Overview

Dataset statistics

Number of variables28
Number of observations107
Missing cells285
Missing cells (%)9.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.2 KiB
Average record size in memory231.2 B

Variable types

Text6
Categorical15
Boolean1
Numeric6

Dataset

Description전라북도_공공시설개방정보_20171121
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201906

Alerts

데이터기준일자 has constant value ""Constant
자료출처 has constant value ""Constant
사용기준시간 has 27 (25.2%) missing valuesMissing
초과사용단위시간 has 43 (40.2%) missing valuesMissing
수용가능인원수 has 31 (29.0%) missing valuesMissing
면적 has 23 (21.5%) missing valuesMissing
부대시설정보 has 47 (43.9%) missing valuesMissing
시설사진정보 has 74 (69.2%) missing valuesMissing
소재지지번주소 has 40 (37.4%) missing valuesMissing
사용기준시간 has 7 (6.5%) zerosZeros
초과사용단위시간 has 16 (15.0%) zerosZeros

Reproduction

Analysis started2024-03-14 00:59:51.673025
Analysis finished2024-03-14 00:59:52.106279
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방시설명
Text

Distinct75
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-03-14T09:59:52.257632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.4672897
Min length3

Characters and Unicode

Total characters799
Distinct characters145
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)58.9%

Sample

1st row실내체육관
2nd row스포츠파크
3rd row스포츠파크
4th row스포츠파크
5th row스포츠파크
ValueCountFrequency (%)
스포츠파크 7
 
4.9%
배산체육공원 6
 
4.2%
월명종합경기장 6
 
4.2%
예체문화관 5
 
3.5%
종합경기장 5
 
3.5%
수도산체육공원 5
 
3.5%
축구장 4
 
2.8%
풋살장 4
 
2.8%
사선대 4
 
2.8%
체육시설 4
 
2.8%
Other values (61) 93
65.0%
2024-03-14T09:59:52.586460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 60
 
7.5%
체 43
 
5.4%
육 37
 
4.6%
36
 
4.5%
관 34
 
4.3%
공 31
 
3.9%
수 20
 
2.5%
원 20
 
2.5%
문 18
 
2.3%
기 15
 
1.9%
Other values (135) 485
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 763
95.5%
Space Separator 36
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 60
 
7.9%
체 43
 
5.6%
육 37
 
4.8%
관 34
 
4.5%
공 31
 
4.1%
수 20
 
2.6%
원 20
 
2.6%
문 18
 
2.4%
기 15
 
2.0%
화 15
 
2.0%
Other values (134) 470
61.6%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 763
95.5%
Common 36
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 60
 
7.9%
체 43
 
5.6%
육 37
 
4.8%
관 34
 
4.5%
공 31
 
4.1%
수 20
 
2.6%
원 20
 
2.6%
문 18
 
2.4%
기 15
 
2.0%
화 15
 
2.0%
Other values (134) 470
61.6%
Common
ValueCountFrequency (%)
36
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 763
95.5%
ASCII 36
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 60
 
7.9%
체 43
 
5.6%
육 37
 
4.8%
관 34
 
4.5%
공 31
 
4.1%
수 20
 
2.6%
원 20
 
2.6%
문 18
 
2.4%
기 15
 
2.0%
화 15
 
2.0%
Other values (134) 470
61.6%
ASCII
ValueCountFrequency (%)
36
100.0%

개방장소명
Text

Distinct60
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-03-14T09:59:52.781075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length11
Mean length6.0373832
Min length3

Characters and Unicode

Total characters646
Distinct characters136
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

Unique39 ?
Unique (%)36.4%

Sample

1st row실내체육관
2nd row공설운동장
3rd row보조경기장
4th row풋살장
5th row테니스장
ValueCountFrequency (%)
예체문화관 7
 
6.2%
배산체육공원 6
 
5.4%
수도산체육공원 5
 
4.5%
국민체육센터 5
 
4.5%
종합경기장 5
 
4.5%
공설운동장 4
 
3.6%
고창군 4
 
3.6%
족구장 4
 
3.6%
춘향문화예술회관 3
 
2.7%
중앙체육공원 3
 
2.7%
Other values (50) 66
58.9%
2024-03-14T09:59:53.106286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
체 44
 
6.8%
육 37
 
5.7%
관 34
 
5.3%
장 33
 
5.1%
공 30
 
4.6%
원 23
 
3.6%
문 19
 
2.9%
화 18
 
2.8%
산 14
 
2.2%
예 13
 
2.0%
Other values (126) 381
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
98.1%
Other Punctuation 5
 
0.8%
Space Separator 5
 
0.8%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
체 44
 
6.9%
육 37
 
5.8%
관 34
 
5.4%
장 33
 
5.2%
공 30
 
4.7%
원 23
 
3.6%
문 19
 
3.0%
화 18
 
2.8%
산 14
 
2.2%
예 13
 
2.1%
Other values (122) 369
58.2%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
98.1%
Common 12
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
체 44
 
6.9%
육 37
 
5.8%
관 34
 
5.4%
장 33
 
5.2%
공 30
 
4.7%
원 23
 
3.6%
문 19
 
3.0%
화 18
 
2.8%
산 14
 
2.2%
예 13
 
2.1%
Other values (122) 369
58.2%
Common
ValueCountFrequency (%)
, 5
41.7%
5
41.7%
( 1
 
