Overview

Dataset statistics

Number of variables11
Number of observations93
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory93.4 B

Variable types

Numeric4
Categorical4
Text2
DateTime1

Dataset

Description서울특별시 강서구 민간공사장현황입니다.제공데이터: 연번, 자치구명, 규모, 민간공사장명, 위치, 연면적, 착공예정일, 데이터기준일자
Author서울특별시 강서구
URLhttps://www.data.go.kr/data/15108492/fileData.do

Alerts

시군구 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 지하규모 and 1 other fieldsHigh correlation
지상규모 is highly overall correlated with 연면적High correlation
지하규모 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연면적 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
주용도 is highly overall correlated with 연면적High correlation
지하규모 has 1 (1.1%) missing valuesMissing
연번 has unique valuesUnique
지번 has unique valuesUnique
연면적 has unique valuesUnique
지하규모 has 24 (25.8%) zerosZeros

Reproduction

Analysis started2023-12-12 22:41:31.223315
Analysis finished2023-12-12 22:41:33.344724
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.225806
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:41:33.409121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.6
Q124
median47
Q370
95-th percentile89.4
Maximum94
Range93
Interquartile range (IQR)46

Descriptive statistics

Standard deviation27.296731
Coefficient of variation (CV)0.57800454
Kurtosis-1.1925546
Mean47.225806
Median Absolute Deviation (MAD)23
Skewness0.021741994
Sum4392
Variance745.1115
MonotonicityStrictly increasing
2023-12-13T07:41:33.573805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (83) 83
89.2%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
서울특별시 강서구
93 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 강서구
2nd row서울특별시 강서구
3rd row서울특별시 강서구
4th row서울특별시 강서구
5th row서울특별시 강서구

Common Values

ValueCountFrequency (%)
서울특별시 강서구 93
100.0%

Length

2023-12-13T07:41:33.692888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:41:33.778209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 93
50.0%
강서구 93
50.0%

동
Categorical

Distinct9
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size876.0 B
화곡동
31 
마곡동
23 
공항동
11 
등촌동
9 
내발산동
6 
Other values (4)
13 

Length

Max length4
Median length3
Mean length3.0645161
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화곡동
2nd row화곡동
3rd row화곡동
4th row공항동
5th row가양동

Common Values

ValueCountFrequency (%)
화곡동 31
33.3%
마곡동 23
24.7%
공항동 11
 
11.8%
등촌동 9
 
9.7%
내발산동 6
 
6.5%
염창동 5
 
5.4%
가양동 3
 
3.2%
방화동 3
 
3.2%
개화동 2
 
2.2%

Length

2023-12-13T07:41:33.871950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:41:33.994327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화곡동 31
33.3%
마곡동 23
24.7%
공항동 11
 
11.8%
등촌동 9
 
9.7%
내발산동 6
 
6.5%
염창동 5
 
5.4%
가양동 3
 
3.2%
방화동 3
 
3.2%
개화동 2
 
2.2%

지번
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T07:41:34.242418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length7.7096774
Min length1

Characters and Unicode

Total characters717
Distinct characters36
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

Unique93 ?
Unique (%)100.0%

Sample

1st row1064
2nd row936-1 외1필지
3rd row921-15 외1필지
4th row11-10 외1필지
5th row1479-11
ValueCountFrequency (%)
외1필지 22
 
16.2%
외2필지 5
 
3.7%
마곡일반산업단지 2
 
1.5%
외 2
 
1.5%
1064 1
 
0.7%
230-15 1
 
0.7%
658 1
 
0.7%
1012-2 1
 
0.7%
24-114 1
 
0.7%
24-168 1
 
0.7%
Other values (99) 99
72.8%
2023-12-13T07:41:34.664232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 96
13.4%
- 81
11.3%
2 56
 
7.8%
6 47
 
6.6%
43
 
6.0%
7 42
 
5.9%
8 41
 
5.7%
지 39
 
5.4%
4 38
 
5.3%
5 36
 
5.0%
Other values (26) 198
27.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 441
61.5%
Other Letter 139
 
19.4%
Dash Punctuation 81
 
11.3%
Space Separator 43
 
6.0%
Uppercase Letter 5
 
0.7%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 39
28.1%
외 33
23.7%
필 33
23.7%
마 5
 
