Overview

Dataset statistics

Number of variables16
Number of observations6614
Missing cells7883
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory865.6 KiB
Average record size in memory134.0 B

Variable types

Numeric6
Categorical6
Text3
DateTime1

Dataset

Description인천광역시 미추홀구 다세대주택 현황에 관한 공공데이터로 시군구명, 법정동, 대지구분, 연면적, 주용도, 세대수, 사용승인일이 제공됩니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15044943&srcSe=7661IVAWM27C61E190

Alerts

시군구명 has constant value ""Constant
대장구분 has constant value ""Constant
대장종류 has constant value ""Constant
주용도 has constant value ""Constant
대지구분 is highly imbalanced (92.3%)Imbalance
세대수 has 232 (3.5%) missing valuesMissing
가구수 has 2079 (31.4%) missing valuesMissing
호수 has 5512 (83.3%) missing valuesMissing
세대수 is highly skewed (γ1 = 21.30030118)Skewed
가구수 is highly skewed (γ1 = 47.90410166)Skewed
연번 has unique valuesUnique
주지번 has 106 (1.6%) zerosZeros
부지번 has 436 (6.6%) zerosZeros
세대수 has 70 (1.1%) zerosZeros
가구수 has 4282 (64.7%) zerosZeros

Reproduction

Analysis started2024-03-18 05:36:32.685215
Analysis finished2024-03-18 05:36:39.794218
Duration7.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct6614
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3307.5
Minimum1
Maximum6614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.3 KiB
2024-03-18T14:36:39.858097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile331.65
Q11654.25
median3307.5
Q34960.75
95-th percentile6283.35
Maximum6614
Range6613
Interquartile range (IQR)3306.5

Descriptive statistics

Standard deviation1909.4417
Coefficient of variation (CV)0.57730663
Kurtosis-1.2
Mean3307.5
Median Absolute Deviation (MAD)1653.5
Skewness0
Sum21875805
Variance3645967.5
MonotonicityStrictly increasing
2024-03-18T14:36:39.992869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4408 1
 
< 0.1%
4418 1
 
< 0.1%
4417 1
 
< 0.1%
4416 1
 
< 0.1%
4415 1
 
< 0.1%
4414 1
 
< 0.1%
4413 1
 
< 0.1%
4412 1
 
< 0.1%
4411 1
 
< 0.1%
Other values (6604) 6604
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 (%)
6614 1
< 0.1%
6613 1
< 0.1%
6612 1
< 0.1%
6611 1
< 0.1%
6610 1
< 0.1%
6609 1
< 0.1%
6608 1
< 0.1%
6607 1
< 0.1%
6606 1
< 0.1%
6605 1
< 0.1%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.8 KiB
인천광역시 미추홀구
6614 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천광역시 미추홀구
2nd row인천광역시 미추홀구
3rd row인천광역시 미추홀구
4th row인천광역시 미추홀구
5th row인천광역시 미추홀구

Common Values

ValueCountFrequency (%)
인천광역시 미추홀구 6614
100.0%

Length

2024-03-18T14:36:40.132277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:36:40.216784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천광역시 6614
50.0%
미추홀구 6614
50.0%

법정동
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size51.8 KiB
주안동
2694 
용현동
1130 
도화동
1029 
숭의동
824 
문학동
454 
Other values (2)
483 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주안동 2694
40.7%
용현동 1130
17.1%
도화동 1029
 
15.6%
숭의동 824
 
12.5%
문학동 454
 
6.9%
학익동 440
 
6.7%
관교동 43
 
0.7%

Length

2024-03-18T14:36:40.305398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:36:40.412236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주안동 2694
40.7%
용현동 1130
17.1%
도화동 1029
 
15.6%
숭의동 824
 
12.5%
문학동 454
 
6.9%
학익동 440
 
6.7%
관교동 43
 
0.7%

대지위치주소
Text

Distinct5955
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size51.8 KiB
2024-03-18T14:36:40.677638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length23.856819
Min length19

Characters and Unicode

Total characters157789
Distinct characters59
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

Unique5571 ?
Unique (%)84.2%

Sample

1st row인천광역시 미추홀구 숭의동 0001-0138
2nd row인천광역시 미추홀구 숭의동 0001-0147
3rd row인천광역시 미추홀구 숭의동 0001-0223
4th row인천광역시 미추홀구 숭의동 0002-0115
5th row인천광역시 미추홀구 숭의동 0004-0065
ValueCountFrequency (%)
인천광역시 6614
24.8%
미추홀구 6614
24.8%
주안동 2694
10.1%
용현동 1130
 