8.3%
) 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
98.1%
ASCII 12
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
체 44
 
6.9%
육 37
 
5.8%
관 34
 
5.4%
장 33
 
5.2%
공 30
 
4.7%
원 23
 
3.6%
문 19
 
3.0%
화 18
 
2.8%
산 14
 
2.2%
예 13
 
2.1%
Other values (122) 369
58.2%
ASCII
ValueCountFrequency (%)
, 5
41.7%
5
41.7%
( 1
 
8.3%
) 1
 
8.3%

개방시설유형구분
Categorical

Distinct13
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
기타
25 
축구장
14 
다목적경기장
11 
체육관
10 
족구장
8 
Other values (8)
39 

Length

Max length6
Median length5
Mean length3.2990654
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row체육관
2nd row축구장
3rd row축구장
4th row풋살경기장
5th row테니스장

Common Values

ValueCountFrequency (%)
기타 25
23.4%
축구장 14
13.1%
다목적경기장 11
10.3%
체육관 10
 
9.3%
족구장 8
 
7.5%
풋살경기장 7
 
6.5%
테니스장 7
 
6.5%
전시실 7
 
6.5%
농구장 5
 
4.7%
강당 5
 
4.7%
Other values (3) 8
 
7.5%

Length

2024-03-14T09:59:53.217311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 25
23.4%
축구장 14
13.1%
다목적경기장 11
10.3%
체육관 10
 
9.3%
족구장 8
 
7.5%
풋살경기장 7
 
6.5%
테니스장 7
 
6.5%
전시실 7
 
6.5%
농구장 5
 
4.7%
강당 5
 
4.7%
Other values (3) 8
 
7.5%

휴관일
Categorical

Distinct23
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
없음
28 
연중무휴
23 
공휴일
10 
추석연휴, 설연휴
8 
무휴
5 
Other values (18)
33 

Length

Max length21
Median length18
Mean length5.2242991
Min length2

Unique

Unique9 ?
Unique (%)8.4%

Sample

1st row추석연휴, 설연휴
2nd row추석연휴, 설연휴
3rd row추석연휴, 설연휴
4th row추석연휴, 설연휴
5th row추석연휴, 설연휴

Common Values

ValueCountFrequency (%)
없음 28
26.2%
연중무휴 23
21.5%
공휴일 10
 
9.3%
추석연휴, 설연휴 8
 
7.5%
무휴 5
 
4.7%
구정,추석 4
 
3.7%
설/추석 4
 
3.7%
추석당일,설당일 3
 
2.8%
매주 월요일, 명절 당일 3
 
2.8%
매월 둘째,넷째 일요일, 공휴일 2
 
1.9%
Other values (13) 17
15.9%

Length

2024-03-14T09:59:53.342777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 28
18.7%
연중무휴 23
15.3%
공휴일 13
 
8.7%
추석연휴 8
 
5.3%
설연휴 8
 
5.3%
월요일 8
 
5.3%
매주 6
 
4.0%
일요일 5
 
3.3%
무휴 5
 
3.3%
명절 5
 
3.3%
Other values (23) 41
27.3%

평일운영시작시각
Categorical

Distinct8
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
6:00
40 
9:00
32 
8:00
18 
0:00
10 
13:00
 
2
Other values (3)
5 

Length

Max length5
Median length4
Mean length4.0373832
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row9:00
2nd row9:00
3rd row9:00
4th row9:00
5th row9:00

Common Values

ValueCountFrequency (%)
6:00 40
37.4%
9:00 32
29.9%
8:00 18
16.8%
0:00 10
 
9.3%
13:00 2
 
1.9%
5:00 2
 
1.9%
10:00 2
 
1.9%
1:00 1
 
0.9%

Length

2024-03-14T09:59:53.460231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:59:53.560864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6:00 40
37.4%
9:00 32
29.9%
8:00 18
16.8%
0:00 10
 
9.3%
13:00 2
 
1.9%
5:00 2
 
1.9%
10:00 2
 
1.9%
1:00 1
 
0.9%

평일운영종료시각
Categorical

Distinct8
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
22:00
51 
18:00
16 
23:00
11 
21:00
10 
0:00
9 
Other values (3)
10 

Length

Max length5
Median length5
Mean length4.9158879
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row22:00
2nd row22:00
3rd row22:00
4th row22:00
5th row22:00

Common Values

ValueCountFrequency (%)
22:00 51
47.7%
18:00 16
 
15.0%
23:00 11
 
10.3%
21:00 10
 
9.3%
0:00 9
 
8.4%
20:00 7
 
6.5%
12:00 2
 
1.9%
22:30 1
 
0.9%

Length

2024-03-14T09:59:53.685284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:59:53.772094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22:00 51
47.7%
18:00 16
 
15.0%
23:00 11
 
10.3%
21:00 10
 
9.3%
0:00 9
 
8.4%
20:00 7
 
6.5%
12:00 2
 
1.9%
22:30 1
 
0.9%

주말운영시작시각
Categorical

Distinct8
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size988.0 B
9:00
36 
6:00
35 
8:00
18 
0:00
11 
13:00
 
2
Other values (3)
5 

Length

Max length5
Median length4
Mean length4.0373832
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row9:00
2nd row9:00
3rd row9:00
4th row9:00
5th row9:00

