Overview

Dataset statistics

Number of variables13
Number of observations145
Missing cells145
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.3 KiB
Average record size in memory107.9 B

Variable types

Categorical7
Text4
Numeric1
Unsupported1

Dataset

Description인천중구시설관리공단이 관리하고 있는 공공시설물에 관한 데이터로 공공시설물의 명칭, 주소, 대지면적, 관리주체, 보유 주차면수, 사용승인일 등의 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15112886/fileData.do

Alerts

지상연면적 is highly overall correlated with 지상층수 and 6 other fieldsHigh correlation
지하층수 is highly overall correlated with 지상층수 and 6 other fieldsHigh correlation
지하연면적 is highly overall correlated with 지상층수 and 6 other fieldsHigh correlation
건축면적(제곱미터) is highly overall correlated with 지상층수 and 6 other fieldsHigh correlation
지상층수 is highly overall correlated with 시설구분 and 5 other fieldsHigh correlation
시설구분 is highly overall correlated with 지상층수 and 6 other fieldsHigh correlation
관리주체 is highly overall correlated with 시설구분 and 5 other fieldsHigh correlation
보유 주차면수 is highly overall correlated with 지상층수 and 6 other fieldsHigh correlation
관리주체 is highly imbalanced (55.3%)Imbalance
건축면적(제곱미터) is highly imbalanced (62.9%)Imbalance
지하층수 is highly imbalanced (71.3%)Imbalance
지상연면적 is highly imbalanced (66.7%)Imbalance
지하연면적 is highly imbalanced (82.6%)Imbalance
보유 주차면수 is highly imbalanced (56.7%)Imbalance
Unnamed: 12 has 145 (100.0%) missing valuesMissing
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 10:56:06.811371
Analysis finished2023-12-12 10:56:08.802415
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설구분
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
근린공원
46 
어린이공원
39 
소공원
24 
노외 공영주차장
23 
구(군)청
 
2
Other values (9)
11 

Length

Max length9
Median length8
Mean length4.8551724
Min length3

Unique

Unique7 ?
Unique (%)4.8%

Sample

1st row구(군)청
2nd row구(군)청
3rd row동(읍면)주민센터
4th row구의회
5th row보건소

Common Values

ValueCountFrequency (%)
근린공원 46
31.7%
어린이공원 39
26.9%
소공원 24
16.6%
노외 공영주차장 23
15.9%
구(군)청 2
 
1.4%
보건소 2
 
1.4%
노상 공영주차장 2
 
1.4%
동(읍면)주민센터 1
 
0.7%
구의회 1
 
0.7%
보훈회관 1
 
0.7%
Other values (4) 4
 
2.8%

Length

2023-12-12T19:56:08.928700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
근린공원 46
27.1%
어린이공원 39
22.9%
공영주차장 25
14.7%
소공원 24
14.1%
노외 23
13.5%
구(군)청 2
 
1.2%
보건소 2
 
1.2%
노상 2
 
1.2%
동(읍면)주민센터 1
 
0.6%
구의회 1
 
0.6%
Other values (5) 5
 
2.9%

시설명
Text

Distinct144
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:56:09.255347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length10.689655
Min length2

Characters and Unicode

Total characters1550
Distinct characters201
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)98.6%

Sample

1st row구청사
2nd row영종제2청사
3rd row영종복합청사
4th row구의회
5th row중구보건소
ValueCountFrequency (%)
소공원 24
 
10.1%
미단시티 15
 
6.3%
근린공원 11
 
4.6%
공영주차장 3
 
1.3%
1호 3
 
1.3%
중구국민체육센터 2
 
0.8%
14호 2
 
0.8%
8호근린공원 2
 
0.8%
2호 2
 
0.8%
5호 2
 
0.8%
Other values (155) 172
72.3%
2023-12-12T19:56:10.036978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 141
 
9.1%
원 137
 
8.8%
호 102
 
6.6%
94
 
6.1%
시 62
 
4.0%
) 59
 
3.8%
( 59
 
3.8%
1 50
 
3.2%
도 46
 
3.0%
린 44
 
2.8%
Other values (191) 756
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1162
75.0%
Decimal Number 173
 
