Overview

Dataset statistics

Number of variables11
Number of observations36
Missing cells12
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory94.7 B

Variable types

Numeric3
Categorical2
Text6

Dataset

Description대전광역시 시설관리공단(유성구 엑스포로 623)에서 관리 운영하고 환경시설, 체육시설, 장사/복지시설, 도시기반시설, 청소년시설에 대한 현황정보(순번,시설구분,시설명, 준공연도, 인수연도,주소,이용시간,전화번호,휴장일,주요시설물,관리부서) 제공
URLhttps://www.data.go.kr/data/15005330/fileData.do

Alerts

순번 is highly overall correlated with 시설구분High correlation
준공연도 is highly overall correlated with 인수연도High correlation
인수연도 is highly overall correlated with 준공연도High correlation
시설구분 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
관리부서 is highly overall correlated with 시설구분High correlation
이용시간 has 1 (2.8%) missing valuesMissing
전화번호 has 1 (2.8%) missing valuesMissing
휴장일 has 10 (27.8%) missing valuesMissing
순번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:39:48.584977
Analysis finished2023-12-12 20:39:50.312811
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T05:39:50.381094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2023-12-13T05:39:50.536051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

시설구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
체육시설
23 
복지시설
5 
환경시설
5 
기반시설
3 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
체육시설 23
63.9%
복지시설 5
 
13.9%
환경시설 5
 
13.9%
기반시설 3
 
8.3%

Length

2023-12-13T05:39:50.697844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:39:50.826822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육시설 23
63.9%
복지시설 5
 
13.9%
환경시설 5
 
13.9%
기반시설 3
 
8.3%

시설명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T05:39:51.064819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9.5
Mean length7.3333333
Min length3

Characters and Unicode

Total characters264
Distinct characters108
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

Unique36 ?
Unique (%)100.0%

Sample

1st row한밭종합운동장
2nd row한밭수영장
3rd row사정인라인스케이트장
4th row직장운동경기부 선수 숙소
5th row월평사이클경기장
ValueCountFrequency (%)
한밭종합운동장 1
 
2.3%
한밭수영장 1
 
2.3%
복합문화체육센터 1
 
2.3%
주차빌딩 1
 
2.3%
정수원 1
 
2.3%
추모공원 1
 
2.3%
무지개복지공장 1
 
2.3%
기성종합복지관 1
 
2.3%
대전하수처리장 1
 
2.3%
역전지하도상가 1
 
2.3%
Other values (34) 34
77.3%
2023-12-13T05:39:51.603811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 23
 
8.7%
인 8
 
3.0%
8
 
3.0%
수 8
 
3.0%
지 7
 
2.7%
체 6
 
2.3%
육 6
 
2.3%
시 5
 
1.9%
복 5
 
1.9%
사 5
 
1.9%
Other values (98) 183
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 249
94.3%
Space Separator 8
 
3.0%
Decimal Number 7
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 23
 
9.2%
인 8
 
3.2%
수 8
 
3.2%
지 7
 
2.8%
체 6
 
2.4%
육 6
 
2.4%
시 5
 
2.0%
복 5
 
2.0%
사 5
 
2.0%
기 4
 
1.6%
Other values (93) 172
69.1%
Decimal Number
ValueCountFrequency (%)
3 2
28.6%
2 2
28.6%
1 2
28.6%
4 1
14.3%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 249
94.3%
Common 15
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 23
 
9.2%
인 8
 
3.2%
수 8
 
3.2%
지 7
 
2.8%
체 6
 
2.4%
육 6
 
2.4%
시 5
 
2.0%
복 5
 
2.0%
사 5
 
2.0%
기 4
 
1.6%
Other values (93) 172
69.1%
Common
ValueCountFrequency (%)
8
53.3%
3 2
 
13.3%
2 2
 
13.3%
1 2
 
13.3%
4 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 249
94.3%
ASCII 15
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 23
 