Common Values

ValueCountFrequency (%)
9:00 36
33.6%
6:00 35
32.7%
8:00 18
16.8%
0:00 11
 
10.3%
13:00 2
 
1.9%
5:00 2
 
1.9%
10:00 2
 
1.9%
1:00 1
 
0.9%

Length

2024-03-14T09:59:53.868993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:59:53.958640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9:00 36
33.6%
6:00 35
32.7%
8:00 18
16.8%
0:00 11
 
10.3%
13:00 2
 
1.9%
5:00 2
 
1.9%
10:00 2
 
1.9%
1:00 1
 
0.9%

주말운영종료시각
Categorical

Distinct9
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size988.0 B
22:00
41 
18:00
31 
23:00
11 
0:00
11 
21:00
5 
Other values (4)
8 

Length

Max length5
Median length5
Mean length4.8971963
Min length4

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row18:00
2nd row18:00
3rd row18:00
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
22:00 41
38.3%
18:00 31
29.0%
23:00 11
 
10.3%
0:00 11
 
10.3%
21:00 5
 
4.7%
17:00 3
 
2.8%
20:00 3
 
2.8%
22:30 1
 
0.9%
12:00 1
 
0.9%

Length

2024-03-14T09:59:54.086444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:59:54.195220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22:00 41
38.3%
18:00 31
29.0%
23:00 11
 
10.3%
0:00 11
 
10.3%
21:00 5
 
4.7%
17:00 3
 
2.8%
20:00 3
 
2.8%
22:30 1
 
0.9%
12:00 1
 
0.9%

유료사용여부
Boolean

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size239.0 B
True
85 
False
22 
ValueCountFrequency (%)
True 85
79.4%
False 22
 
20.6%
2024-03-14T09:59:54.306133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사용기준시간
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)8.8%
Missing27
Missing (%)25.2%
Infinite0
Infinite (%)0.0%
Mean3.1625
Minimum0
Maximum9
Zeros7
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T09:59:54.388111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q34
95-th percentile9
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.3677354
Coefficient of variation (CV)0.74869103
Kurtosis1.2197138
Mean3.1625
Median Absolute Deviation (MAD)1
Skewness1.3269921
Sum253
Variance5.6061709
MonotonicityNot monotonic
2024-03-14T09:59:54.467643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 38
35.5%
4 20
18.7%
0 7
 
6.5%
9 6
 
5.6%
8 4
 
3.7%
3 3
 
2.8%
1 2
 
1.9%
(Missing) 27
25.2%
ValueCountFrequency (%)
0 7
 
6.5%
1 2
 
1.9%
2 38
35.5%
3 3
 
2.8%
4 20
18.7%
8 4
 
3.7%
9 6
 
5.6%
ValueCountFrequency (%)
9 6
 
5.6%
8 4
 
3.7%
4 20
18.7%
3 3
 
2.8%
2 38
35.5%
1 2
 
1.9%
0 7
 
6.5%

사용료
Categorical

Distinct35
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
29 
0
11 
2000
7 
20000
6 
3000
 
4
Other values (30)
50 

Length

Max length6
Median length4
Mean length4.1775701
Min length1

Unique

Unique16 ?
Unique (%)15.0%

Sample

1st row120000
2nd row150000
3rd row60000
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 29
27.1%
0 11
 
10.3%
2000 7
 
6.5%
20000 6
 
5.6%
3000 4
 
3.7%
15000 3
 
2.8%
60000 3
 
2.8%
2500 3
 
2.8%
1500 3
 
2.8%
5000 3
 
2.8%
Other values (25) 35
32.7%

Length

2024-03-14T09:59:54.568518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 29
27.1%
0 11
 
10.3%
2000 7
 
6.5%
20000 6
 
5.6%
3000 4
 
3.7%
15000 3
 
2.8%
60000 3
 
2.8%
2500 3
 
2.8%
1500 3
 
2.8%
5000 3
 
2.8%
Other values (25) 35
32.7%

초과사용단위시간
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)12.5%
Missing43
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean1642.2031
Minimum0
Maximum35000
Zeros16
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T09:59:54.665546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median1
Q34
95-th percentile17001.2
Maximum35000
Range35000
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation6609.7609
Coefficient of variation (CV)4.024935
Kurtosis16.174775
Mean1642.2031
Median Absolute Deviation (MAD)1
Skewness4.0870808
Sum105101
Variance43688939
MonotonicityNot monotonic
2024-03-14T09:59:54.771018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 21
19.6%
0 16
 
15.0%
4 14
 
13.1%
2 8
 
7.5%
20000 2
 
1.9%
8 1
 
0.9%
30000 1
 
0.9%
35000 1
 
0.9%
(Missing) 43
40.2%
ValueCountFrequency (%)
0 16
15.0%
1 21
19.6%
2 8
 
7.5%
4 14
13.1%
8 1
 
0.9%
20000 2
 
1.9%
30000 1
 
0.9%
35000 1
 
0.9%
ValueCountFrequency (%)
35000 1
 
0.9%
30000 1
 
0.9%
20000 2
 
1.9%
8 1
 
0.9%
4 14
13.1%
2 8
 
7.5%
1 21
19.6%
0 16
15.0%

초과사용료
Categorical

Distinct24
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
47 
0
13 
1000
7 
20000
6 
1500
 
4
Other values (19)
30 

Length

Max length6
Median length4
Mean length3.9065421
Min length1

Unique

Unique12 ?
Unique (%)11.2%

Sample

1st row120000
2nd row150000
3rd row60000
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 47
43.9%
0 13
 
