Overview

Dataset statistics

Number of variables8
Number of observations26
Missing cells26
Missing cells (%)12.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory70.1 B

Variable types

Numeric1
Text6
Categorical1

Dataset

Description대전광역시 청소년수련시설 현황 15개 시설과 청소년시설 10개시설 운영현황입니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15081577/fileData.do

Alerts

비고 has constant value ""Constant
순번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 순번High correlation
운영자 has 1 (3.8%) missing valuesMissing
비고 has 25 (96.2%) missing valuesMissing
순번 has unique valuesUnique
시설명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:15:42.060267
Analysis finished2023-12-12 16:15:42.835259
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T01:15:42.897898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-13T01:15:43.021388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

시설명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T01:15:43.266081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16.5
Mean length9.8076923
Min length7

Characters and Unicode

Total characters255
Distinct characters75
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row평송청소년문화센터
2nd row대전청소년위캔센터
3rd row대덕구청소년어울림센터
4th row유성구청소년수련관
5th row청소년수련마을
ValueCountFrequency (%)
평송청소년문화센터 1
 
3.7%
도안청소년문화의집 1
 
3.7%
민족사관청소년회복지원시설(남자 1
 
3.7%
남자중장기청소년쉼터 1
 
3.7%
여자중장기청소년쉼터 1
 
3.7%
남자단기청소년쉼터 1
 
3.7%
여자단기청소년쉼터 1
 
3.7%
청소년드롭인센터 1
 
3.7%
이동일시청소년쉼터 1
 
3.7%
학교밖청소년지원센터 1
 
3.7%
Other values (17) 17
63.0%
2023-12-13T01:15:43.656414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 25
 
9.8%
소 25
 
9.8%
년 25
 
9.8%
터 12
 
4.7%
화 10
 
3.9%
문 9
 
3.5%
의 7
 
2.7%
센 7
 
2.7%
자 7
 
2.7%
집 7
 
2.7%
Other values (65) 121
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 249
97.6%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%
Space Separator 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 25
 
10.0%
소 25
 
10.0%
년 25
 
10.0%
터 12
 
4.8%
화 10
 
4.0%
문 9
 
3.6%
의 7
 
2.8%
센 7
 
2.8%
자 7
 
2.8%
집 7
 
2.8%
Other values (62) 115
46.2%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 249
97.6%
Common 6
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 25
 
10.0%
소 25
 
10.0%
년 25
 
10.0%
터 12
 
4.8%
화 10
 
4.0%
문 9
 
3.6%
의 7
 
2.8%
센 7
 
2.8%
자 7
 
2.8%
집 7
 
2.8%
Other values (62) 115
46.2%
Common
ValueCountFrequency (%)
( 2
33.3%
) 2
33.3%
2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 249
97.6%
ASCII 6
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 25
 
10.0%
소 25
 
10.0%
년 25
 
10.0%
터 12
 
4.8%
화 10
 
4.0%
문 9
 
3.6%
의 7
 
2.8%
센 7
 
2.8%
자 7
 
2.8%
집 7
 
2.8%
Other values (62) 115
46.2%
ASCII
ValueCountFrequency (%)
( 2
33.3%
) 2
33.3%
2
33.3%

소재지
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T01:15:43.903400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length19.576923
Min length16

Characters and Unicode

Total characters509
Distinct characters64
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)84.6%

Sample

1st row대전광역시 서구 둔산대로 201
2nd row대전광역시 동구 대전천동로 508
3rd row대전광역시 대덕구 쌍청당로 25
4th row대전광역시 유성구 북유성대로 158
5th row대전광역시 중구 방아미로 131
ValueCountFrequency (%)
대전광역시 26
23.2%
서구 10
 
8.9%
중구 6
 
5.4%
동구 5
 
4.5%
대전천동로 3
 
2.7%
508 3
 
2.7%
유성구 3
 
2.7%
대종로 2
 
1.8%
488번길 2
 
1.8%
9 2
 
1.8%
Other values (48) 50
44.6%
2023-12-13T01:15:44.306625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
16.9%
대 38
 
