Overview

Dataset statistics

Number of variables17
Number of observations542
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory72.1 KiB
Average record size in memory136.2 B

Variable types

Categorical13
Text4

Dataset

Description2023년 청소년수련시설 종합 평가 및 안전점검 결과를 첨부와 같이 발표합니다.- 관련근거: 청소년활동 진흥법 제18조의3 및 제19조의2- 대상: 생활권청소년수련시설(청소년수련관,문화의집,특화시설)* 해당 내용은 청소년활동정보서비스(www.youth.go.kr)에서도 확인할 수 있습니다.
Author여성가족부
URLhttps://www.data.go.kr/data/15060579/fileData.do

Alerts

전기 is highly overall correlated with 시도 and 10 other fieldsHigh correlation
위생 is highly overall correlated with 전기High correlation
시도 is highly overall correlated with 설치주체 and 1 other fieldsHigh correlation
공공_민간 is highly overall correlated with 설치주체 and 1 other fieldsHigh correlation
기계 is highly overall correlated with 전기High correlation
시설종류 is highly overall correlated with 전기High correlation
소방 is highly overall correlated with 전기High correlation
건축 is highly overall correlated with 전기High correlation
비고 is highly overall correlated with 종합평가High correlation
설치주체 is highly overall correlated with 시도 and 2 other fieldsHigh correlation
가스 is highly overall correlated with 전기High correlation
토목 is highly overall correlated with 전기High correlation
종합평가 is highly overall correlated with 전기 and 1 other fieldsHigh correlation
공공_민간 is highly imbalanced (91.2%)Imbalance
토목 is highly imbalanced (52.0%)Imbalance
기계 is highly imbalanced (55.3%)Imbalance
소방 is highly imbalanced (85.8%)Imbalance
전기 is highly imbalanced (88.9%)Imbalance
위생 is highly imbalanced (65.9%)Imbalance
비고 is highly imbalanced (91.8%)Imbalance

Reproduction

Analysis started2024-03-14 21:04:53.443214
Analysis finished2024-03-14 21:04:57.861306
Duration4.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
경기
117 
서울
64 
강원
51 
경남
37 
전북
34 
Other values (13)
239 

Length

Max length3
Median length2
Mean length2.001845
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
경기 117
21.6%
서울 64
11.8%
강원 51
9.4%
경남 37
 
6.8%
전북 34
 
6.3%
전남 33
 
6.1%
경북 33
 
6.1%
제주 27
 
5.0%
충남 26
 
4.8%
충북 22
 
4.1%
Other values (8) 98
18.1%

Length

2024-03-15T06:04:58.065984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 117
21.6%
서울 64
11.8%
강원 51
9.4%
경남 37
 
6.8%
전북 34
 
6.3%
전남 33
 
6.1%
경북 33
 
6.1%
제주 28
 
5.2%
충남 26
 
4.8%
충북 22
 
4.1%
Other values (7) 97
17.9%

시군구
Text

Distinct197
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-03-15T06:04:59.581938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9704797
Min length2

Characters and Unicode

Total characters1610
Distinct characters129
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)9.2%

Sample

1st row강남구
2nd row강남구
3rd row강남구
4th row강동구
5th row강동구
ValueCountFrequency (%)
서구 18
 
3.3%
서귀포시 14
 
2.6%
제주시 14
 
2.6%
성남시 9
 
1.7%
북구 9
 
1.7%
중구 9
 
1.7%
창원시 8
 
1.5%
시흥시 8
 
1.5%
남구 8
 
1.5%
동구 8
 
1.5%
Other values (187) 437
80.6%
2024-03-15T06:05:03.490214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 260
 
16.1%
구 159
 
9.9%
군 151
 
9.4%
주 56
 
3.5%
천 51
 
3.2%
성 46
 
2.9%
서 44
 
2.7%
양 43
 
2.7%
산 38
 
2.4%
포 36
 
2.2%
Other values (119) 726
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1610
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 260
 