12.1%
1000 7
 
6.5%
20000 6
 
5.6%
1500 4
 
3.7%
30000 3
 
2.8%
16000 3
 
2.8%
6000 3
 
2.8%
15000 3
 
2.8%
35000 2
 
1.9%
Other values (14) 16
 
15.0%

Length

2024-03-14T09:59:54.885006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 47
43.9%
0 13
 
12.1%
1000 7
 
6.5%
20000 6
 
5.6%
1500 4
 
3.7%
6000 3
 
2.8%
15000 3
 
2.8%
16000 3
 
2.8%
30000 3
 
2.8%
35000 2
 
1.9%
Other values (14) 16
 
15.0%

수용가능인원수
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)51.3%
Missing31
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean2104.7237
Minimum20
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T09:59:55.004806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q181
median255
Q31997
95-th percentile10500
Maximum30000
Range29980
Interquartile range (IQR)1916

Descriptive statistics

Standard deviation4702.6304
Coefficient of variation (CV)2.234322
Kurtosis18.666806
Mean2104.7237
Median Absolute Deviation (MAD)235
Skewness3.9725096
Sum159959
Variance22114733
MonotonicityNot monotonic
2024-03-14T09:59:55.130557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
100 9
 
8.4%
50 9
 
8.4%
3000 6
 
5.6%
20 5
 
4.7%
500 4
 
3.7%
300 3
 
2.8%
200 3
 
2.8%
1000 2
 
1.9%
650 2
 
1.9%
5000 2
 
1.9%
Other values (29) 31
29.0%
(Missing) 31
29.0%
ValueCountFrequency (%)
20 5
4.7%
30 2
 
1.9%
31 1
 
0.9%
40 1
 
0.9%
50 9
8.4%
54 1
 
0.9%
90 1
 
0.9%
100 9
8.4%
110 1
 
0.9%
112 1
 
0.9%
ValueCountFrequency (%)
30000 1
0.9%
20000 1
0.9%
13000 1
0.9%
12000 1
0.9%
10000 1
0.9%
7000 1
0.9%
6700 1
0.9%
6000 1
0.9%
5000 2
1.9%
4888 1
0.9%

면적
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)91.7%
Missing23
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean7023.3999
Minimum143
Maximum69795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T09:59:55.249528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143
5-th percentile270.25
Q1747.7
median2365
Q37048
95-th percentile29910
Maximum69795
Range69652
Interquartile range (IQR)6300.3

Descriptive statistics

Standard deviation12322.484
Coefficient of variation (CV)1.7544898
Kurtosis13.540722
Mean7023.3999
Median Absolute Deviation (MAD)1891.5
Skewness3.4165336
Sum589965.59
Variance1.5184361 × 108
MonotonicityNot monotonic
2024-03-14T09:59:55.357334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600.0 2
 
1.9%
740.8 2
 
1.9%
7072.0 2
 
1.9%
1125.0 2
 
1.9%
7140.0 2
 
1.9%
1493.0 2
 
1.9%
740.0 2
 
1.9%
1911.0 1
 
0.9%
556.99 1
 
0.9%
7198.0 1
 
0.9%
Other values (67) 67
62.6%
(Missing) 23
 
21.5%
ValueCountFrequency (%)
143.0 1
0.9%
150.0 1
0.9%
170.0 1
0.9%
256.0 1
0.9%
265.0 1
0.9%
300.0 1
0.9%
320.0 1
0.9%
343.0 1
0.9%
440.0 1
0.9%
470.0 1
0.9%
ValueCountFrequency (%)
69795.0 1
0.9%
66462.0 1
0.9%
33000.0 1
0.9%
32325.0 1
0.9%
30600.0 1
0.9%
26000.0 1
0.9%
25136.0 1
0.9%
24608.0 1
0.9%
20000.0 1
0.9%
19870.0 1
0.9%

부대시설정보
Text

MISSING 

Distinct45
Distinct (%)75.0%
Missing47
Missing (%)43.9%
Memory size988.0 B
2024-03-14T09:59:55.538679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length23
Mean length11.1
Min length2

Characters and Unicode

Total characters666
Distinct characters155
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)61.7%

Sample

1st row무대,화장실
2nd row육상트랙, 천연잔디축구장,화장실, 조명시설
3rd row조명시설
4th row조명시설
5th row조명시설,샤워장, 화장실
ValueCountFrequency (%)
음향 5
 
5.1%
화장실 5
 
5.1%
조명시설 5
 
5.1%
등 4
 
4.0%
사무실 4
 
4.0%
화장실,샤워장 3
 
3.0%
수장고 3
 
3.0%
조명 3
 
3.0%
음향시설,확성기 3
 
3.0%
마이크 3
 
3.0%
Other values (54) 61
61.6%
2024-03-14T09:59:55.888762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 82
 
12.3%
실 45
 
6.8%
39
 
5.9%
장 30
 
4.5%
조 17
 
2.6%
명 17
 
2.6%
시 15
 
2.3%
구 13
 
2.0%
화 12
 
1.8%
향 12
 
1.8%
Other values (145) 384
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 523
78.5%
Other Punctuation 93
 