7.5%
전 29
 
5.7%
구 27
 
5.3%
광 26
 
5.1%
역 26
 
5.1%
시 26
 
5.1%
1 26
 
5.1%
로 26
 
5.1%
8 13
 
2.6%
Other values (54) 186
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
60.9%
Decimal Number 110
 
21.6%
Space Separator 86
 
16.9%
Dash Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 38
12.3%
전 29
 
9.4%
구 27
 
8.7%
광 26
 
8.4%
역 26
 
8.4%
시 26
 
8.4%
로 26
 
8.4%
번 12
 
3.9%
길 12
 
3.9%
서 10
 
3.2%
Other values (41) 78
25.2%
Decimal Number
ValueCountFrequency (%)
1 26
23.6%
8 13
11.8%
5 12
10.9%
4 11
10.0%
3 11
10.0%
0 10
 
9.1%
2 9
 
8.2%
6 7
 
6.4%
9 6
 
5.5%
7 5
 
4.5%
Space Separator
ValueCountFrequency (%)
86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 310
60.9%
Common 199
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 38
12.3%
전 29
 
9.4%
구 27
 
8.7%
광 26
 
8.4%
역 26
 
8.4%
시 26
 
8.4%
로 26
 
8.4%
번 12
 
3.9%
길 12
 
3.9%
서 10
 
3.2%
Other values (41) 78
25.2%
Common
ValueCountFrequency (%)
86
43.2%
1 26
 
13.1%
8 13
 
6.5%
5 12
 
6.0%
4 11
 
5.5%
3 11
 
5.5%
0 10
 
5.0%
2 9
 
4.5%
6 7
 
3.5%
9 6
 
3.0%
Other values (3) 8
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 310
60.9%
ASCII 199
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
43.2%
1 26
 
13.1%
8 13
 
6.5%
5 12
 
6.0%
4 11
 
5.5%
3 11
 
5.5%
0 10
 
5.0%
2 9
 
4.5%
6 7
 
3.5%
9 6
 
3.0%
Other values (3) 8
 
4.0%
Hangul
ValueCountFrequency (%)
대 38
12.3%
전 29
 
9.4%
구 27
 
8.7%
광 26
 
8.4%
역 26
 
8.4%
시 26
 
8.4%
로 26
 
8.4%
번 12
 
3.9%
길 12
 
3.9%
서 10
 
3.2%
Other values (41) 78
25.2%

규모(㎡)
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T01:15:44.516808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length4.1538462
Min length3

Characters and Unicode

Total characters108
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)84.6%

Sample

1st row45,415
2nd row5,014
3rd row17,713
4th row3,593
5th row101,812
ValueCountFrequency (%)
125 2
 
7.1%
내 2
 
7.1%
위캔센터 2
 
7.1%
304 1
 
3.6%
45,415 1
 
3.6%
5,014 1
 
3.6%
126 1
 
3.6%
288 1
 
3.6%
350 1
 
3.6%
241 1
 
3.6%
Other values (15) 15
53.6%
2023-12-13T01:15:44.921412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 19
17.6%
4 12
11.1%
2 11
10.2%
5 10
9.3%
, 9
8.3%
0 8
7.4%
3 8
7.4%
8 7
 
6.5%
9 6
 
5.6%
7 4
 
3.7%
Other values (7) 14
13.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87
80.6%
Other Letter 10
 
9.3%
Other Punctuation 9
 
8.3%
Space Separator 2
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
21.8%
4 12
13.8%
2 11
12.6%
5 10
11.5%
0 8
9.2%
3 8
9.2%
8 7
 
8.0%
9 6
 
6.9%
7 4
 
4.6%
6 2
 
2.3%
Other Letter
ValueCountFrequency (%)
내 2
20.0%
터 2
20.0%
센 2
20.0%
캔 2
20.0%
위 2
20.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98
90.7%
Hangul 10
 
9.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 19
19.4%
4 12
12.2%
2 11
11.2%
5 10
10.2%
, 9
9.2%
0 8
8.2%
3 8
8.2%
8 7
 
