Overview

Dataset statistics

Number of variables12
Number of observations473
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.3 KiB
Average record size in memory100.3 B

Variable types

Numeric4
Categorical6
Text1
DateTime1

Dataset

Description전북특별자치도 국공유재산 현황(재산, 재산종류, 재산소재지,공부지목, 공부면적, 재산가격, 재산관리관, 위임관리관, 규모 등)
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055534/fileData.do

Alerts

재산 has constant value ""Constant
재산종류 has constant value ""Constant
재산관리관 has constant value ""Constant
순번 is highly overall correlated with 위임관리관High correlation
공부면적 is highly overall correlated with 재산가격(원) and 1 other fieldsHigh correlation
재산가격(원) is highly overall correlated with 공부면적 High correlation
대부면적 is highly overall correlated with 공부면적 High correlation
위임관리관 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
재산 소재지 has unique valuesUnique
재산가격(원) has 9 (1.9%) zerosZeros
대부면적 has 223 (47.1%) zerosZeros

Reproduction

Analysis started2024-03-14 08:51:28.929675
Analysis finished2024-03-14 08:51:33.489803
Duration4.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct473
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237
Minimum1
Maximum473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-03-14T17:51:33.679636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.6
Q1119
median237
Q3355
95-th percentile449.4
Maximum473
Range472
Interquartile range (IQR)236

Descriptive statistics

Standard deviation136.6876
Coefficient of variation (CV)0.57674093
Kurtosis-1.2
Mean237
Median Absolute Deviation (MAD)118
Skewness0
Sum112101
Variance18683.5
MonotonicityStrictly increasing
2024-03-14T17:51:34.104703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
312 1
 
0.2%
324 1
 
0.2%
323 1
 
0.2%
322 1
 
0.2%
321 1
 
0.2%
320 1
 
0.2%
319 1
 
0.2%
318 1
 
0.2%
317 1
 
0.2%
Other values (463) 463
97.9%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
473 1
0.2%
472 1
0.2%
471 1
0.2%
470 1
0.2%
469 1
0.2%
468 1
0.2%
467 1
0.2%
466 1
0.2%
465 1
0.2%
464 1
0.2%

재산
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
토지
473 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
토지 473
100.0%

Length

2024-03-14T17:51:34.500617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:51:34.779707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토지 473
100.0%

재산종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
일반재산
473 

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 473
100.0%

Length

2024-03-14T17:51:35.077453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:51:35.362106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반재산 473
100.0%

재산 소재지
Text

UNIQUE 

Distinct473
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
2024-03-14T17:51:36.341853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length22.082452
Min length17

Characters and Unicode

Total characters10445
Distinct characters171
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique473 ?
Unique (%)100.0%

Sample

1st row전라북도 고창군 고창읍 석교리 30-36
2nd row전라북도 고창군 고창읍 석교리 33
3rd row전라북도 고창군 고창읍 석교리 46
4th row전라북도 고창군 고창읍 성두리 394
5th row전라북도 고창군 고창읍 성두리 412-3
ValueCountFrequency (%)
전라북도 473
 
20.1%
고창군 72
 
3.1%
전주시 61
 
2.6%
정읍시 51
 
2.2%
완산구 50
 
2.1%
장수군 39
 
1.7%
남원시 38
 
1.6%
익산시 35
 
1.5%
진안군 34
 
1.4%
고부면 31
 
1.3%
Other values (734) 1466
62.4%
2024-03-14T17:51:37.863790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1967
18.8%
535
 
5.1%
484
 
4.6%
476
 
4.6%
474
 
4.5%
1 432
 
4.1%
385
 
3.7%
- 379
 
3.6%
323
 
3.1%
258
 
2.5%
Other values (161) 4732
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6102
58.4%
Decimal Number 1997
 
19.1%
Space Separator 1967
 
18.8%
Dash Punctuation 379
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
535
 
