Overview

Dataset statistics

Number of variables11
Number of observations6269
Missing cells493
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory557.2 KiB
Average record size in memory91.0 B

Variable types

Numeric3
Categorical5
Text2
DateTime1

Dataset

Description인천광역시 공유재산 사용허가, 대부현황(재산종류, 재산구분, 회계구분, 소재지, 재산관리관, 지목, 면적, 계약일자)
Author인천광역시
URLhttps://www.data.go.kr/data/15045234/fileData.do

Alerts

재산종류 is highly overall correlated with 회계구분 and 2 other fieldsHigh correlation
재산구분 is highly overall correlated with 지목_공부 and 1 other fieldsHigh correlation
회계구분 is highly overall correlated with 재산종류High correlation
지목_공부 is highly overall correlated with 재산종류 and 2 other fieldsHigh correlation
지목_현황 is highly overall correlated with 재산종류 and 2 other fieldsHigh correlation
재산종류 is highly imbalanced (74.7%)Imbalance
회계구분 is highly imbalanced (70.2%)Imbalance
공부상면적 has 493 (7.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 17:58:24.111656
Analysis finished2024-03-14 17:58:29.122394
Duration5.01 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct6269
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3135
Minimum1
Maximum6269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2024-03-15T02:58:29.334916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile314.4
Q11568
median3135
Q34702
95-th percentile5955.6
Maximum6269
Range6268
Interquartile range (IQR)3134

Descriptive statistics

Standard deviation1809.8488
Coefficient of variation (CV)0.57730423
Kurtosis-1.2
Mean3135
Median Absolute Deviation (MAD)1567
Skewness0
Sum19653315
Variance3275552.5
MonotonicityStrictly increasing
2024-03-15T02:58:29.676304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4165 1
 
< 0.1%
4187 1
 
< 0.1%
4186 1
 
< 0.1%
4185 1
 
< 0.1%
4184 1
 
< 0.1%
4183 1
 
< 0.1%
4182 1
 
< 0.1%
4181 1
 
< 0.1%
4180 1
 
< 0.1%
Other values (6259) 6259
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6269 1
< 0.1%
6268 1
< 0.1%
6267 1
< 0.1%
6266 1
< 0.1%
6265 1
< 0.1%
6264 1
< 0.1%
6263 1
< 0.1%
6262 1
< 0.1%
6261 1
< 0.1%
6260 1
< 0.1%

재산종류
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.1 KiB
토지
5775 
건물
 
492
공작물
 
2

Length

Max length3
Median length2
Mean length2.000319
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
토지 5775
92.1%
건물 492
 
7.8%
공작물 2
 
< 0.1%

Length

2024-03-15T02:58:30.155280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:58:30.453706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토지 5775
92.1%
건물 492
 
7.8%
공작물 2
 
< 0.1%

재산구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.1 KiB
일반재산
4159 
행정재산
2110 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반재산 4159
66.3%
행정재산 2110
33.7%

Length

2024-03-15T02:58:30.820158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:58:31.137796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 4159
66.3%
행정재산 2110
33.7%

회계구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size49.1 KiB
일반회계
5205 
경제자유구역사업특별회계
 
332
상수도사업특별회계
 
208
특별회계
 
186
<NA>
 
164
Other values (8)
 
174

Length

Max length23
Median length4
Mean length4.7371192
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반회계 5205
83.0%
경제자유구역사업특별회계 332
 
5.3%
상수도사업특별회계 208
 
3.3%
특별회계 186
 
3.0%
<NA> 164
 
2.6%
도시교통사업특별회계 71
 
1.1%
도시개발특별회계 37
 
0.6%
도시철도사업특별회계 27
 
0.4%
하수도사업특별회계 23
 
0.4%
소방특별회계 10
 
0.2%
Other values (3) 6
 
0.1%

Length

2024-03-15T02:58:31.519226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반회계 5205
83.0%
경제자유구역사업특별회계 332
 
5.3%
상수도사업특별회계 208
 
3.3%
특별회계 186
 
3.0%
na 164
 
2.6%
도시교통사업특별회계 71
 
1.1%
도시개발특별회계 37
 
0.6%
도시철도사업특별회계 27
 
0.4%
하수도사업특별회계 23
 
0.4%
소방특별회계 10
 
0.2%
Other values (3) 6
 
0.1%

소재지
Text

Distinct1426
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size49.1 KiB
2024-03-15T02:58:33.148959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length20.067794
Min length16