11.2%
Space Separator 94
 
6.1%
Close Punctuation 59
 
3.8%
Open Punctuation 59
 
3.8%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 141
 
12.1%
원 137
 
11.8%
호 102
 
8.8%
시 62
 
5.3%
도 46
 
4.0%
린 44
 
3.8%
하 43
 
3.7%
늘 42
 
3.6%
근 41
 
3.5%
영 26
 
2.2%
Other values (175) 478
41.1%
Decimal Number
ValueCountFrequency (%)
1 50
28.9%
2 41
23.7%
3 24
13.9%
8 9
 
5.2%
6 9
 
5.2%
9 9
 
5.2%
0 9
 
5.2%
4 8
 
4.6%
5 8
 
4.6%
7 6
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
U 1
33.3%
F 1
33.3%
O 1
33.3%
Space Separator
ValueCountFrequency (%)
94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1162
75.0%
Common 385
 
24.8%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 141
 
12.1%
원 137
 
11.8%
호 102
 
8.8%
시 62
 
5.3%
도 46
 
4.0%
린 44
 
3.8%
하 43
 
3.7%
늘 42
 
3.6%
근 41
 
3.5%
영 26
 
2.2%
Other values (175) 478
41.1%
Common
ValueCountFrequency (%)
94
24.4%
) 59
15.3%
( 59
15.3%
1 50
13.0%
2 41
10.6%
3 24
 
6.2%
8 9
 
2.3%
6 9
 
2.3%
9 9
 
2.3%
0 9
 
2.3%
Other values (3) 22
 
5.7%
Latin
ValueCountFrequency (%)
U 1
33.3%
F 1
33.3%
O 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1162
75.0%
ASCII 388
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 141
 
12.1%
원 137
 
11.8%
호 102
 
8.8%
시 62
 
5.3%
도 46
 
4.0%
린 44
 
3.8%
하 43
 
3.7%
늘 42
 
3.6%
근 41
 
3.5%
영 26
 
2.2%
Other values (175) 478
41.1%
ASCII
ValueCountFrequency (%)
94
24.2%
) 59
15.2%
( 59
15.2%
1 50
12.9%
2 41
10.6%
3 24
 
6.2%
8 9
 
2.3%
6 9
 
2.3%
9 9
 
2.3%
0 9
 
2.3%
Other values (6) 25
 
6.4%

주소
Text

Distinct142
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:56:10.527525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length14.324138
Min length5

Characters and Unicode

Total characters2077
Distinct characters77
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)95.9%

Sample

1st row신포로27번길80
2nd row인천 중구 운남서로 100(운남동)
3rd row인천 중구 운남서로 100(운남동)
4th row신포로27번길80
5th row인천 중구 참외전로 72번길 21
ValueCountFrequency (%)
중구 118
24.3%
일원 66
 
13.6%
운남동 37
 
7.6%
운서동 35
 
7.2%
운북동 19
 
3.9%
중산동 18
 
3.7%
인천 5
 
1.0%
운남서로 3
 
0.6%
신포로 3
 
0.6%
신포로27번길80 2
 
0.4%
Other values (167) 179
36.9%
2023-12-12T19:56:11.252711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
355
17.1%
1 156
 
7.5%
중 136
 
6.5%
동 125
 
6.0%
구 118
 
5.7%
- 110
 
5.3%
운 102
 
4.9%
3 82
 
3.9%
2 75
 
3.6%
원 71
 
3.4%
Other values (67) 747
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 924
44.5%
Decimal Number 680
32.7%
Space Separator 355
 
17.1%
Dash Punctuation 110
 
5.3%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 136
14.7%
동 125
13.5%
구 118
12.8%
운 102
11.0%
원 71
7.7%
일 70
7.6%
남 46
 
5.0%
서 39
 
4.2%
번 32
 
3.5%
로 23
 
2.5%
Other values (53) 162
17.5%
Decimal Number
ValueCountFrequency (%)
1 156
22.9%
3 82
12.1%
2 75
11.0%
7 69
10.1%
6 60
 
