Overview

Dataset statistics

Number of variables12
Number of observations347
Missing cells7
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory98.4 B

Variable types

Numeric2
Categorical5
Text5

Dataset

Description인천광역시 민방위 비상급수시설 현황으로 정부지원, 지자체, 공공공 시설 347개소가 있습니다. 각각의 시설은 음용수와 생활용수로 구분됩니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105973&srcSe=7661IVAWM27C61E190

Alerts

임시연번 is highly overall correlated with 군구High correlation
군구 is highly overall correlated with 임시연번 and 1 other fieldsHigh correlation
시설종류 is highly overall correlated with 용도 and 1 other fieldsHigh correlation
용도 is highly overall correlated with 시설종류 and 1 other fieldsHigh correlation
개방유무 is highly overall correlated with 군구High correlation
시설유형 is highly overall correlated with 시설종류 and 1 other fieldsHigh correlation
도로명 주소 has 7 (2.0%) missing valuesMissing
임시연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:59:12.232130
Analysis finished2024-01-28 12:59:13.838158
Duration1.61 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

임시연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct347
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174
Minimum1
Maximum347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-28T21:59:13.924205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.3
Q187.5
median174
Q3260.5
95-th percentile329.7
Maximum347
Range346
Interquartile range (IQR)173

Descriptive statistics

Standard deviation100.31451
Coefficient of variation (CV)0.57652015
Kurtosis-1.2
Mean174
Median Absolute Deviation (MAD)87
Skewness0
Sum60378
Variance10063
MonotonicityStrictly increasing
2024-01-28T21:59:14.083565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
230 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
Other values (337) 337
97.1%
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 (%)
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%
343 1
0.3%
342 1
0.3%
341 1
0.3%
340 1
0.3%
339 1
0.3%
338 1
0.3%

군구
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
서구
81 
남동구
78 
연수구
45 
부평구
40 
미추홀구
32 
Other values (5)
71 

Length

Max length4
Median length3
Mean length2.7982709
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 81
23.3%
남동구 78
22.5%
연수구 45
13.0%
부평구 40
11.5%
미추홀구 32
 
9.2%
계양구 31
 
8.9%
강화군 12
 
3.5%
동구 11
 
3.2%
중구 10
 
2.9%
옹진군 7
 
2.0%

Length

2024-01-28T21:59:14.255314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:59:14.407480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 81
23.3%
남동구 78
22.5%
연수구 45
13.0%
부평구 40
11.5%
미추홀구 32
 
9.2%
계양구 31
 
8.9%
강화군 12
 
3.5%
동구 11
 
3.2%
중구 10
 
2.9%
옹진군 7
 
2.0%

읍면동
Text

Distinct113
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-01-28T21:59:14.741570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.9596542
Min length3

Characters and Unicode

Total characters1374
Distinct characters100
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)11.5%

Sample

1st row운서동
2nd row용유동
3rd row영종동
4th row신흥동
5th row동인천동
ValueCountFrequency (%)
남촌도림동 23
 
6.6%
장수서창동 15
 
4.3%
청학동 13
 
3.7%
가좌3동 13
 
3.7%
연희동 12
 
3.5%
주안동 10
 
2.9%
옥련1동 8
 
2.3%
석남3동 7
 
2.0%
동춘1동 7
 
2.0%
구월4동 6
 
1.7%
Other values (103) 233
67.1%
2024-01-28T21:59:15.130119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 340
24.7%
1 68
 
4.9%
2 55
 
4.0%
3 46
 
3.3%
남 37
 
2.7%
수 31
 
2.3%
도 29
 
2.1%
림 29
 
2.1%
서 27
 
2.0%
가 27
 
2.0%
Other values (90) 685
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1174
85.4%
Decimal Number 197
 
14.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 340
29.0%
남 37
 
3.2%
수 31
 
2.6%
도 29
 
2.5%
림 29
 
2.5%
서 27
 
2.3%
가 27
 
2.3%
산 25
 
2.1%
현 24
 
2.0%
창 23
 
2.0%
Other values (82) 582
49.6%
Decimal Number
ValueCountFrequency (%)
1 68
34.5%
2 55
27.9%
3 46
23.4%
4 21
 