8.8%
484
 
7.9%
476
 
7.8%
474
 
7.8%
385
 
6.3%
323
 
5.3%
258
 
4.2%
236
 
3.9%
212
 
3.5%
131
 
2.1%
Other values (149) 2588
42.4%
Decimal Number
ValueCountFrequency (%)
1 432
21.6%
2 245
12.3%
3 224
11.2%
4 209
10.5%
9 197
9.9%
6 154
 
7.7%
5 136
 
6.8%
7 135
 
6.8%
8 134
 
6.7%
0 131
 
6.6%
Space Separator
ValueCountFrequency (%)
1967
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 379
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6102
58.4%
Common 4343
41.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
535
 
8.8%
484
 
7.9%
476
 
7.8%
474
 
7.8%
385
 
6.3%
323
 
5.3%
258
 
4.2%
236
 
3.9%
212
 
3.5%
131
 
2.1%
Other values (149) 2588
42.4%
Common
ValueCountFrequency (%)
1967
45.3%
1 432
 
9.9%
- 379
 
8.7%
2 245
 
5.6%
3 224
 
5.2%
4 209
 
4.8%
9 197
 
4.5%
6 154
 
3.5%
5 136
 
3.1%
7 135
 
3.1%
Other values (2) 265
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6102
58.4%
ASCII 4343
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1967
45.3%
1 432
 
9.9%
- 379
 
8.7%
2 245
 
5.6%
3 224
 
5.2%
4 209
 
4.8%
9 197
 
4.5%
6 154
 
3.5%
5 136
 
3.1%
7 135
 
3.1%
Other values (2) 265
 
6.1%
Hangul
ValueCountFrequency (%)
535
 
8.8%
484
 
7.9%
476
 
7.8%
474
 
7.8%
385
 
6.3%
323
 
5.3%
258
 
4.2%
236
 
3.9%
212
 
3.5%
131
 
2.1%
Other values (149) 2588
42.4%

공부지목
Categorical

Distinct16
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
168 
104 
59 
도로
51 
임야
45 
Other values (11)
46 

Length

Max length5
Median length1
Mean length1.3953488
Min length1

Unique

Unique5 ?
Unique (%)1.1%

Sample

1st row임야
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
168
35.5%
104
22.0%
59
 
12.5%
도로 51
 
10.8%
임야 45
 
9.5%
잡종지 30
 
6.3%
목장용지 3
 
0.6%
묘지 2
 
0.4%
공원 2
 
0.4%
과수원 2
 
0.4%
Other values (6) 7
 
1.5%

Length

2024-03-14T17:51:38.319528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
168
35.5%
104
22.0%
59
 
12.5%
도로 51
 
10.8%
임야 45
 
9.5%
잡종지 30
 
6.3%
목장용지 3
 
0.6%
묘지 2
 
0.4%
공원 2
 
0.4%
과수원 2
 
0.4%
Other values (6) 7
 
1.5%

공부면적
Real number (ℝ)

HIGH CORRELATION 

Distinct350
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean826.47992
Minimum2
Maximum22492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-03-14T17:51:38.598794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14.6
Q184
median227
Q3618
95-th percentile4014.4
Maximum22492
Range22490
Interquartile range (IQR)534

Descriptive statistics

Standard deviation1816.6362
Coefficient of variation (CV)2.1980404
Kurtosis48.393255
Mean826.47992
Median Absolute Deviation (MAD)176
Skewness5.5694036
Sum390925
Variance3300167.3
MonotonicityNot monotonic
2024-03-14T17:51:38.842033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 5
 
1.1%
3 4
 
0.8%
31 4
 
0.8%
210 4
 
0.8%
49 4
 
0.8%
9 4
 
0.8%
130 3
 
0.6%
198 3
 
0.6%
34 3
 
0.6%
6 3
 
0.6%
Other values (340) 436
92.2%
ValueCountFrequency (%)
2 1
 
0.2%
3 4
0.8%
4 1
 
0.2%
6 3
0.6%
7 3
0.6%
9 4
0.8%
10 2
0.4%
12 3
0.6%
13 2
0.4%
14 1
 
0.2%
ValueCountFrequency (%)
22492 1
0.2%
12032 1
0.2%
8769 1
0.2%
8572 1
0.2%
7161 1
0.2%
7100 1
0.2%
7049 1
0.2%
7001 1
0.2%
6936 1
0.2%
6897 1
0.2%