8.8%
0 56
 
8.2%
5 48
 
7.1%
8 48
 
7.1%
4 46
 
6.8%
9 40
 
5.9%
Space Separator
ValueCountFrequency (%)
355
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1153
55.5%
Hangul 924
44.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 136
14.7%
동 125
13.5%
구 118
12.8%
운 102
11.0%
원 71
7.7%
일 70
7.6%
남 46
 
5.0%
서 39
 
4.2%
번 32
 
3.5%
로 23
 
2.5%
Other values (53) 162
17.5%
Common
ValueCountFrequency (%)
355
30.8%
1 156
13.5%
- 110
 
9.5%
3 82
 
7.1%
2 75
 
6.5%
7 69
 
6.0%
6 60
 
5.2%
0 56
 
4.9%
5 48
 
4.2%
8 48
 
4.2%
Other values (4) 94
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1153
55.5%
Hangul 924
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
355
30.8%
1 156
13.5%
- 110
 
9.5%
3 82
 
7.1%
2 75
 
6.5%
7 69
 
6.0%
6 60
 
5.2%
0 56
 
4.9%
5 48
 
4.2%
8 48
 
4.2%
Other values (4) 94
 
8.2%
Hangul
ValueCountFrequency (%)
중 136
14.7%
동 125
13.5%
구 118
12.8%
운 102
11.0%
원 71
7.7%
일 70
7.6%
남 46
 
5.0%
서 39
 
4.2%
번 32
 
3.5%
로 23
 
2.5%
Other values (53) 162
17.5%

관리주체
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
인천광역시 중구청
110 
인천 중구시설관리공단
28 
인천 중구청
 
4
인천중구시설관리공단
 
2
인천광역시 중구청 평생교육과(중구시설관리공단 위탁대행)
 
1

Length

Max length30
Median length9
Mean length9.462069
Min length6

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row인천 중구청
2nd row인천중구시설관리공단
3rd row인천중구시설관리공단
4th row인천 중구청
5th row인천 중구청

Common Values

ValueCountFrequency (%)
인천광역시 중구청 110
75.9%
인천 중구시설관리공단 28
 
19.3%
인천 중구청 4
 
2.8%
인천중구시설관리공단 2
 
1.4%
인천광역시 중구청 평생교육과(중구시설관리공단 위탁대행) 1
 
0.7%

Length

2023-12-12T19:56:11.531632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:56:11.748677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구청 115
39.7%
인천광역시 111
38.3%
인천 32
 
11.0%
중구시설관리공단 28
 
9.7%
인천중구시설관리공단 2
 
0.7%
평생교육과(중구시설관리공단 1
 
0.3%
위탁대행 1
 
0.3%

대지면적(제곱미터)
Text

Distinct142
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:56:12.365295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.7103448
Min length1

Characters and Unicode

Total characters828
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)95.9%

Sample

1st row9651
2nd row12062.4
3rd row12064
4th row0
5th row0
ValueCountFrequency (%)
12064 2
 
1.4%
0 2
 
1.4%
1500 2
 
1.4%
5158.6 1
 
0.7%
11065.3 1
 
0.7%
45073 1
 
0.7%
19303.8 1
 
0.7%
31629.4 1
 
0.7%
10085.1 1
 
0.7%
14542.6 1
 
0.7%
Other values (132) 132
91.0%
2023-12-12T19:56:13.287882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 109
13.2%
. 109
13.2%
2 95
11.5%
0 89
10.7%
5 74
8.9%
6 73
8.8%
4 65
7.9%
8 60
7.2%
3 54
6.5%
9 51
6.2%
Other values (2) 49
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 718
86.7%
Other Punctuation 110
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 109
15.2%
2 95
13.2%
0 89
12.4%
5 74
10.3%
6 73
10.2%
4 65
9.1%
8 60
8.4%
3 54
7.5%
9 51
7.1%
7 48
6.7%
Other Punctuation
ValueCountFrequency (%)
. 109
99.1%
, 1
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Common 828
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 109
13.2%
. 109
13.2%
2 95
11.5%
0 89
10.7%
5 74
8.9%
6 73
8.8%
4 65
7.9%
8 60
7.2%
3 54
6.5%
9 51
6.2%
Other values (2) 49
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 109
13.2%
. 109
13.2%
2 95
11.5%
0 89
10.7%
5 74
8.9%
6 73
8.8%
4 65
7.9%
8 60
7.2%
3 54
6.5%
9 51
6.2%
Other values (2) 49
5.9%

