Overview

Dataset statistics

Number of variables23
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory208.1 B

Variable types

Text1
Numeric6
Categorical16

Dataset

Description경상남도 양산시의 수방자재 보유 현황에 대한 정보로 주관부서, 접수, 해결, 일부해결, 해결+일부해결, 법적불가, 기타불가, 법적+기타, 이첩, 이송, 이첩+이송, 취하, 반려, 경유, 진달, 공람, 미수령, 착오, 시스템장애, 미처리, 내부종결, 오류제증명, 기타, 기타+경유+진달+공람+미수령, 합계, 진행중, 진행중(지연), 완료(지연) 의 항목을 제공합니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15103510

Alerts

이첩 has constant value ""Constant
경유 has constant value ""Constant
진달 has constant value ""Constant
공람 has constant value ""Constant
미수령 has constant value ""Constant
기타 has constant value ""Constant
진행중(지연) has constant value ""Constant
일부해결 is highly imbalanced (79.4%)Imbalance
법적불가 is highly imbalanced (72.0%)Imbalance
기타불가 is highly imbalanced (79.6%)Imbalance
이송 is highly imbalanced (75.9%)Imbalance
반려 is highly imbalanced (58.9%)Imbalance
착오 is highly imbalanced (57.6%)Imbalance
미처리 is highly imbalanced (79.6%)Imbalance
내부종결 is highly imbalanced (88.1%)Imbalance
완료(지연) is highly imbalanced (65.5%)Imbalance
주관부서 has unique valuesUnique
해결 has 1 (1.6%) zerosZeros
취하 has 38 (61.3%) zerosZeros
시스템장애 has 52 (83.9%) zerosZeros
오류제증명 has 49 (79.0%) zerosZeros
진행중 has 39 (62.9%) zerosZeros

Reproduction

Analysis started2023-12-10 23:39:31.521471
Analysis finished2023-12-10 23:39:31.776754
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주관부서
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2023-12-11T08:39:31.995868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.4677419
Min length2

Characters and Unicode

Total characters525
Distinct characters112
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

Unique62 ?
Unique (%)100.0%

Sample

1st row감사담당관
2nd row강서동
3rd row개발주택국
4th row개발주택국 건축과
5th row개발주택국 공공시설과
ValueCountFrequency (%)
복지문화국 6
 
5.7%
개발주택국 6
 
5.7%
경제산업국 6
 
5.7%
안전도시국 6
 
5.7%
웅상출장소 5
 
4.8%
환경녹지국 5
 
4.8%
보건소 3
 
2.9%
농업기술센터 3
 
2.9%
상하수도사업소 2
 
1.9%
행정지원국 2
 
1.9%
Other values (61) 61
58.1%
2023-12-11T08:39:32.454303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
8.2%
과 42
 
8.0%
국 31
 
5.9%
지 19
 
3.6%
경 14
 
2.7%
업 14
 
2.7%
소 14
 
2.7%
도 14
 
2.7%
동 13
 
2.5%
시 11
 
2.1%
Other values (102) 310
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 482
91.8%
Space Separator 43
 
8.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 42
 
8.7%
국 31
 
6.4%
지 19
 
3.9%
경 14
 
2.9%
업 14
 
2.9%
소 14
 
2.9%
도 14
 
2.9%
동 13
 
2.7%
시 11
 
2.3%
주 10
 
2.1%
Other values (101) 300
62.2%
Space Separator
ValueCountFrequency (%)
43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 482
91.8%
Common 43
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 42
 
8.7%
국 31
 
6.4%
지 19
 
3.9%
경 14
 
2.9%
업 14
 
2.9%
소 14
 
2.9%
도 14
 
2.9%
동 13
 
2.7%
시 11
 
2.3%
주 10
 
2.1%
Other values (101) 300
62.2%
Common
ValueCountFrequency (%)
43
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 482
91.8%
ASCII 43
 
8.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43
100.0%
Hangul
ValueCountFrequency (%)
과 42
 
8.7%
국 31
 
6.4%
지 19
 
3.9%
경 14
 
2.9%
업 14
 
2.9%
소 14
 
2.9%
도 14
 
2.9%
동 13
 
2.7%
시 11
 
2.3%
주 10
 
2.1%
Other values (101) 300
62.2%

접수
Real number (ℝ)