3.6%
곡 5
 
3.6%
단 3
 
2.2%
산 3
 
2.2%
업 3
 
2.2%
동 2
 
1.4%
반 2
 
1.4%
Other values (8) 11
 
7.9%
Decimal Number
ValueCountFrequency (%)
1 96
21.8%
2 56
12.7%
6 47
10.7%
7 42
9.5%
8 41
9.3%
4 38
 
8.6%
5 36
 
8.2%
3 31
 
7.0%
9 30
 
6.8%
0 24
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
D 3
60.0%
B 1
 
20.0%
L 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 573
79.9%
Hangul 139
 
19.4%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 39
28.1%
외 33
23.7%
필 33
23.7%
마 5
 
3.6%
곡 5
 
3.6%
단 3
 
2.2%
산 3
 
2.2%
업 3
 
2.2%
동 2
 
1.4%
반 2
 
1.4%
Other values (8) 11
 
7.9%
Common
ValueCountFrequency (%)
1 96
16.8%
- 81
14.1%
2 56
9.8%
6 47
8.2%
43
7.5%
7 42
7.3%
8 41
7.2%
4 38
 
6.6%
5 36
 
6.3%
3 31
 
5.4%
Other values (5) 62
10.8%
Latin
ValueCountFrequency (%)
D 3
60.0%
B 1
 
20.0%
L 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 578
80.6%
Hangul 139
 
19.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 96
16.6%
- 81
14.0%
2 56
9.7%
6 47
8.1%
43
7.4%
7 42
7.3%
8 41
7.1%
4 38
 
6.6%
5 36
 
6.2%
3 31
 
5.4%
Other values (8) 67
11.6%
Hangul
ValueCountFrequency (%)
지 39
28.1%
외 33
23.7%
필 33
23.7%
마 5
 
3.6%
곡 5
 
3.6%
단 3
 
2.2%
산 3
 
2.2%
업 3
 
2.2%
동 2
 
1.4%
반 2
 
1.4%
Other values (8) 11
 
7.9%

공사명
Text

Distinct89
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-13T07:41:34.956304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length22.473118
Min length9

Characters and Unicode

Total characters2090
Distinct characters195
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)92.5%

Sample

1st row화곡동 1064 오피스텔 신축공사
2nd row화곡동 936-1,2번지 근생 및 오피스텔 신축공사
3rd row강서구 화곡동 921-15외 1필지 업무시설 및 근생 신축공사
4th row강서구 공항동 11-10외 1필지 도시형생활주택 개발사업 신축공사
5th rowKB국민은행 가양동 업무시설(합숙소) 신축공사
ValueCountFrequency (%)
신축공사 75
 
18.6%
화곡동 19
 
4.7%
및 15
 
3.7%
오피스텔 12
 
3.0%
마곡 10
 
2.5%
도시형생활주택 10
 
2.5%
공항동 9
 
2.2%
다세대주택 8
 
2.0%
근생 7
 
1.7%
공동주택 5
 
1.2%
Other values (166) 234
57.9%
2023-12-13T07:41:35.379383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
312
 
14.9%
공 109
 
5.2%
사 96
 
4.6%
축 89
 
4.3%
신 86
 
4.1%
1 64
 
3.1%
동 61
 
2.9%
- 51
 
2.4%
곡 42
 
2.0%
주 41
 
2.0%
Other values (185) 1139
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1332
63.7%
Space Separator 312
 
14.9%
Decimal Number 267
 
12.8%
Uppercase Letter 77
 
3.7%
Dash Punctuation 51
 
2.4%
Other Punctuation 24
 
1.1%
Open Punctuation 10
 
0.5%
Close Punctuation 10
 
0.5%
Other Symbol 6
 
0.3%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 109
 
8.2%
사 96
 
7.2%
축 89
 
6.7%
신 86
 
6.5%
동 61
 
4.6%
곡 42
 
3.2%
주 41
 
3.1%
택 37
 
2.8%
지 33
 
2.5%
시 33
 
2.5%
Other values (150) 705
52.9%
Uppercase Letter
ValueCountFrequency (%)
D 19
24.7%
C 11
14.3%
I 8
10.4%
R 7
 
9.1%
P 5
 
6.5%
E 5
 
6.5%
B 4
 
5.2%
M 4
 
5.2%
L 3
 
3.9%
S 3
 
3.9%
Other values (6) 8
10.4%
Decimal Number
ValueCountFrequency (%)
1 64
24.0%
2 32
12.0%
3 26
9.7%
5 24
 
