Overview

Dataset statistics

Number of variables10
Number of observations288
Missing cells1019
Missing cells (%)35.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.3 KiB
Average record size in memory86.5 B

Variable types

Numeric6
Text2
DateTime2

Dataset

Description인천광역시 미추홀구 문학동 이행보증보험증권관리대장에 대한 데이터로 연번, 지번주소, 증권번호, 증권발급일,일년치금액, 이년치금액, 십년치금액, 수령일, 좌표값을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15072191&srcSe=7661IVAWM27C61E190

Alerts

2년치 금액 is highly overall correlated with 10년치 금액 and 2 other fieldsHigh correlation
10년치 금액 is highly overall correlated with 2년치 금액High correlation
위도 is highly overall correlated with 2년치 금액High correlation
경도 is highly overall correlated with 2년치 금액High correlation
증권번호 has 3 (1.0%) missing valuesMissing
증권발급일 has 9 (3.1%) missing valuesMissing
1년치 금액 has 278 (96.5%) missing valuesMissing
2년치 금액 has 239 (83.0%) missing valuesMissing
10년치 금액 has 237 (82.3%) missing valuesMissing
수령일 has 157 (54.5%) missing valuesMissing
위도 has 48 (16.7%) missing valuesMissing
경도 has 48 (16.7%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:46:18.781798
Analysis finished2024-01-28 06:46:21.712185
Duration2.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct288
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.5
Minimum1
Maximum288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-01-28T15:46:21.765235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.35
Q172.75
median144.5
Q3216.25
95-th percentile273.65
Maximum288
Range287
Interquartile range (IQR)143.5

Descriptive statistics

Standard deviation83.282651
Coefficient of variation (CV)0.57635053
Kurtosis-1.2
Mean144.5
Median Absolute Deviation (MAD)72
Skewness0
Sum41616
Variance6936
MonotonicityStrictly increasing
2024-01-28T15:46:22.074240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
146 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
192 1
 
0.3%
191 1
 
0.3%
Other values (278) 278
96.5%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%
281 1
0.3%
280 1
0.3%
279 1
0.3%

지번주소
Text

Distinct286
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-01-28T15:46:22.224843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length58
Mean length24.739583
Min length17

Characters and Unicode

Total characters7125
Distinct characters65
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique284 ?
Unique (%)98.6%

Sample

1st row인천광역시 미추홀구 문학동 10-2LT
2nd row인천광역시 미추홀구 문학동 11B 4,5LT
3rd row인천광역시 미추홀구 문학동 12-2-2
4th row인천광역시 미추홀구 문학동 12-2-3
5th row인천광역시 미추홀구 문학동 12-2-4
ValueCountFrequency (%)
미추홀구 291
22.8%
인천광역시 288
22.6%
문학동 288
22.6%
문학도시개발구역 38
 
3.0%
9블록 5
 
0.4%
신축공사(8세대 5
 
0.4%
공동주택 4
 
0.3%
3로트 3
 
0.2%
다세대주택 3
 
0.2%
12블록 3
 
0.2%
Other values (322) 346
27.2%
2024-01-28T15:46:22.485506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
986
 
13.8%
시 338
 
4.7%
구 337
 
4.7%
문 337
 
4.7%
학 337
 
4.7%
역 334
 
4.7%
동 307
 
4.3%
3 307
 
4.3%
미 291
 
4.1%
추 291
 
4.1%
Other values (55) 3260
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4370
61.3%
Decimal Number 1316
 
18.5%
Space Separator 986
 
13.8%
Dash Punctuation 254
 
3.6%
Open Punctuation 69
 
1.0%
Close Punctuation 66
 
0.9%
Uppercase Letter 41
 
0.6%
Other Punctuation 23
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 338
 