10.7%
5 5
 
2.5%
8 1
 
0.5%
7 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1174
85.4%
Common 200
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 340
29.0%
남 37
 
3.2%
수 31
 
2.6%
도 29
 
2.5%
림 29
 
2.5%
서 27
 
2.3%
가 27
 
2.3%
산 25
 
2.1%
현 24
 
2.0%
창 23
 
2.0%
Other values (82) 582
49.6%
Common
ValueCountFrequency (%)
1 68
34.0%
2 55
27.5%
3 46
23.0%
4 21
 
10.5%
5 5
 
2.5%
, 3
 
1.5%
8 1
 
0.5%
7 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1174
85.4%
ASCII 200
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 340
29.0%
남 37
 
3.2%
수 31
 
2.6%
도 29
 
2.5%
림 29
 
2.5%
서 27
 
2.3%
가 27
 
2.3%
산 25
 
2.1%
현 24
 
2.0%
창 23
 
2.0%
Other values (82) 582
49.6%
ASCII
ValueCountFrequency (%)
1 68
34.0%
2 55
27.5%
3 46
23.0%
4 21
 
10.5%
5 5
 
2.5%
, 3
 
1.5%
8 1
 
0.5%
7 1
 
0.5%

시설종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
공공용
248 
정부지원
83 
지자체
 
16

Length

Max length4
Median length3
Mean length3.2391931
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공용
2nd row정부지원
3rd row정부지원
4th row공공용
5th row공공용

Common Values

ValueCountFrequency (%)
공공용 248
71.5%
정부지원 83
 
23.9%
지자체 16
 
4.6%

Length

2024-01-28T21:59:15.246432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:59:15.332714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공용 248
71.5%
정부지원 83
 
23.9%
지자체 16
 
4.6%

용도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
생활용수
266 
음용수
81 

Length

Max length4
Median length4
Mean length3.7665706
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음용수
2nd row음용수
3rd row음용수
4th row생활용수
5th row생활용수

Common Values

ValueCountFrequency (%)
생활용수 266
76.7%
음용수 81
 
23.3%

Length

2024-01-28T21:59:15.417426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:59:15.495228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활용수 266
76.7%
음용수 81
 
23.3%

개방유무
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
미개방
235 
개방
112 

Length

Max length3
Median length3
Mean length2.6772334
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미개방
2nd row미개방
3rd row미개방
4th row개방
5th row개방

Common Values

ValueCountFrequency (%)
미개방 235
67.7%
개방 112
32.3%

Length

2024-01-28T21:59:15.577963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:59:15.659452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미개방 235
67.7%
개방 112
32.3%

시설명칭
Text

Distinct340
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-01-28T21:59:15.901596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length6.7319885
Min length2

Characters and Unicode

Total characters2336
Distinct characters331
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

Unique336 ?
Unique (%)96.8%

Sample

1st row인천교육연수원
2nd row용유동주민자치센터
3rd row영종동주민센터
4th row주경씨랜드
5th row동인천스파랜드
ValueCountFrequency (%)
비상급수시설 47
 
11.5%
농축수산과 5
 
1.2%
급수시설 4
 
1.0%
㈜ 2
 
0.5%
옆 2
 
0.5%
연평면 2
 
0.5%
신태진 2
 
0.5%
아주탕 2
 
0.5%
부평초등학교 1
 
0.2%
백년셀프풍천장어직판장 1
 
0.2%
Other values (340) 340
83.3%
2024-01-28T21:59:16.280913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 82
 
3.5%
64
 
2.7%
상 62
 
2.7%
원 60
 
2.6%
시 59
 
2.5%
설 53
 
2.3%
급 51
 
2.2%
비 49
 
2.1%
공 41
 
1.8%
( 37
 
1.6%
Other values (321) 1778
76.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2141
91.7%
Space Separator 64
 
