Overview

Dataset statistics

Number of variables11
Number of observations4167
Missing cells0
Missing cells (%)0.0%
Duplicate rows562
Duplicate rows (%)13.5%
Total size in memory390.8 KiB
Average record size in memory96.0 B

Variable types

Categorical4
Text2
Numeric5

Dataset

Description전국 광역시도별 건축허가동의건수,사용승인교부건수,시공신고건수,감리결과보고서제출대상건수,감리대상완공필증건수에 대한 2021년 민원집계에 대한 데이터
Author소방청
URLhttps://www.data.go.kr/data/15123892/fileData.do

Alerts

기준년월 has constant value ""Constant
시공신고건수 has constant value ""Constant
시정명령건수 has constant value ""Constant
Dataset has 562 (13.5%) duplicate rowsDuplicates
사용승인교부건수 is highly overall correlated with 감리결과보고서제출대상건수 and 1 other fieldsHigh correlation
감리결과보고서제출대상건수 is highly overall correlated with 사용승인교부건수 and 1 other fieldsHigh correlation
감리대상완공필증건수 is highly overall correlated with 사용승인교부건수 and 1 other fieldsHigh correlation
건축허가동의건수 has 1796 (43.1%) zerosZeros
사용승인교부건수 has 1246 (29.9%) zerosZeros
감리결과보고서제출대상건수 has 2319 (55.7%) zerosZeros
감리대상완공필증건수 has 2361 (56.7%) zerosZeros
소방서확인완공필증교부건수 has 2158 (51.8%) zerosZeros

Reproduction

Analysis started2023-12-12 15:02:08.794863
Analysis finished2023-12-12 15:02:12.002351
Duration3.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
2021
4167 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 4167
100.0%

Length

2023-12-13T00:02:12.090210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:02:12.199500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 4167
100.0%

시도코드
Categorical

Distinct13
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
경기
1441 
경북
612 
서울
452 
강원
338 
경남
253 
Other values (8)
1071 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기 1441
34.6%
경북 612
14.7%
서울 452
 
10.8%
강원 338
 
8.1%
경남 253
 
6.1%
전남 240
 
5.8%
대전 202
 
4.8%
울산 191
 
4.6%
충북 158
 
3.8%
대구 156
 
3.7%
Other values (3) 124
 
3.0%

Length

2023-12-13T00:02:12.301920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 1441
34.6%
경북 612
14.7%
서울 452
 
10.8%
강원 338
 
8.1%
경남 253
 
6.1%
전남 240
 
5.8%
대전 202
 
4.8%
울산 191
 
4.6%
충북 158
 
3.8%
대구 156
 
3.7%
Other values (3) 124
 
3.0%

관할서ID
Text

Distinct141
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
2023-12-13T00:02:12.602641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1394288
Min length5

Characters and Unicode

Total characters21416
Distinct characters117
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

Unique7 ?
Unique (%)0.2%

Sample

1st row강릉소방서
2nd row고성소방서
3rd row삼척소방서
4th row속초소방서
5th row속초소방서
ValueCountFrequency (%)
용인소방서 142
 
3.4%
서부소방서 109
 
2.6%
남양주소방서 107
 
2.6%
화성소방서 89
 
2.1%
김포소방서 85
 
2.0%
청주동부소방서 78
 
1.9%
동부소방서 76
 
1.8%
안산소방서 73
 
1.8%
고양소방서 72
 
1.7%
동래소방서 66
 
1.6%
Other values (131) 3270
78.5%
2023-12-13T00:02:13.117493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
서 4364
20.4%
소 4167
19.5%
방 4167
19.5%
부 612
 
2.9%
양 486
 
2.3%
주 465
 
2.2%
천 454
 
2.1%
성 453
 
2.1%
동 398
 
1.9%
남 357
 
1.7%
Other values (107) 5493
25.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21416
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 4364
20.4%
소 4167
19.5%
방 4167
19.5%
부 612
 
2.9%
양 486
 
2.3%
주 465
 
2.2%
천 454
 
2.1%
성 453
 
2.1%
동 398
 
1.9%
남 357
 
1.7%
Other values (107) 5493
25.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21416
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 4364
20.4%
소 4167
19.5%
방 4167
19.5%
부 612
 
2.9%
양 486
 
2.3%
주 465
 
2.2%
천 454
 
2.1%
성 453
 
2.1%
동 398
 
1.9%
남 357
 
1.7%
Other values (107) 5493
25.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21416
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
서 4364
20.4%
소 4167
19.5%
방 4167
19.5%
부 612
 