재산가격(원)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct463
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25940137
Minimum0
Maximum2.819439 × 109
Zeros9
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-03-14T17:51:39.079017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88926
Q1967500
median2619000
Q38851000
95-th percentile50706000
Maximum2.819439 × 109
Range2.819439 × 109
Interquartile range (IQR)7883500

Descriptive statistics

Standard deviation1.6556174 × 108
Coefficient of variation (CV)6.3824541
Kurtosis192.83023
Mean25940137
Median Absolute Deviation (MAD)2223000
Skewness12.954376
Sum1.2269685 × 1010
Variance2.7410689 × 1016
MonotonicityNot monotonic
2024-03-14T17:51:39.316861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
1.9%
1540000 2
 
0.4%
3695100 2
 
0.4%
1794390 1
 
0.2%
1493100 1
 
0.2%
7929450 1
 
0.2%
438000 1
 
0.2%
26158 1
 
0.2%
1743030 1
 
0.2%
9964950 1
 
0.2%
Other values (453) 453
95.8%
ValueCountFrequency (%)
0 9
1.9%
267 1
 
0.2%
9214 1
 
0.2%
11837 1
 
0.2%
13945 1
 
0.2%
15000 1
 
0.2%
15041 1
 
0.2%
16500 1
 
0.2%
26158 1
 
0.2%
55120 1
 
0.2%
ValueCountFrequency (%)
2819439000 1
0.2%
1564776000 1
0.2%
1044620000 1
0.2%
1001160000 1
0.2%
552568000 1
0.2%
322864000 1
0.2%
285862880 1
0.2%
220350000 1
0.2%
195126002 1
0.2%
157251200 1
0.2%

재산관리관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
전라북도 자치행정국 회계과
473 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전라북도 자치행정국 회계과
2nd row전라북도 자치행정국 회계과
3rd row전라북도 자치행정국 회계과
4th row전라북도 자치행정국 회계과
5th row전라북도 자치행정국 회계과

Common Values

ValueCountFrequency (%)
전라북도 자치행정국 회계과 473
100.0%

Length

2024-03-14T17:51:39.625238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:51:39.776870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 473
33.3%
자치행정국 473
33.3%
회계과 473
33.3%

위임관리관
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
전라북도 고창군 재무과
71 
전라북도 전주시 기획조정국 회계과
59 
전라북도 정읍시 문화행정복지국 회계과
50 
전라북도 남원시 총무국 재정과
38 
전라북도 장수군 재무과
38 
Other values (14)
217 

Length

Max length22
Median length20
Mean length15.281184
Min length12

Unique

Unique3 ?
Unique (%)0.6%

Sample

1st row전라북도 고창군 재무과
2nd row전라북도 고창군 재무과
3rd row전라북도 고창군 재무과
4th row전라북도 고창군 재무과
5th row전라북도 고창군 재무과

Common Values

ValueCountFrequency (%)
전라북도 고창군 재무과 71
15.0%
전라북도 전주시 기획조정국 회계과 59
12.5%
전라북도 정읍시 문화행정복지국 회계과 50
10.6%
전라북도 남원시 총무국 재정과 38
8.0%
전라북도 장수군 재무과 38
8.0%
전라북도 익산시 안전행정국 회계과 35
7.4%
전라북도 진안군 재무과 34
7.2%
전라북도 김제시 행정지원국 회계과 30
6.3%
전라북도 무주군 재무과 29
6.1%
전라북도 부안군 재무과 28
 
5.9%
Other values (9) 61
12.9%

Length

2024-03-14T17:51:39.944508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라북도 473
28.4%
재무과 214
12.9%
회계과 196
11.8%
고창군 72
 