9.2%
인 8
 
3.2%
수 8
 
3.2%
지 7
 
2.8%
체 6
 
2.4%
육 6
 
2.4%
시 5
 
2.0%
복 5
 
2.0%
사 5
 
2.0%
기 4
 
1.6%
Other values (93) 172
69.1%
ASCII
ValueCountFrequency (%)
8
53.3%
3 2
 
13.3%
2 2
 
13.3%
1 2
 
13.3%
4 1
 
6.7%

준공연도
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2005.8056
Minimum1970
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T05:39:51.806439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1970
5-th percentile1979.75
Q11996.5
median2009
Q32014.75
95-th percentile2021
Maximum2022
Range52
Interquartile range (IQR)18.25

Descriptive statistics

Standard deviation13.177512
Coefficient of variation (CV)0.0065696857
Kurtosis0.54992133
Mean2005.8056
Median Absolute Deviation (MAD)9
Skewness-0.9981574
Sum72209
Variance173.64683
MonotonicityNot monotonic
2023-12-13T05:39:52.027692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2009 5
13.9%
2020 4
 
11.1%
2011 3
 
8.3%
1994 3
 
8.3%
2000 2
 
5.6%
2010 2
 
5.6%
2021 2
 
5.6%
2017 2
 
5.6%
1970 1
 
2.8%
1981 1
 
2.8%
Other values (11) 11
30.6%
ValueCountFrequency (%)
1970 1
 
2.8%
1976 1
 
2.8%
1981 1
 
2.8%
1989 1
 
2.8%
1991 1
 
2.8%
1994 3
8.3%
1995 1
 
2.8%
1997 1
 
2.8%
2000 2
5.6%
2005 1
 
2.8%
ValueCountFrequency (%)
2022 1
 
2.8%
2021 2
 
5.6%
2020 4
11.1%
2017 2
 
5.6%
2014 1
 
2.8%
2013 1
 
2.8%
2012 1
 
2.8%
2011 3
8.3%
2010 2
 
5.6%
2009 5
13.9%

인수연도
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.75
Minimum2001
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T05:39:52.214365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2001
Q12004
median2011.5
Q32021
95-th percentile2022
Maximum2022
Range21
Interquartile range (IQR)17

Descriptive statistics

Standard deviation8.0971776
Coefficient of variation (CV)0.0040249423
Kurtosis-1.629609
Mean2011.75
Median Absolute Deviation (MAD)8.5
Skewness-0.054897164
Sum72423
Variance65.564286
MonotonicityNot monotonic
2023-12-13T05:39:52.385994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2021 7
19.4%
2001 7
19.4%
2004 5
13.9%
2022 3
8.3%
2020 2
 
5.6%
2016 2
 
5.6%
2009 2
 
5.6%
2010 2
 
5.6%
2012 2
 
5.6%
2014 1
 
2.8%
Other values (3) 3
8.3%
ValueCountFrequency (%)
2001 7
19.4%
2004 5
13.9%
2006 1
 
2.8%
2009 2
 
5.6%
2010 2
 
5.6%
2011 1
 
2.8%
2012 2
 
5.6%
2014 1
 
2.8%
2016 2
 
5.6%
2018 1
 
2.8%
ValueCountFrequency (%)
2022 3
8.3%
2021 7
19.4%
2020 2
 
5.6%
2018 1
 
2.8%
2016 2
 
5.6%
2014 1
 
2.8%
2012 2
 
5.6%
2011 1
 
2.8%
2010 2
 
5.6%
2009 2
 
5.6%

주소
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T05:39:52.681095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length19.666667
Min length15

Characters and Unicode

Total characters708
Distinct characters86
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)88.9%

Sample

1st row대전광역시 중구 대종로 373
2nd row대전광역시 중구 대종로 373
3rd row대전광역시 중구 사정공원로 160
4th row대전광역시 동구 옻밭5길 175
5th row대전광역시 서구 신갈마로 55-3
ValueCountFrequency (%)
대전광역시 36
23.1%
유성구 12
 
7.7%
서구 8
 
5.1%
중구 8
 
5.1%
동구 4
 
2.6%
일원 4
 
2.6%
대덕구 4
 
2.6%
엑스포로 3
 
1.9%
326 2
 
1.3%
탑립동 2
 
1.3%
Other values (68) 73
46.8%
2023-12-13T05:39:53.184214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
16.9%
대 50
 