2.9%
양 486
 
2.3%
주 465
 
2.2%
천 454
 
2.1%
성 453
 
2.1%
동 398
 
1.9%
남 357
 
1.7%
Other values (107) 5493
25.6%

관할센터ID
Text

Distinct561
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
2023-12-13T00:02:13.391739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length7.6709863
Min length3

Characters and Unicode

Total characters31965
Distinct characters245
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)2.5%

Sample

1st row예방안전과
2nd row동광119안전센터
3rd row근덕119안전센터
4th row방호구조과
5th row설악119안전센터
ValueCountFrequency (%)
예방안전과 727
 
17.4%
재난예방과 302
 
7.2%
방호구조과 145
 
3.5%
현장대응단 102
 
2.4%
중앙119안전센터 50
 
1.2%
예방과 44
 
1.1%
재난안전과 29
 
0.7%
화전119안전센터 20
 
0.5%
공단119안전센터 18
 
0.4%
봉화119안전센터 17
 
0.4%
Other values (551) 2719
65.2%
2023-12-13T00:02:13.803616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5576
17.4%
전 3554
11.1%
안 3547
11.1%
9 2788
 
8.7%
센 2720
 
8.5%
터 2720
 
8.5%
과 1285
 
4.0%
방 1252
 
3.9%
예 1085
 
3.4%
난 354
 
1.1%
Other values (235) 7084
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23591
73.8%
Decimal Number 8364
 
26.2%
Space Separator 6
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 3554
15.1%
안 3547
15.0%
센 2720
11.5%
터 2720
11.5%
과 1285
 
5.4%
방 1252
 
5.3%
예 1085
 
4.6%
난 354
 
1.5%
재 348
 
1.5%
대 256
 
1.1%
Other values (230) 6470
27.4%
Decimal Number
ValueCountFrequency (%)
1 5576
66.7%
9 2788
33.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23591
73.8%
Common 8374
 
26.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 3554
15.1%
안 3547
15.0%
센 2720
11.5%
터 2720
11.5%
과 1285
 
5.4%
방 1252
 
5.3%
예 1085
 
4.6%
난 354
 
1.5%
재 348
 
1.5%
대 256
 
1.1%
Other values (230) 6470
27.4%
Common
ValueCountFrequency (%)
1 5576
66.6%
9 2788
33.3%
6
 
0.1%
) 2
 
< 0.1%
( 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23591
73.8%
ASCII 8374
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5576
66.6%
9 2788
33.3%
6
 
0.1%
) 2
 
< 0.1%
( 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
전 3554
15.1%
안 3547
15.0%
센 2720
11.5%
터 2720
11.5%
과 1285
 
5.4%
방 1252
 
5.3%
예 1085
 
4.6%
난 354
 
1.5%
재 348
 
1.5%
대 256
 
1.1%
Other values (230) 6470
27.4%

건축허가동의건수
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2968563
Minimum0
Maximum327
Zeros1796
Zeros (%)43.1%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-13T00:02:13.979366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile14
Maximum327
Range327
Interquartile range (IQR)2

Descriptive statistics

Standard deviation11.817359
Coefficient of variation (CV)3.5844326
Kurtosis223.88693
Mean3.2968563
Median Absolute Deviation (MAD)1
Skewness11.93886
Sum13738
Variance139.64997
MonotonicityNot monotonic
2023-12-13T00:02:14.136058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1796
43.1%
1 1070
25.7%
2 404
 
9.7%
3 216
 
5.2%
4 136
 
3.3%
5 80
 
1.9%
6 55
 
1.3%
8 40
 
1.0%
7 40
 
1.0%
9 29
 
0.7%
Other values (70) 301
 
7.2%
ValueCountFrequency (%)
0 1796
43.1%
1 1070
25.7%
2 404
 
9.7%
3 216
 
5.2%
4 136
 
3.3%
5 80
 
1.9%
6 55
 
1.3%
7 40
 
1.0%
8 40
 
1.0%
9 29
 
0.7%
ValueCountFrequency (%)
327 1
< 0.1%
248 1
< 0.1%
194 1
< 0.1%
150 1
< 0.1%
138 1
< 0.1%
113 1
< 0.1%
111 1
< 0.1%
110 1
< 0.1%
108 1
< 0.1%
107 1
< 0.1%

사용승인교부건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct60
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.963043
Minimum0
Maximum295
Zeros1246
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-13T00:02:14.291289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile11
Maximum295
Range295
Interquartile range (IQR)2

Descriptive statistics

Standard deviation9.1245227
Coefficient of variation (CV)3.0794433
Kurtosis373.19232
Mean2.963043
Median Absolute Deviation (MAD)1
Skewness15.470591
Sum12347
Variance83.256915
MonotonicityNot monotonic
2023-12-13T00:02:14.464857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1330
31.9%
0 1246
29.9%
2 597
14.3%
3 240
 