7.7%
구 337
 
7.7%
문 337
 
7.7%
학 337
 
7.7%
역 334
 
7.6%
동 307
 
7.0%
미 291
 
6.7%
추 291
 
6.7%
홀 291
 
6.7%
인 288
 
6.6%
Other values (35) 1219
27.9%
Decimal Number
ValueCountFrequency (%)
3 307
23.3%
1 226
17.2%
4 142
10.8%
5 120
 
9.1%
2 115
 
8.7%
7 99
 
7.5%
9 90
 
6.8%
8 83
 
6.3%
6 83
 
6.3%
0 51
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
L 20
48.8%
B 11
26.8%
T 10
24.4%
Open Punctuation
ValueCountFrequency (%)
( 67
97.1%
[ 2
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 64
97.0%
] 2
 
3.0%
Space Separator
ValueCountFrequency (%)
986
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4370
61.3%
Common 2714
38.1%
Latin 41
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 338
 
7.7%
구 337
 
7.7%
문 337
 
7.7%
학 337
 
7.7%
역 334
 
7.6%
동 307
 
7.0%
미 291
 
6.7%
추 291
 
6.7%
홀 291
 
6.7%
인 288
 
6.6%
Other values (35) 1219
27.9%
Common
ValueCountFrequency (%)
986
36.3%
3 307
 
11.3%
- 254
 
9.4%
1 226
 
8.3%
4 142
 
5.2%
5 120
 
4.4%
2 115
 
4.2%
7 99
 
3.6%
9 90
 
3.3%
8 83
 
3.1%
Other values (7) 292
 
10.8%
Latin
ValueCountFrequency (%)
L 20
48.8%
B 11
26.8%
T 10
24.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4370
61.3%
ASCII 2755
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
986
35.8%
3 307
 
11.1%
- 254
 
9.2%
1 226
 
8.2%
4 142
 
5.2%
5 120
 
4.4%
2 115
 
4.2%
7 99
 
3.6%
9 90
 
3.3%
8 83
 
3.0%
Other values (10) 333
 
12.1%
Hangul
ValueCountFrequency (%)
시 338
 
7.7%
구 337
 
7.7%
문 337
 
7.7%
학 337
 
7.7%
역 334
 
7.6%
동 307
 
7.0%
미 291
 
6.7%
추 291
 
6.7%
홀 291
 
6.7%
인 288
 
6.6%
Other values (35) 1219
27.9%

증권번호
Text

MISSING 

Distinct284
Distinct (%)99.6%
Missing3
Missing (%)1.0%
Memory size2.4 KiB
2024-01-28T15:46:22.677023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length21.968421
Min length1

Characters and Unicode

Total characters6261
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique283 ?
Unique (%)99.3%

Sample

1st row310-023-200100013770-74
2nd row310-023-200100011493-97
3rd row310-023-200100012698-02
4th row310-023-200100013680-84
5th row310-023-200100012960-64
ValueCountFrequency (%)
100-000-2020 21
 
5.2%
100-000-2021 14
 
3.5%
100-000-2022 10
 
2.5%
0544 4
 
1.0%
100-000-2013 3
 
0.8%
0045 3
 
0.8%
0048 3
 
0.8%
0387 3
 
0.8%
100-000-2014 2
 
0.5%
0323 2
 
0.5%
Other values (327) 335
83.8%
2024-01-28T15:46:22.967575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2212
35.3%
2 821
 
13.1%
- 735
 
11.7%
1 667
 
10.7%
3 632
 
10.1%
5 205
 
3.3%
4 198
 
3.2%
8 174
 
2.8%
7 173
 
2.8%
9 170
 
2.7%
Other values (3) 274
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5405
86.3%
Dash Punctuation 735
 
11.7%
Space Separator 117
 
1.9%
Math Symbol 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2212
40.9%
2 821
 
15.2%
1 667
 
12.3%
3 632
 
11.7%
5 205
 
3.8%
4 198
 
3.7%
8 174
 
3.2%
7 173
 
3.2%
9 170
 
3.1%
6 153
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 735
100.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6261
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2212
35.3%
2 821
 