16.1%
구 159
 
9.9%
군 151
 
9.4%
주 56
 
3.5%
천 51
 
3.2%
성 46
 
2.9%
서 44
 
2.7%
양 43
 
2.7%
산 38
 
2.4%
포 36
 
2.2%
Other values (119) 726
45.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1610
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 260
 
16.1%
구 159
 
9.9%
군 151
 
9.4%
주 56
 
3.5%
천 51
 
3.2%
성 46
 
2.9%
서 44
 
2.7%
양 43
 
2.7%
산 38
 
2.4%
포 36
 
2.2%
Other values (119) 726
45.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1610
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 260
 
16.1%
구 159
 
9.9%
군 151
 
9.4%
주 56
 
3.5%
천 51
 
3.2%
성 46
 
2.9%
서 44
 
2.7%
양 43
 
2.7%
산 38
 
2.4%
포 36
 
2.2%
Other values (119) 726
45.1%

읍면동
Text

Distinct487
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-03-15T06:05:05.521462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.0424354
Min length2

Characters and Unicode

Total characters1649
Distinct characters226
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

Unique437 ?
Unique (%)80.6%

Sample

1st row수서동
2nd row역삼동
3rd row청담동
4th row강일동
5th row천호동
ValueCountFrequency (%)
정왕동 3
 
0.6%
광명동 3
 
0.6%
부곡동 3
 
0.6%
서부동 3
 
0.6%
중앙동 3
 
0.6%
대명동 2
 
0.4%
고성읍 2
 
0.4%
도마동 2
 
0.4%
의성읍 2
 
0.4%
양정동 2
 
0.4%
Other values (477) 517
95.4%
2024-03-15T06:05:07.893632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 362
 
22.0%
읍 141
 
8.6%
면 52
 
3.2%
산 35
 
2.1%
성 33
 
2.0%
천 28
 
1.7%
정 25
 
1.5%
양 23
 
1.4%
부 20
 
1.2%
원 19
 
1.2%
Other values (216) 911
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1631
98.9%
Decimal Number 17
 
1.0%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 362
22.2%
읍 141
 
8.6%
면 52
 
3.2%
산 35
 
2.1%
성 33
 
2.0%
천 28
 
1.7%
정 25
 
1.5%
양 23
 
1.4%
부 20
 
1.2%
원 19
 
1.2%
Other values (211) 893
54.8%
Decimal Number
ValueCountFrequency (%)
2 5
29.4%
3 5
29.4%
1 4
23.5%
4 3
17.6%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1631
98.9%
Common 18
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 362
22.2%
읍 141
 
8.6%
면 52
 
3.2%
산 35
 
2.1%
성 33
 
2.0%
천 28
 
1.7%
정 25
 
1.5%
양 23
 
1.4%
부 20
 
1.2%
원 19
 
1.2%
Other values (211) 893
54.8%
Common
ValueCountFrequency (%)
2 5
27.8%
3 5
27.8%
1 4
22.2%
4 3
16.7%
1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1631
98.9%
ASCII 18
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 362
22.2%
읍 141
 
8.6%
면 52
 
3.2%
산 35
 
2.1%
성 33
 
2.0%
천 28
 
1.7%
정 25
 
1.5%
양 23
 
1.4%
부 20
 
1.2%
원 19
 
1.2%
Other values (211) 893
54.8%
ASCII
ValueCountFrequency (%)
2 5
27.8%
3 5
27.8%
1 4
22.2%
4 3
16.7%
1
 
5.6%

시설명
Text

Distinct533
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-03-15T06:05:09.124742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length9
Mean length9.3763838
Min length4

Characters and Unicode

Total characters5082
Distinct characters253
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique525 ?
Unique (%)96.9%

Sample

1st row수서청소년수련관
2nd row역삼청소년수련관
3rd row강남청소년수련관
4th row시립강동청소년센터
5th row천호청소년문화의집
ValueCountFrequency (%)
청소년문화의집 4
 