건축면적(제곱미터)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct25
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
해당없음
113 
48
 
5
50
 
3
25
 
2
9713.09
 
2
Other values (20)
20 

Length

Max length7
Median length4
Mean length4.1517241
Min length2

Unique

Unique20 ?
Unique (%)13.8%

Sample

1st row3411.8
2nd row621.96
3rd row1283.27
4th row643.79
5th row1120.95

Common Values

ValueCountFrequency (%)
해당없음 113
77.9%
48 5
 
3.4%
50 3
 
2.1%
25 2
 
1.4%
9713.09 2
 
1.4%
175.12 1
 
0.7%
1283.27 1
 
0.7%
643.79 1
 
0.7%
1120.95 1
 
0.7%
901.11 1
 
0.7%
Other values (15) 15
 
10.3%

Length

2023-12-12T19:56:13.552444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 113
77.9%
48 5
 
3.4%
50 3
 
2.1%
25 2
 
1.4%
9713.09 2
 
1.4%
621.96 1
 
0.7%
3411.8 1
 
0.7%
57.44 1
 
0.7%
34.04 1
 
0.7%
51.3 1
 
0.7%
Other values (15) 15
 
10.3%

지하층수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
131 
1
 
9
2
 
4
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row1
2nd row1
3rd row1
4th row3
5th row2

Common Values

ValueCountFrequency (%)
0 131
90.3%
1 9
 
6.2%
2 4
 
2.8%
3 1
 
0.7%

Length

2023-12-12T19:56:13.774266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:56:13.970717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 131
90.3%
1 9
 
6.2%
2 4
 
2.8%
3 1
 
0.7%

지상층수
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2482759
Minimum0
Maximum7
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T19:56:14.126729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.87027322
Coefficient of variation (CV)0.6971802
Kurtosis18.079199
Mean1.2482759
Median Absolute Deviation (MAD)0
Skewness3.9800215
Sum181
Variance0.75737548
MonotonicityNot monotonic
2023-12-12T19:56:14.311361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 129
89.0%
3 7
 
4.8%
2 3
 
2.1%
4 2
 
1.4%
5 2
 
1.4%
7 1
 
0.7%
0 1
 
0.7%
ValueCountFrequency (%)
0 1
 
0.7%
1 129
89.0%
2 3
 
2.1%
3 7
 
4.8%
4 2
 
1.4%
5 2
 
1.4%
7 1
 
0.7%
ValueCountFrequency (%)
7 1
 
0.7%
5 2
 
1.4%
4 2
 
1.4%
3 7
 
4.8%
2 3
 
2.1%
1 129
89.0%
0 1
 
0.7%

지상연면적
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct20
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
해당없음
118 
48
 
5
50
 
3
25
 
2
12206.99
 
2
Other values (15)
15 

Length

Max length8
Median length4
Mean length4.1310345
Min length2

Unique

Unique15 ?
Unique (%)10.3%

Sample

1st row10350.99
2nd row2932.95
3rd row2114.7
4th row1839.79
5th row4063.16

Common Values

ValueCountFrequency (%)
해당없음 118
81.4%
48 5
 
3.4%
50 3
 
2.1%
25 2
 
1.4%
12206.99 2
 
1.4%
2932.95 1
 
0.7%
2114.7 1
 
0.7%
1839.79 1
 
0.7%
4063.16 1
 
0.7%
1665.65 1
 
0.7%
Other values (10) 10
 
6.9%

Length

2023-12-12T19:56:14.542272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 118
81.4%
48 5
 
3.4%
50 3
 
2.1%
25 2
 
1.4%
12206.99 2
 
1.4%
594.6 1
 
0.7%
10350.99 1
 
0.7%
141.32 1
 
0.7%
57.44 1
 
0.7%
34.04 1
 
0.7%
Other values (10) 10
 
6.9%

지하연면적
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct10
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
해당없음
135 
1157.65
 