14.0%
Space Separator 39
 
5.9%
Decimal Number 4
 
0.6%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 45
 
8.6%
장 30
 
5.7%
조 17
 
3.3%
명 17
 
3.3%
시 15
 
2.9%
구 13
 
2.5%
화 12
 
2.3%
향 12
 
2.3%
음 11
 
2.1%
전 10
 
1.9%
Other values (135) 341
65.2%
Decimal Number
ValueCountFrequency (%)
3 1
25.0%
4 1
25.0%
1 1
25.0%
2 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 82
88.2%
/ 11
 
11.8%
Space Separator
ValueCountFrequency (%)
39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 523
78.5%
Common 142
 
21.3%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 45
 
8.6%
장 30
 
5.7%
조 17
 
3.3%
명 17
 
3.3%
시 15
 
2.9%
구 13
 
2.5%
화 12
 
2.3%
향 12
 
2.3%
음 11
 
2.1%
전 10
 
1.9%
Other values (135) 341
65.2%
Common
ValueCountFrequency (%)
, 82
57.7%
39
27.5%
/ 11
 
7.7%
( 3
 
2.1%
) 3
 
2.1%
3 1
 
0.7%
4 1
 
0.7%
1 1
 
0.7%
2 1
 
0.7%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 523
78.5%
ASCII 143
 
21.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 82
57.3%
39
27.3%
/ 11
 
7.7%
( 3
 
2.1%
) 3
 
2.1%
D 1
 
0.7%
3 1
 
0.7%
4 1
 
0.7%
1 1
 
0.7%
2 1
 
0.7%
Hangul
ValueCountFrequency (%)
실 45
 
8.6%
장 30
 
5.7%
조 17
 
3.3%
명 17
 
3.3%
시 15
 
2.9%
구 13
 
2.5%
화 12
 
2.3%
향 12
 
2.3%
음 11
 
2.1%
전 10
 
1.9%
Other values (135) 341
65.2%

신청방법구분
Categorical

Distinct13
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
33 
방문
26 
유선및공문
12 
방문신청
9 
신청서
9 
Other values (8)
18 

Length

Max length10
Median length8
Mean length3.7757009
Min length2

Unique

Unique5 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
30.8%
방문 26
24.3%
유선및공문 12
 
11.2%
방문신청 9
 
8.4%
신청서 9
 
8.4%
방문,전화 8
 
7.5%
방문,팩스,메일 3
 
2.8%
ARS 2
 
1.9%
공문, 대관서 작성 1
 
0.9%
전화 1
 
0.9%
Other values (3) 3
 
2.8%

Length

2024-03-14T09:59:56.001316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 33
30.3%
방문 26
23.9%
유선및공문 12
 
11.0%
방문신청 9
 
8.3%
신청서 9
 
8.3%
방문,전화 8
 
7.3%
방문,팩스,메일 3
 
2.8%
ars 2
 
1.8%
공문 1
 
0.9%
대관서 1
 
0.9%
Other values (5) 5
 
4.6%

시설사진정보
Text

MISSING 

Distinct18
Distinct (%)54.5%
Missing74
Missing (%)69.2%
Memory size988.0 B
2024-03-14T09:59:56.155514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length76
Mean length30.848485
Min length2

Characters and Unicode

Total characters1018
Distinct characters66
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

Unique15 ?
Unique (%)45.5%

Sample

1st rowhttp://art.muju.go.kr/index.9is?contentUid=9be51fd63e69af0b013f5104f9142ecf
2nd rowhttp://bandiland.muju.go.kr/index.9is?contentUid=9be51fd644be10b501458223ecf95fae
3rd rowhttp://star.muju.go.kr/index.9is?contentUid=9be51fd63cf7016f013d62a68b8b330d
4th rowhttp://yechae.muju.go.kr/index.sko?menuCd=AO02001000000
5th rowhttp://bandiland.muju.go.kr/index.9is?contentUid=9be51fd644be10b50145823a50aa6073
ValueCountFrequency (%)
임실군 12
16.2%
전라북도 12
16.2%
없음 9
12.2%
임실읍 7
9.5%
호국로1640 5
 
6.8%
관촌면 4
 
5.4%
사선2길 4
 
5.4%
68-7 4
 
5.4%
http://art.muju.go.kr/index.9is?contentuid=9be51fd63e69af0b013f5104f9142ecf 1
 
1.4%
호국로 1
 
1.4%
Other values (15) 15
20.3%
2024-03-14T09:59:56.422521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 92
 
9.0%
e 50
 
4.9%
. 48
 
4.7%
41
 
4.0%
/ 36
 
3.5%
t 34
 
3.3%
d 34
 
3.3%
n 32
 
3.1%
u 32
 
3.1%
o 24
 
2.4%
Other values (56) 595
58.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 433
42.5%
Decimal Number 218
21.4%
Other Letter 174
17.1%
Other Punctuation 108
 
10.6%
Space Separator 41
 
4.0%
Uppercase Letter 28
 
2.8%
Math Symbol 12
 
1.2%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 19
 
10.9%
임 19
 
10.9%
도 12
 
6.9%
군 12
 
6.9%
북 12
 
6.9%
라 12
 
6.9%
전 12
 
6.9%
음 9
 
5.2%
없 9
 
5.2%
로 8
 
4.6%
Other values (13) 50
28.7%
Lowercase Letter
ValueCountFrequency (%)
e 50
 
11.5%
t 34
 
7.9%
d 34
 
7.9%
n 32
 
7.4%
u 32
 
7.4%
o 24
 
5.5%
i 22
 
5.1%
m 20
 
4.6%
a 20
 
4.6%
k 20
 
4.6%
Other values (12) 145
33.5%
Decimal Number
ValueCountFrequency (%)
0 92
42.2%
1 23
 