0.7%
중구청소년문화의집 3
 
0.5%
가평군 3
 
0.5%
부산진구 3
 
0.5%
시흥시 3
 
0.5%
청소년센터 3
 
0.5%
동구청소년문화의집 3
 
0.5%
광천청소년문화의집 2
 
0.4%
동구청소년수련관 2
 
0.4%
북구청소년문화의집 2
 
0.4%
Other values (537) 541
95.1%
2024-03-15T06:05:11.129434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 548
 
10.8%
소 541
 
10.6%
년 537
 
10.6%
화 320
 
6.3%
문 317
 
6.2%
의 288
 
5.7%
집 281
 
5.5%
수 155
 
3.0%
관 149
 
2.9%
련 140
 
2.8%
Other values (243) 1806
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5031
99.0%
Space Separator 35
 
0.7%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Decimal Number 4
 
0.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 548
 
10.9%
소 541
 
10.8%
년 537
 
10.7%
화 320
 
6.4%
문 317
 
6.3%
의 288
 
5.7%
집 281
 
5.6%
수 155
 
3.1%
관 149
 
3.0%
련 140
 
2.8%
Other values (235) 1755
34.9%
Other Punctuation
ValueCountFrequency (%)
" 2
50.0%
& 1
25.0%
· 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 3
75.0%
2 1
 
25.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5030
99.0%
Common 51
 
1.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 548
 
10.9%
소 541
 
10.8%
년 537
 
10.7%
화 320
 
6.4%
문 317
 
6.3%
의 288
 
5.7%
집 281
 
5.6%
수 155
 
3.1%
관 149
 
3.0%
련 140
 
2.8%
Other values (234) 1754
34.9%
Common
ValueCountFrequency (%)
35
68.6%
( 4
 
7.8%
) 4
 
7.8%
1 3
 
5.9%
" 2
 
3.9%
& 1
 
2.0%
· 1
 
2.0%
2 1
 
2.0%
Han
ValueCountFrequency (%)
舊 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5030
99.0%
ASCII 50
 
1.0%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 548
 
10.9%
소 541
 
10.8%
년 537
 
10.7%
화 320
 
6.4%
문 317
 
6.3%
의 288
 
5.7%
집 281
 
5.6%
수 155
 
3.1%
관 149
 
3.0%
련 140
 
2.8%
Other values (234) 1754
34.9%
ASCII
ValueCountFrequency (%)
35
70.0%
( 4
 
8.0%
) 4
 
8.0%
1 3
 
6.0%
" 2
 
4.0%
& 1
 
2.0%
2 1
 
2.0%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
舊 1
100.0%

설치주체
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
시립
265 
군립
144 
구립
98 
도립
28 
민간
 
6

Length

Max length3
Median length2
Mean length2.001845
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row시립
2nd row구립
3rd row구립
4th row시립
5th row구립

Common Values

ValueCountFrequency (%)
시립 265
48.9%
군립 144
26.6%
구립 98
 
18.1%
도립 28
 
5.2%
민간 6
 
1.1%
시립 1
 
0.2%

Length

2024-03-15T06:05:11.509432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:11.837231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시립 266
49.1%
군립 144
26.6%
구립 98
 
18.1%
도립 28
 
5.2%
민간 6
 
1.1%

시설종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
문화의집
332 
수련관
197 
특화시설
 
13

Length

Max length4
Median length4
Mean length3.6365314
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수련관
2nd row수련관
3rd row수련관
4th row수련관
5th row문화의집

Common Values

ValueCountFrequency (%)
문화의집 332
61.3%
수련관 197
36.3%
특화시설 13
 
2.4%

Length

2024-03-15T06:05:12.209865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:12.431344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화의집 332
61.3%
수련관 197
36.3%
특화시설 13
 
2.4%

공공_민간
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
공공
536 
민간
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공공 536
98.9%
민간 6
 