4.2%
도화동 1029
 
3.9%
숭의동 824
 
3.1%
문학동 454
 
1.7%
학익동 440
 
1.7%
문학도시개발구역 78
 
0.3%
관교동 43
 
0.2%
Other values (5753) 6725
25.2%
2024-03-18T14:36:41.159986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23022
 
14.6%
20031
 
12.7%
구 6724
 
4.3%
시 6699
 
4.2%
역 6697
 
4.2%
인 6614
 
4.2%
동 6614
 
4.2%
광 6614
 
4.2%
미 6614
 
4.2%
추 6614
 
4.2%
Other values (49) 61546
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80623
51.1%
Decimal Number 50957
32.3%
Space Separator 20031
 
12.7%
Dash Punctuation 6178
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6724
8.3%
시 6699
8.3%
역 6697
8.3%
인 6614
8.2%
동 6614
8.2%
광 6614
8.2%
미 6614
8.2%
추 6614
8.2%
홀 6614
8.2%
천 6614
8.2%
Other values (37) 14205
17.6%
Decimal Number
ValueCountFrequency (%)
0 23022
45.2%
1 5708
 
11.2%
2 3856
 
7.6%
3 3183
 
6.2%
4 3104
 
6.1%
5 3037
 
6.0%
6 2871
 
5.6%
8 2182
 
4.3%
7 2129
 
4.2%
9 1865
 
3.7%
Space Separator
ValueCountFrequency (%)
20031
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6178
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80623
51.1%
Common 77166
48.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6724
8.3%
시 6699
8.3%
역 6697
8.3%
인 6614
8.2%
동 6614
8.2%
광 6614
8.2%
미 6614
8.2%
추 6614
8.2%
홀 6614
8.2%
천 6614
8.2%
Other values (37) 14205
17.6%
Common
ValueCountFrequency (%)
0 23022
29.8%
20031
26.0%
- 6178
 
8.0%
1 5708
 
7.4%
2 3856
 
5.0%
3 3183
 
4.1%
4 3104
 
4.0%
5 3037
 
3.9%
6 2871
 
3.7%
8 2182
 
2.8%
Other values (2) 3994
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80623
51.1%
ASCII 77166
48.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23022
29.8%
20031
26.0%
- 6178
 
8.0%
1 5708
 
7.4%
2 3856
 
5.0%
3 3183
 
4.1%
4 3104
 
4.0%
5 3037
 
3.9%
6 2871
 
3.7%
8 2182
 
2.8%
Other values (2) 3994
 
5.2%
Hangul
ValueCountFrequency (%)
구 6724
8.3%
시 6699
8.3%
역 6697
8.3%
인 6614
8.2%
동 6614
8.2%
광 6614
8.2%
미 6614
8.2%
추 6614
8.2%
홀 6614
8.2%
천 6614
8.2%
Other values (37) 14205
17.6%

도로명주소
Text

Distinct6264
Distinct (%)95.1%
Missing26
Missing (%)0.4%
Memory size51.8 KiB
2024-03-18T14:36:41.387455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length22.171979
Min length16

Characters and Unicode

Total characters146069
Distinct characters98
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

Unique6176 ?
Unique (%)93.7%

Sample

1st row인천광역시 미추홀구 경인로144번길 34
2nd row인천광역시 미추홀구 경인로142번길 15
3rd row인천광역시 미추홀구 경인로142번길 31
4th row인천광역시 미추홀구 수봉로33번길 46
5th row인천광역시 미추홀구 수봉안길13번길 4
ValueCountFrequency (%)
인천광역시 6588
25.0%
미추홀구 6588
25.0%
12 114
 
0.4%
염창로 93
 
0.4%
경인북길 87
 
0.3%
15 85
 
0.3%
14 82
 
0.3%
11 82
 
0.3%
16 80
 
0.3%
18 76
 
0.3%
Other values (2702) 12477
47.3%
2024-03-18T14:36:41.751012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19764
 
13.5%
인 7852
 
5.4%
홀 7140
 
4.9%
미 6946
 
4.8%
추 6946
 
4.8%
천 6683
 
4.6%
구 6654
 
4.6%
광 6588
 
4.5%
역 6588
 
4.5%
시 6588
 
4.5%
Other values (88) 64320
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92850
63.6%
Decimal Number 30757
 