9.0%
6 23
 
8.6%
4 23
 
8.6%
8 21
 
7.9%
0 21
 
7.9%
9 18
 
6.7%
7 15
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 15
62.5%
& 8
33.3%
/ 1
 
4.2%
Space Separator
ValueCountFrequency (%)
312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1338
64.0%
Common 674
32.2%
Latin 78
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 109
 
8.1%
사 96
 
7.2%
축 89
 
6.7%
신 86
 
6.4%
동 61
 
4.6%
곡 42
 
3.1%
주 41
 
3.1%
택 37
 
2.8%
지 33
 
2.5%
시 33
 
2.5%
Other values (151) 711
53.1%
Common
ValueCountFrequency (%)
312
46.3%
1 64
 
9.5%
- 51
 
7.6%
2 32
 
4.7%
3 26
 
3.9%
5 24
 
3.6%
6 23
 
3.4%
4 23
 
3.4%
8 21
 
3.1%
0 21
 
3.1%
Other values (7) 77
 
11.4%
Latin
ValueCountFrequency (%)
D 19
24.4%
C 11
14.1%
I 8
10.3%
R 7
 
9.0%
P 5
 
6.4%
E 5
 
6.4%
B 4
 
5.1%
M 4
 
5.1%
L 3
 
3.8%
S 3
 
3.8%
Other values (7) 9
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1332
63.7%
ASCII 752
36.0%
None 6
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
312
41.5%
1 64
 
8.5%
- 51
 
6.8%
2 32
 
4.3%
3 26
 
3.5%
5 24
 
3.2%
6 23
 
3.1%
4 23
 
3.1%
8 21
 
2.8%
0 21
 
2.8%
Other values (24) 155
20.6%
Hangul
ValueCountFrequency (%)
공 109
 
8.2%
사 96
 
7.2%
축 89
 
6.7%
신 86
 
6.5%
동 61
 
4.6%
곡 42
 
3.2%
주 41
 
3.1%
택 37
 
2.8%
지 33
 
2.5%
시 33
 
2.5%
Other values (150) 705
52.9%
None
ValueCountFrequency (%)
㈜ 6
100.0%

착공예정일
Date

Distinct81
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum2017-02-06 00:00:00
Maximum2023-02-20 00:00:00
2023-12-13T07:41:35.515308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:35.652979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주용도
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size876.0 B
업무시설
34 
공동주택
29 
교육연구시설
11 
단독주택
5 
제1종근린생활시설
4 
Other values (7)
10 

Length

Max length12
Median length4
Mean length4.8817204
Min length4

Unique

Unique5 ?
Unique (%)5.4%

Sample

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

Common Values

ValueCountFrequency (%)
업무시설 34
36.6%
공동주택 29
31.2%
교육연구시설 11
 
11.8%
단독주택 5
 
5.4%
제1종근린생활시설 4
 
4.3%
제2종근린생활시설 3
 
3.2%
공장(지식산업센터) 2
 
2.2%
숙박시설 1
 
1.1%
노유자시설 1
 
1.1%
자원순환관련시설 1
 
1.1%
Other values (2) 2
 
2.2%

Length

2023-12-13T07:41:35.807388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
업무시설 34
36.6%
공동주택 29
31.2%
교육연구시설 11
 
11.8%
단독주택 5
 
5.4%
제1종근린생활시설 4
 
4.3%
제2종근린생활시설 3
 
3.2%
공장(지식산업센터 2
 
2.2%
숙박시설 1
 
1.1%
노유자시설 1
 
1.1%
자원순환관련시설 1
 
1.1%
Other values (2) 2
 
2.2%

지상규모
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4086022
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:41:35.940480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q311
95-th percentile15
Maximum20
Range19
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.1210925
Coefficient of variation (CV)0.49010435
Kurtosis-0.065143809
Mean8.4086022
Median Absolute Deviation (MAD)3
Skewness0.55905061
Sum782
Variance16.983403
MonotonicityNot monotonic
2023-12-13T07:41:36.073626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
6 14
15.1%
5 11
11.8%
7 8
8.6%
9 8
8.6%
4 6
 