1.1%

Length

2024-03-15T06:05:12.777001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:13.010041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공공 536
98.9%
민간 6
 
1.1%

주소
Text

Distinct539
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-03-15T06:05:14.177654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length19.5
Min length12

Characters and Unicode

Total characters10569
Distinct characters335
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique536 ?
Unique (%)98.9%

Sample

1st row서울시 강남구 광평로 144
2nd row서울시 강남구 논현로64길 7
3rd row서울시 강남구 영동대로131길 26
4th row서울시 강동구 아리수로93길 47
5th row서울시 강동구 천중로 61
ValueCountFrequency (%)
경기도 114
 
4.5%
서울시 63
 
2.5%
강원도 51
 
2.0%
경남 36
 
1.4%
전북 34
 
1.4%
전남 32
 
1.3%
경북 32
 
1.3%
충남 26
 
1.0%
충북 22
 
0.9%
서구 18
 
0.7%
Other values (1385) 2089
83.0%
2024-03-15T06:05:16.093030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1986
 
18.8%
로 445
 
4.2%
시 423
 
4.0%
1 392
 
3.7%
2 268
 
2.5%
길 247
 
2.3%
구 241
 
2.3%
3 230
 
2.2%
도 219
 
2.1%
경 199
 
1.9%
Other values (325) 5919
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6407
60.6%
Space Separator 1986
 
18.8%
Decimal Number 1882
 
17.8%
Dash Punctuation 107
 
1.0%
Close Punctuation 81
 
0.8%
Open Punctuation 81
 
0.8%
Other Punctuation 24
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 445
 
6.9%
시 423
 
6.6%
길 247
 
3.9%
구 241
 
3.8%
도 219
 
3.4%
경 199
 
3.1%
동 159
 
2.5%
군 155
 
2.4%
남 152
 
2.4%
서 144
 
2.2%
Other values (308) 4023
62.8%
Decimal Number
ValueCountFrequency (%)
1 392
20.8%
2 268
14.2%
3 230
12.2%
4 183
9.7%
5 177
9.4%
6 155
 
8.2%
7 134
 
7.1%
0 132
 
7.0%
9 113
 
6.0%
8 98
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 21
87.5%
. 3
 
12.5%
Space Separator
ValueCountFrequency (%)
1986
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6407
60.6%
Common 4162
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 445
 
6.9%
시 423
 
6.6%
길 247
 
3.9%
구 241
 
3.8%
도 219
 
3.4%
경 199
 
3.1%
동 159
 
2.5%
군 155
 
2.4%
남 152
 
2.4%
서 144
 
2.2%
Other values (308) 4023
62.8%
Common
ValueCountFrequency (%)
1986
47.7%
1 392
 
9.4%
2 268
 
6.4%
3 230
 
5.5%
4 183
 
4.4%
5 177
 
4.3%
6 155
 
3.7%
7 134
 
3.2%
0 132
 
3.2%
9 113
 
2.7%
Other values (7) 392
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6407
60.6%
ASCII 4162
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1986
47.7%
1 392
 
9.4%
2 268
 
6.4%
3 230
 
5.5%
4 183
 
4.4%
5 177
 
4.3%
6 155
 
3.7%
7 134
 
3.2%
0 132
 
3.2%
9 113
 
2.7%
Other values (7) 392
 
9.4%
Hangul
ValueCountFrequency (%)
로 445
 
6.9%
시 423
 
6.6%
길 247
 
3.9%
구 241
 
3.8%
도 219
 
3.4%
경 199
 
3.1%
동 159
 
2.5%
군 155
 
2.4%
남 152
 
2.4%
서 144
 
2.2%
Other values (308) 4023
62.8%

종합평가
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
적정
426 
보완
69 
1년미만운영
 
31
미흡
 
16

Length

Max length6
Median length2
Mean length2.2287823
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적정
2nd row적정
3rd row적정
4th row적정
5th row1년미만운영