5.8%
4 157
 
3.8%
5 123
 
3.0%
6 85
 
2.0%
7 62
 
1.5%
8 43
 
1.0%
10 32
 
0.8%
Other values (50) 252
 
6.0%
ValueCountFrequency (%)
0 1246
29.9%
1 1330
31.9%
2 597
14.3%
3 240
 
5.8%
4 157
 
3.8%
5 123
 
3.0%
6 85
 
2.0%
7 62
 
1.5%
8 43
 
1.0%
9 30
 
0.7%
ValueCountFrequency (%)
295 1
< 0.1%
207 1
< 0.1%
182 1
< 0.1%
132 1
< 0.1%
110 1
< 0.1%
105 1
< 0.1%
91 1
< 0.1%
80 1
< 0.1%
75 1
< 0.1%
74 1
< 0.1%

시공신고건수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
0
4167 

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 4167
100.0%

Length

2023-12-13T00:02:14.928698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:02:15.028299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4167
100.0%

감리결과보고서제출대상건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct42
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3438925
Minimum0
Maximum88
Zeros2319
Zeros (%)55.7%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-13T00:02:15.149161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum88
Range88
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.0880903
Coefficient of variation (CV)3.0419772
Kurtosis151.90779
Mean1.3438925
Median Absolute Deviation (MAD)0
Skewness10.073716
Sum5600
Variance16.712482
MonotonicityNot monotonic
2023-12-13T00:02:15.302969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 2319
55.7%
1 1032
24.8%
2 328
 
7.9%
3 129
 
3.1%
4 94
 
2.3%
5 61
 
1.5%
6 36
 
0.9%
7 26
 
0.6%
8 22
 
0.5%
10 17
 
0.4%
Other values (32) 103
 
2.5%
ValueCountFrequency (%)
0 2319
55.7%
1 1032
24.8%
2 328
 
7.9%
3 129
 
3.1%
4 94
 
2.3%
5 61
 
1.5%
6 36
 
0.9%
7 26
 
0.6%
8 22
 
0.5%
9 11
 
0.3%
ValueCountFrequency (%)
88 1
< 0.1%
83 1
< 0.1%
76 1
< 0.1%
65 1
< 0.1%
51 1
< 0.1%
45 1
< 0.1%
43 1
< 0.1%
41 1
< 0.1%
38 2
< 0.1%
35 1
< 0.1%

감리대상완공필증건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct42
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2949364
Minimum0
Maximum87
Zeros2361
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-13T00:02:15.429928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum87
Range87
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.0158867
Coefficient of variation (CV)3.1012231
Kurtosis160.3302
Mean1.2949364
Median Absolute Deviation (MAD)0
Skewness10.394036
Sum5396
Variance16.127346
MonotonicityNot monotonic
2023-12-13T00:02:15.564885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 2361
56.7%
1 1016
24.4%
2 318
 
7.6%
3 128
 
3.1%
4 90
 
2.2%
5 61
 
1.5%
6 34
 
0.8%
7 26
 
0.6%
8 19
 
0.5%
10 17
 
0.4%
Other values (32) 97
 
2.3%
ValueCountFrequency (%)
0 2361
56.7%
1 1016
24.4%
2 318
 
7.6%
3 128
 
3.1%
4 90
 
2.2%
5 61
 
1.5%
6 34
 
0.8%
7 26
 
0.6%
8 19
 
0.5%
9 10
 
0.2%
ValueCountFrequency (%)
87 1
< 0.1%
83 1
< 0.1%
76 1
< 0.1%
65 1
< 0.1%
51 1
< 0.1%
45 1
< 0.1%
43 1
< 0.1%
41 1
< 0.1%
38 2
< 0.1%
35 1
< 0.1%

소방서확인완공필증교부건수
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8958483
Minimum0
Maximum232
Zeros2158
Zeros (%)51.8%
Negative0
Negative (%)0.0%
Memory size36.8 KiB
2023-12-13T00:02:15.709684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum232
Range232
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.5394115
Coefficient of variation (CV)3.976801
Kurtosis337.68712
Mean1.8958483
Median Absolute Deviation (MAD)0
Skewness15.355707
Sum7900
Variance56.842726
MonotonicityNot monotonic
2023-12-13T00:02:15.860076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2158
51.8%
1 1030
24.7%
2 366
 