Characters and Unicode

Total characters125805
Distinct characters151
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique548 ?
Unique (%)8.7%

Sample

1st row인천광역시 미추홀구 도화동 88-16
2nd row인천광역시 남동구 남촌동 193-2
3rd row인천광역시 남동구 장수동 644
4th row인천광역시 계양구 서운동 95-14
5th row인천광역시 계양구 서운동 105-3
ValueCountFrequency (%)
인천광역시 6242
24.6%
부평구 2505
 
9.9%
미추홀구 847
 
3.3%
산곡동 820
 
3.2%
부평동 797
 
3.1%
서구 728
 
2.9%
연수구 568
 
2.2%
남동구 550
 
2.2%
청천동 478
 
1.9%
동구 463
 
1.8%
Other values (1512) 11412
44.9%
2024-03-15T02:58:34.931172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25376
20.2%
동 7317
 
5.8%
천 6728
 
5.3%
구 6325
 
5.0%
시 6271
 
5.0%
인 6260
 
5.0%
광 6242
 
5.0%
역 6242
 
5.0%
- 5635
 
4.5%
1 5190
 
4.1%
Other values (141) 44219
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68725
54.6%
Decimal Number 26056
 
20.7%
Space Separator 25376
 
20.2%
Dash Punctuation 5635
 
4.5%
Other Punctuation 7
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7317
10.6%
천 6728
9.8%
구 6325
9.2%
시 6271
9.1%
인 6260
9.1%
광 6242
9.1%
역 6242
9.1%
부 3363
 
4.9%
평 3311
 
4.8%
산 1437
 
2.1%
Other values (126) 15229
22.2%
Decimal Number
ValueCountFrequency (%)
1 5190
19.9%
2 2889
11.1%
5 2721
10.4%
3 2674
10.3%
8 2668
10.2%
4 2617
10.0%
7 2317
8.9%
0 1735
 
6.7%
9 1671
 
6.4%
6 1574
 
6.0%
Space Separator
ValueCountFrequency (%)
25376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5635
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68725
54.6%
Common 57080
45.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7317
10.6%
천 6728
9.8%
구 6325
9.2%
시 6271
9.1%
인 6260
9.1%
광 6242
9.1%
역 6242
9.1%
부 3363
 
4.9%
평 3311
 
4.8%
산 1437
 
2.1%
Other values (126) 15229
22.2%
Common
ValueCountFrequency (%)
25376
44.5%
- 5635
 
9.9%
1 5190
 
9.1%
2 2889
 
5.1%
5 2721
 
4.8%
3 2674
 
4.7%
8 2668
 
4.7%
4 2617
 
4.6%
7 2317
 
4.1%
0 1735
 
3.0%
Other values (5) 3258
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68725
54.6%
ASCII 57080
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25376
44.5%
- 5635
 
9.9%
1 5190
 
9.1%
2 2889
 
5.1%
5 2721
 
4.8%
3 2674
 
4.7%
8 2668
 
4.7%
4 2617
 
4.6%
7 2317
 
4.1%
0 1735
 
3.0%
Other values (5) 3258
 
5.7%
Hangul
ValueCountFrequency (%)
동 7317
10.6%
천 6728
9.8%
구 6325
9.2%
시 6271
9.1%
인 6260
9.1%
광 6242
9.1%
역 6242
9.1%
부 3363
 
4.9%
평 3311
 
4.8%
산 1437
 
2.1%
Other values (126) 15229
22.2%

재산관리관
Text

Distinct92
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size49.1 KiB
2024-03-15T02:58:35.918337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length18.898548
Min length11

Characters and Unicode

Total characters118475
Distinct characters137
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

Unique16 ?
Unique (%)0.3%

Sample

1st row인천광역시 재정기획관 공공시설혁신담당관
2nd row인천광역시 재정기획관 공공시설혁신담당관
3rd row인천광역시 재정기획관 공공시설혁신담당관
4th row인천광역시 재정기획관 공공시설혁신담당관
5th row인천광역시 재정기획관 공공시설혁신담당관
ValueCountFrequency (%)
인천광역시 6269
32.8%
재정기획관 3239
16.9%
공공시설혁신담당관 2606
13.6%
교통국 1186
 
6.2%
도로과 1122
 
5.9%
재산관리담당관 617
 
3.2%
경제자유구역청 471
 
2.5%
기획조정본부 379
 
2.0%
자치행정국 344
 
1.8%
기획정책과 227
 
1.2%
Other values (106) 2653
13.9%
2024-03-15T02:58:37.460448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12844
 