Common Values

ValueCountFrequency (%)
적정 426
78.6%
보완 69
 
12.7%
1년미만운영 31
 
5.7%
미흡 16
 
3.0%

Length

2024-03-15T06:05:16.392304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:16.747620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적정 426
78.6%
보완 69
 
12.7%
1년미만운영 31
 
5.7%
미흡 16
 
3.0%

건축
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
A
362 
B
152 
C
 
20
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0442804
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 362
66.8%
B 152
28.0%
C 20
 
3.7%
<NA> 8
 
1.5%

Length

2024-03-15T06:05:17.122124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:17.457419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 362
66.8%
b 152
28.0%
c 20
 
3.7%
na 8
 
1.5%

토목
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
A
394 
B
115 
C
 
24
<NA>
 
8
C
 
1

Length

Max length4
Median length1
Mean length1.0461255
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
A 394
72.7%
B 115
 
21.2%
C 24
 
4.4%
<NA> 8
 
1.5%
C 1
 
0.2%

Length

2024-03-15T06:05:17.703605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:18.044798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 394
72.7%
b 115
 
21.2%
c 25
 
4.6%
na 8
 
1.5%

기계
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
A
435 
B
86 
C
 
13
<NA>
 
8

Length

Max length4
Median length1
Mean length1.0442804
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 435
80.3%
B 86
 
15.9%
C 13
 
2.4%
<NA> 8
 
1.5%

Length

2024-03-15T06:05:18.427026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:18.762475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 435
80.3%
b 86
 
15.9%
c 13
 
2.4%
na 8
 
1.5%

소방
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
A
521 
B
 
12
<NA>
 
8
C
 
1

Length

Max length4
Median length1
Mean length1.0442804
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
A 521
96.1%
B 12
 
2.2%
<NA> 8
 
1.5%
C 1
 
0.2%

Length

2024-03-15T06:05:19.140567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:19.481088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 521
96.1%
b 12
 
2.2%
na 8
 
1.5%
c 1
 
0.2%

전기
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
적합
534 
<NA>
 
8

Length

Max length4
Median length2
Mean length2.0295203
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
적합 534
98.5%
<NA> 8
 
1.5%

Length

2024-03-15T06:05:19.860648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:20.195714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 534
98.5%
na 8
 
1.5%

가스
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
해당없음
305 
적합
228 
<NA>
 
8
해당없음
 
1

Length

Max length5
Median length4
Mean length3.1605166
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row해당없음
2nd row적합
3rd row적합
4th row적합
5th row적합

Common Values

ValueCountFrequency (%)
해당없음 305
56.3%
적합 228
42.1%
<NA> 8
 
1.5%
해당없음 1
 
0.2%

Length

2024-03-15T06:05:20.514689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:20.704330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 306
56.5%
적합 228
42.1%
na 8
 
1.5%

위생
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
해당없음
463 
적합
70 
<NA>
 
8
부적합
 
1

Length

Max length4
Median length4
Mean length3.7398524
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row적합

Common Values

ValueCountFrequency (%)
해당없음 463
85.4%
적합 70
 
12.9%
<NA> 8
 
1.5%
부적합 1
 
0.2%

Length

2024-03-15T06:05:20.915402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:21.118922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 463
85.4%
적합 70
 
12.9%
na 8
 
1.5%
부적합 1
 
0.2%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
533 
휴지
 
8
점검유예(내부 공사)
 
1

Length

Max length11
Median length4
Mean length3.9833948
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 533
98.3%
휴지 8
 
1.5%
점검유예(내부 공사) 1
 
0.2%

Length

2024-03-15T06:05:21.311146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:05:21.542127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 533
98.2%
휴지 8
 