7.1%
9 6
 
6.1%
7 4
 
4.1%
Other values (2) 4
 
4.1%
Hangul
ValueCountFrequency (%)
내 2
20.0%
터 2
20.0%
센 2
20.0%
캔 2
20.0%
위 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98
90.7%
Hangul 10
 
9.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 19
19.4%
4 12
12.2%
2 11
11.2%
5 10
10.2%
, 9
9.2%
0 8
8.2%
3 8
8.2%
8 7
 
7.1%
9 6
 
6.1%
7 4
 
4.1%
Other values (2) 4
 
4.1%
Hangul
ValueCountFrequency (%)
내 2
20.0%
터 2
20.0%
센 2
20.0%
캔 2
20.0%
위 2
20.0%

구분
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
문화의 집
8 
청소년쉼터
6 
청소년수련관
4 
청소년수련원
3 
청소년 회복지원시설
2 
Other values (3)
3 

Length

Max length17
Median length5
Mean length6.4615385
Min length5

Unique

Unique3 ?
Unique (%)11.5%

Sample

1st row청소년수련관
2nd row청소년수련관
3rd row청소년수련관
4th row청소년수련관
5th row청소년수련원

Common Values

ValueCountFrequency (%)
문화의 집 8
30.8%
청소년쉼터 6
23.1%
청소년수련관 4
15.4%
청소년수련원 3
 
11.5%
청소년 회복지원시설 2
 
7.7%
유스호스텔한국BBS 대전충남연맹 1
 
3.8%
청소년복지지원기관 1
 
3.8%
학교밖청소년지원센터 1
 
3.8%

Length

2023-12-13T01:15:45.085217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:45.200001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화의 8
21.6%
집 8
21.6%
청소년쉼터 6
16.2%
청소년수련관 4
10.8%
청소년수련원 3
 
8.1%
청소년 2
 
5.4%
회복지원시설 2
 
5.4%
유스호스텔한국bbs 1
 
2.7%
대전충남연맹 1
 
2.7%
청소년복지지원기관 1
 
2.7%

운영자
Text

MISSING 

Distinct15
Distinct (%)60.0%
Missing1
Missing (%)3.8%
Memory size340.0 B
2023-12-13T01:15:45.436695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length9.32
Min length4

Characters and Unicode

Total characters233
Distinct characters63
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)36.0%

Sample

1st row대전광역시 시설관리공단
2nd row대전YWCA
3rd row재)대전가톨릭청소년회
4th row백석대학교
5th row대전광역시시설관리공단
ValueCountFrequency (%)
재)대한성공회유지재단 6
21.4%
재)대전가톨릭청소년회 2
 
7.1%
백석대학교 2
 
7.1%
대전대학교산학협력단 2
 
7.1%
개인운영 2
 
7.1%
대전ywca 2
 
7.1%
한국 1
 
3.6%
사)월드유스비전 1
 
3.6%
대전광역시지부 1
 
3.6%
소비자교육중앙회 1
 
3.6%
Other values (8) 8
28.6%
2023-12-13T01:15:45.800842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 20
 
8.6%
재 16
 
6.9%
단 13
 
5.6%
) 13
 
5.6%
전 11
 
4.7%
회 10
 
4.3%
공 9
 
3.9%
한 8
 
3.4%
성 7
 
3.0%
유 7
 
3.0%
Other values (53) 119
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 209
89.7%
Close Punctuation 13
 
5.6%
Uppercase Letter 8
 
3.4%
Space Separator 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 20
 
9.6%
재 16
 
7.7%
단 13
 
6.2%
전 11
 
5.3%
회 10
 
4.8%
공 9
 
4.3%
한 8
 
3.8%
성 7
 
3.3%
유 7
 
3.3%
지 7
 
3.3%
Other values (47) 101
48.3%
Uppercase Letter
ValueCountFrequency (%)
W 2
25.0%
C 2
25.0%
A 2
25.0%
Y 2
25.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 209
89.7%
Common 16
 