2.7%
Open Punctuation 37
 
1.6%
Close Punctuation 36
 
1.5%
Decimal Number 31
 
1.3%
Lowercase Letter 9
 
0.4%
Uppercase Letter 7
 
0.3%
Other Symbol 6
 
0.3%
Dash Punctuation 4
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 82
 
3.8%
상 62
 
2.9%
원 60
 
2.8%
시 59
 
2.8%
설 53
 
2.5%
급 51
 
2.4%
비 49
 
2.3%
공 41
 
1.9%
교 33
 
1.5%
주 32
 
1.5%
Other values (295) 1619
75.6%
Decimal Number
ValueCountFrequency (%)
2 9
29.0%
1 8
25.8%
9 5
16.1%
0 2
 
6.5%
8 2
 
6.5%
4 2
 
6.5%
3 2
 
6.5%
7 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
s 2
22.2%
w 1
 
11.1%
f 1
 
11.1%
l 1
 
11.1%
g 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
L 2
28.6%
A 1
14.3%
B 1
14.3%
K 1
14.3%
S 1
14.3%
G 1
14.3%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2147
91.9%
Common 173
 
7.4%
Latin 16
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 82
 
3.8%
상 62
 
2.9%
원 60
 
2.8%
시 59
 
2.7%
설 53
 
2.5%
급 51
 
2.4%
비 49
 
2.3%
공 41
 
1.9%
교 33
 
1.5%
주 32
 
1.5%
Other values (296) 1625
75.7%
Common
ValueCountFrequency (%)
64
37.0%
( 37
21.4%
) 36
20.8%
2 9
 
5.2%
1 8
 
4.6%
9 5
 
2.9%
- 4
 
2.3%
0 2
 
1.2%
8 2
 
1.2%
4 2
 
1.2%
Other values (3) 4
 
2.3%
Latin
ValueCountFrequency (%)
e 3
18.8%
s 2
12.5%
L 2
12.5%
A 1
 
6.2%
B 1
 
6.2%
w 1
 
6.2%
f 1
 
6.2%
l 1
 
6.2%
K 1
 
6.2%
S 1
 
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2141
91.7%
ASCII 189
 
8.1%
None 6
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 82
 
3.8%
상 62
 
2.9%
원 60
 
2.8%
시 59
 
2.8%
설 53
 
2.5%
급 51
 
2.4%
비 49
 
2.3%
공 41
 
1.9%
교 33
 
1.5%
주 32
 
1.5%
Other values (295) 1619
75.6%
ASCII
ValueCountFrequency (%)
64
33.9%
( 37
19.6%
) 36
19.0%
2 9
 
4.8%
1 8
 
4.2%
9 5
 
2.6%
- 4
 
2.1%
e 3
 
1.6%
0 2
 
1.1%
8 2
 
1.1%
Other values (15) 19
 
10.1%
None
ValueCountFrequency (%)
㈜ 6
100.0%

시설유형
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
기타
76 
상업시설
73 
목욕시설
39 
공원
33 
교육시설
32 
Other values (13)
94 

Length

Max length5
Median length4
Mean length3.3285303
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row공공기관
2nd row관공서
3rd row관공서
4th row레저시설
5th row목욕시설

Common Values

ValueCountFrequency (%)
기타 76
21.9%
상업시설 73
21.0%
목욕시설 39
11.2%
공원 33
9.5%
교육시설 32
9.2%
관공서 23
 
6.6%
공동주택 15
 
4.3%
생활권시설 11
 
3.2%
종교시설 11
 
3.2%
숙박시설 7
 
2.0%
Other values (8) 27
 
7.8%

Length

2024-01-28T21:59:16.419205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 77
22.2%
상업시설 73
21.0%
목욕시설 39
11.2%
공원 33
9.5%
교육시설 32
9.2%
관공서 23
 