13.1%
- 735
 
11.7%
1 667
 
10.7%
3 632
 
10.1%
5 205
 
3.3%
4 198
 
3.2%
8 174
 
2.8%
7 173
 
2.8%
9 170
 
2.7%
Other values (3) 274
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6261
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2212
35.3%
2 821
 
13.1%
- 735
 
11.7%
1 667
 
10.7%
3 632
 
10.1%
5 205
 
3.3%
4 198
 
3.2%
8 174
 
2.8%
7 173
 
2.8%
9 170
 
2.7%
Other values (3) 274
 
4.4%

증권발급일
Date

MISSING 

Distinct214
Distinct (%)76.7%
Missing9
Missing (%)3.1%
Memory size2.4 KiB
Minimum1997-02-14 00:00:00
Maximum2023-01-31 00:00:00
2024-01-28T15:46:23.077361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:23.169597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

1년치 금액
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)100.0%
Missing278
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean2639629.2
Minimum862250
Maximum9567150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-01-28T15:46:23.249200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum862250
5-th percentile926667.5
Q11203764.2
median1505790
Q32368962.5
95-th percentile7498866.7
Maximum9567150
Range8704900
Interquartile range (IQR)1165198.2

Descriptive statistics

Standard deviation2711211.6
Coefficient of variation (CV)1.0271184
Kurtosis5.196821
Mean2639629.2
Median Absolute Deviation (MAD)446990
Skewness2.27575
Sum26396292
Variance7.3506685 × 1012
MonotonicityNot monotonic
2024-01-28T15:46:23.327825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4970965 1
 
0.3%
1005400 1
 
0.3%
1427930 1
 
0.3%
862250 1
 
0.3%
1583650 1
 
0.3%
1899380 1
 
0.3%
1423587 1
 
0.3%
1130490 1
 
0.3%
2525490 1
 
0.3%
9567150 1
 
0.3%
(Missing) 278
96.5%
ValueCountFrequency (%)
862250 1
0.3%
1005400 1
0.3%
1130490 1
0.3%
1423587 1
0.3%
1427930 1
0.3%
1583650 1
0.3%
1899380 1
0.3%
2525490 1
0.3%
4970965 1
0.3%
9567150 1
0.3%
ValueCountFrequency (%)
9567150 1
0.3%
4970965 1
0.3%
2525490 1
0.3%
1899380 1
0.3%
1583650 1
0.3%
1427930 1
0.3%
1423587 1
0.3%
1130490 1
0.3%
1005400 1
0.3%
862250 1
0.3%

2년치 금액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct46
Distinct (%)93.9%
Missing239
Missing (%)83.0%
Infinite0
Infinite (%)0.0%
Mean4304383.8
Minimum1546440
Maximum22825970
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-01-28T15:46:23.424392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1546440
5-th percentile1850528
Q12707950
median2972340
Q33029940
95-th percentile18274460
Maximum22825970
Range21279530
Interquartile range (IQR)321990

Descriptive statistics

Standard deviation4842831.9
Coefficient of variation (CV)1.125093
Kurtosis8.905561
Mean4304383.8
Median Absolute Deviation (MAD)233680
Skewness3.1766177
Sum2.109148 × 108
Variance2.3453021 × 1013
MonotonicityNot monotonic
2024-01-28T15:46:23.551012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1546440 3
 