7.1%
구 37
 
5.2%
광 36
 
5.1%
역 36
 
5.1%
시 36
 
5.1%
전 36
 
5.1%
로 26
 
3.7%
1 22
 
3.1%
동 17
 
2.4%
Other values (76) 292
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
63.0%
Decimal Number 126
 
17.8%
Space Separator 120
 
16.9%
Dash Punctuation 5
 
0.7%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Other Punctuation 3
 
0.4%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 50
 
11.2%
구 37
 
8.3%
광 36
 
8.1%
역 36
 
8.1%
시 36
 
8.1%
전 36
 
8.1%
로 26
 
5.8%
동 17
 
3.8%
유 14
 
3.1%
성 13
 
2.9%
Other values (58) 145
32.5%
Decimal Number
ValueCountFrequency (%)
1 22
17.5%
6 15
11.9%
2 14
11.1%
5 14
11.1%
3 13
10.3%
0 13
10.3%
7 13
10.3%
4 11
8.7%
9 7
 
5.6%
8 4
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
63.0%
Common 260
36.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 50
 
11.2%
구 37
 
8.3%
광 36
 
8.1%
역 36
 
8.1%
시 36
 
8.1%
전 36
 
8.1%
로 26
 
5.8%
동 17
 
3.8%
유 14
 
3.1%
성 13
 
2.9%
Other values (58) 145
32.5%
Common
ValueCountFrequency (%)
120
46.2%
1 22
 
8.5%
6 15
 
5.8%
2 14
 
5.4%
5 14
 
5.4%
3 13
 
5.0%
0 13
 
5.0%
7 13
 
5.0%
4 11
 
4.2%
9 7
 
2.7%
Other values (6) 18
 
6.9%
Latin
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
63.0%
ASCII 262
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
45.8%
1 22
 
8.4%
6 15
 
5.7%
2 14
 
5.3%
5 14
 
5.3%
3 13
 
5.0%
0 13
 
5.0%
7 13
 
5.0%
4 11
 
4.2%
9 7
 
2.7%
Other values (8) 20
 
7.6%
Hangul
ValueCountFrequency (%)
대 50
 
11.2%
구 37
 
8.3%
광 36
 
8.1%
역 36
 
8.1%
시 36
 
8.1%
전 36
 
8.1%
로 26
 
5.8%
동 17
 
3.8%
유 14
 
3.1%
성 13
 
2.9%
Other values (58) 145
32.5%

이용시간
Text

MISSING 

Distinct20
Distinct (%)57.1%
Missing1
Missing (%)2.8%
Memory size420.0 B
2023-12-13T05:39:53.407374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length38
Mean length22.285714
Min length8

Characters and Unicode

Total characters780
Distinct characters47
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)42.9%

Sample

1st row9시 - 18시
2nd row평일 6시 - 21시, 주말 및 공휴일 6시 - 18시
3rd row9시 - 18시
4th row9시 - 18시
5th row평일 : 9시 - 18시(10월-3월), 9시 - 20시(4월-9월), 주말 및 공휴일 : 9시 - 18시
ValueCountFrequency (%)
56
29.9%
9시 21
 
11.2%
18시 17
 
9.1%
6시 11
 
5.9%
7시 10
 
5.3%
21시 7
 
3.7%
공휴일 7
 
3.7%
및 6
 
3.2%
평일 5
 
2.7%
17시(11월~3월 4
 
2.1%
Other values (29) 43
23.0%
2023-12-13T05:39:53.780496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
152
19.5%
시 110
14.1%
1 72
 
9.2%
- 49
 
6.3%
월 45
 
5.8%
2 33
 
4.2%
9 30
 
3.8%
~ 28
 
3.6%
( 25
 
3.2%
) 25
 
3.2%
Other values (37) 211
27.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
29.9%
Decimal Number 233
29.9%
Space Separator 152
19.5%
Dash Punctuation 49
 
6.3%
Other Punctuation 35
 
4.5%
Math Symbol 28
 
3.6%
Open Punctuation 25
 
3.2%
Close Punctuation 25
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 110
47.2%
월 45
19.3%
일 18
 