6.5%
8 6
 
6.5%
11 6
 
6.5%
15 6
 
6.5%
12 5
 
5.4%
10 5
 
5.4%
Other values (7) 18
19.4%
ValueCountFrequency (%)
1 2
 
2.2%
2 4
 
4.3%
3 1
 
1.1%
4 6
6.5%
5 11
11.8%
6 14
15.1%
7 8
8.6%
8 6
6.5%
9 8
8.6%
10 5
 
5.4%
ValueCountFrequency (%)
20 2
 
2.2%
16 1
 
1.1%
15 6
6.5%
14 4
4.3%
13 4
4.3%
12 5
5.4%
11 6
6.5%
10 5
5.4%
9 8
8.6%
8 6
6.5%

지하규모
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct8
Distinct (%)8.7%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1.9021739
Minimum0
Maximum7
Zeros24
Zeros (%)25.8%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:41:36.200725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9275891
Coefficient of variation (CV)1.0133611
Kurtosis0.46051095
Mean1.9021739
Median Absolute Deviation (MAD)1
Skewness1.1297547
Sum175
Variance3.7155996
MonotonicityNot monotonic
2023-12-13T07:41:36.321484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 26
28.0%
0 24
25.8%
2 17
18.3%
4 7
 
7.5%
3 7
 
7.5%
6 5
 
5.4%
5 3
 
3.2%
7 3
 
3.2%
(Missing) 1
 
1.1%
ValueCountFrequency (%)
0 24
25.8%
1 26
28.0%
2 17
18.3%
3 7
 
7.5%
4 7
 
7.5%
5 3
 
3.2%
6 5
 
5.4%
7 3
 
3.2%
ValueCountFrequency (%)
7 3
 
3.2%
6 5
 
5.4%
5 3
 
3.2%
4 7
 
7.5%
3 7
 
7.5%
2 17
18.3%
1 26
28.0%
0 24
25.8%

연면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21303.83
Minimum151.28
Maximum462889.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-13T07:41:36.490328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151.28
5-th percentile292.852
Q1659.78
median1997.5618
Q39345.07
95-th percentile106131.54
Maximum462889.37
Range462738.09
Interquartile range (IQR)8685.29

Descriptive statistics

Standard deviation65125.158
Coefficient of variation (CV)3.0569695
Kurtosis28.110155
Mean21303.83
Median Absolute Deviation (MAD)1495.1918
Skewness5.0259136
Sum1981256.2
Variance4.2412862 × 109
MonotonicityNot monotonic
2023-12-13T07:41:36.964687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24461.1613 1
 
1.1%
303.19 1
 
1.1%
1964.2 1
 
1.1%
792.29 1
 
1.1%
1115.62 1
 
1.1%
151.28 1
 
1.1%
1581.14 1
 
1.1%
271.58 1
 
1.1%
1755.78 1
 
1.1%
1649.84 1
 
1.1%
Other values (83) 83
89.2%
ValueCountFrequency (%)
151.28 1
1.1%
156.32 1
1.1%
216.0 1
1.1%
271.58 1
1.1%
285.64 1
1.1%
297.66 1
1.1%
303.19 1
1.1%
368.66 1
1.1%
399.7 1
1.1%
468.8 1
1.1%
ValueCountFrequency (%)
462889.37 1
1.1%
326061.33 1
1.1%
199366.8638 1
1.1%
160357.86 1
1.1%
157065.89 1
1.1%
72175.3145 1
1.1%
62995.18 1
1.1%
49973.92 1
1.1%
41321.7 1
1.1%
37693.17 1
1.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-03-28
93 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-28
2nd row2023-03-28
3rd row2023-03-28
4th row2023-03-28
5th row2023-03-28

Common Values

ValueCountFrequency (%)
2023-03-28 93
100.0%

Length

2023-12-13T07:41:37.085722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:41:37.180337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-28 93
100.0%