Distinct52
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1005.4677
Minimum1
Maximum33754
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T08:39:32.634385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q115
median96
Q3446.25
95-th percentile2172.2
Maximum33754
Range33753
Interquartile range (IQR)431.25

Descriptive statistics

Standard deviation4353.4915
Coefficient of variation (CV)4.3298172
Kurtosis54.847253
Mean1005.4677
Median Absolute Deviation (MAD)93.5
Skewness7.2558634
Sum62339
Variance18952888
MonotonicityNot monotonic
2023-12-11T08:39:32.781997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3
 
4.8%
3 3
 
4.8%
2 3
 
4.8%
39 2
 
3.2%
17 2
 
3.2%
15 2
 
3.2%
5 2
 
3.2%
56 1
 
1.6%
1038 1
 
1.6%
855 1
 
1.6%
Other values (42) 42
67.7%
ValueCountFrequency (%)
1 3
4.8%
2 3
4.8%
3 3
4.8%
4 1
 
1.6%
5 2
3.2%
7 1
 
1.6%
8 1
 
1.6%
11 1
 
1.6%
15 2
3.2%
17 2
3.2%
ValueCountFrequency (%)
33754 1
1.6%
7326 1
1.6%
2275 1
1.6%
2193 1
1.6%
1777 1
1.6%
1555 1
1.6%
1390 1
1.6%
1328 1
1.6%
1253 1
1.6%
1038 1
1.6%

해결
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean990.54839
Minimum0
Maximum33683
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T08:39:32.919011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112.5
median95.5
Q3432.75
95-th percentile2133.25
Maximum33683
Range33683
Interquartile range (IQR)420.25

Descriptive statistics

Standard deviation4344.0571
Coefficient of variation (CV)4.3855072
Kurtosis54.950189
Mean990.54839
Median Absolute Deviation (MAD)93.5
Skewness7.2645514
Sum61414
Variance18870832
MonotonicityNot monotonic
2023-12-11T08:39:33.098413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5
 
8.1%
1 2
 
3.2%
33 2
 
3.2%
3 2
 
3.2%
172 1
 
1.6%
1006 1
 
1.6%
850 1
 
1.6%
179 1
 
1.6%
285 1
 
1.6%
37 1
 
1.6%
Other values (45) 45
72.6%
ValueCountFrequency (%)
0 1
 
1.6%
1 2
 
3.2%
2 5
8.1%
3 2
 
3.2%
4 1
 
1.6%
5 1
 
1.6%
6 1
 
1.6%
8 1
 
1.6%
11 1
 
1.6%
12 1
 
1.6%
ValueCountFrequency (%)
33683 1
1.6%
7245 1
1.6%
2261 1
1.6%
2153 1
1.6%
1758 1
1.6%
1536 1
1.6%
1378 1
1.6%
1324 1
1.6%
1246 1
1.6%
1006 1
1.6%

일부해결
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
60 
1
 
2

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 60
96.8%
1 2
 
3.2%

Length

2023-12-11T08:39:33.265092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:33.375019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 60
96.8%
1 2
 
3.2%

법적불가
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
59 
1
 
3

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 59
95.2%
1 3
 
4.8%

Length

2023-12-11T08:39:33.466791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:33.554111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
95.2%
1 3
 
4.8%

기타불가
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
59 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
95.2%
1 2
 
3.2%
2 1
 
1.6%

Length

2023-12-11T08:39:33.648572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:33.741405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
95.2%
1 2
 
3.2%
2 1
 
1.6%

이첩
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
62 

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 62
100.0%

Length

2023-12-11T08:39:33.832609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:33.933935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
100.0%

이송
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
57 
1
 
2
11
 
1
3
 
1
8
 
1

Length

Max length2
Median length1
Mean length1.016129
Min length1

Unique

Unique3 ?
Unique (%)4.8%

Sample

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

Common Values

ValueCountFrequency (%)
0 57
91.9%
1 2
 
3.2%
11 1
 
1.6%
3 1
 
1.6%
8 1
 
1.6%

Length

2023-12-11T08:39:34.033594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:34.137661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 57
91.9%
1 2
 