7.7%
휴 9
 
3.9%
공 9
 
3.9%
평 7
 
3.0%
및 6
 
2.6%
말 4
 
1.7%
주 4
 
1.7%
토 2
 
0.9%
Other values (17) 19
 
8.2%
Decimal Number
ValueCountFrequency (%)
1 72
30.9%
2 33
14.2%
9 30
12.9%
8 22
 
9.4%
7 20
 
8.6%
3 14
 
6.0%
6 13
 
5.6%
0 12
 
5.2%
4 12
 
5.2%
5 5
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 16
45.7%
: 15
42.9%
. 2
 
5.7%
· 1
 
2.9%
/ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 547
70.1%
Hangul 233
29.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 110
47.2%
월 45
19.3%
일 18
 
7.7%
휴 9
 
3.9%
공 9
 
3.9%
평 7
 
3.0%
및 6
 
2.6%
말 4
 
1.7%
주 4
 
1.7%
토 2
 
0.9%
Other values (17) 19
 
8.2%
Common
ValueCountFrequency (%)
152
27.8%
1 72
13.2%
- 49
 
9.0%
2 33
 
6.0%
9 30
 
5.5%
~ 28
 
5.1%
( 25
 
4.6%
) 25
 
4.6%
8 22
 
4.0%
7 20
 
3.7%
Other values (10) 91
16.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 546
70.0%
Hangul 233
29.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
152
27.8%
1 72
13.2%
- 49
 
9.0%
2 33
 
6.0%
9 30
 
5.5%
~ 28
 
5.1%
( 25
 
4.6%
) 25
 
4.6%
8 22
 
4.0%
7 20
 
3.7%
Other values (9) 90
16.5%
Hangul
ValueCountFrequency (%)
시 110
47.2%
월 45
19.3%
일 18
 
7.7%
휴 9
 
3.9%
공 9
 
3.9%
평 7
 
3.0%
및 6
 
2.6%
말 4
 
1.7%
주 4
 
1.7%
토 2
 
0.9%
Other values (17) 19
 
8.2%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct29
Distinct (%)82.9%
Missing1
Missing (%)2.8%
Memory size420.0 B
2023-12-13T05:39:54.028929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.914286
Min length9

Characters and Unicode

Total characters417
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

Unique28 ?
Unique (%)80.0%

Sample

1st row042-724-3212
2nd row042-724-3300
3rd row042-724-3265
4th row042-724-4300
5th row042-724-3260
ValueCountFrequency (%)
042-724-3231 7
 
20.0%
042-724-3218 1
 
2.9%
042-724-4102 1
 
2.9%
1899-2822 1
 
2.9%
042-482-2182 1
 
2.9%
042-623-3595 1
 
2.9%
042-273-9623 1
 
2.9%
042-586-3740 1
 
2.9%
042-610-2874 1
 
2.9%
042-610-2800 1
 
2.9%
Other values (19) 19
54.3%
2023-12-13T05:39:54.496560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 85
20.4%
- 69
16.5%
4 65
15.6%
0 63
15.1%
3 40
9.6%
7 27
 
6.5%
1 21
 
5.0%
5 16
 
3.8%
6 12
 
2.9%
8 12
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 348
83.5%
Dash Punctuation 69
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 85
24.4%
4 65
18.7%
0 63
18.1%
3 40
11.5%
7 27
 
7.8%
1 21
 
6.0%
5 16
 
4.6%
6 12
 
3.4%
8 12
 
3.4%
9 7
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 417
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 85
20.4%
- 69
16.5%
4 65
15.6%
0 63
15.1%
3 40
9.6%
7 27
 
6.5%
1 21
 
5.0%
5 16
 
3.8%
6 12
 
2.9%
8 12
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 417
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 85
20.4%
- 69
16.5%
4 65
15.6%
0 63
15.1%
3 40
9.6%
7 27
 
6.5%
1 21
 
5.0%
5 16
 
3.8%
6 12
 
2.9%
8 12
 
2.9%

휴장일
Text

MISSING 

Distinct16
Distinct (%)61.5%
Missing10
Missing (%)27.8%
Memory size420.0 B
2023-12-13T05:39:54.761487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length22.461538
Min length4

Characters and Unicode

Total characters584
Distinct characters37
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)46.2%