21.1%
Space Separator 19764
 
13.5%
Dash Punctuation 2698
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 7852
 
8.5%
홀 7140
 
7.7%
미 6946
 
7.5%
추 6946
 
7.5%
천 6683
 
7.2%
구 6654
 
7.2%
광 6588
 
7.1%
역 6588
 
7.1%
시 6588
 
7.1%
길 6473
 
7.0%
Other values (76) 24392
26.3%
Decimal Number
ValueCountFrequency (%)
1 6091
19.8%
2 4246
13.8%
3 3926
12.8%
4 3216
10.5%
5 2944
9.6%
6 2425
 
7.9%
7 2313
 
7.5%
8 2023
 
6.6%
9 1793
 
5.8%
0 1780
 
5.8%
Space Separator
ValueCountFrequency (%)
19764
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2698
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92850
63.6%
Common 53219
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 7852
 
8.5%
홀 7140
 
7.7%
미 6946
 
7.5%
추 6946
 
7.5%
천 6683
 
7.2%
구 6654
 
7.2%
광 6588
 
7.1%
역 6588
 
7.1%
시 6588
 
7.1%
길 6473
 
7.0%
Other values (76) 24392
26.3%
Common
ValueCountFrequency (%)
19764
37.1%
1 6091
 
11.4%
2 4246
 
8.0%
3 3926
 
7.4%
4 3216
 
6.0%
5 2944
 
5.5%
- 2698
 
5.1%
6 2425
 
4.6%
7 2313
 
4.3%
8 2023
 
3.8%
Other values (2) 3573
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92850
63.6%
ASCII 53219
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19764
37.1%
1 6091
 
11.4%
2 4246
 
8.0%
3 3926
 
7.4%
4 3216
 
6.0%
5 2944
 
5.5%
- 2698
 
5.1%
6 2425
 
4.6%
7 2313
 
4.3%
8 2023
 
3.8%
Other values (2) 3573
 
6.7%
Hangul
ValueCountFrequency (%)
인 7852
 
8.5%
홀 7140
 
7.7%
미 6946
 
7.5%
추 6946
 
7.5%
천 6683
 
7.2%
구 6654
 
7.2%
광 6588
 
7.1%
역 6588
 
7.1%
시 6588
 
7.1%
길 6473
 
7.0%
Other values (76) 24392
26.3%

대장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.8 KiB
집합
6614 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집합 6614
100.0%

Length

2024-03-18T14:36:41.865311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:36:41.942227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집합 6614
100.0%

대장종류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.8 KiB
표제부
6614 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
표제부 6614
100.0%

Length

2024-03-18T14:36:42.024773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:36:42.127354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
표제부 6614
100.0%

대지구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.8 KiB
대지
6506 
블록
 
106
산
 
2

Length

Max length2
Median length2
Mean length1.9996976
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대지 6506
98.4%
블록 106
 
1.6%
산 2
 
< 0.1%

Length

2024-03-18T14:36:42.234494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:36:42.321165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대지 6506
98.4%
블록 106
 
1.6%
산 2
 
< 0.1%

주지번
Real number (ℝ)

ZEROS 

Distinct862
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean515.88555
Minimum0
Maximum1638
Zeros106
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size58.3 KiB
2024-03-18T14:36:42.430186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q1121
median424
Q3684
95-th percentile1501
Maximum1638
Range1638
Interquartile range (IQR)563

Descriptive statistics

Standard deviation455.87462
Coefficient of variation (CV)0.88367395
Kurtosis-0.0092914854
Mean515.88555
Median Absolute Deviation (MAD)285
Skewness0.94206975
Sum3412067
Variance207821.67
MonotonicityNot monotonic
2024-03-18T14:36:42.586384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 106
 
1.6%
2 103
 
1.6%
306 86
 
1.3%
10 84
 
1.3%
627 78
 
1.2%
248 74
 
1.1%
624 71
 
1.1%
454 69
 
1.0%
26 55
 
0.8%
456 52
 
0.8%
Other values (852) 5836
88.2%
ValueCountFrequency (%)
0 106
1.6%
1 41
 
0.6%
2 103
1.6%
3 24
 
0.4%
4 10
 
0.2%
5 25
 
0.4%
6 32
 
0.5%
7 34
 
0.5%
8 21
 
0.3%
9 15
 
0.2%
ValueCountFrequency (%)
1638 6
0.1%
1628 9
0.1%
1621 7
0.1%
1614 12
0.2%
1613 3
 