1.5%
점검유예(내부 1
 
0.2%
공사 1
 
0.2%

Correlations

2024-03-15T06:05:21.826278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도설치주체시설종류공공_민간종합평가건축토목기계소방가스위생비고
시도1.0000.8970.3350.0000.4540.4190.0000.1460.3630.4870.2890.000
설치주체0.8971.0000.2591.0000.2650.3550.3890.1030.4330.4030.0000.000
시설종류0.3350.2591.0000.0510.1170.2730.1990.2490.0000.5510.6950.000
공공_민간0.0001.0000.0511.0000.1560.0860.6330.0120.0000.0570.0000.000
종합평가0.4540.2650.1170.1561.0000.1300.3460.1350.0470.1240.109NaN
건축0.4190.3550.2730.0860.1301.0000.2980.5950.1760.0000.173NaN
토목0.0000.3890.1990.6330.3460.2981.0000.3020.0780.0000.000NaN
기계0.1460.1030.2490.0120.1350.5950.3021.0000.3980.0000.264NaN
소방0.3630.4330.0000.0000.0470.1760.0780.3981.0000.0000.000NaN
가스0.4870.4030.5510.0570.1240.0000.0000.0000.0001.0000.427NaN
위생0.2890.0000.6950.0000.1090.1730.0000.2640.0000.4271.000NaN
비고0.0000.0000.0000.000NaNNaNNaNNaNNaNNaNNaN1.000
2024-03-15T06:05:22.203445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전기위생시도공공_민간기계시설종류소방건축비고설치주체가스토목종합평가
전기1.0001.0001.0001.0001.0001.0001.0001.000NaN1.0001.0001.0001.000
위생1.0001.0000.1360.0000.0860.3520.0000.053NaN0.0000.1610.0000.102
시도1.0000.1361.0000.0000.0650.1610.1760.2100.0000.5880.2540.0000.260
공공_민간1.0000.0000.0001.0000.0190.0840.0000.1420.0000.9960.0950.4400.103
기계1.0000.0860.0650.0191.0000.0800.1460.268NaN0.0420.0000.2900.127
시설종류1.0000.3520.1610.0840.0801.0000.0000.0900.0000.1100.2360.1890.110
소방1.0000.0000.1760.0000.1460.0001.0000.054NaN0.1980.0000.0740.044
건축1.0000.0530.2100.1420.2680.0900.0541.000NaN0.1570.0000.2860.122
비고NaNNaN0.0000.000NaN0.000NaNNaN1.0000.000NaNNaN1.000
설치주체1.0000.0000.5880.9960.0420.1100.1980.1570.0001.0000.1820.2600.173
가스1.0000.1610.2540.0950.0000.2360.0000.000NaN0.1821.0000.0000.117
토목1.0000.0000.0000.4400.2900.1890.0740.286NaN0.2600.0001.0000.141
종합평가1.0000.1020.2600.1030.1270.1100.0440.1221.0000.1730.1170.1411.000
2024-03-15T06:05:22.579859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시도설치주체시설종류공공_민간종합평가건축토목기계소방전기가스위생비고
시도1.0000.5880.1610.0000.2600.2100.0000.0650.1761.0000.2540.1360.000
설치주체0.5881.0000.1100.9960.1730.1570.2600.0420.1981.0000.1820.0000.000
시설종류0.1610.1101.0000.0840.1100.0900.1890.0800.0001.0000.2360.3520.000
공공_민간0.0000.9960.0841.0000.1030.1420.4400.0190.0001.0000.0950.0000.000
종합평가0.2600.1730.1100.1031.0000.1220.1410.1270.0441.0000.1170.1021.000
건축0.2100.1570.0900.1420.1221.0000.2860.2680.0541.0000.0000.053NaN
토목0.0000.2600.1890.4400.1410.2861.0000.2900.0741.0000.0000.000NaN
기계0.0650.0420.0800.0190.1270.2680.2901.0000.1461.0000.0000.086NaN
소방0.1760.1980.0000.0000.0440.0540.0740.1461.0001.0000.0000.000NaN
전기1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000NaN
가스0.2540.1820.2360.0950.1170.0000.0000.0000.0001.0001.0000.161NaN
위생0.1360.0000.3520.0000.1020.0530.0000.0860.0001.0000.1611.000NaN
비고0.0000.0000.0000.0001.000NaNNaNNaNNaNNaNNaNNaN1.000