4.3%
전주시 61
 
3.7%
기획조정국 61
 
3.7%
정읍시 51
 
3.1%
문화행정복지국 50
 
3.0%
장수군 39
 
2.3%
남원시 38
 
2.3%
Other values (20) 410
24.6%
Distinct280
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
Minimum1918-12-27 00:00:00
Maximum2019-10-07 00:00:00
2024-03-14T17:51:40.153835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:40.389505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대부면적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct226
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean540.91966
Minimum0
Maximum12032
Zeros223
Zeros (%)47.1%
Negative0
Negative (%)0.0%
Memory size4.3 KiB
2024-03-14T17:51:40.688094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20
Q3340
95-th percentile3264
Maximum12032
Range12032
Interquartile range (IQR)340

Descriptive statistics

Standard deviation1369.4898
Coefficient of variation (CV)2.5317803
Kurtosis19.397906
Mean540.91966
Median Absolute Deviation (MAD)20
Skewness4.0405469
Sum255855
Variance1875502.2
MonotonicityNot monotonic
2024-03-14T17:51:40.987957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 223
47.1%
210 4
 
0.8%
130 3
 
0.6%
216 3
 
0.6%
49 2
 
0.4%
113 2
 
0.4%
30 2
 
0.4%
32 2
 
0.4%
337 2
 
0.4%
10 2
 
0.4%
Other values (216) 228
48.2%
ValueCountFrequency (%)
0 223
47.1%
3 1
 
0.2%
7 2
 
0.4%
8 1
 
0.2%
9 2
 
0.4%
10 2
 
0.4%
13 1
 
0.2%
14 1
 
0.2%
17 2
 
0.4%
18 1
 
0.2%
ValueCountFrequency (%)
12032 1
0.2%
7161 1
0.2%
7100 1
0.2%
7049 1
0.2%
7001 1
0.2%
6936 1
0.2%
6897 1
0.2%
6865 1
0.2%
6536 1
0.2%
6465 1
0.2%

대부목적
Categorical

Distinct7
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.8 KiB
<NA>
223 
경작
204 
기타
23 
주거
 
18
기타, 경작(2명)
 
2
Other values (2)
 
3

Length

Max length10
Median length2
Mean length2.9894292
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row경작
2nd row경작
3rd row경작
4th row<NA>
5th row경작

Common Values

ValueCountFrequency (%)
<NA> 223
47.1%
경작 204
43.1%
기타 23
 
4.9%
주거 18
 
3.8%
기타, 경작(2명) 2
 
0.4%
공공용 2
 
0.4%
주거, 경작 1
 
0.2%

Length

2024-03-14T17:51:41.392544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:51:41.744709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 223
46.8%
경작 205
43.1%
기타 25
 
5.3%
주거 19
 
4.0%
경작(2명 2
 
0.4%
공공용 2
 
0.4%

Interactions

2024-03-14T17:51:31.789542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:29.569205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:30.355850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:30.980966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:32.033534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:29.793065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:30.494939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:31.123173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:32.278358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:29.931383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:30.634704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:31.274118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:32.538140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:30.134452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:30.828594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:51:31.529565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:51:41.996760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번공부지목공부면적재산가격(원)위임관리관대부면적대부목적
순번1.0000.5570.3700.1130.9730.3900.465
공부지목0.5571.0000.6200.7140.5650.6040.470
공부면적0.3700.6201.0000.7020.2760.8620.000
재산가격(원)0.1130.7140.7021.0000.0000.3250.219
위임관리관0.9730.5650.2760.0001.0000.3190.557
대부면적0.3900.6040.8620.3250.3191.0000.000
대부목적0.4650.4700.0000.2190.5570.0001.000
2024-03-14T17:51:42.278581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위임관리관공부지목대부목적
위임관리관1.0000.2130.294
공부지목0.2131.0000.260
대부목적0.2940.2601.000
2024-03-14T17:51:42.533456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번공부면적재산가격(원)대부면적공부지목위임관리관대부목적
순번1.000-0.208-0.079-0.1910.2540.8460.264
공부면적-0.2081.0000.6830.5590.3520.1290.000
재산가격(원)-0.0790.6831.0000.3560.4590.0000.142
대부면적-0.1910.5590.3561.0000.3260.1450.000
공부지목0.2540.3520.4590.3261.0000.2130.260
위임관리관0.8460.1290.0000.1450.2131.0000.294
대부목적0.2640.0000.1420.0000.2600.2941.000