Sample

1st row연중무휴
2nd row매월 첫번째, 셋번째, 다섯번째 일요일 신정, 설·추석연휴, 성탄절, 석가탄신일, 선거일
3rd row매주 월요일, 신정, 설·추석연휴, 석가탄신일, 성탄절, 선거일
4th row매주 월요일, 신정,설·추석연휴, 석가탄신일, 성탄절, 선거일
5th row매주월요일, 신정, 설·추석연휴, 석가탄신일, 성탄절, 선거일
ValueCountFrequency (%)
성탄절 13
11.0%
선거일 13
11.0%
석가탄신일 12
 
10.2%
신정 11
 
9.3%
연중무휴 8
 
6.8%
매주 8
 
6.8%
설·추석연휴 7
 
5.9%
일요일 6
 
5.1%
월요일 6
 
5.1%
신정,설·추석연휴 4
 
3.4%
Other values (21) 30
25.4%
2023-12-13T05:39:55.191166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
92
15.8%
, 75
 
12.8%
일 47
 
8.0%
신 30
 
5.1%
석 29
 
5.0%
탄 27
 
4.6%
연 24
 
4.1%
휴 24
 
4.1%
정 16
 
2.7%
설 16
 
2.7%
Other values (27) 204
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
68.8%
Space Separator 92
 
15.8%
Other Punctuation 90
 
15.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 47
 
11.7%
신 30
 
7.5%
석 29
 
7.2%
탄 27
 
6.7%
연 24
 
6.0%
휴 24
 
6.0%
정 16
 
4.0%
설 16
 
4.0%
추 16
 
4.0%
주 15
 
3.7%
Other values (24) 158
39.3%
Other Punctuation
ValueCountFrequency (%)
, 75
83.3%
· 15
 
16.7%
Space Separator
ValueCountFrequency (%)
92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
68.8%
Common 182
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 47
 
11.7%
신 30
 
7.5%
석 29
 
7.2%
탄 27
 
6.7%
연 24
 
6.0%
휴 24
 
6.0%
정 16
 
4.0%
설 16
 
4.0%
추 16
 
4.0%
주 15
 
3.7%
Other values (24) 158
39.3%
Common
ValueCountFrequency (%)
92
50.5%
, 75
41.2%
· 15
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
68.8%
ASCII 167
28.6%
None 15
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
92
55.1%
, 75
44.9%
Hangul
ValueCountFrequency (%)
일 47
 
11.7%
신 30
 
7.5%
석 29
 
7.2%
탄 27
 
6.7%
연 24
 
6.0%
휴 24
 
6.0%
정 16
 
4.0%
설 16
 
4.0%
추 16
 
4.0%
주 15
 
3.7%
Other values (24) 158
39.3%
None
ValueCountFrequency (%)
· 15
100.0%

주요시설물
Text

Distinct34
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T05:39:55.482642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length118
Median length54
Mean length32.944444
Min length8

Characters and Unicode

Total characters1186
Distinct characters223
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)88.9%

Sample

1st row충무체육관, 한밭체육관, 한밭수영장, 한밭게이트볼장, 체육회관, 기타부속시설
2nd row지하1층~지상3층 건물, 수용인원 1,000명,
3rd row인라인스케이트장
4th row지하1층 ~ 지상 4층 건물, 수용인원 108명
5th row사이클경기장(벨로드롬 경기용), 주차장
ValueCountFrequency (%)
등 22
 
9.4%
건물 6
 
2.6%
지하1층 6
 
2.6%
클럽하우스 5
 
2.1%
5
 
2.1%
주차장 4
 
1.7%
화장실 4
 
1.7%
1면 4
 
1.7%
2면 3
 
1.3%
체력단련실 3
 
1.3%
Other values (147) 172
73.5%
2023-12-13T05:39:56.005929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
199
 
16.8%
, 120
 
10.1%
장 50
 
4.2%
1 30
 
2.5%
등 22
 
1.9%
실 21
 
1.8%
지 20
 
1.7%
0 19
 
1.6%
스 16
 
1.3%
층 15
 
1.3%
Other values (213) 674
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 729
61.5%
Space Separator 199
 