10.6%
6 20
 
9.2%
2 17
 
7.8%
4 15
 
6.9%
5 12
 
5.5%
9 11
 
5.0%
3 11
 
5.0%
8 9
 
4.1%
7 8
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 48
44.4%
/ 36
33.3%
: 12
 
11.1%
? 12
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
O 8
28.6%
C 8
28.6%
A 8
28.6%
U 4
14.3%
Space Separator
ValueCountFrequency (%)
41
100.0%
Math Symbol
ValueCountFrequency (%)
= 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 461
45.3%
Common 383
37.6%
Hangul 174
 
17.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 50
 
10.8%
t 34
 
7.4%
d 34
 
7.4%
n 32
 
6.9%
u 32
 
6.9%
o 24
 
5.2%
i 22
 
4.8%
m 20
 
4.3%
a 20
 
4.3%
k 20
 
4.3%
Other values (16) 173
37.5%
Hangul
ValueCountFrequency (%)
실 19
 
10.9%
임 19
 
10.9%
도 12
 
6.9%
군 12
 
6.9%
북 12
 
6.9%
라 12
 
6.9%
전 12
 
6.9%
음 9
 
5.2%
없 9
 
5.2%
로 8
 
4.6%
Other values (13) 50
28.7%
Common
ValueCountFrequency (%)
0 92
24.0%
. 48
12.5%
41
10.7%
/ 36
 
9.4%
1 23
 
6.0%
6 20
 
5.2%
2 17
 
4.4%
4 15
 
3.9%
: 12
 
3.1%
5 12
 
3.1%
Other values (7) 67
17.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 844
82.9%
Hangul 174
 
17.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 92
 
10.9%
e 50
 
5.9%
. 48
 
5.7%
41
 
4.9%
/ 36
 
4.3%
t 34
 
4.0%
d 34
 
4.0%
n 32
 
3.8%
u 32
 
3.8%
o 24
 
2.8%
Other values (33) 421
49.9%
Hangul
ValueCountFrequency (%)
실 19
 
10.9%
임 19
 
10.9%
도 12
 
6.9%
군 12
 
6.9%
북 12
 
6.9%
라 12
 
6.9%
전 12
 
6.9%
음 9
 
5.2%
없 9
 
5.2%
로 8
 
4.6%
Other values (13) 50
28.7%

소재지도로명주소
Categorical

Distinct49
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
전라북도 무주군 무주읍 한풍루로 326-17
10 
전라북도 장수군 장수읍 한누리로 393
8 
전라북도 부안군 행안면 체육공원길 31
8 
전라북도 익산시 동서로 21
 
6
전라북도 익산시 하나로3길 52
 
5
Other values (44)
70 

Length

Max length32
Median length28
Mean length19.925234
Min length14

Unique

Unique32 ?
Unique (%)29.9%

Sample

1st row전라북도 부안군 행안면 체육공원길 31
2nd row전라북도 부안군 행안면 체육공원길 31
3rd row전라북도 부안군 행안면 체육공원길 31
4th row전라북도 부안군 행안면 체육공원길 31
5th row전라북도 부안군 행안면 체육공원길 31

Common Values

ValueCountFrequency (%)
전라북도 무주군 무주읍 한풍루로 326-17 10
 
9.3%
전라북도 장수군 장수읍 한누리로 393 8
 
7.5%
전라북도 부안군 행안면 체육공원길 31 8
 
7.5%
전라북도 익산시 동서로 21 6
 
5.6%
전라북도 익산시 하나로3길 52 5
 
4.7%
전라북도 군산시 번영로 281 5
 
4.7%
전라북도 임실군 임실읍 이도리 429-1 공설운동장 5
 
4.7%
전라북도 임실군 관촌면 관촌리 222 4
 
3.7%
전라북도 고창군 고창읍 운동장길 36 4
 
3.7%
전라북도 남원시 양림길 43 3
 
2.8%
Other values (39) 49
45.8%

Length

2024-03-14T09:59:56.747706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라북도 107
 
21.4%
익산시 23
 
4.6%
임실군 12
 
2.4%
무주군 12
 
2.4%
장수군 11
 
2.2%
진안군 11
 
2.2%
무주읍 11
 
2.2%
한풍루로 11
 
2.2%
326-17 10
 
2.0%
부안군 10
 
2.0%
Other values (106) 283
56.5%

소재지지번주소
Text

MISSING 

Distinct46
Distinct (%)68.7%
Missing40
Missing (%)37.4%
Memory size988.0 B
2024-03-14T09:59:56.988343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.164179
Min length16

Characters and Unicode

Total characters1418
Distinct characters101
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

Unique38 ?
Unique (%)56.7%

Sample

1st row전라북도 부안군 행안면 진동리 1131
2nd row전라북도 부안군 행안면 진동리 1155
3rd row전라북도 부안군 행안면 진동리 1155
4th row전라북도 부안군 행안면 진동리 933
5th row전라북도 부안군 행안면 진동리 933
ValueCountFrequency (%)
전라북도 67
21.1%
임실군 12
 
