kurtosis26.038004
Mean0.23684211
Median Absolute Deviation (MAD)0
Skewness4.956765
Sum27
Variance1.0142059
MonotonicityNot monotonic
2023-12-13T05:51:26.283812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 106
93.0%
2 3
 
2.6%
5 2
 
1.8%
3 1
 
0.9%
1 1
 
0.9%
7 1
 
0.9%
ValueCountFrequency (%)
0 106
93.0%
1 1
 
0.9%
2 3
 
2.6%
3 1
 
0.9%
5 2
 
1.8%
7 1
 
0.9%
ValueCountFrequency (%)
7 1
 
0.9%
5 2
 
1.8%
3 1
 
0.9%
2 3
 
2.6%
1 1
 
0.9%
0 106
93.0%

국민체육 진흥공단(건강)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean177.4386
Minimum0
Maximum989
Zeros7
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:26.433176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median50
Q3247
95-th percentile587.7
Maximum989
Range989
Interquartile range (IQR)238

Descriptive statistics

Standard deviation233.64227
Coefficient of variation (CV)1.31675
Kurtosis1.3640378
Mean177.4386
Median Absolute Deviation (MAD)49
Skewness1.4638489
Sum20228
Variance54588.709
MonotonicityNot monotonic
2023-12-13T05:51:26.589720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9
 
7.9%
0 7
 
6.1%
12 4
 
3.5%
9 3
 
2.6%
3 3
 
2.6%
2 3
 
2.6%
15 3
 
2.6%
189 2
 
1.8%
247 2
 
1.8%
43 2
 
1.8%
Other values (71) 76
66.7%
ValueCountFrequency (%)
0 7
6.1%
1 9
7.9%
2 3
 
2.6%
3 3
 
2.6%
5 1
 
0.9%
6 2
 
1.8%
7 2
 
1.8%
9 3
 
2.6%
11 1
 
0.9%
12 4
3.5%
ValueCountFrequency (%)
989 1
0.9%
847 1
0.9%
825 1
0.9%
816 1
0.9%
763 1
0.9%
602 1
0.9%
580 1
0.9%
574 1
0.9%
569 1
0.9%
565 1
0.9%

국민건강 보험공단(건강)
Real number (ℝ)

ZEROS 

Distinct81
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.04386
Minimum0
Maximum946
Zeros9
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:26.743315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median45
Q3186
95-th percentile569.45
Maximum946
Range946
Interquartile range (IQR)180

Descriptive statistics

Standard deviation201.308
Coefficient of variation (CV)1.490686
Kurtosis5.1049452
Mean135.04386
Median Absolute Deviation (MAD)43.5
Skewness2.226615
Sum15395
Variance40524.91
MonotonicityNot monotonic
2023-12-13T05:51:27.191322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
7.9%
1 6
 
5.3%
2 5
 
4.4%
4 4
 
3.5%
43 3
 
2.6%
3 3
 
2.6%
9 2
 
1.8%
20 2
 
1.8%
25 2
 
1.8%
15 2
 
1.8%
Other values (71) 76
66.7%
ValueCountFrequency (%)
0 9
7.9%
1 6
5.3%
2 5
4.4%
3 3
 
2.6%
4 4
3.5%
5 1
 
0.9%
6 2
 
1.8%
7 1
 
0.9%
9 2
 
1.8%
10 1
 
0.9%
ValueCountFrequency (%)
946 1
0.9%
904 1
0.9%
887 1
0.9%
753 1
0.9%
606 1
0.9%
574 1
0.9%
567 1
0.9%
476 1
0.9%
451 1
0.9%
426 1
0.9%

지방의료원 연합회(건강)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
114 

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 (%)
0 114
100.0%

Length

2023-12-13T05:51:27.332968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:27.428354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 114
100.0%

중앙치매센터(건강)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
113 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 113
99.1%
5 1
 
0.9%

Length

2023-12-13T05:51:27.527704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:27.626975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 113
99.1%
5 1
 
0.9%

자원봉사센터(여가)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.526316
Minimum0
Maximum203
Zeros45
Zeros (%)39.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:27.729764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile33.75
Maximum203
Range203
Interquartile range (IQR)6

Descriptive statistics

Standard deviation31.618638
Coefficient of variation (CV)3.0037706
Kurtosis23.320923
Mean10.526316
Median Absolute Deviation (MAD)1
Skewness4.7635987
Sum1200
Variance999.73824
MonotonicityNot monotonic
2023-12-13T05:51:27.875813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 45
39.5%
1 15
 