10.8%
시 9266
 
7.8%
관 7706
 
6.5%
역 6740
 
5.7%
천 6353
 
5.4%
광 6322
 
5.3%
인 6318
 
5.3%
공 5253
 
4.4%
정 4352
 
3.7%
재 4044
 
3.4%
Other values (127) 49277
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105631
89.2%
Space Separator 12844
 
10.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9266
 
8.8%
관 7706
 
7.3%
역 6740
 
6.4%
천 6353
 
6.0%
광 6322
 
6.0%
인 6318
 
6.0%
공 5253
 
5.0%
정 4352
 
4.1%
재 4044
 
3.8%
획 4044
 
3.8%
Other values (126) 45233
42.8%
Space Separator
ValueCountFrequency (%)
12844
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105631
89.2%
Common 12844
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9266
 
8.8%
관 7706
 
7.3%
역 6740
 
6.4%
천 6353
 
6.0%
광 6322
 
6.0%
인 6318
 
6.0%
공 5253
 
5.0%
정 4352
 
4.1%
재 4044
 
3.8%
획 4044
 
3.8%
Other values (126) 45233
42.8%
Common
ValueCountFrequency (%)
12844
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105631
89.2%
ASCII 12844
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12844
100.0%
Hangul
ValueCountFrequency (%)
시 9266
 
8.8%
관 7706
 
7.3%
역 6740
 
6.4%
천 6353
 
6.0%
광 6322
 
6.0%
인 6318
 
6.0%
공 5253
 
5.0%
정 4352
 
4.1%
재 4044
 
3.8%
획 4044
 
3.8%
Other values (126) 45233
42.8%

지목_공부
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size49.1 KiB
대
2297 
도로
888 
잡종지
661 
전
630 
미등록
493 
Other values (19)
1300 

Length

Max length5
Median length1
Mean length1.7436593
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row대
2nd row답
3rd row전
4th row전
5th row전

Common Values

ValueCountFrequency (%)
대 2297
36.6%
도로 888
 
14.2%
잡종지 661
 
10.5%
전 630
 
10.0%
미등록 493
 
7.9%
답 420
 
6.7%
구거 225
 
3.6%
임야 189
 
3.0%
공장용지 124
 
2.0%
주차장 87
 
1.4%
Other values (14) 255
 
4.1%

Length

2024-03-15T02:58:37.880892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 2297
36.6%
도로 888
 
14.2%
잡종지 661
 
10.5%
전 630
 
10.0%
미등록 493
 
7.9%
답 420
 
6.7%
구거 225
 
3.6%
임야 189
 
3.0%
공장용지 124
 
2.0%
주차장 87
 
1.4%
Other values (14) 255
 
4.1%

지목_현황
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size49.1 KiB
대
2547 
잡종지
993 
도로
828 
미등록
742 
답
255 
Other values (18)
904 

Length

Max length5
Median length4
Mean length1.9020577
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row대
2nd row도로
3rd row전
4th row전
5th row전

Common Values

ValueCountFrequency (%)
대 2547
40.6%
잡종지 993
 
15.8%
도로 828
 
13.2%
미등록 742
 
11.8%
답 255
 
4.1%
전 189
 
3.0%
임야 185
 
3.0%
공장용지 141
 
2.2%
주차장 98
 
1.6%
수도용지 62
 
1.0%
Other values (13) 229
 
3.7%

Length

2024-03-15T02:58:38.380387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 2547
40.6%
잡종지 993
 
15.8%
도로 828
 
13.2%
미등록 742
 
11.8%
답 255
 
4.1%
전 189
 
3.0%
임야 185
 
3.0%
공장용지 141
 
2.2%
주차장 98
 
1.6%
수도용지 62
 
1.0%
Other values (13) 229
 
3.7%

공부상면적
Real number (ℝ)

MISSING 

Distinct1097
Distinct (%)19.0%
Missing493
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean5660.8293
Minimum1
Maximum693117.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2024-03-15T02:58:38.806582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.9
Q163.1
median245
Q3956.925
95-th percentile22761
Maximum693117.5
Range693116.5
Interquartile range (IQR)893.825

Descriptive statistics

Standard deviation29071.31
Coefficient of variation (CV)5.1355215
Kurtosis128.92124
Mean5660.8293
Median Absolute Deviation (MAD)201.9
Skewness9.7997319
Sum32696950
Variance8.4514109 × 108
MonotonicityNot monotonic
2024-03-15T02:58:39.297216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
299.0 209
 