6.6%
공동주택 15
 
4.3%
종교시설 11
 
3.2%
생활권시설 11
 
3.2%
숙박시설 7
 
2.0%
Other values (7) 26
 
7.5%

도로명 주소
Text

MISSING 

Distinct333
Distinct (%)97.9%
Missing7
Missing (%)2.0%
Memory size2.8 KiB
2024-01-28T21:59:16.704893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length27
Mean length15.358824
Min length3

Characters and Unicode

Total characters5222
Distinct characters208
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique326 ?
Unique (%)95.9%

Sample

1st row인천광역시 중구 영종대로277번길 74-60 (운서동, 인천광역시교육연수원)
2nd row인천광역시 중구 마시란로 266 (덕교동)
3rd row인천광역시 중구 운남서로 100 (운남동, 영종동주민센터)
4th row인천광역시 중구 서해대로464번길 7 (선화동)
5th row인천광역시 중구 홍예문로 90 (인현동, 뉴코아타운아파트)
ValueCountFrequency (%)
인천광역시 127
 
11.5%
서구 81
 
7.4%
연수구 45
 
4.1%
인천 38
 
3.5%
계양구 29
 
2.6%
가좌동 14
 
1.3%
중구 10
 
0.9%
원적로 9
 
0.8%
도림동 9
 
0.8%
석남동 8
 
0.7%
Other values (516) 730
66.4%
2024-01-28T21:59:17.153411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
782
 
15.0%
로 300
 
5.7%
1 211
 
4.0%
인 189
 
3.6%
구 186
 
3.6%
천 174
 
3.3%
동 174
 
3.3%
2 171
 
3.3%
3 132
 
2.5%
시 131
 
2.5%
Other values (198) 2772
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3017
57.8%
Decimal Number 1177
 
22.5%
Space Separator 782
 
15.0%
Open Punctuation 88
 
1.7%
Close Punctuation 88
 
1.7%
Dash Punctuation 60
 
1.1%
Other Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 300
 
9.9%
인 189
 
6.3%
구 186
 
6.2%
천 174
 
5.8%
동 174
 
5.8%
시 131
 
4.3%
광 129
 
4.3%
역 128
 
4.2%
길 113
 
3.7%
번 110
 
3.6%
Other values (182) 1383
45.8%
Decimal Number
ValueCountFrequency (%)
1 211
17.9%
2 171
14.5%
3 132
11.2%
4 119
10.1%
5 109
9.3%
6 109
9.3%
7 95
8.1%
0 79
 
6.7%
8 77
 
6.5%
9 75
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 8
80.0%
. 2
 
20.0%
Space Separator
ValueCountFrequency (%)
782
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3017
57.8%
Common 2205
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 300
 
9.9%
인 189
 
6.3%
구 186
 
6.2%
천 174
 
5.8%
동 174
 
5.8%
시 131
 
4.3%
광 129
 
4.3%
역 128
 
4.2%
길 113
 
3.7%
번 110
 
3.6%
Other values (182) 1383
45.8%
Common
ValueCountFrequency (%)
782
35.5%
1 211
 
9.6%
2 171
 
7.8%
3 132
 
6.0%
4 119
 
5.4%
5 109
 
4.9%
6 109
 
4.9%
7 95
 
4.3%
( 88
 
4.0%
) 88
 
4.0%
Other values (6) 301
 
13.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3017
57.8%
ASCII 2205
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
782
35.5%
1 211
 
9.6%
2 171
 
7.8%
3 132
 
6.0%
4 119
 
5.4%
5 109
 
4.9%
6 109
 
4.9%
7 95
 
4.3%
( 88
 
4.0%
) 88
 
4.0%
Other values (6) 301
 
13.7%
Hangul
ValueCountFrequency (%)
로 300
 
9.9%
인 189
 
6.3%
구 186
 
6.2%
천 174
 
5.8%
동 174
 
5.8%
시 131
 
4.3%
광 129
 
4.3%
역 128
 
4.2%
길 113
 
3.7%
번 110
 
3.6%
Other values (182) 1383
45.8%

지번주소
Text

Distinct341
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-01-28T21:59:17.481313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length12.002882
Min length6