Missing values

2024-03-14T17:51:32.822770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:51:33.109746image/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

순번재산재산종류재산 소재지공부지목공부면적재산가격(원)재산관리관위임관리관취득일자대부면적대부목적
01토지일반재산전라북도 고창군 고창읍 석교리 30-36임야1341384427전라북도 자치행정국 회계과전라북도 고창군 재무과2016-05-19134경작
12토지일반재산전라북도 고창군 고창읍 석교리 3338211969500전라북도 자치행정국 회계과전라북도 고창군 재무과2009-06-29382경작
23토지일반재산전라북도 고창군 고창읍 석교리 461410전라북도 자치행정국 회계과전라북도 고창군 재무과2001-01-31141경작
34토지일반재산전라북도 고창군 고창읍 성두리 3942993004950전라북도 자치행정국 회계과전라북도 고창군 재무과2001-06-010<NA>
45토지일반재산전라북도 고창군 고창읍 성두리 412-3126465096000전라북도 자치행정국 회계과전라북도 고창군 재무과2002-02-151264경작
56토지일반재산전라북도 고창군 고창읍 성두리 433493472550전라북도 자치행정국 회계과전라북도 고창군 재무과2001-06-01349경작
67토지일반재산전라북도 고창군 고창읍 월곡리 4195978178900전라북도 자치행정국 회계과전라북도 고창군 재무과2001-06-010<NA>
78토지일반재산전라북도 고창군 고창읍 율계리 43419543040450전라북도 자치행정국 회계과전라북도 고창군 재무과2009-06-051954경작
89토지일반재산전라북도 고창군 고창읍 율계리 4426990전라북도 자치행정국 회계과전라북도 고창군 재무과2001-06-01699경작
910토지일반재산전라북도 고창군 고창읍 율계리 70-15967320전라북도 자치행정국 회계과전라북도 고창군 재무과2001-07-119경작
순번재산재산종류재산 소재지공부지목공부면적재산가격(원)재산관리관위임관리관취득일자대부면적대부목적
463464토지일반재산전라북도 진안군 성수면 용포리 2311681125600전라북도 자치행정국 회계과전라북도 진안군 재무과1998-12-230<NA>
464465토지일반재산전라북도 진안군 성수면 용포리 238-1455335500전라북도 자치행정국 회계과전라북도 진안군 재무과1998-12-230<NA>
465466토지일반재산전라북도 진안군 성수면 용포리 238-840230000전라북도 자치행정국 회계과전라북도 진안군 재무과1998-12-2340경작
466467토지일반재산전라북도 진안군 정천면 월평리 914-241231783500전라북도 자치행정국 회계과전라북도 진안군 재무과2003-01-280<NA>
467468토지일반재산전라북도 진안군 정천면 월평리 914-272957296000전라북도 자치행정국 회계과전라북도 진안군 재무과1999-01-120<NA>
468469토지일반재산전라북도 진안군 진안읍 연장리 1192-23625430000전라북도 자치행정국 회계과전라북도 진안군 재무과2002-08-27362기타
469470토지일반재산전라북도 진안군 진안읍 연장리 12482031969100전라북도 자치행정국 회계과전라북도 진안군 재무과2001-01-080<NA>
470471토지일반재산전라북도 진안군 진안읍 연장리 1555-12832787550전라북도 자치행정국 회계과전라북도 진안군 재무과2001-01-170<NA>
471472토지일반재산전라북도 진안군 진안읍 연장리 1591-278756600전라북도 자치행정국 회계과전라북도 진안군 재무과2002-02-280<NA>
472473토지일반재산전라북도 진안군 진안읍 연장리 16002462386200전라북도 자치행정국 회계과전라북도 진안군 재무과2001-02-130<NA>