< 0.1%
1607 9
0.1%
1606 2
 
< 0.1%
1600 3
 
< 0.1%
1593 1
 
< 0.1%
1591 8
0.1%

부지번
Real number (ℝ)

ZEROS 

Distinct344
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.136377
Minimum0
Maximum829
Zeros436
Zeros (%)6.6%
Negative0
Negative (%)0.0%
Memory size58.3 KiB
2024-03-18T14:36:42.735584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median15
Q341
95-th percentile159
Maximum829
Range829
Interquartile range (IQR)36

Descriptive statistics

Standard deviation68.986383
Coefficient of variation (CV)1.7627176
Kurtosis22.879287
Mean39.136377
Median Absolute Deviation (MAD)13
Skewness4.1142009
Sum258848
Variance4759.121
MonotonicityNot monotonic
2024-03-18T14:36:42.852722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 436
 
6.6%
1 372
 
5.6%
2 292
 
4.4%
3 264
 
4.0%
4 245
 
3.7%
5 221
 
3.3%
6 193
 
2.9%
7 186
 
2.8%
8 182
 
2.8%
9 170
 
2.6%
Other values (334) 4053
61.3%
ValueCountFrequency (%)
0 436
6.6%
1 372
5.6%
2 292
4.4%
3 264
4.0%
4 245
3.7%
5 221
3.3%
6 193
2.9%
7 186
2.8%
8 182
2.8%
9 170
 
2.6%
ValueCountFrequency (%)
829 1
< 0.1%
636 1
< 0.1%
628 1
< 0.1%
625 1
< 0.1%
623 1
< 0.1%
613 1
< 0.1%
611 1
< 0.1%
597 1
< 0.1%
595 1
< 0.1%
589 2
< 0.1%

주용도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size51.8 KiB
공동주택
6614 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공동주택 6614
100.0%

Length

2024-03-18T14:36:42.981546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:36:43.067190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동주택 6614
100.0%

기타용도
Text

Distinct377
Distinct (%)5.7%
Missing1
Missing (%)< 0.1%
Memory size51.8 KiB
2024-03-18T14:36:43.256943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length35
Mean length5.5023439
Min length2

Characters and Unicode

Total characters36387
Distinct characters190
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique249 ?
Unique (%)3.8%

Sample

1st row공동주택
2nd row공동주택,제1종근린생활시설
3rd row공동주택
4th row다세대
5th row공동주택
ValueCountFrequency (%)
공동주택 3041
41.1%
다세대주택 1500
20.3%
다세대 913
 
12.3%
근린생활시설 263
 
3.6%
주택 184
 
2.5%
아파트 178
 
2.4%
연립주택 147
 
2.0%
업무시설 135
 
1.8%
공동주택(다세대주택 52
 
0.7%
제2종근린생활시설 49
 
0.7%
Other values (319) 933
 
12.6%
2024-03-18T14:36:43.579083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 5558
15.3%
택 5463
15.0%
동 3448
9.5%
공 3432
9.4%
대 2683
 
7.4%
세 2673
 
7.3%
다 2592
 
7.1%
, 900
 
2.5%
시 830
 
2.3%
설 806
 
2.2%
Other values (180) 8002
22.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33547
92.2%
Other Punctuation 916
 
2.5%
Space Separator 783
 
2.2%
Decimal Number 445
 
1.2%
Close Punctuation 297
 
0.8%
Open Punctuation 297
 
0.8%
Dash Punctuation 51
 
0.1%
Uppercase Letter 51
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 5558
16.6%
택 5463
16.3%
동 3448
10.3%
공 3432
10.2%
대 2683
8.0%
세 2673
8.0%
다 2592
7.7%
시 830
 
2.5%
설 806
 
2.4%
생 556
 
1.7%
Other values (150) 5506
16.4%
Decimal Number
ValueCountFrequency (%)
1 193
43.4%
2 143
32.1%
8 24
 
5.4%
0 23
 
5.2%
9 15
 
3.4%
6 12
 
2.7%
7 10
 
2.2%
5 10
 
2.2%
3 8
 
1.8%
4 7
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
M 15
29.4%
F 15
29.4%
D 15
29.4%
E 2
 