Characters and Unicode

Total characters4165
Distinct characters154
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique335 ?
Unique (%)96.5%

Sample

1st row인천광역시 중구 운서동 543번지 5호
2nd row인천광역시 중구 덕교동 96번지
3rd row인천광역시 중구 운남동 1511번지
4th row인천광역시 중구 선화동 1번지 1호
5th row인천광역시 중구 인현동 3번지 2호
ValueCountFrequency (%)
인천광역시 57
 
6.4%
연수구 45
 
5.0%
인천 33
 
3.7%
계양구 31
 
3.5%
옥련동 13
 
1.4%
청학동 13
 
1.4%
중구 10
 
1.1%
가좌3동 10
 
1.1%
계산동 10
 
1.1%
산곡동 10
 
1.1%
Other values (476) 665
74.1%
2024-01-28T21:59:17.920954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
550
 
13.2%
동 335
 
8.0%
1 264
 
6.3%
- 215
 
5.2%
2 194
 
4.7%
4 162
 
3.9%
3 156
 
3.7%
5 153
 
3.7%
구 110
 
2.6%
8 107
 
2.6%
Other values (144) 1919
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2000
48.0%
Decimal Number 1387
33.3%
Space Separator 550
 
13.2%
Dash Punctuation 215
 
5.2%
Other Punctuation 5
 
0.1%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 335
 
16.8%
구 110
 
5.5%
인 97
 
4.9%
천 97
 
4.9%
수 77
 
3.9%
연 62
 
3.1%
시 58
 
2.9%
광 57
 
2.9%
로 57
 
2.9%
역 57
 
2.9%
Other values (128) 993
49.6%
Decimal Number
ValueCountFrequency (%)
1 264
19.0%
2 194
14.0%
4 162
11.7%
3 156
11.2%
5 153
11.0%
8 107
7.7%
0 92
 
6.6%
7 89
 
6.4%
6 87
 
6.3%
9 83
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
. 2
40.0%
Space Separator
ValueCountFrequency (%)
550
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 215
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2165
52.0%
Hangul 2000
48.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 335
 
16.8%
구 110
 
5.5%
인 97
 
4.9%
천 97
 
4.9%
수 77
 
3.9%
연 62
 
3.1%
시 58
 
2.9%
광 57
 
2.9%
로 57
 
2.9%
역 57
 
2.9%
Other values (128) 993
49.6%
Common
ValueCountFrequency (%)
550
25.4%
1 264
12.2%
- 215
 
9.9%
2 194
 
9.0%
4 162
 
7.5%
3 156
 
7.2%
5 153
 
7.1%
8 107
 
4.9%
0 92
 
4.2%
7 89
 
4.1%
Other values (6) 183
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2165
52.0%
Hangul 2000
48.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
550
25.4%
1 264
12.2%
- 215
 
9.9%
2 194
 
9.0%
4 162
 
7.5%
3 156
 
7.2%
5 153
 
7.1%
8 107
 
4.9%
0 92
 
4.2%
7 89
 
4.1%
Other values (6) 183
 
8.5%
Hangul
ValueCountFrequency (%)
동 335
 
16.8%
구 110
 
5.5%
인 97
 
4.9%
천 97
 
4.9%
수 77
 
3.9%
연 62
 
3.1%
시 58
 
2.9%
광 57
 
2.9%
로 57
 
2.9%
역 57
 
2.9%
Other values (128) 993
49.6%

급수용량(톤_일)
Text

Distinct87
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-01-28T21:59:18.132217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.4956772
Min length1

Characters and Unicode

Total characters866
Distinct characters11
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

Unique46 ?
Unique (%)13.3%

Sample

1st row203
2nd row72
3rd row100
4th row65
5th row130
ValueCountFrequency (%)
100 48
 
13.8%
150 25
 
7.2%
50 17
 
4.9%
72 16
 
4.6%
90 15
 
4.3%
60 14
 
4.0%
80 13
 
3.7%
200 12
 
3.5%
70 11
 
3.2%
30 10
 
2.9%
Other values (77) 166
47.8%
2024-01-28T21:59:18.477515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 304
35.1%
1 126
14.5%
5 116
 