6.9%
Latin 8
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 20
 
9.6%
재 16
 
7.7%
단 13
 
6.2%
전 11
 
5.3%
회 10
 
4.8%
공 9
 
4.3%
한 8
 
3.8%
성 7
 
3.3%
유 7
 
3.3%
지 7
 
3.3%
Other values (47) 101
48.3%
Latin
ValueCountFrequency (%)
W 2
25.0%
C 2
25.0%
A 2
25.0%
Y 2
25.0%
Common
ValueCountFrequency (%)
) 13
81.2%
3
 
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 209
89.7%
ASCII 24
 
10.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 20
 
9.6%
재 16
 
7.7%
단 13
 
6.2%
전 11
 
5.3%
회 10
 
4.8%
공 9
 
4.3%
한 8
 
3.8%
성 7
 
3.3%
유 7
 
3.3%
지 7
 
3.3%
Other values (47) 101
48.3%
ASCII
ValueCountFrequency (%)
) 13
54.2%
3
 
12.5%
W 2
 
8.3%
C 2
 
8.3%
A 2
 
8.3%
Y 2
 
8.3%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T01:15:46.019979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters312
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

Unique26 ?
Unique (%)100.0%

Sample

1st row042-480-1622
2nd row042-222-0924
3rd row042-626-7728
4th row042-824-1318
5th row042-285-0351
ValueCountFrequency (%)
042-480-1622 1
 
3.8%
042-222-0924 1
 
3.8%
042-486-8300 1
 
3.8%
042-528-7178 1
 
3.8%
042-534-0179 1
 
3.8%
042-223-7179 1
 
3.8%
042-256-7942 1
 
3.8%
042-673-1092 1
 
3.8%
042-221-1092 1
 
3.8%
042-222-1388 1
 
3.8%
Other values (16) 16
61.5%
2023-12-13T01:15:46.387151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 71
22.8%
- 52
16.7%
0 41
13.1%
4 39
12.5%
1 23
 
7.4%
5 23
 
7.4%
8 19
 
6.1%
7 13
 
4.2%
3 13
 
4.2%
9 10
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 71
27.3%
0 41
15.8%
4 39
15.0%
1 23
 
8.8%
5 23
 
8.8%
8 19
 
7.3%
7 13
 
5.0%
3 13
 
5.0%
9 10
 
3.8%
6 8
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 71
22.8%
- 52
16.7%
0 41
13.1%
4 39
12.5%
1 23
 
7.4%
5 23
 
7.4%
8 19
 
6.1%
7 13
 
4.2%
3 13
 
4.2%
9 10
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 71
22.8%
- 52
16.7%
0 41
13.1%
4 39
12.5%
1 23
 
7.4%
5 23
 
7.4%
8 19
 
6.1%
7 13
 
4.2%
3 13
 
4.2%
9 10
 
3.2%

비고
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
2023-12-13T01:15:46.548746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters16
Distinct characters12
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

Unique1 ?
Unique (%)100.0%

Sample

1st row폐지신고(2021.1.6.~)
ValueCountFrequency (%)
폐지신고(2021.1.6 1
100.0%
2023-12-13T01:15:46.849550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3
18.8%
2 2
12.5%
1 2
12.5%
폐 1
 
6.2%
지 1
 
6.2%
신 1
 
6.2%
고 1
 
6.2%
( 1
 
6.2%
0 1
 
6.2%
6 1
 
6.2%
Other values (2) 2
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
37.5%
Other Letter 4
25.0%
Other Punctuation 3
18.8%
Open Punctuation 1
 
6.2%
Math Symbol 1
 
6.2%
Close Punctuation 1
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
0 1
16.7%
6 1
16.7%
Other Letter
ValueCountFrequency (%)
폐 1
25.0%
지 1
25.0%
신 1
25.0%
고 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12
75.0%
Hangul 4
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3
25.0%
2 2
16.7%
1 2
16.7%
( 1
 
8.3%
0 1
 
8.3%
6 1
 
8.3%
~ 1
 
8.3%
) 1
 
8.3%
Hangul
ValueCountFrequency (%)
폐 1
25.0%
지 1
25.0%
신 1
25.0%
고 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12
75.0%
Hangul 4
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3
25.0%
2 2
16.7%
1 2
16.7%
( 1
 