3.3%
124.0 164
 
2.6%
259.0 63
 
1.0%
880.0 54
 
0.9%
24897.9 52
 
0.8%
234.0 52
 
0.8%
2623.1 50
 
0.8%
34.0 49
 
0.8%
300.0 47
 
0.7%
169.0 45
 
0.7%
Other values (1087) 4991
79.6%
(Missing) 493
 
7.9%
ValueCountFrequency (%)
1.0 6
 
0.1%
1.2 9
0.1%
1.8 3
 
< 0.1%
2.0 8
0.1%
2.7 12
0.2%
2.9 3
 
< 0.1%
3.0 16
0.3%
3.3 3
 
< 0.1%
3.4 3
 
< 0.1%
3.5 9
0.1%
ValueCountFrequency (%)
693117.5 1
 
< 0.1%
571881.0 1
 
< 0.1%
359126.8 1
 
< 0.1%
337597.0 2
 
< 0.1%
290608.6 1
 
< 0.1%
279947.0 4
 
0.1%
266030.9 12
0.2%
239230.4 19
0.3%
226764.9 6
 
0.1%
210647.0 2
 
< 0.1%

대부(허가)면적
Real number (ℝ)

Distinct1474
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean567.2236
Minimum0
Maximum81275
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size55.2 KiB
2024-03-15T02:58:39.820923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.67
Q113
median40.6
Q3127
95-th percentile2152
Maximum81275
Range81275
Interquartile range (IQR)114

Descriptive statistics

Standard deviation3209.2195
Coefficient of variation (CV)5.6577679
Kurtosis304.15152
Mean567.2236
Median Absolute Deviation (MAD)32.6
Skewness14.997163
Sum3555924.8
Variance10299090
MonotonicityNot monotonic
2024-03-15T02:58:40.156323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0 123
 
2.0%
10.0 117
 
1.9%
3.0 95
 
1.5%
11.0 95
 
1.5%
6.0 89
 
1.4%
14.0 79
 
1.3%
5.0 74
 
1.2%
13.0 67
 
1.1%
1.0 67
 
1.1%
15.0 66
 
1.1%
Other values (1464) 5397
86.1%
ValueCountFrequency (%)
0.0 5
0.1%
0.04 2
 
< 0.1%
0.06 1
 
< 0.1%
0.07 1
 
< 0.1%
0.08 6
0.1%
0.09 3
< 0.1%
0.1 1
 
< 0.1%
0.11 1
 
< 0.1%
0.12 6
0.1%
0.13 3
< 0.1%
ValueCountFrequency (%)
81275.0 4
0.1%
49535.0 1
 
< 0.1%
42468.69 1
 
< 0.1%
42403.1 1
 
< 0.1%
40717.0 1
 
< 0.1%
40637.5 2
< 0.1%
36617.2 1
 
< 0.1%
36508.7 1
 
< 0.1%
36205.0 1
 
< 0.1%
35886.4 1
 
< 0.1%

계약일자
Date

Distinct1417
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size49.1 KiB
Minimum1988-01-01 00:00:00
Maximum2024-01-17 00:00:00
2024-03-15T02:58:40.555587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:40.810077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-15T02:58:27.376339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:25.688351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:26.522273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:27.652806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:25.958402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:26.797851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:27.951511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:26.238401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T02:58:27.084172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T02:58:41.270216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번재산종류재산구분회계구분재산관리관지목_공부지목_현황공부상면적대부(허가)면적
연번1.0000.3790.4930.3560.6960.5420.4650.1040.134
재산종류0.3791.0000.2250.8060.9550.9150.7630.0000.142
재산구분0.4930.2251.0000.3520.9980.9420.8570.2380.082
회계구분0.3560.8060.3521.0000.9880.8000.6650.4590.191
재산관리관0.6960.9550.9980.9881.0000.9250.9190.9430.646
지목_공부0.5420.9150.9420.8000.9251.0000.9790.3430.378
지목_현황0.4650.7630.8570.6650.9190.9791.0000.3790.332
공부상면적0.1040.0000.2380.4590.9430.3430.3791.0000.736
대부(허가)면적0.1340.1420.0820.1910.6460.3780.3320.7361.000
2024-03-15T02:58:41.575800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
재산종류지목_공부지목_현황회계구분재산구분
재산종류1.0000.7040.5600.5300.368
지목_공부0.7041.0000.7730.3610.822
지목_현황0.5600.7731.0000.2900.787
회계구분0.5300.3610.2901.0000.273
재산구분0.3680.8220.7870.2731.000
2024-03-15T02:58:41.853137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번공부상면적대부(허가)면적재산종류재산구분회계구분지목_공부지목_현황
연번1.000-0.214-0.1240.2460.3790.1580.2310.191
공부상면적-0.2141.0000.3880.0000.1790.2400.1440.162
대부(허가)면적-0.1240.3881.0000.0900.0610.0820.1430.139
재산종류0.2460.0000.0901.0000.3680.5300.7040.560
재산구분0.3790.1790.0610.3681.0000.2730.8220.787
회계구분0.1580.2400.0820.5300.2731.0000.3610.290
지목_공부0.2310.1440.1430.7040.8220.3611.0000.773
지목_현황0.1910.1620.1390.5600.7870.2900.7731.000