Interactions

2023-12-13T07:41:32.826214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:31.938060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.216647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.516264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.891349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:31.999463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.295237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.588964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.976651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.074959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.374264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.667094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:33.052988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.150604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.450026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:41:32.755078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:41:37.237411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동지번공사명착공예정일주용도지상규모지하규모연면적
연번1.0000.6651.0000.9500.9440.5730.5170.6360.398
동0.6651.0001.0000.9880.9460.6000.6680.3630.000
지번1.0001.0001.0001.0001.0001.0001.0001.0001.000
공사명0.9500.9881.0001.0000.9981.0000.9681.0001.000
착공예정일0.9440.9461.0000.9981.0000.0000.7960.7970.000
주용도0.5730.6001.0001.0000.0001.0000.6660.7330.877
지상규모0.5170.6681.0000.9680.7960.6661.0000.4660.000
지하규모0.6360.3631.0001.0000.7970.7330.4661.0000.671
연면적0.3980.0001.0001.0000.0000.8770.0000.6711.000
2023-12-13T07:41:37.360400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주용도동
주용도1.0000.297
동0.2971.000
2023-12-13T07:41:37.453081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지상규모지하규모연면적동주용도
연번1.000-0.420-0.704-0.8030.3760.277
지상규모-0.4201.0000.4880.5350.2680.349
지하규모-0.7040.4881.0000.8910.1830.452
연면적-0.8030.5350.8911.0000.0000.524
동0.3760.2680.1830.0001.0000.297
주용도0.2770.3490.4520.5240.2971.000

Missing values

2023-12-13T07:41:33.154314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:41:33.295611image/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

연번시군구동지번공사명착공예정일주용도지상규모지하규모연면적데이터기준일자
01서울특별시 강서구화곡동1064화곡동 1064 오피스텔 신축공사2021-09-01업무시설13624461.16132023-03-28
12서울특별시 강서구화곡동936-1 외1필지화곡동 936-1,2번지 근생 및 오피스텔 신축공사2022-11-30업무시설1322378.462023-03-28
23서울특별시 강서구화곡동921-15 외1필지강서구 화곡동 921-15외 1필지 업무시설 및 근생 신축공사2022-07-10업무시설1522075.162023-03-28
34서울특별시 강서구공항동11-10 외1필지강서구 공항동 11-10외 1필지 도시형생활주택 개발사업 신축공사2022-06-20업무시설14218118.58952023-03-28
45서울특별시 강서구가양동1479-11KB국민은행 가양동 업무시설(합숙소) 신축공사2022-11-25업무시설16613661.052023-03-28
56서울특별시 강서구등촌동641-12등촌동 641-12 근생/오피스텔 및 도시형생활주택 신축공사2022-09-23업무시설1412308.792023-03-28
67서울특별시 강서구내발산동701-7 외1필지내발산동701-7,8 서울시 사회주택 신축공사2021-03-18업무시설812426.192023-03-28
78서울특별시 강서구마곡동123 외4필지154kV 강서변전소 토건공사2022-01-24업무시설1413856.672023-03-28
89서울특별시 강서구마곡동779-1 외 1필지마곡 R&D센터(지식산업센터) D13-1 건립사업2022-12-19업무시설11430245.02023-03-28
910서울특별시 강서구마곡동805-1,2,3마곡 일반산업단지 D40-2 연구시설 신축공사2022-09-06교육연구시설5413048.02023-03-28
연번시군구동지번공사명착공예정일주용도지상규모지하규모연면적데이터기준일자
8385서울특별시 강서구화곡동352-6화곡동 352-6 다세대주택 신축공사2022-12-25공동주택60560.912023-03-28
8486서울특별시 강서구화곡동355-35 외1필지화곡동 355-35외 1필지 도시형생활주택 신축공사2022-10-07공동주택60562.862023-03-28
8587서울특별시 강서구화곡동358-1 외2필지화곡동 358-1 공동주택 신축공사2022-07-04공동주택60701.12023-03-28
8688서울특별시 강서구화곡동922-15화곡동 주거복합건축물 신축공사2022-04-10공동주택112925.692023-03-28
8789서울특별시 강서구화곡동359-94 외2필지화곡동 359-94외 2필지 도시형생활주택 신축공사2022-06-27공동주택60656.752023-03-28
8890서울특별시 강서구화곡동901-26화곡동 901-26 오피스텔 신축공사2021-06-01업무시설1021997.56182023-03-28
8991서울특별시 강서구염창동241-14염창동 241-14 근린생활시설 신축공사2022-10-31제2종근린생활시설821220.82023-03-28
9092서울특별시 강서구염창동283-15 외1필지염창동 283-15외 1필지 오피스텔 및 아파트 신축공사2022-04-01업무시설1311744.882023-03-28
9193서울특별시 강서구화곡동393-14화곡동 393-14 공동주택 신축공사2022-10-31공동주택60502.372023-03-28
9294서울특별시 강서구화곡동330-41화곡동 330-41 단독주택 신축공사2022-09-01단독주택20156.322023-03-28