8.3%
0 1
 
8.3%
6 1
 
8.3%
~ 1
 
8.3%
) 1
 
8.3%
Hangul
ValueCountFrequency (%)
폐 1
25.0%
지 1
25.0%
신 1
25.0%
고 1
25.0%

Interactions

2023-12-13T01:15:42.407113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:15:46.948490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시설명소재지규모(㎡)구분운영자전화번호
순번1.0001.0001.0001.0000.8200.8761.000
시설명1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0000.9950.0001.0001.000
규모(㎡)1.0001.0000.9951.0000.0000.9881.000
구분0.8201.0000.0000.0001.0000.8711.000
운영자0.8761.0001.0000.9880.8711.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
2023-12-13T01:15:47.079008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분
순번1.0000.627
구분0.6271.000

Missing values

2023-12-13T01:15:42.527494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:15:42.689432image/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.
2023-12-13T01:15:42.789721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번시설명소재지규모(㎡)구분운영자전화번호비고
01평송청소년문화센터대전광역시 서구 둔산대로 20145,415청소년수련관대전광역시 시설관리공단042-480-1622<NA>
12대전청소년위캔센터대전광역시 동구 대전천동로 5085,014청소년수련관대전YWCA042-222-0924<NA>
23대덕구청소년어울림센터대전광역시 대덕구 쌍청당로 2517,713청소년수련관재)대전가톨릭청소년회042-626-7728<NA>
34유성구청소년수련관대전광역시 유성구 북유성대로 1583,593청소년수련관백석대학교042-824-1318<NA>
45청소년수련마을대전광역시 중구 방아미로 131101,812청소년수련원대전광역시시설관리공단042-285-0351<NA>
56동구청소년자연수련원대전광역시 동구 산내로474번길 12348,634청소년수련원사)청소년육성연맹042-274-2270<NA>
67살레시오 청소년수련원대전광역시 서구 구봉로 458-117,991청소년수련원재)한국천주교살레시오회042-584-0654폐지신고(2021.1.6.~)
78유성유스호스텔대전광역시 유성구 학하중앙로 684,851유스호스텔한국BBS 대전충남연맹<NA>042-822-9591<NA>
89대흥동청소년문화의집대전광역시 중구 대흥로 128424문화의 집대전YWCA042-224-1318<NA>
910도솔청소년문화의집대전광역시 서구 배재로197번길 411,329문화의 집사)대전흥사단042-525-1913<NA>
순번시설명소재지규모(㎡)구분운영자전화번호비고
1617청소년상담복지센터대전광역시 동구 대전천동로 508 6층위캔센터 내청소년복지지원기관대전대학교산학협력단042-257-2000<NA>
1718학교밖청소년지원센터대전광역시 동구 대전천동로 508 6층위캔센터 내학교밖청소년지원센터대전대학교산학협력단042-222-1388<NA>
1819이동일시청소년쉼터대전광역시 중구 대둔산로 419-4 701호110청소년쉼터재)대한성공회유지재단042-221-1092<NA>
1920청소년드롭인센터대전광역시 동구 우암로 159 503호241청소년쉼터재)대한성공회유지재단042-673-1092<NA>
2021여자단기청소년쉼터대전광역시 중구 대종로 488번길 9350청소년쉼터재)대한성공회유지재단042-256-7942<NA>
2122남자단기청소년쉼터대전광역시 중구 대종로 488번길 9288청소년쉼터재)대한성공회유지재단042-223-7179<NA>
2223여자중장기청소년쉼터대전광역시 서구 도솔로 251번길126청소년쉼터재)대한성공회유지재단042-534-0179<NA>
2324남자중장기청소년쉼터대전광역시 서구 계룡로 342번길 108, 4층125청소년쉼터재)대한성공회유지재단042-528-7178<NA>
2425민족사관청소년회복지원시설(남자)대전광역시 서구 문정로170번길 111125청소년 회복지원시설개인운영042-486-8300<NA>
2526사계절청소년회복지원시설(여자)대전광역시 중구 태평로93번길 26198청소년 회복지원시설개인운영042-525-2270<NA>