3.2%
11 1
 
1.6%
3 1
 
1.6%
8 1
 
1.6%

취하
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2258065
Minimum0
Maximum15
Zeros38
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T08:39:34.237790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.9
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.8250597
Coefficient of variation (CV)2.304654
Kurtosis11.98272
Mean1.2258065
Median Absolute Deviation (MAD)0
Skewness3.341511
Sum76
Variance7.9809625
MonotonicityNot monotonic
2023-12-11T08:39:34.352452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 38
61.3%
1 16
25.8%
5 2
 
3.2%
4 2
 
3.2%
12 1
 
1.6%
15 1
 
1.6%
8 1
 
1.6%
7 1
 
1.6%
ValueCountFrequency (%)
0 38
61.3%
1 16
25.8%
4 2
 
3.2%
5 2
 
3.2%
7 1
 
1.6%
8 1
 
1.6%
12 1
 
1.6%
15 1
 
1.6%
ValueCountFrequency (%)
15 1
 
1.6%
12 1
 
1.6%
8 1
 
1.6%
7 1
 
1.6%
5 2
 
3.2%
4 2
 
3.2%
1 16
25.8%
0 38
61.3%

반려
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
52 
1
 
3
2
 
3
6
 
2
3
 
2

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 52
83.9%
1 3
 
4.8%
2 3
 
4.8%
6 2
 
3.2%
3 2
 
3.2%

Length

2023-12-11T08:39:34.472952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:34.578740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
83.9%
1 3
 
4.8%
2 3
 
4.8%
6 2
 
3.2%
3 2
 
3.2%

경유
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
62 

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 62
100.0%

Length

2023-12-11T08:39:34.684539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:34.771384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
100.0%

진달
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
62 

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 62
100.0%

Length

2023-12-11T08:39:34.862103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:34.961155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
100.0%

공람
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
62 

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 62
100.0%

Length

2023-12-11T08:39:35.084647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:35.181973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
100.0%

미수령
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
62 

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 62
100.0%

Length

2023-12-11T08:39:35.300472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:35.394012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
100.0%

착오
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
50 
1
8 
3
 
2
9
 
1
8
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.2%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
80.6%
1 8
 
12.9%
3 2
 
3.2%
9 1
 
1.6%
8 1
 
1.6%

Length

2023-12-11T08:39:35.489347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:35.600970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
80.6%
1 8
 
12.9%
3 2
 
3.2%
9 1
 
1.6%
8 1
 
1.6%

시스템장애
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.516129
Minimum0
Maximum70
Zeros52
Zeros (%)83.9%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T08:39:35.696550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum70
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11.356722
Coefficient of variation (CV)4.5135692
Kurtosis28.307833
Mean2.516129
Median Absolute Deviation (MAD)0
Skewness5.3247556
Sum156
Variance128.97515
MonotonicityNot monotonic
2023-12-11T08:39:35.797513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 52
83.9%
1 4
 
6.5%
6 2
 
3.2%
56 1
 
1.6%
2 1
 
1.6%
12 1
 
1.6%
70 1
 
1.6%
ValueCountFrequency (%)
0 52
83.9%
1 4
 
6.5%
2 1
 
1.6%
6 2
 
3.2%
12 1
 
1.6%
56 1
 
1.6%
70 1
 
1.6%
ValueCountFrequency (%)
70 1
 
1.6%
56 1
 
1.6%
12 1
 
1.6%
6 2
 
3.2%
2 1
 
1.6%
1 4
 
6.5%
0 52
83.9%

미처리
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
59 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 59
95.2%
1 2
 
3.2%
2 1
 
1.6%

Length

2023-12-11T08:39:35.917848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:36.047238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 59
95.2%
1 2
 
3.2%
2 1
 
1.6%

내부종결
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
61 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
98.4%
1 1
 
1.6%

Length

2023-12-11T08:39:36.155558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:36.266923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
98.4%
1 1
 
1.6%

오류제증명
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8387097
Minimum0
Maximum62
Zeros49
Zeros (%)79.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T08:39:36.358702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13.95
Maximum62
Range62
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.1368351
Coefficient of variation (CV)3.2186578
Kurtosis29.847183
Mean2.8387097
Median Absolute Deviation (MAD)0
Skewness5.0538645
Sum176
Variance83.481756
MonotonicityNot monotonic
2023-12-11T08:39:36.477660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 49
79.0%
1 2
 