3.8%
무주군 12
 
3.8%
무주읍 11
 
3.5%
당산리 11
 
3.5%
진안군 11
 
3.5%
1199-3 10
 
3.2%
부안군 10
 
3.2%
진안읍 9
 
2.8%
행안면 8
 
2.5%
Other values (84) 156
49.2%
2024-03-14T09:59:57.381117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
 
17.6%
1 70
 
4.9%
전 67
 
4.7%
북 67
 
4.7%
도 67
 
4.7%
라 67
 
4.7%
군 63
 
4.4%
3 44
 
3.1%
읍 41
 
2.9%
안 40
 
2.8%
Other values (91) 642
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 870
61.4%
Decimal Number 262
 
18.5%
Space Separator 250
 
17.6%
Dash Punctuation 36
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 67
 
7.7%
북 67
 
7.7%
도 67
 
7.7%
라 67
 
7.7%
군 63
 
7.2%
읍 41
 
4.7%
안 40
 
4.6%
리 40
 
4.6%
진 29
 
3.3%
주 27
 
3.1%
Other values (79) 362
41.6%
Decimal Number
ValueCountFrequency (%)
1 70
26.7%
3 44
16.8%
9 36
13.7%
4 26
 
9.9%
6 25
 
9.5%
2 18
 
6.9%
5 14
 
5.3%
7 13
 
5.0%
0 8
 
3.1%
8 8
 
3.1%
Space Separator
ValueCountFrequency (%)
250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 870
61.4%
Common 548
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 67
 
7.7%
북 67
 
7.7%
도 67
 
7.7%
라 67
 
7.7%
군 63
 
7.2%
읍 41
 
4.7%
안 40
 
4.6%
리 40
 
4.6%
진 29
 
3.3%
주 27
 
3.1%
Other values (79) 362
41.6%
Common
ValueCountFrequency (%)
250
45.6%
1 70
 
12.8%
3 44
 
8.0%
9 36
 
6.6%
- 36
 
6.6%
4 26
 
4.7%
6 25
 
4.6%
2 18
 
3.3%
5 14
 
2.6%
7 13
 
2.4%
Other values (2) 16
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 870
61.4%
ASCII 548
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
45.6%
1 70
 
12.8%
3 44
 
8.0%
9 36
 
6.6%
- 36
 
6.6%
4 26
 
4.7%
6 25
 
4.6%
2 18
 
3.3%
5 14
 
2.6%
7 13
 
2.4%
Other values (2) 16
 
2.9%
Hangul
ValueCountFrequency (%)
전 67
 
7.7%
북 67
 
7.7%
도 67
 
7.7%
라 67
 
7.7%
군 63
 
7.2%
읍 41
 
4.7%
안 40
 
4.6%
리 40
 
4.6%
진 29
 
3.3%
주 27
 
3.1%
Other values (79) 362
41.6%

관리기관명
Categorical

Distinct13
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
전라북도 익산시청
23 
전라북도 무주군청
12 
전라북도 임실군청
12 
문화체육관광사업소
11 
전라북도 진안군청
10 
Other values (8)
39 

Length

Max length9
Median length9
Mean length8.271028
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라북도 익산시청 23
21.5%
전라북도 무주군청 12
11.2%
전라북도 임실군청 12
11.2%
문화체육관광사업소 11
10.3%
전라북도 진안군청 10
9.3%
부안군 8
 
7.5%
전라북도 군산시청 6
 
5.6%
시설사업소 6
 
5.6%
전라북도 고창군청 6
 
5.6%
전라북도 정읍시청 4
 
3.7%
Other values (3) 9
 
8.4%

Length

2024-03-14T09:59:57.492090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라북도 77
41.8%
익산시청 23
 
12.5%
무주군청 12
 
6.5%
임실군청 12
 
6.5%
문화체육관광사업소 11
 
6.0%
진안군청 10
 
5.4%
부안군 8
 
4.3%
군산시청 6
 
3.3%
시설사업소 6
 
3.3%
고창군청 6
 
3.3%
Other values (4) 13
 
7.1%

담당부서명
Categorical

Distinct16
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
체육진흥과
29 
시설사업소
18 
시설관리팀
11 
문화체육과
10 
문화체육시설사업소
8 
Other values (11)
31 

Length

Max length13
Median length5
Mean length6.0747664
Min length4

Unique

Unique5 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
체육진흥과 29
27.1%
시설사업소 18
16.8%
시설관리팀 11
 
10.3%
문화체육과 10
 
9.3%
문화체육시설사업소 8
 
7.5%
공공시설관리사업소 운영팀 6
 
5.6%
체육청소년사업소 6
 
5.6%
시설관리사업소 4
 
3.7%
체육공원사업소 4
 
3.7%
체육시설 3
 
2.8%
Other values (6) 8
 
7.5%

Length

2024-03-14T09:59:57.588835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
체육진흥과 29
25.7%
시설사업소 18
15.9%
시설관리팀 11
 
9.7%
문화체육과 10
 
8.8%
문화체육시설사업소 8
 
7.1%
공공시설관리사업소 6
 
5.3%
운영팀 6
 
5.3%
체육청소년사업소 6
 
5.3%
체육공원사업소 4
 
3.5%
시설관리사업소 4
 
3.5%
Other values (7) 11
 
9.7%

사용안내전화번호
Text

Distinct52
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-03-14T09:59:57.791151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1284
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