1.0%
2672720 2
 
0.7%
2738660 1
 
0.3%
2746400 1
 
0.3%
2706390 1
 
0.3%
2423270 1
 
0.3%
3038700 1
 
0.3%
2743820 1
 
0.3%
2707950 1
 
0.3%
3029940 1
 
0.3%
Other values (36) 36
 
12.5%
(Missing) 239
83.0%
ValueCountFrequency (%)
1546440 3
1.0%
2306660 1
 
0.3%
2412050 1
 
0.3%
2423270 1
 
0.3%
2660900 1
 
0.3%
2672720 2
0.7%
2684930 1
 
0.3%
2696860 1
 
0.3%
2706390 1
 
0.3%
2707950 1
 
0.3%
ValueCountFrequency (%)
22825970 1
0.3%
21570674 1
0.3%
19519360 1
0.3%
16407110 1
0.3%
5502460 1
0.3%
4587680 1
0.3%
3679290 1
0.3%
3580580 1
0.3%
3494420 1
0.3%
3038700 1
0.3%

10년치 금액
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct48
Distinct (%)94.1%
Missing237
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean5580710.5
Minimum1222090
Maximum30434630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-01-28T15:46:23.652728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1222090
5-th percentile2061920
Q13602165
median3949920
Q34039705
95-th percentile23950980
Maximum30434630
Range29212540
Interquartile range (IQR)437540

Descriptive statistics

Standard deviation6376762.7
Coefficient of variation (CV)1.1426435
Kurtosis9.3167202
Mean5580710.5
Median Absolute Deviation (MAD)298430
Skewness3.227585
Sum2.8461624 × 108
Variance4.0663103 × 1013
MonotonicityNot monotonic
2024-01-28T15:46:23.775997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2061920 3
 
1.0%
3563620 2
 
0.7%
4037420 1
 
0.3%
3667800 1
 
0.3%
3661870 1
 
0.3%
3608520 1
 
0.3%
3231020 1
 
0.3%
4051590 1
 
0.3%
3658420 1
 
0.3%
3610600 1
 
0.3%
Other values (38) 38
 
13.2%
(Missing) 237
82.3%
ValueCountFrequency (%)
1222090 1
 
0.3%
2061920 3
1.0%
2174490 1
 
0.3%
3075550 1
 
0.3%
3216060 1
 
0.3%
3231020 1
 
0.3%
3547870 1
 
0.3%
3563620 2
0.7%
3579900 1
 
0.3%
3595810 1
 
0.3%
ValueCountFrequency (%)
30434630 1
0.3%
28760897 1
0.3%
26025810 1
0.3%
21876150 1
0.3%
7336610 1
0.3%
6116900 1
0.3%
4905720 1
0.3%
4774100 1
0.3%
4659220 1
0.3%
4051590 1
0.3%

수령일
Date

MISSING 

Distinct114
Distinct (%)87.0%
Missing157
Missing (%)54.5%
Memory size2.4 KiB
Minimum2004-02-04 00:00:00
Maximum2023-01-06 00:00:00
2024-01-28T15:46:23.910386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:24.036718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct219
Distinct (%)91.2%
Missing48
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean37.437878
Minimum37.433622
Maximum37.441601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-01-28T15:46:24.167868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.433622
5-th percentile37.43521
Q137.436639
median37.437658
Q337.439461
95-th percentile37.440317
Maximum37.441601
Range0.00797868
Interquartile range (IQR)0.0028216475

Descriptive statistics

Standard deviation0.001722187
Coefficient of variation (CV)4.6001191 × 10-5
Kurtosis-0.87602792
Mean37.437878
Median Absolute Deviation (MAD)0.001251295
Skewness-0.12825285
Sum8985.0908
Variance2.965928 × 10-6
MonotonicityNot monotonic
2024-01-28T15:46:24.285747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4365176 20
 