13.4%
2 93
 
10.7%
8 54
 
6.2%
6 48
 
5.5%
3 43
 
5.0%
7 41
 
4.7%
9 22
 
2.5%
4 18
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 865
99.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 304
35.1%
1 126
14.6%
5 116
 
13.4%
2 93
 
10.8%
8 54
 
6.2%
6 48
 
5.5%
3 43
 
5.0%
7 41
 
4.7%
9 22
 
2.5%
4 18
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 866
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 304
35.1%
1 126
14.5%
5 116
 
13.4%
2 93
 
10.7%
8 54
 
6.2%
6 48
 
5.5%
3 43
 
5.0%
7 41
 
4.7%
9 22
 
2.5%
4 18
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 304
35.1%
1 126
14.5%
5 116
 
13.4%
2 93
 
10.7%
8 54
 
6.2%
6 48
 
5.5%
3 43
 
5.0%
7 41
 
4.7%
9 22
 
2.5%
4 18
 
2.1%

사용 가능인원(명)
Real number (ℝ)

Distinct106
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9638.4352
Minimum187
Maximum66125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-01-28T21:59:18.595358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum187
5-th percentile1875
Q14281
median6250
Q311111
95-th percentile27777
Maximum66125
Range65938
Interquartile range (IQR)6830

Descriptive statistics

Standard deviation8717.9925
Coefficient of variation (CV)0.9045029
Kurtosis9.6070873
Mean9638.4352
Median Absolute Deviation (MAD)3125
Skewness2.5312825
Sum3344537
Variance76003394
MonotonicityNot monotonic
2024-01-28T21:59:18.711976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11111 27
 
7.8%
6250 21
 
6.1%
3125 15
 
4.3%
4500 14
 
4.0%
5000 13
 
3.7%
3750 13
 
3.7%
9375 13
 
3.7%
16666 12
 
3.5%
5625 12
 
3.5%
4375 9
 
2.6%
Other values (96) 198
57.1%
ValueCountFrequency (%)
187 1
 
0.3%
700 1
 
0.3%
1250 6
1.7%
1562 4
1.2%
1875 7
2.0%
2000 1
 
0.3%
2187 1
 
0.3%
2222 2
 
0.6%
2375 6
1.7%
2500 2
 
0.6%
ValueCountFrequency (%)
66125 1
 
0.3%
61111 1
 
0.3%
50000 1
 
0.3%
39375 1
 
0.3%
37500 1
 
0.3%
33875 1
 
0.3%
31875 1
 
0.3%
31250 4
1.2%
30000 1
 
0.3%
29777 1
 
0.3%

Interactions

2024-01-28T21:59:13.390187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:59:12.957810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:59:13.469589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:59:13.029307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:59:18.811289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
임시연번군구시설종류용도개방유무시설유형급수용량(톤_일)사용 가능인원(명)
임시연번1.0000.9700.4450.2830.5100.6310.7220.262
군구0.9701.0000.5050.4230.7560.7860.7260.391
시설종류0.4450.5051.0000.3480.1760.8710.6970.552
용도0.2830.4230.3481.0000.5040.7030.3640.621
개방유무0.5100.7560.1760.5041.0000.5290.4640.217
시설유형0.6310.7860.8710.7030.5291.0000.6950.507
급수용량(톤_일)0.7220.7260.6970.3640.4640.6951.0000.968
사용 가능인원(명)0.2620.3910.5520.6210.2170.5070.9681.000
2024-01-28T21:59:18.928730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류용도개방유무시설유형군구
시설종류1.0000.5550.2890.6140.348
용도0.5551.0000.3370.5530.321
개방유무0.2890.3371.0000.4090.587
시설유형0.6140.5530.4091.0000.441
군구0.3480.3210.5870.4411.000
2024-01-28T21:59:19.030948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
임시연번사용 가능인원(명)군구시설종류용도개방유무시설유형
임시연번1.000-0.0680.7020.2960.2140.3880.297
사용 가능인원(명)-0.0681.0000.1980.4150.4670.1620.237
군구0.7020.1981.0000.3480.3210.5870.441
시설종류0.2960.4150.3481.0000.5550.2890.614
용도0.2140.4670.3210.5551.0000.3370.553
개방유무0.3880.1620.5870.2890.3371.0000.409
시설유형0.2970.2370.4410.6140.5530.4091.000