3.2%
3 2
 
3.2%
28 1
 
1.6%
62 1
 
1.6%
5 1
 
1.6%
15 1
 
1.6%
14 1
 
1.6%
8 1
 
1.6%
12 1
 
1.6%
Other values (2) 2
 
3.2%
ValueCountFrequency (%)
0 49
79.0%
1 2
 
3.2%
3 2
 
3.2%
5 1
 
1.6%
8 1
 
1.6%
11 1
 
1.6%
12 1
 
1.6%
13 1
 
1.6%
14 1
 
1.6%
15 1
 
1.6%
ValueCountFrequency (%)
62 1
1.6%
28 1
1.6%
15 1
1.6%
14 1
1.6%
13 1
1.6%
12 1
1.6%
11 1
1.6%
8 1
1.6%
5 1
1.6%
3 2
3.2%

기타
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
62 

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 62
100.0%

Length

2023-12-11T08:39:36.622038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:36.734099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
100.0%

진행중
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.7903226
Minimum0
Maximum139
Zeros39
Zeros (%)62.9%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-11T08:39:36.832869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile13.9
Maximum139
Range139
Interquartile range (IQR)2

Descriptive statistics

Standard deviation24.758597
Coefficient of variation (CV)3.6461591
Kurtosis19.677166
Mean6.7903226
Median Absolute Deviation (MAD)0
Skewness4.477778
Sum421
Variance612.9881
MonotonicityNot monotonic
2023-12-11T08:39:36.970736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 39
62.9%
1 6
 
9.7%
3 3
 
4.8%
6 3
 
4.8%
2 3
 
4.8%
5 2
 
3.2%
14 1
 
1.6%
139 1
 
1.6%
113 1
 
1.6%
7 1
 
1.6%
Other values (2) 2
 
3.2%
ValueCountFrequency (%)
0 39
62.9%
1 6
 
9.7%
2 3
 
4.8%
3 3
 
4.8%
5 2
 
3.2%
6 3
 
4.8%
7 1
 
1.6%
12 1
 
1.6%
14 1
 
1.6%
87 1
 
1.6%
ValueCountFrequency (%)
139 1
 
1.6%
113 1
 
1.6%
87 1
 
1.6%
14 1
 
1.6%
12 1
 
1.6%
7 1
 
1.6%
6 3
4.8%
5 2
3.2%
3 3
4.8%
2 3
4.8%

진행중(지연)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
62 

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 62
100.0%

Length

2023-12-11T08:39:37.090468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:37.179466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 62
100.0%

완료(지연)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
58 
1
 
4

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 58
93.5%
1 4
 
6.5%

Length

2023-12-11T08:39:37.273677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:37.385607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
93.5%
1 4
 
6.5%

Sample

주관부서접수해결일부해결법적불가기타불가이첩이송취하반려경유진달공람미수령착오시스템장애미처리내부종결오류제증명기타진행중진행중(지연)완료(지연)
0감사담당관1100000000000000000000
1강서동77777500000000000100010000
2개발주택국1000000100000000000000
3개발주택국 건축과33754336830000012000000560000300
4개발주택국 공공시설과1100000000000000000000
5개발주택국 공동주택과23822800000510000100000301
6개발주택국 원스톱허가과4053750000015100000000001400
7개발주택국 지역재생과3200000100000000000000
8경제산업국 미래산업과393300000000000000000600
9경제산업국 세무과1009900000000000000000100
주관부서접수해결일부해결법적불가기타불가이첩이송취하반려경유진달공람미수령착오시스템장애미처리내부종결오류제증명기타진행중진행중(지연)완료(지연)
52차량등록사업소151200000000000000000300
53평산동17771758000000200000000110600
54하북면562547000000100000010130000
55행정지원국 토지정보과26626400000100000000000101
56행정지원국 행정과2200000000000000000000
57환경녹지국 공원과5410000000000000000000
58환경녹지국 기후환경과201900000100000000000000
59환경녹지국 산림과4300000100000000000000
60환경녹지국 수질관리과171700000000000000000000
61환경녹지국 자원순환과18418300000100000000000001