6.9%
37.43535967 2
 
0.7%
37.44020545 2
 
0.7%
37.43680433 1
 
0.3%
37.43796965 1
 
0.3%
37.43789502 1
 
0.3%
37.43787736 1
 
0.3%
37.4379091 1
 
0.3%
37.43665195 1
 
0.3%
37.43705548 1
 
0.3%
Other values (209) 209
72.6%
(Missing) 48
 
16.7%
ValueCountFrequency (%)
37.43362247 1
0.3%
37.43365522 1
0.3%
37.4340686 1
0.3%
37.43415394 1
0.3%
37.43418927 1
0.3%
37.43428019 1
0.3%
37.43448282 1
0.3%
37.43479697 1
0.3%
37.43489795 1
0.3%
37.43497106 1
0.3%
ValueCountFrequency (%)
37.44160115 1
0.3%
37.44065943 1
0.3%
37.44063897 1
0.3%
37.44061485 1
0.3%
37.44060921 1
0.3%
37.44058627 1
0.3%
37.44051503 1
0.3%
37.44049806 1
0.3%
37.44041438 1
0.3%
37.44035584 1
0.3%

경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct219
Distinct (%)91.2%
Missing48
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean126.68234
Minimum126.67681
Maximum126.6883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-01-28T15:46:24.396138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.67681
5-th percentile126.6783
Q1126.67995
median126.68193
Q3126.68477
95-th percentile126.6858
Maximum126.6883
Range0.0114955
Interquartile range (IQR)0.0048194

Descriptive statistics

Standard deviation0.0026797862
Coefficient of variation (CV)2.115359 × 10-5
Kurtosis-1.1813285
Mean126.68234
Median Absolute Deviation (MAD)0.0023503
Skewness-0.050580849
Sum30403.761
Variance7.1812541 × 10-6
MonotonicityNot monotonic
2024-01-28T15:46:24.503936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.685476 20
 
6.9%
126.6841138 2
 
0.7%
126.6813804 2
 
0.7%
126.6855565 1
 
0.3%
126.686659 1
 
0.3%
126.6855988 1
 
0.3%
126.6858008 1
 
0.3%
126.6853704 1
 
0.3%
126.6862639 1
 
0.3%
126.6849294 1
 
0.3%
Other values (209) 209
72.6%
(Missing) 48
 
16.7%
ValueCountFrequency (%)
126.676806 1
0.3%
126.6768342 1
0.3%
126.6770094 1
0.3%
126.6773459 1
0.3%
126.6775433 1
0.3%
126.677582 1
0.3%
126.6777158 1
0.3%
126.6778663 1
0.3%
126.6780204 1
0.3%
126.6781991 1
0.3%
ValueCountFrequency (%)
126.6883015 1
0.3%
126.6879753 1
0.3%
126.6879245 1
0.3%
126.6871363 1
0.3%
126.6870622 1
0.3%
126.686659 1
0.3%
126.6866547 1
0.3%
126.6865221 1
0.3%
126.6862639 1
0.3%
126.686119 1
0.3%

Interactions

2024-01-28T15:46:20.984691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.059451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.463094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.832728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.191934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.585224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:21.051888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.124335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.526085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.897012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.257529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.653095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:21.113072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.189117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.585337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.956990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.335103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.713086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:21.176576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.250568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.646408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.009149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.393811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.772912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:21.246123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.329288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.701028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.067763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.456016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.835361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:21.327816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.399242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:19.765828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.125966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.518312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:46:20.909612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:46:24.575686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번1년치 금액2년치 금액10년치 금액위도경도
연번1.0000.4680.0000.0000.7260.628
1년치 금액0.4681.000NaNNaN0.0000.000
2년치 금액0.000NaN1.0000.957NaNNaN
10년치 금액0.000NaN0.9571.0001.0001.000
위도0.7260.000NaN1.0001.0000.759
경도0.6280.000NaN1.0000.7591.000
2024-01-28T15:46:24.661184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번1년치 금액2년치 금액10년치 금액위도경도
연번1.0000.309-0.159-0.040-0.4480.292
1년치 금액0.3091.000NaNNaN0.0180.067
2년치 금액-0.159NaN1.0001.000-0.5000.500
10년치 금액-0.040NaN1.0001.000-0.100-0.400
위도-0.4480.018-0.500-0.1001.000-0.431
경도0.2920.0670.500-0.400-0.4311.000