2
33
 
1
1046.23
 
1
674.4
 
1
Other values (5)
 
5

Length

Max length7
Median length4
Mean length4.1448276
Min length2

Unique

Unique8 ?
Unique (%)5.5%

Sample

1st row33
2nd row1046.23
3rd row674.4
4th row5916.99
5th row2731.34

Common Values

ValueCountFrequency (%)
해당없음 135
93.1%
1157.65 2
 
1.4%
33 1
 
0.7%
1046.23 1
 
0.7%
674.4 1
 
0.7%
5916.99 1
 
0.7%
2731.34 1
 
0.7%
293.12 1
 
0.7%
633.49 1
 
0.7%
1436.85 1
 
0.7%

Length

2023-12-12T19:56:14.755284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:56:14.956541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 135
93.1%
1157.65 2
 
1.4%
33 1
 
0.7%
1046.23 1
 
0.7%
674.4 1
 
0.7%
5916.99 1
 
0.7%
2731.34 1
 
0.7%
293.12 1
 
0.7%
633.49 1
 
0.7%
1436.85 1
 
0.7%

보유 주차면수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct39
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
해당없음
105 
60
 
2
192
 
2
93
 
1
47
 
1
Other values (34)
34 

Length

Max length4
Median length4
Mean length3.5517241
Min length1

Unique

Unique36 ?
Unique (%)24.8%

Sample

1st row0
2nd row113
3rd row5
4th row180
5th row43

Common Values

ValueCountFrequency (%)
해당없음 105
72.4%
60 2
 
1.4%
192 2
 
1.4%
93 1
 
0.7%
47 1
 
0.7%
56 1
 
0.7%
5 1
 
0.7%
180 1
 
0.7%
43 1
 
0.7%
66 1
 
0.7%
Other values (29) 29
 
20.0%

Length

2023-12-12T19:56:15.192648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 105
72.4%
192 2
 
1.4%
60 2
 
1.4%
31 1
 
0.7%
103 1
 
0.7%
52 1
 
0.7%
0 1
 
0.7%
184 1
 
0.7%
136 1
 
0.7%
35 1
 
0.7%
Other values (29) 29
 
20.0%

세부 공간별 면적
Text

Distinct111
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T19:56:15.654982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length58
Mean length11.462069
Min length4

Characters and Unicode

Total characters1662
Distinct characters72
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)75.2%

Sample

1st row동별관871.82 월디관4152.9 본관2014.7 북별관865.81 서별관2226.96 부속건물7.92
2nd row해당없음
3rd row해당없음
4th row지상1839.79 지하5916.99(주차시설)
5th row1층 1,008.27, 2층 791.99, 3층 936.07, 4층 901.98, 5층 424.85
ValueCountFrequency (%)
시설면적 104
36.1%
해당없음 34
 
11.8%
341.57 3
 
1.0%
1층 2
 
0.7%
다목적체육관(배드민턴,탁구장):932.4 2
 
0.7%
5층 2
 
0.7%
3층 2
 
0.7%
2층 2
 
0.7%
4층 2
 
0.7%
헬스장242.16 2
 
0.7%
Other values (130) 133
46.2%
2023-12-12T19:56:16.500556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
 
8.7%
1 109
 
6.6%
적 106
 
6.4%
시 105
 
6.3%
설 105
 
6.3%
면 104
 
6.3%
. 99
 
6.0%
4 79
 
4.8%
2 79
 
4.8%
5 68
 
4.1%
Other values (62) 664
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 684
41.2%
Decimal Number 676
40.7%
Space Separator 144
 
8.7%
Other Punctuation 138
 
8.3%
Close Punctuation 9
 
0.5%
Open Punctuation 9
 
0.5%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
적 106
15.5%
시 105
15.4%
설 105
15.4%
면 104
15.2%
없 34
 
5.0%
당 34
 
5.0%
음 34
 
5.0%
해 34
 
5.0%
층 16
 
2.3%
관 7
 
1.0%
Other values (45) 105
15.4%
Decimal Number
ValueCountFrequency (%)
1 109
16.1%
4 79
11.7%
2 79
11.7%
5 68
10.1%
9 66
9.8%
7 60
8.9%
3 58
8.6%
0 57
8.4%
8 55
8.1%
6 45
6.7%
Other Punctuation
ValueCountFrequency (%)
. 99
71.7%
, 33
 