16.8%
Other Punctuation 125
 
10.5%
Decimal Number 87
 
7.3%
Close Punctuation 12
 
1.0%
Open Punctuation 12
 
1.0%
Math Symbol 9
 
0.8%
Uppercase Letter 6
 
0.5%
Lowercase Letter 4
 
0.3%
Other Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 50
 
6.9%
등 22
 
3.0%
실 21
 
2.9%
지 20
 
2.7%
스 16
 
2.2%
층 15
 
2.1%
관 14
 
1.9%
수 13
 
1.8%
하 13
 
1.8%
체 11
 
1.5%
Other values (185) 534
73.3%
Decimal Number
ValueCountFrequency (%)
1 30
34.5%
0 19
21.8%
2 12
 
13.8%
3 8
 
9.2%
4 5
 
5.7%
5 4
 
4.6%
6 4
 
4.6%
8 4
 
4.6%
9 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
N 1
16.7%
R 1
16.7%
X 1
16.7%
G 1
16.7%
B 1
16.7%
A 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 120
96.0%
/ 2
 
1.6%
: 2
 
1.6%
※ 1
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
m 1
25.0%
w 1
25.0%
Space Separator
ValueCountFrequency (%)
199
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 729
61.5%
Common 447
37.7%
Latin 10
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 50
 
6.9%
등 22
 
3.0%
실 21
 
2.9%
지 20
 
2.7%
스 16
 
2.2%
층 15
 
2.1%
관 14
 
1.9%
수 13
 
1.8%
하 13
 
1.8%
체 11
 
1.5%
Other values (185) 534
73.3%
Common
ValueCountFrequency (%)
199
44.5%
, 120
26.8%
1 30
 
6.7%
0 19
 
4.3%
) 12
 
2.7%
2 12
 
2.7%
( 12
 
2.7%
~ 9
 
2.0%
3 8
 
1.8%
4 5
 
1.1%
Other values (9) 21
 
4.7%
Latin
ValueCountFrequency (%)
e 2
20.0%
m 1
10.0%
w 1
10.0%
N 1
10.0%
R 1
10.0%
X 1
10.0%
G 1
10.0%
B 1
10.0%
A 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 729
61.5%
ASCII 454
38.3%
CJK Compat 2
 
0.2%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
199
43.8%
, 120
26.4%
1 30
 
6.6%
0 19
 
4.2%
) 12
 
2.6%
2 12
 
2.6%
( 12
 
2.6%
~ 9
 
2.0%
3 8
 
1.8%
4 5
 
1.1%
Other values (16) 28
 
6.2%
Hangul
ValueCountFrequency (%)
장 50
 
6.9%
등 22
 
3.0%
실 21
 
2.9%
지 20
 
2.7%
스 16
 
2.2%
층 15
 
2.1%
관 14
 
1.9%
수 13
 
1.8%
하 13
 
1.8%
체 11
 
1.5%
Other values (185) 534
73.3%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

관리부서
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size420.0 B
체육시설관리팀
8 
체육시설사업팀
6 
복용승마장운영팀
5 
기성종합복지관
2 
하수시설팀
2 
Other values (11)
13 

Length

Max length8
Median length7.5
Mean length6.6388889
Min length5

Unique

Unique9 ?
Unique (%)25.0%

Sample

1st row체육시설사업팀
2nd row한밭수영장관리팀
3rd row체육시설사업팀
4th row체육시설관리팀
5th row체육시설사업팀

Common Values

ValueCountFrequency (%)
체육시설관리팀 8
22.2%
체육시설사업팀 6
16.7%
복용승마장운영팀 5
13.9%
기성종합복지관 2
 
5.6%
하수시설팀 2
 
5.6%
위생관리팀 2
 
5.6%
기반시설팀 2
 
5.6%
한밭수영장관리팀 1
 
2.8%
용운스포츠센터 1
 
2.8%
국민생활관 1
 
2.8%
Other values (6) 6
16.7%

Length

2023-12-13T05:39:56.167382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
체육시설관리팀 8
22.2%
체육시설사업팀 6
16.7%
복용승마장운영팀 5
13.9%
기성종합복지관 2
 