Missing values

2024-03-15T02:58:28.354692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T02:58:28.877594image/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

연번재산종류재산구분회계구분소재지재산관리관지목_공부지목_현황공부상면적대부(허가)면적계약일자
01토지일반재산일반회계인천광역시 미추홀구 도화동 88-16인천광역시 재정기획관 공공시설혁신담당관대대20.520.52024-01-17
12토지일반재산일반회계인천광역시 남동구 남촌동 193-2인천광역시 재정기획관 공공시설혁신담당관답도로203.0203.02024-01-01
23토지일반재산일반회계인천광역시 남동구 장수동 644인천광역시 재정기획관 공공시설혁신담당관전전368.0242.02024-01-01
34토지일반재산일반회계인천광역시 계양구 서운동 95-14인천광역시 재정기획관 공공시설혁신담당관전전208.0208.02024-01-01
45토지일반재산일반회계인천광역시 계양구 서운동 105-3인천광역시 재정기획관 공공시설혁신담당관전전4803.04803.02024-01-01
56건물일반재산일반회계인천광역시 중구 신생동 2-42 외 2필지(2-43,2-44)인천광역시 재정기획관 공공시설혁신담당관미등록미등록<NA>905.82024-01-01
67토지일반재산일반회계인천광역시 계양구 서운동 96-1인천광역시 재정기획관 공공시설혁신담당관답답11348.011348.02024-01-01
78토지일반재산일반회계인천광역시 계양구 서운동 95-11인천광역시 재정기획관 공공시설혁신담당관답답36.036.02024-01-01
89토지일반재산일반회계인천광역시 계양구 서운동 95-6인천광역시 재정기획관 공공시설혁신담당관전전85.085.02024-01-01
910토지일반재산일반회계인천광역시 부평구 부평동 360-46인천광역시 재정기획관 공공시설혁신담당관대잡종지15.913.52024-01-01
연번재산종류재산구분회계구분소재지재산관리관지목_공부지목_현황공부상면적대부(허가)면적계약일자
62596260토지일반재산일반회계인천광역시 부평구 산곡동 55-7인천광역시 재정기획관 공공시설혁신담당관잡종지잡종지299.015.01992-09-01
62606261토지일반재산일반회계인천광역시 부평구 산곡동 55-7인천광역시 재정기획관 공공시설혁신담당관잡종지잡종지299.014.01992-09-01
62616262토지일반재산일반회계인천광역시 부평구 산곡동 124-15인천광역시 자치행정국 회계계약심사과대잡종지245.0119.01992-02-01
62626263토지행정재산도시교통사업특별회계인천광역시 부평구 부평동 417-5인천광역시 교통국 교통안전과주차장잡종지347.8324.91990-07-01
62636264토지일반재산일반회계인천광역시 부평구 부평동 65-148인천광역시 재정기획관 공공시설혁신담당관대대259.081.01988-01-01
62646265토지일반재산일반회계인천광역시 부평구 부평동 65-148인천광역시 재정기획관 공공시설혁신담당관대대259.081.01988-01-01
62656266토지일반재산일반회계인천광역시 부평구 부평동 65-148인천광역시 재정기획관 공공시설혁신담당관대대259.081.01988-01-01
62666267토지일반재산일반회계인천광역시 부평구 부평동 65-148인천광역시 재정기획관 공공시설혁신담당관대대259.081.01988-01-01
62676268토지일반재산일반회계인천광역시 부평구 부평동 65-148인천광역시 재정기획관 공공시설혁신담당관대대259.081.01988-01-01
62686269토지일반재산일반회계인천광역시 부평구 부평동 65-148인천광역시 재정기획관 공공시설혁신담당관대대259.081.01988-01-01