23.9%
: 6
 
4.3%
Space Separator
ValueCountFrequency (%)
144
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 976
58.7%
Hangul 684
41.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
적 106
15.5%
시 105
15.4%
설 105
15.4%
면 104
15.2%
없 34
 
5.0%
당 34
 
5.0%
음 34
 
5.0%
해 34
 
5.0%
층 16
 
2.3%
관 7
 
1.0%
Other values (45) 105
15.4%
Common
ValueCountFrequency (%)
144
14.8%
1 109
11.2%
. 99
10.1%
4 79
8.1%
2 79
8.1%
5 68
7.0%
9 66
6.8%
7 60
 
6.1%
3 58
 
5.9%
0 57
 
5.8%
Other values (6) 157
16.1%
Latin
ValueCountFrequency (%)
m 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 978
58.8%
Hangul 684
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
14.7%
1 109
11.1%
. 99
10.1%
4 79
8.1%
2 79
8.1%
5 68
7.0%
9 66
6.7%
7 60
 
6.1%
3 58
 
5.9%
0 57
 
5.8%
Other values (7) 159
16.3%
Hangul
ValueCountFrequency (%)
적 106
15.5%
시 105
15.4%
설 105
15.4%
면 104
15.2%
없 34
 
5.0%
당 34
 
5.0%
음 34
 
5.0%
해 34
 
5.0%
층 16
 
2.3%
관 7
 
1.0%
Other values (45) 105
15.4%

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing145
Missing (%)100.0%
Memory size1.4 KiB

Interactions

2023-12-12T19:56:08.059416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:56:16.741122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분관리주체건축면적(제곱미터)지하층수지상층수지상연면적지하연면적보유 주차면수
시설구분1.0000.9740.9500.9320.9300.9460.9700.976
관리주체0.9741.0000.9940.6070.6600.9900.9920.999
건축면적(제곱미터)0.9500.9941.0000.9931.0000.9961.0000.988
지하층수0.9320.6070.9931.0000.7210.9900.9410.995
지상층수0.9300.6601.0000.7211.0000.9390.8990.994
지상연면적0.9460.9900.9960.9900.9391.0001.0000.968
지하연면적0.9700.9921.0000.9410.8991.0001.0001.000
보유 주차면수0.9760.9990.9880.9950.9940.9681.0001.000
2023-12-12T19:56:16.990606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지상연면적관리주체지하층수지하연면적보유 주차면수건축면적(제곱미터)시설구분
지상연면적1.0000.8160.8210.9620.6280.9160.686
관리주체0.8161.0000.5330.8540.8670.8260.896
지하층수0.8210.5331.0000.8400.8440.9010.794
지하연면적0.9620.8540.8401.0000.8860.9430.856
보유 주차면수0.6280.8670.8440.8861.0000.7480.718
건축면적(제곱미터)0.9160.8260.9010.9430.7481.0000.671
시설구분0.6860.8960.7940.8560.7180.6711.000
2023-12-12T19:56:17.237146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지상층수시설구분관리주체건축면적(제곱미터)지하층수지상연면적지하연면적보유 주차면수
지상층수1.0000.6130.4990.9330.5860.7310.7410.842
시설구분0.6131.0000.8960.6710.7940.6860.8560.718
관리주체0.4990.8961.0000.8260.5330.8160.8540.867
건축면적(제곱미터)0.9330.6710.8261.0000.9010.9160.9430.748
지하층수0.5860.7940.5330.9011.0000.8210.8400.844
지상연면적0.7310.6860.8160.9160.8211.0000.9620.628
지하연면적0.7410.8560.8540.9430.8400.9621.0000.886
보유 주차면수0.8420.7180.8670.7480.8440.6280.8861.000

Missing values

2023-12-12T19:56:08.339247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:56:08.640585image/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