8.8%
3 166
 
4.0%
4 95
 
2.3%
5 73
 
1.8%
6 50
 
1.2%
9 32
 
0.8%
8 25
 
0.6%
10 21
 
0.5%
Other values (44) 151
 
3.6%
ValueCountFrequency (%)
0 2158
51.8%
1 1030
24.7%
2 366
 
8.8%
3 166
 
4.0%
4 95
 
2.3%
5 73
 
1.8%
6 50
 
1.2%
7 18
 
0.4%
8 25
 
0.6%
9 32
 
0.8%
ValueCountFrequency (%)
232 1
< 0.1%
169 1
< 0.1%
129 1
< 0.1%
119 1
< 0.1%
105 1
< 0.1%
104 1
< 0.1%
103 1
< 0.1%
93 1
< 0.1%
81 1
< 0.1%
71 1
< 0.1%

시정명령건수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.7 KiB
0
4167 

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 4167
100.0%

Length

2023-12-13T00:02:15.997395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:02:16.108135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4167
100.0%

Interactions

2023-12-13T00:02:11.179617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:09.413689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:09.856321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:10.311236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:10.768374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:11.267925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:09.507236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:09.952380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:10.399558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:10.856886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:11.364311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:09.595045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:10.057742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:10.513141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:10.951433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:11.454073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:09.684559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:10.144199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:10.591238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:11.032396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:11.566672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:09.766973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:10.227944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:10.670518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:11.103204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:02:16.210381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도코드건축허가동의건수사용승인교부건수감리결과보고서제출대상건수감리대상완공필증건수소방서확인완공필증교부건수
시도코드1.0000.0000.0000.0490.0440.000
건축허가동의건수0.0001.0000.9070.7600.7640.840
사용승인교부건수0.0000.9071.0000.8380.8380.955
감리결과보고서제출대상건수0.0490.7600.8381.0001.0000.726
감리대상완공필증건수0.0440.7640.8381.0001.0000.712
소방서확인완공필증교부건수0.0000.8400.9550.7260.7121.000
2023-12-13T00:02:16.330932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축허가동의건수사용승인교부건수감리결과보고서제출대상건수감리대상완공필증건수소방서확인완공필증교부건수시도코드
건축허가동의건수1.0000.0610.2740.2910.1790.000
사용승인교부건수0.0611.0000.5010.5030.4920.000
감리결과보고서제출대상건수0.2740.5011.0000.9780.2650.021
감리대상완공필증건수0.2910.5030.9781.0000.2330.019
소방서확인완공필증교부건수0.1790.4920.2650.2331.0000.000
시도코드0.0000.0000.0210.0190.0001.000

Missing values

2023-12-13T00:02:11.716934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:02:11.920595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

기준년월시도코드관할서ID관할센터ID건축허가동의건수사용승인교부건수시공신고건수감리결과보고서제출대상건수감리대상완공필증건수소방서확인완공필증교부건수시정명령건수
02021강원강릉소방서예방안전과9202200
12021강원고성소방서동광119안전센터0000010
22021강원삼척소방서근덕119안전센터0403310
32021강원속초소방서방호구조과0503320
42021강원속초소방서설악119안전센터2200020
52021강원고성소방서간성119안전센터1300030
62021강원양양소방서강현119안전센터1100010
72021강원횡성소방서방호구조과15705520
82021강원고성소방서동광119안전센터0000010
92021강원양양소방서방호구조과291204480
기준년월시도코드관할서ID관할센터ID건축허가동의건수사용승인교부건수시공신고건수감리결과보고서제출대상건수감리대상완공필증건수소방서확인완공필증교부건수시정명령건수
41572021충북청주동부소방서내수119안전센터3317033150
41582021충북청주동부소방서내수119안전센터1000000
41592021충북청주동부소방서오창119안전센터4000000
41602021충북청주동부소방서오창119안전센터1000000
41612021충북단양소방서매포119안전센터1000000
41622021충북청주동부소방서영운119안전센터1000000
41632021충북청주동부소방서내수119안전센터1000000
41642021충북청주동부소방서영운119안전센터1000000
41652021충북단양소방서예방안전과1000000
41662021충북괴산소방서예방안전과1000000

Duplicate rows

Most frequently occurring

기준년월시도코드관할서ID관할센터ID건축허가동의건수사용승인교부건수시공신고건수감리결과보고서제출대상건수감리대상완공필증건수소방서확인완공필증교부건수시정명령건수# duplicates
112021강원삼척소방서봉황119안전센터01011006
702021경기광주소방서재난예방과10000006
1832021경기용인소방서포곡119안전센터10000006
2152021경기화성소방서장안119안전센터01000106
2512021경남함안소방서가야119안전센터10000006
3602021대전동부소방서삼성119안전센터01011006
212021강원영월소방서방호구조과10000005
612021경기고양소방서화전119안전센터10000005
1072021경기분당소방서재난예방과00011005
1622021경기용인소방서구갈119안전센터10000005