13.2%
2 9
 
7.9%
3 6
 
5.3%
4 6
 
5.3%
6 3
 
2.6%
5 3
 
2.6%
9 3
 
2.6%
13 2
 
1.8%
7 2
 
1.8%
Other values (19) 20
17.5%
ValueCountFrequency (%)
0 45
39.5%
1 15
 
13.2%
2 9
 
7.9%
3 6
 
5.3%
4 6
 
5.3%
5 3
 
2.6%
6 3
 
2.6%
7 2
 
1.8%
8 2
 
1.8%
9 3
 
2.6%
ValueCountFrequency (%)
203 1
0.9%
181 1
0.9%
148 1
0.9%
136 1
0.9%
55 1
0.9%
37 1
0.9%
32 1
0.9%
30 1
0.9%
28 1
0.9%
23 1
0.9%

종합 사회복지관(여가)
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
107 
1
 
3
3
 
2
14
 
1
12
 
1

Length

Max length2
Median length1
Mean length1.0175439
Min length1

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 107
93.9%
1 3
 
2.6%
3 2
 
1.8%
14 1
 
0.9%
12 1
 
0.9%

Length

2023-12-13T05:51:28.009143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:28.127571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 107
93.9%
1 3
 
2.6%
3 2
 
1.8%
14 1
 
0.9%
12 1
 
0.9%

지방문화원(여가)
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
111 
2
 
2
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 111
97.4%
2 2
 
1.8%
1 1
 
0.9%

Length

2023-12-13T05:51:28.262065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:28.421248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 111
97.4%
2 2
 
1.8%
1 1
 
0.9%

아름다운 가게(여가)
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
110 
1
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 110
96.5%
1 3
 
2.6%
3 1
 
0.9%

Length

2023-12-13T05:51:28.544154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:28.675407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 110
96.5%
1 3
 
2.6%
3 1
 
0.9%

한국관광공사(여가)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53508772
Minimum0
Maximum40
Zeros108
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:28.789353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.35
Maximum40
Range40
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.9131723
Coefficient of variation (CV)7.3131416
Kurtosis93.973068
Mean0.53508772
Median Absolute Deviation (MAD)0
Skewness9.434464
Sum61
Variance15.312917
MonotonicityNot monotonic
2023-12-13T05:51:28.959436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 108
94.7%
1 2
 
1.8%
11 1
 
0.9%
6 1
 
0.9%
2 1
 
0.9%
40 1
 
0.9%
ValueCountFrequency (%)
0 108
94.7%
1 2
 
1.8%
2 1
 
0.9%
6 1
 
0.9%
11 1
 
0.9%
40 1
 
0.9%
ValueCountFrequency (%)
40 1
 
0.9%
11 1
 
0.9%
6 1
 
0.9%
2 1
 
0.9%
1 2
 
1.8%
0 108
94.7%

국가평생교육진흥원(여가)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.254386
Minimum0
Maximum469
Zeros55
Zeros (%)48.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:29.109103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile36.7
Maximum469
Range469
Interquartile range (IQR)3

Descriptive statistics

Standard deviation46.437476
Coefficient of variation (CV)4.5285477
Kurtosis86.19101
Mean10.254386
Median Absolute Deviation (MAD)1
Skewness8.8615581
Sum1169
Variance2156.4391
MonotonicityNot monotonic
2023-12-13T05:51:29.263645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 55
48.2%
1 14
 
12.3%
2 11
 
9.6%
3 6
 
5.3%
5 4
 
3.5%
6 3
 
2.6%
4 3
 
2.6%
10 2
 
1.8%
32 2
 
1.8%
97 1
 
0.9%
Other values (13) 13
 
11.4%
ValueCountFrequency (%)
0 55
48.2%
1 14
 
12.3%
2 11
 
9.6%
3 6
 
5.3%
4 3
 
2.6%
5 4
 
3.5%
6 3
 
2.6%
7 1
 
0.9%
10 2
 
1.8%
11 1
 
0.9%
ValueCountFrequency (%)
469 1
0.9%
118 1
0.9%
97 1
0.9%
43 1
0.9%
39 1
0.9%
38 1
0.9%
36 1
0.9%
35 1
0.9%
34 1
0.9%
32 2
1.8%

한국등산·트레킹지원센터(여가)
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
109 
1
 
2
7
 
1
4
 
1
42
 
1

Length

Max length2
Median length1
Mean length1.0087719
Min length1

Unique

Unique3 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 109
95.6%
1 2
 
1.8%
7 1
 
0.9%
4 1
 
0.9%
42 1
 
0.9%

Length

2023-12-13T05:51:29.423701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:29.560889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 109
95.6%
1 2
 
1.8%
7 1
 
0.9%
4 1
 
0.9%
42 1
 
0.9%

건강가정 지원센터(대인관계)
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.763158
Minimum0
Maximum726
Zeros26
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T05:51:29.729423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13
Q3101.5
95-th percentile399.25
Maximum726
Range726
Interquartile range (IQR)100.5