시설구분시설명주소관리주체대지면적(제곱미터)건축면적(제곱미터)지하층수지상층수지상연면적지하연면적보유 주차면수세부 공간별 면적Unnamed: 12
0구(군)청구청사신포로27번길80인천 중구청96513411.81410350.99330동별관871.82 월디관4152.9 본관2014.7 북별관865.81 서별관2226.96 부속건물7.92<NA>
1구(군)청영종제2청사인천 중구 운남서로 100(운남동)인천중구시설관리공단12062.4621.96152932.951046.23113해당없음<NA>
2동(읍면)주민센터영종복합청사인천 중구 운남서로 100(운남동)인천중구시설관리공단120641283.27132114.7674.45해당없음<NA>
3구의회구의회신포로27번길80인천 중구청0643.79331839.795916.99180지상1839.79 지하5916.99(주차시설)<NA>
4보건소중구보건소인천 중구 참외전로 72번길 21인천 중구청01120.95254063.162731.34431층 1,008.27, 2층 791.99, 3층 936.07, 4층 901.98, 5층 424.85<NA>
5보건소영종복합청사 별관인천 중구 운남서로 100-1(운남동)인천 중구시설관리공단12064901.11121665.65293.1266해당없음<NA>
6보훈회관중구보훈회관인천 중구 신포로 46번길 31인천 중구청489341.57271863.84633.49111층 341.57, 2층 341.57, 3층 341.57, 4층 291.8, 5층 242.04, 6층 190.24, 7층 115.05<NA>
7공사/공단중구국민체육센터중구 축항대로 296번길 81인천 중구시설관리공단460369713.091312206.991157.65192다목적체육관(배드민턴,탁구장):932.4, 수영장:911.23(수영레인25m 6레인,경영풀,유아풀,체온회복풀), 골프연습실:434.45, 헬스장242.16<NA>
8청소년수련시설청소년수련관인천광역시 중구 송산로52(운남동)인천광역시 중구청 평생교육과(중구시설관리공단 위탁대행)50002138.44133841.991436.8547지하1층(1436.85), 지상1층(1265.94), 지상2층(1509.03), 지상3층(1067.02)<NA>
9실내체육관중구국민체육센터중구 축항대로 296번길 81인천 중구시설관리공단46036.39713.091312206.991157.65192다목적체육관(배드민턴,탁구장):932.4, 수영장:911.23(수영레인25m 6레인,경영풀,유아풀,체온회복풀), 골프연습실:434.45, 헬스장242.16<NA>
시설구분시설명주소관리주체대지면적(제곱미터)건축면적(제곱미터)지하층수지상층수지상연면적지하연면적보유 주차면수세부 공간별 면적Unnamed: 12
135근린공원나루터공원(영종하늘도시 22호근린공원)중구 중산동 1938-39 일원인천광역시 중구청58403.7165.501165.5해당없음52시설면적 22268.71<NA>
136근린공원볕뉘공원(영종하늘도시 27호근린공원)중구 운서동3076-1 일원인천광역시 중구청10926.1해당없음01해당없음해당없음해당없음시설면적 3033.54<NA>
137근린공원중촌공원(영종하늘도시 29호근린공원)중구 운서동 1766-3 일원인천광역시 중구청20126.9480148해당없음해당없음시설면적 6935.10<NA>
138근린공원구읍공원(영종하늘도시 33호근린공원)중구 중산동 1959-2 일원인천광역시 중구청8651.9해당없음01해당없음해당없음해당없음시설면적 3388.88<NA>
139근린공원둔치공원(영종하늘도시 34호근린공원)중구 운남동 1745-10 일원인천광역시 중구청43513.6해당없음01해당없음해당없음해당없음시설면적 11450.31<NA>
140근린공원호수공원(영종하늘도시 35호근린공원)중구 운남동 1681-9 일원인천광역시 중구청55128.2480148해당없음해당없음시설면적 17942.52<NA>
141근린공원쌈지공원(영종하늘도시 36호근린공원)중구 중산동 1929-19 일원인천광역시 중구청10172해당없음01해당없음해당없음해당없음시설면적 2979.43<NA>
142근린공원영종하늘도시37호근린공원중구 운남동 1722-84 일원인천광역시 중구청28383.8해당없음01해당없음해당없음20시설면적 9073.43<NA>
143근린공원영종하늘도시38호근린공원중구 운남동1649-1 일원인천광역시 중구청54684.5해당없음01해당없음해당없음해당없음시설면적 3163.56<NA>
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