Missing values

2024-01-28T21:59:13.592017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:59:13.740630image/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

임시연번군구읍면동시설종류용도개방유무시설명칭시설유형도로명 주소지번주소급수용량(톤_일)사용 가능인원(명)
01중구운서동공공용음용수미개방인천교육연수원공공기관인천광역시 중구 영종대로277번길 74-60 (운서동, 인천광역시교육연수원)인천광역시 중구 운서동 543번지 5호20322555
12중구용유동정부지원음용수미개방용유동주민자치센터관공서인천광역시 중구 마시란로 266 (덕교동)인천광역시 중구 덕교동 96번지728000
23중구영종동정부지원음용수미개방영종동주민센터관공서인천광역시 중구 운남서로 100 (운남동, 영종동주민센터)인천광역시 중구 운남동 1511번지10011111
34중구신흥동공공용생활용수개방주경씨랜드레저시설인천광역시 중구 서해대로464번길 7 (선화동)인천광역시 중구 선화동 1번지 1호654062
45중구동인천동공공용생활용수개방동인천스파랜드목욕시설인천광역시 중구 홍예문로 90 (인현동, 뉴코아타운아파트)인천광역시 중구 인현동 3번지 2호1308125
56중구북성동공공용생활용수개방월미테마파크레저시설인천광역시 중구 월미문화로81(북성동1가)인천광역시 중구 북성동1가 98-580805000
67중구신흥동공공용생활용수개방새천년주유소기타인천광역시 중구 제물량로 78-6,새천년주유소(신흥동2가)인천광역시 중구 신흥동2가 15-1 새천년주유소553437
78중구운서동공공용음용수미개방국제고등학교교육시설인천광역시 중구 영종대로277번길 74-60인천광역시 중구 운서동 3077-225027777
89중구운서동공공용생활용수미개방스카이72상업시설인천광역시 중구 공항동로 392인천광역시 중구 운서동 323840325187
910중구영종1동공공용생활용수미개방스카이랜드사우나목욕시설인천광역시 중구 하늘달빛로 70인천광역시 중구 중산동 1875-12603750
임시연번군구읍면동시설종류용도개방유무시설명칭시설유형도로명 주소지번주소급수용량(톤_일)사용 가능인원(명)
337338강화군길상면공공용생활용수미개방길상면온수리2호 급수시설생활권시설<NA>길상면 온수리 678-250031250
338339강화군길상면공공용생활용수미개방길상면온수리3호 급수시설생활권시설<NA>길상면 온수리 산21-150031250
339340강화군길상면공공용생활용수미개방길상면온수리4호 급수시설생활권시설<NA>길상면 온수리 688-250031250
340341옹진군북도면정부지원음용수개방북도면 비상급수시설관공서북도면 장봉리북도면 장봉리 산 959010000
341342옹진군연평면정부지원음용수개방연평면 비상급수시설관공서연평면 중앙로연평면 중앙로 411-310011111
342343옹진군백령면정부지원음용수개방백령면 비상급수시설관공서백령면 남포리백령면 남포리 476-49010000
343344옹진군대청면정부지원음용수개방대청면 비상급수시설관공서대청리대청리 산 109-815016666
344345옹진군덕적면정부지원음용수개방덕적면 비상급수시설관공서덕적 북로인천광역시 옹진군 덕적면 130505555
345346옹진군자월면정부지원음용수개방자월면 비상급수시설관공서자월리자월리 306-210011111
346347옹진군연평면정부지원음용수개방연평면 비상급수시설관공서연평면 중앙로연평면 중앙로 411-310011111