3.9%
G 1
 
2.0%
X 1
 
2.0%
V 1
 
2.0%
L 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 900
98.3%
/ 8
 
0.9%
. 4
 
0.4%
· 2
 
0.2%
: 1
 
0.1%
* 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 296
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 296
99.7%
[ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
783
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33547
92.2%
Common 2789
 
7.7%
Latin 51
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 5558
16.6%
택 5463
16.3%
동 3448
10.3%
공 3432
10.2%
대 2683
8.0%
세 2673
8.0%
다 2592
7.7%
시 830
 
2.5%
설 806
 
2.4%
생 556
 
1.7%
Other values (150) 5506
16.4%
Common
ValueCountFrequency (%)
, 900
32.3%
783
28.1%
) 296
 
10.6%
( 296
 
10.6%
1 193
 
6.9%
2 143
 
5.1%
- 51
 
1.8%
8 24
 
0.9%
0 23
 
0.8%
9 15
 
0.5%
Other values (12) 65
 
2.3%
Latin
ValueCountFrequency (%)
M 15
29.4%
F 15
29.4%
D 15
29.4%
E 2
 
3.9%
G 1
 
2.0%
X 1
 
2.0%
V 1
 
2.0%
L 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33547
92.2%
ASCII 2838
 
7.8%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 5558
16.6%
택 5463
16.3%
동 3448
10.3%
공 3432
10.2%
대 2683
8.0%
세 2673
8.0%
다 2592
7.7%
시 830
 
2.5%
설 806
 
2.4%
생 556
 
1.7%
Other values (150) 5506
16.4%
ASCII
ValueCountFrequency (%)
, 900
31.7%
783
27.6%
) 296
 
10.4%
( 296
 
10.4%
1 193
 
6.8%
2 143
 
5.0%
- 51
 
1.8%
8 24
 
0.8%
0 23
 
0.8%
9 15
 
0.5%
Other values (19) 114
 
4.0%
None
ValueCountFrequency (%)
· 2
100.0%

세대수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct195
Distinct (%)3.1%
Missing232
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean19.949702
Minimum0
Maximum3971
Zeros70
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size58.3 KiB
2024-03-18T14:36:43.717108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median8
Q311
95-th percentile36
Maximum3971
Range3971
Interquartile range (IQR)3

Descriptive statistics

Standard deviation94.575694
Coefficient of variation (CV)4.740707
Kurtosis663.23367
Mean19.949702
Median Absolute Deviation (MAD)2
Skewness21.300301
Sum127319
Variance8944.5618
MonotonicityNot monotonic
2024-03-18T14:36:43.860157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2302
34.8%
10 789
 
11.9%
6 500
 
7.6%
12 417
 
6.3%
9 345
 
5.2%
7 261
 
3.9%
15 204
 
3.1%
4 172
 
2.6%
11 156
 
2.4%
16 151
 
2.3%
Other values (185) 1085
16.4%
(Missing) 232
 
3.5%
ValueCountFrequency (%)
0 70
 
1.1%
1 8
 
0.1%
2 44
 
0.7%
3 60
 
0.9%
4 172
 
2.6%
5 84
 
1.3%
6 500
 
7.6%
7 261
 
3.9%
8 2302
34.8%
9 345
 
5.2%
ValueCountFrequency (%)
3971 1
< 0.1%
2657 1
< 0.1%
2090 1
< 0.1%
1509 1
< 0.1%
1500 1
< 0.1%
1480 1
< 0.1%
1458 1
< 0.1%
1309 1
< 0.1%
1173 1
< 0.1%
992 1
< 0.1%

가구수
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct15
Distinct (%)0.3%
Missing2079
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean0.17706725
Minimum0
Maximum174
Zeros4282
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size58.3 KiB
2024-03-18T14:36:43.972078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum174
Range174
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.0365664
Coefficient of variation (CV)17.149226
Kurtosis2556.3226
Mean0.17706725
Median Absolute Deviation (MAD)0
Skewness47.904102
Sum803
Variance9.2207356
MonotonicityNot monotonic
2024-03-18T14:36:44.062624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 4282
64.7%
1 133
 