5.6%
하수시설팀 2
 
5.6%
위생관리팀 2
 
5.6%
기반시설팀 2
 
5.6%
한밭수영장관리팀 1
 
2.8%
용운스포츠센터 1
 
2.8%
국민생활관 1
 
2.8%
Other values (6) 6
16.7%

Interactions

2023-12-13T05:39:49.698730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:39:49.176595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:39:49.429561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:39:49.776078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:39:49.258216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:39:49.518333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:39:49.848543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:39:49.349966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:39:49.608539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:39:56.266468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시설구분시설명준공연도인수연도주소이용시간전화번호휴장일주요시설물관리부서
순번1.0000.8741.0000.1600.7630.9620.8930.8920.8680.8290.799
시설구분0.8741.0001.0000.5990.5930.9060.9651.0001.0001.0000.999
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
준공연도0.1600.5991.0001.0000.8380.0000.0000.9560.6910.9470.801
인수연도0.7630.5931.0000.8381.0001.0000.8661.0000.9971.0000.772
주소0.9620.9061.0000.0001.0001.0000.9660.8910.9590.9750.967
이용시간0.8930.9651.0000.0000.8660.9661.0000.9890.9710.9930.839
전화번호0.8921.0001.0000.9561.0000.8910.9891.0001.0001.0001.000
휴장일0.8681.0001.0000.6910.9970.9590.9711.0001.0001.0000.950
주요시설물0.8291.0001.0000.9471.0000.9750.9931.0001.0001.0001.000
관리부서0.7990.9991.0000.8010.7720.9670.8391.0000.9501.0001.000
2023-12-13T05:39:56.412023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분관리부서
시설구분1.0000.762
관리부서0.7621.000
2023-12-13T05:39:56.529428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번준공연도인수연도시설구분관리부서
순번1.000-0.110-0.2430.7260.453
준공연도-0.1101.0000.6960.3580.346
인수연도-0.2430.6961.0000.2450.357
시설구분0.7260.3580.2451.0000.762
관리부서0.4530.3460.3570.7621.000

Missing values

2023-12-13T05:39:49.980087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:39:50.132087image/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.
2023-12-13T05:39:50.243543image/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