Missing values

2024-01-28T15:46:21.436914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:46:21.543051image/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.
2024-01-28T15:46:21.644644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번지번주소증권번호증권발급일1년치 금액2년치 금액10년치 금액수령일위도경도
01인천광역시 미추홀구 문학동 10-2LT310-023-200100013770-742001-08-09<NA><NA><NA><NA>37.436518126.685476
12인천광역시 미추홀구 문학동 11B 4,5LT310-023-200100011493-972001-07-18<NA><NA><NA><NA>37.436518126.685476
23인천광역시 미추홀구 문학동 12-2-2310-023-200100012698-022001-07-23<NA><NA><NA><NA>37.436518126.685476
34인천광역시 미추홀구 문학동 12-2-3310-023-200100013680-842001-08-03<NA><NA><NA><NA>37.436518126.685476
45인천광역시 미추홀구 문학동 12-2-4310-023-200100012960-642001-07-25<NA><NA><NA><NA>37.436518126.685476
56인천광역시 미추홀구 문학동 12-2-5310-023-200100012976-802001-07-25<NA><NA><NA><NA>37.436518126.685476
67인천광역시 미추홀구 문학동 12B-1-2L310-023-200100005010-142001-04-17<NA><NA><NA><NA><NA><NA>
78인천광역시 미추홀구 문학동 137-1310-023-200200003921-252002-02-28<NA><NA><NA><NA>37.437253126.679914
89인천광역시 미추홀구 문학동 137-12310-023-2002000023752002-02-05<NA><NA><NA><NA>37.436804126.680338
910인천광역시 미추홀구 문학동 137-22310-023-200200003931-352002-02-28<NA><NA><NA>2004-03-1737.437242126.68006
연번지번주소증권번호증권발급일1년치 금액2년치 금액10년치 금액수령일위도경도
278279인천광역시 미추홀구 문학동 문학도시개발구역 9블록 10로트(3세대)100-000-2022 0323 23332022-07-25<NA>15464402061920<NA><NA><NA>
279280인천광역시 미추홀구 문학동 문학도시개발구역9로트(3세대)100-000-2022 0323 59892022-07-25<NA>15464402061920<NA><NA><NA>
280281인천광역시 미추홀구 문학동 문학도시개발구역 7블럭 6로트(6세대) 문학길70번길 7-7100-000-2022 0340 84142022-08-05<NA>24120503216060<NA><NA><NA>
281282인천광역시 미추홀구 문학동 문학도시개발구역 7블럭 5로트(6세대) 문학길70번길 7-9100-000-2022 0348 50212022-08-11<NA>28535903804790<NA><NA><NA>
282283인천광역시 미추홀구 문학동 문학도시개발구역 14블록2로트(6세대)100-000-2022 0346 71682022-08-10<NA>27371003649470<NA><NA><NA>
283284인천광역시 미추홀구 문학동 문학도시개발구역 9블럭8로트(3세대)100-000-2022 0475 86802022-11-07<NA>15464402061920<NA><NA><NA>
284285인천광역시 미추홀구 문학동 문학도시개발구역 10블록 5로트(8세대)100-000-2021 0014 87082021-01-21<NA>297800039706602023-01-06<NA><NA>
285286인천광역시 미추홀구 문학동 문학도시개발구역 4블록 7로트(7세대) - 미추홀구 소성로294번길 33100-000-2023 0042 89122023-01-31<NA>28891403852190<NA><NA><NA>
286287인천광역시 미추홀구 문학동 문학도시개발구역 4블록 6로트(10세대) - 미추홀구 소성로294번길 35100-000-2023 0042 90402023-01-31<NA>45876806116900<NA><NA><NA>
287288인천광역시 미추홀구 문학동 문학도시개발구역 4블럭 1로트 주택 신축공사 - 미추홀구 소성로294번길 23<NA>2021-11-16<NA>2157067428760897<NA><NA><NA>