2.0%
2 74
 
1.1%
3 16
 
0.2%
4 14
 
0.2%
8 4
 
0.1%
6 3
 
< 0.1%
28 2
 
< 0.1%
15 1
 
< 0.1%
7 1
 
< 0.1%
Other values (5) 5
 
0.1%
(Missing) 2079
31.4%
ValueCountFrequency (%)
0 4282
64.7%
1 133
 
2.0%
2 74
 
1.1%
3 16
 
0.2%
4 14
 
0.2%
5 1
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
8 4
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
174 1
 
< 0.1%
92 1
 
< 0.1%
28 2
< 0.1%
15 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
8 4
0.1%
7 1
 
< 0.1%
6 3
< 0.1%
5 1
 
< 0.1%

사용승인일자
Date

Distinct3416
Distinct (%)51.9%
Missing33
Missing (%)0.5%
Memory size51.8 KiB
Minimum1970-12-05 00:00:00
Maximum2023-04-03 00:00:00
2024-03-18T14:36:44.172359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:44.314537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

호수
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)5.0%
Missing5512
Missing (%)83.3%
Infinite0
Infinite (%)0.0%
Mean6.2722323
Minimum1
Maximum204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.3 KiB
2024-03-18T14:36:44.736609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile26
Maximum204
Range203
Interquartile range (IQR)4

Descriptive statistics

Standard deviation13.153061
Coefficient of variation (CV)2.0970303
Kurtosis74.361363
Mean6.2722323
Median Absolute Deviation (MAD)1
Skewness7.0710735
Sum6912
Variance173.00302
MonotonicityNot monotonic
2024-03-18T14:36:44.876252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 333
 
5.0%
2 230
 
3.5%
4 149
 
2.3%
3 108
 
1.6%
6 54
 
0.8%
8 28
 
0.4%
5 27
 
0.4%
12 23
 
0.3%
9 13
 
0.2%
16 11
 
0.2%
Other values (45) 126
 
1.9%
(Missing) 5512
83.3%
ValueCountFrequency (%)
1 333
5.0%
2 230
3.5%
3 108
 
1.6%
4 149
2.3%
5 27
 
0.4%
6 54
 
0.8%
7 8
 
0.1%
8 28
 
0.4%
9 13
 
0.2%
10 3
 
< 0.1%
ValueCountFrequency (%)
204 1
< 0.1%
149 1
< 0.1%
134 1
< 0.1%
102 1
< 0.1%
90 2
< 0.1%
80 1
< 0.1%
72 1
< 0.1%
66 1
< 0.1%
65 1
< 0.1%
63 1
< 0.1%

Interactions

2024-03-18T14:36:38.405608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:35.364500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:35.987501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:36.525531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:37.130597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:37.777653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:38.498326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:35.495304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:36.071810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:36.671705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:37.230174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:37.899667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:38.641888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:35.621215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:36.152034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:36.786953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:37.330442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:38.014336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:38.759990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:35.721949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:36.234063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:36.863384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:37.428932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:38.108870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:38.880970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:35.811722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:36.325693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:36.952350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:37.532563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:38.196577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:38.980575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:35.898293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:36.425957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:37.031653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:37.652619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:36:38.312093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:36:44.965999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번법정동대지구분주지번부지번세대수가구수호수
연번1.0000.0590.0130.0710.0000.0000.0450.000
법정동0.0591.0000.3490.6460.2580.1480.0000.000
대지구분0.0130.3491.0000.2270.0190.0900.0000.000
주지번0.0710.6460.2271.0000.1810.1380.0540.000
부지번0.0000.2580.0190.1811.0000.0910.0000.000
세대수0.0000.1480.0900.1380.0911.0000.000NaN
가구수0.0450.0000.0000.0540.0000.0001.0000.887
호수0.0000.0000.0000.0000.000NaN0.8871.000
2024-03-18T14:36:45.068813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대지구분법정동
대지구분1.0000.251
법정동0.2511.000
2024-03-18T14:36:45.151874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주지번부지번세대수가구수호수법정동대지구분
연번1.0000.005-0.0020.001-0.0060.0340.0300.007
주지번0.0051.000-0.154-0.025-0.018-0.1130.3980.138
부지번-0.002-0.1541.000-0.115-0.041-0.1590.1390.008
세대수0.001-0.025-0.1151.0000.0370.3460.0520.060
가구수-0.006-0.018-0.0410.0371.0000.0690.0000.000
호수0.034-0.113-0.1590.3460.0691.0000.0000.000
법정동0.0300.3980.1390.0520.0000.0001.0000.251
대지구분0.0070.1380.0080.0600.0000.0000.2511.000