Missing values

2024-03-15T06:04:56.405463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T06:04:57.582914image/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

시도시군구읍면동시설명설치주체시설종류공공_민간주소종합평가건축토목기계소방전기가스위생비고
0서울강남구수서동수서청소년수련관시립수련관공공서울시 강남구 광평로 144적정AAAA적합해당없음해당없음<NA>
1서울강남구역삼동역삼청소년수련관구립수련관공공서울시 강남구 논현로64길 7적정AAAA적합적합해당없음<NA>
2서울강남구청담동강남청소년수련관구립수련관공공서울시 강남구 영동대로131길 26적정AAAA적합적합해당없음<NA>
3서울강동구강일동시립강동청소년센터시립수련관공공서울시 강동구 아리수로93길 47적정AAAA적합적합해당없음<NA>
4서울강동구천호동천호청소년문화의집구립문화의집공공서울시 강동구 천중로 611년미만운영AAAA적합적합적합<NA>
5서울강북구수유동시립강북청소년센터시립수련관공공서울시 강북구 4.19로 74적정AAAA적합적합해당없음<NA>
6서울강서구내발산동강서청소년회관구립수련관공공서울시 강서구 공항대로42길 23-19적정BBBA적합적합해당없음<NA>
7서울강서구화곡동화곡청소년센터시립수련관공공서울시 강서구 곰달래로57가길 26적정AAAA적합적합해당없음<NA>
8서울관악구대학동관악청소년센터구립수련관공공서울시 관악구 신림로23길 17미흡BBBA적합적합적합<NA>
9서울관악구삼성동삼성산청소년센터민간수련관민간서울시 관악구 호암로 454-16보완BBBA적합적합해당없음<NA>
시도시군구읍면동시설명설치주체시설종류공공_민간주소종합평가건축토목기계소방전기가스위생비고
532제주제주시삼도일동삼도일동청소년문화의집도립문화의집공공제주특별자치도 제주시 서사로14길 16(삼도일동)적정BAAA적합해당없음해당없음<NA>
533제주제주시아라동아라청소년문화의집도립문화의집공공제주특별자치도 제주시 중앙로 585(아라1동)적정ABAA적합해당없음해당없음<NA>
534제주제주시애월읍애월청소년문화의집도립문화의집공공제주특별자치도 제주시 일주서로 6331적정AAAB적합해당없음해당없음<NA>
535제주제주시용담1동용담1청소년문화의집도립문화의집공공제주특별자치도 제주시 서문로 37-10(용담1동)적정ABAB적합해당없음해당없음<NA>
536제주제주시이도1동이도1청소년문화의집도립문화의집공공제주특별자치도 제주시 서광로 29길 17(이도1동)적정ABBA적합해당없음해당없음<NA>
537제주제주시조천읍조천청소년문화의집도립문화의집공공제주특별자치도 제주시 조천읍 신북로 194-1적정BAAA적합해당없음해당없음<NA>
538제주제주시추자면추자청소년문화의집도립문화의집공공제주특별자치도 제주시 추자면 대서6길 30적정BBBB적합해당없음해당없음<NA>
539제주제주시한림읍한림청소년문화의집도립문화의집공공제주특별자치도 제주시 한림읍 한림상로 134-8적정AAAA적합해당없음해당없음<NA>
540제주제주시화북동화북청소년문화의집도립문화의집공공제주특별자치도 제주시 진남로 59(화북1동)보완ABAC적합해당없음해당없음<NA>
541제주제주시노형동노형청소년문화의집도립문화의집공공제주특별자치도 제주시 정존11길 76(노형동)1년미만운영AAAA적합적합해당없음<NA>