Descriptive statistics

Standard deviation149.88877
Coefficient of variation (CV)1.8332067
Kurtosis6.5459674
Mean81.763158
Median Absolute Deviation (MAD)13
Skewness2.5648931
Sum9321
Variance22466.643
MonotonicityNot monotonic
2023-12-13T05:51:29.910733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
22.8%
1 11
 
9.6%
2 6
 
5.3%
5 5
 
4.4%
3 4
 
3.5%
27 3
 
2.6%
13 3
 
2.6%
16 2
 
1.8%
26 2
 
1.8%
82 2
 
1.8%
Other values (46) 50
43.9%
ValueCountFrequency (%)
0 26
22.8%
1 11
9.6%
2 6
 
5.3%
3 4
 
3.5%
4 2
 
1.8%
5 5
 
4.4%
6 1
 
0.9%
13 3
 
2.6%
15 1
 
0.9%
16 2
 
1.8%
ValueCountFrequency (%)
726 1
0.9%
654 1
0.9%
627 1
0.9%
585 1
0.9%
533 1
0.9%
461 1
0.9%
366 1
0.9%
362 1
0.9%
317 1
0.9%
314 1
0.9%

서울시50플러스재단(대인관계)
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
111 
1
 
1
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 111
97.4%
1 1
 
0.9%
4 1
 
0.9%
2 1
 
0.9%

Length

2023-12-13T05:51:30.089913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:30.231133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 111
97.4%
1 1
 
0.9%
4 1
 
0.9%
2 1
 
0.9%

한국가정법률상담소(대인관계)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
113 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 113
99.1%
1 1
 
0.9%

Length

2023-12-13T05:51:30.372517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:30.474664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 113
99.1%
1 1
 
0.9%

직접입력
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
0
114 

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 (%)
0 114
100.0%

Length

2023-12-13T05:51:30.572521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:30.665837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 114
100.0%

Sample

지사합계지자체 소계재무건강여가대인관계전문기관 소계한국주택 금융공사(재무)한국 농어촌공사(재무)서민금융진흥원(재무)소상공인 시장진흥공단(재무)대한법률 구조공단(재무)여성 새로 일하기센터(재무)귀농귀촌종합센터(재무)LH 한국토지주택공사(재무)근로복지공단(재무)중소기업중앙회(재무)국민체육 진흥공단(건강)국민건강 보험공단(건강)지방의료원 연합회(건강)중앙치매센터(건강)자원봉사센터(여가)종합 사회복지관(여가)지방문화원(여가)아름다운 가게(여가)한국관광공사(여가)국가평생교육진흥원(여가)한국등산·트레킹지원센터(여가)건강가정 지원센터(대인관계)서울시50플러스재단(대인관계)한국가정법률상담소(대인관계)직접입력
0종로중구51301401602110000000001720000000001000
1동대문중랑6582196921480439201000000022593002800001089000
2성북강북18417817800064000000000110000000000000
3도봉노원120816611403910000000002660010000203000
4성동광진16897920507150000000002570000000205000
5송파3408194911755769014591221000020227753003000030654000
6강동하남85776173212809600000000001950001300001004000
7서울남부지역본부54548246589063400001000014430000000000100
8서초1601766294047208353000000000370244002000030213000
9관악6906606580203050000000006100040000500000
지사합계지자체 소계재무건강여가대인관계전문기관 소계한국주택 금융공사(재무)한국 농어촌공사(재무)서민금융진흥원(재무)소상공인 시장진흥공단(재무)대한법률 구조공단(재무)여성 새로 일하기센터(재무)귀농귀촌종합센터(재무)LH 한국토지주택공사(재무)근로복지공단(재무)중소기업중앙회(재무)국민체육 진흥공단(건강)국민건강 보험공단(건강)지방의료원 연합회(건강)중앙치매센터(건강)자원봉사센터(여가)종합 사회복지관(여가)지방문화원(여가)아름다운 가게(여가)한국관광공사(여가)국가평생교육진흥원(여가)한국등산·트레킹지원센터(여가)건강가정 지원센터(대인관계)서울시50플러스재단(대인관계)한국가정법률상담소(대인관계)직접입력
104창원115715152118801006217100301078259400631116128000
105김해밀양118877055702130418000000000018943006000000180000
106통영580335274160024540000000001723300900000027000
107진주12111311201083000000000230000000000000
108마산710220202414049020000000001633180020000005000
109거창6647376401930000000001230000000001000
110양산37618911007901871000000000736500000001047000
111사천남해25825125001075000000000100010000000000
112제주8132512312180562700000000012590014000046901000
113서귀포2802392320704170000000007270000000000000