순번시설구분시설명준공연도인수연도주소이용시간전화번호휴장일주요시설물관리부서
01체육시설한밭종합운동장19702004대전광역시 중구 대종로 3739시 - 18시042-724-3212연중무휴충무체육관, 한밭체육관, 한밭수영장, 한밭게이트볼장, 체육회관, 기타부속시설체육시설사업팀
12체육시설한밭수영장19942004대전광역시 중구 대종로 373평일 6시 - 21시, 주말 및 공휴일 6시 - 18시042-724-3300매월 첫번째, 셋번째, 다섯번째 일요일 신정, 설·추석연휴, 성탄절, 석가탄신일, 선거일지하1층~지상3층 건물, 수용인원 1,000명,한밭수영장관리팀
23체육시설사정인라인스케이트장19942004대전광역시 중구 사정공원로 1609시 - 18시042-724-3265매주 월요일, 신정, 설·추석연휴, 석가탄신일, 성탄절, 선거일인라인스케이트장체육시설사업팀
34체육시설직장운동경기부 선수 숙소20202020대전광역시 동구 옻밭5길 1759시 - 18시042-724-4300<NA>지하1층 ~ 지상 4층 건물, 수용인원 108명체육시설관리팀
45체육시설월평사이클경기장19942004대전광역시 서구 신갈마로 55-3평일 : 9시 - 18시(10월-3월), 9시 - 20시(4월-9월), 주말 및 공휴일 : 9시 - 18시042-724-3260매주 월요일, 신정,설·추석연휴, 석가탄신일, 성탄절, 선거일사이클경기장(벨로드롬 경기용), 주차장체육시설사업팀
56체육시설한마음생활체육관19972016대전광역시 중구 유등천동로 420평일 및 공휴일 : 6시 - 22시042-536-5507매주월요일, 신정, 설·추석연휴, 석가탄신일, 성탄절, 선거일지하1층 ~ 지상2층 건물, 탁구장, 프로그램실, 배드민턴장, 매점, 안내접수실, 체력단련실, 사무실, 창고 등체육시설사업팀
67체육시설파크골프장120102021대전광역시 유성구 탑립동 184-4 일원7시 - 17시(11월~3월), 5시-19시(4월~10월)042-724-3231연중무휴클럽하우스, 창고, 화장실, 파고라 등체육시설관리팀
78체육시설파크골프장220132021대전광역시 유성구 용산동 51-2(용신교 상류)7시 - 17시(11월~3월), 5시-19시(4월~10월)042-724-3231연중무휴클럽하우스, 창고, 화장실, 파고라 등체육시설관리팀
89체육시설파크골프장320112021대전광역시 서구 둔산동 466 일원7시 - 17시(11월~3월), 5시-19시(4월~10월)042-724-3231연중무휴클럽하우스, 관람석, 화장실, 그늘막 등체육시설관리팀
910체육시설파크골프장420112021대전광역시 유성구 봉명동 496-25 일원7시 - 17시(11월~3월), 5시-19시(4월~10월)042-724-3231연중무휴클럽하우스, 그늘막, 벤치, 안내판 등체육시설관리팀
순번시설구분시설명준공연도인수연도주소이용시간전화번호휴장일주요시설물관리부서
2627복지시설산성주민복지관20002022대전광역시 중구 보문산로 267시 ~ 22시(토요일· 공휴일: 7시 ~ 21시)042-724-3681매주 일요일, 신정, 설· 추석 연휴, 부처님오신날, 성탄절, 선거일지하1층 ~ 지상 2층 건물, 탁구장, 에어로빅장, 체력단련실, 배드민턴장 등기성종합복지관
2728환경시설대전하수처리장19892001대전광역시 유성구 엑스포로 3269시 - 18시042-610-2800<NA>1~4 처리장(수처리, 슬러지처리), 하수처리장 견학하수시설팀
2829체육시설하수처리장 체육시설20002001대전광역시 유성구 엑스포로 326시설개방: 7시- 22시(12월 ~ 2월 : 9시 - 18시)042-610-2874신정, 설, 추석, 성탄절, 석가탄신일체육시설(천연잔디축구장 1면, 테니스장 3면, 테니스연습장 1면, 배구장(족구가능) 2면, 농구장 2면, 게이트볼장 5면, 롤러스케이트장 1개), 공원시설(놀이터, 파고라, 음수대, 주차시설 81대, 산책로 등)하수시설팀
2930환경시설흑석하수처리장20052006대전광역시 서구 벌곡로 7799시 - 18시042-586-3740<NA>처리장 6,003㎡, 펌프장 421㎡수질관리팀
3031환경시설대청호 환경기초시설20092001대전광역시 동구 대청호수로 545번길 19시 - 18시042-273-9623<NA>중계펌프장 208개소, 합병정화조 2개소대청호시설팀
3132환경시설위생처리장19762001대전광역시 대덕구 한밭대로 1003번길 1559시 - 18시042-623-3595<NA>분뇨송분 배관시설, 전기시설 등위생관리팀
3233환경시설대전천 가압장20082012대전광역시 서구 유등로 7709시 - 18시042-482-2182<NA>송수관로, 가압펌프, 크레인, 공조설비, 소방설비 등위생관리팀
3334기반시설공영자전거 타슈20092012대전광역시 유성구 엑스포로 326(하수처리장 내)대여:05시-24시, 반납:24시간1899-2822<NA>자전거 5,000대, 대여소 1,150개소, 거치대 8,630개기반시설팀
3435기반시설역전지하도상가19812001대전광역시 동구 중앙로 지하2009시 - 20시042-724-4102<NA>점포 사용허가대상 총 114개(사용 110개, 휴업 1개, 임시활용 2개 ※ 휴업: 건강카페, 임시활용: 고객지원센터)상가지원팀
3536기반시설스마트시티 시설물20212022대전광역시 유성구 가정동, 구성동, 도룡동 일원 2.46km<NA><NA><NA>Re-New 과학마을(5종 16개소), 대덕과학문화의 거리(9종 41개소), 스마트 쉼터, 첨단 버스쉘터, 자율주행셔틀, 바닥미술관, 미디어포그, 미디어갤러리 등기반시설팀