Missing values

2024-03-18T14:36:39.354298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:36:39.558678image/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.
2024-03-18T14:36:39.713507image/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

연번시군구명법정동대지위치주소도로명주소대장구분대장종류대지구분주지번부지번주용도기타용도세대수가구수사용승인일자호수
01인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0001-0138인천광역시 미추홀구 경인로144번길 34집합표제부대지1138공동주택공동주택402003-02-26<NA>
12인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0001-0147인천광역시 미추홀구 경인로142번길 15집합표제부대지1147공동주택공동주택,제1종근린생활시설802003-04-161
23인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0001-0223인천광역시 미추홀구 경인로142번길 31집합표제부대지1223공동주택공동주택802002-05-08<NA>
34인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0002-0115인천광역시 미추홀구 수봉로33번길 46집합표제부대지2115공동주택다세대801991-01-28<NA>
45인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0004-0065인천광역시 미추홀구 수봉안길13번길 4집합표제부대지465공동주택공동주택802002-06-03<NA>
56인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0008-0222인천광역시 미추홀구 수봉로95번길 25집합표제부대지8222공동주택다세대주택601987-06-12<NA>
67인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0072-0019인천광역시 미추홀구 독정이로92번길 39집합표제부대지7219공동주택공동주택802004-09-23<NA>
78인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0087-0020인천광역시 미추홀구 석정로140번길 6-1집합표제부대지8720공동주택다세대801989-12-04<NA>
89인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0166-0014인천광역시 미추홀구 미추로27번길 18-16집합표제부대지16614공동주택다세대주택, 근린생활시설1312001-12-261
910인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0168-0009인천광역시 미추홀구 미추로27번길 7집합표제부대지1689공동주택다세대주택902001-06-23<NA>
연번시군구명법정동대지위치주소도로명주소대장구분대장종류대지구분주지번부지번주용도기타용도세대수가구수사용승인일자호수
66046605인천광역시 미추홀구용현동인천광역시 미추홀구 용현동 0034-0003인천광역시 미추홀구 한나루로477번길 7집합표제부대지343공동주택공동주택8<NA>2023-01-10<NA>
66056606인천광역시 미추홀구주안동인천광역시 미추홀구 주안동 0551-0027인천광역시 미추홀구 미추홀대로657번길 66집합표제부대지55127공동주택공동주택(다세대주택)8<NA>2023-03-07<NA>
66066607인천광역시 미추홀구용현동인천광역시 미추홀구 용현동 0565-0060인천광역시 미추홀구 낙섬중로91번길 16-15집합표제부대지56560공동주택공동주택10<NA>2023-04-03<NA>
66076608인천광역시 미추홀구주안동인천광역시 미추홀구 주안동 0013-0001인천광역시 미추홀구 석정로351번길 12집합표제부대지131공동주택경비실2002002-11-29<NA>
66086609인천광역시 미추홀구주안동인천광역시 미추홀구 주안동 1614인천광역시 미추홀구 경원대로864번길 114집합표제부대지16140공동주택관리소,경로당,보육실,주민공동시설,문고등<NA><NA>2008-05-28<NA>
66096610인천광역시 미추홀구용현동인천광역시 미추홀구 용현동 0652인천광역시 미추홀구 낙섬동로 51집합표제부대지6520공동주택지하주차장<NA><NA>2010-09-27<NA>
66106611인천광역시 미추홀구주안동인천광역시 미추홀구 주안동 0124-0001인천광역시 미추홀구 주안로 117-16집합표제부대지1241공동주택지하주차장<NA><NA>2017-09-25<NA>
66116612인천광역시 미추홀구도화동인천광역시 미추홀구 도화동 1004인천광역시 미추홀구 숙골로112번길 11집합표제부대지10040공동주택전기실,발전기실<NA><NA>2018-01-25<NA>
66126613인천광역시 미추홀구주안동인천광역시 미추홀구 주안동 1628인천광역시 미추홀구 염전로 414집합표제부대지16280공동주택주민공동시설<NA><NA>2021-07-27<NA>
66136614인천광역시 미추홀구숭의동인천광역시 미추홀구 숭의동 0462인천광역시 미추홀구 참외전로 268집합표제부대지4620공동주택부대시설(커뮤니티)<NA><NA>2022-04-14<NA>