Unique33 ?
Unique (%)30.8%

Sample

1st row063-580-3904
2nd row063-580-3904
3rd row063-580-3904
4th row063-580-3904
5th row063-580-3904
ValueCountFrequency (%)
063-320-5613 10
 
9.3%
063-350-5561 9
 
8.4%
063-580-3904 8
 
7.5%
063-859-4618 6
 
5.6%
063-640-2904 5
 
4.7%
063-859-4684 5
 
4.7%
063-539-5442 4
 
3.7%
063-859-4664 3
 
2.8%
063-640-2923 3
 
2.8%
063-859-4613 3
 
2.8%
Other values (42) 51
47.7%
2024-03-14T09:59:58.091992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 214
16.7%
0 201
15.7%
3 196
15.3%
6 194
15.1%
5 136
10.6%
4 103
8.0%
2 66
 
5.1%
9 63
 
4.9%
8 58
 
4.5%
1 38
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1070
83.3%
Dash Punctuation 214
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 201
18.8%
3 196
18.3%
6 194
18.1%
5 136
12.7%
4 103
9.6%
2 66
 
6.2%
9 63
 
5.9%
8 58
 
5.4%
1 38
 
3.6%
7 15
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 214
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1284
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 214
16.7%
0 201
15.7%
3 196
15.3%
6 194
15.1%
5 136
10.6%
4 103
8.0%
2 66
 
5.1%
9 63
 
4.9%
8 58
 
4.5%
1 38
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 214
16.7%
0 201
15.7%
3 196
15.3%
6 194
15.1%
5 136
10.6%
4 103
8.0%
2 66
 
5.1%
9 63
 
4.9%
8 58
 
4.5%
1 38
 
3.0%

홈페이지주소
Categorical

Distinct19
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
48 
http://imsil.go.kr
12 
www.buan.go.kr/culture/index.buan
9 
www.yechae.muju.go.kr
8 
http://www.gunsan.go.kr/sports/index.gunsan
6 
Other values (14)
24 

Length

Max length43
Median length39
Mean length16.64486
Min length4

Unique

Unique11 ?
Unique (%)10.3%

Sample

1st rowwww.buan.go.kr/culture/index.buan
2nd rowwww.buan.go.kr/culture/index.buan
3rd rowwww.buan.go.kr/culture/index.buan
4th rowwww.buan.go.kr/culture/index.buan
5th rowwww.buan.go.kr/culture/index.buan

Common Values

ValueCountFrequency (%)
<NA> 48
44.9%
http://imsil.go.kr 12
 
11.2%
www.buan.go.kr/culture/index.buan 9
 
8.4%
www.yechae.muju.go.kr 8
 
7.5%
http://www.gunsan.go.kr/sports/index.gunsan 6
 
5.6%
http://www.gochang.go.kr/sisul 6
 
5.6%
http://www.jeongeup.go.kr/buseo/siseol/ 4
 
3.7%
www.wanju.go.kr 3
 
2.8%
http://www.jinanmuseum.kr/ 1
 
0.9%
http://spica.namwon.go.kr/rb/ 1
 
0.9%
Other values (9) 9
 
8.4%

Length

2024-03-14T09:59:58.234017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 48
44.9%
http://imsil.go.kr 12
 
11.2%
www.buan.go.kr/culture/index.buan 9
 
8.4%
www.yechae.muju.go.kr 8
 
7.5%
http://www.gunsan.go.kr/sports/index.gunsan 6
 
5.6%
http://www.gochang.go.kr/sisul 6
 
5.6%
http://www.jeongeup.go.kr/buseo/siseol 4
 
3.7%
www.wanju.go.kr 3
 
2.8%
www.handiland.com 1
 
0.9%
http://art.muju.go.kr 1
 
0.9%
Other values (9) 9
 
8.4%

위도
Real number (ℝ)

Distinct60
Distinct (%)56.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.719988
Minimum35.334361
Maximum36.011566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T09:59:58.344207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.334361
5-th percentile35.38235
Q135.434824
median35.702227
Q335.961121
95-th percentile36.002504
Maximum36.011566
Range0.677205
Interquartile range (IQR)0.5262965

Descriptive statistics

Standard deviation0.24064567
Coefficient of variation (CV)0.006737003
Kurtosis-1.5713355
Mean35.719988
Median Absolute Deviation (MAD)0.260754
Skewness-0.20688789
Sum3822.0387
Variance0.057910336
MonotonicityNot monotonic
2024-03-14T09:59:58.471592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.002504 10
 
9.3%
35.960894 6
 
5.6%
35.9649636 6
 
5.6%
35.610296 6
 
5.6%
35.935179 5
 
4.7%
35.432571 4
 
3.7%
35.950466 3
 
2.8%
35.962981 3
 
2.8%
35.969221 3
 
2.8%
35.671785 3
 
2.8%
Other values (50) 58
54.2%
ValueCountFrequency (%)
35.334361 1
 
0.9%
35.371066 1
 
0.9%
35.372405 1
 
0.9%
35.377362 1
 
0.9%
35.378305 1
 
0.9%
35.38229 1
 
0.9%
35.38249 2
1.9%
35.38279 3
2.8%
35.39103 1
 
0.9%
35.39141 1
 
0.9%
ValueCountFrequency (%)
36.011566 2
 
1.9%
36.009182 1
 
0.9%
36.002504 10
9.3%
35.9919893 1
 
0.9%
35.969221 3
 
2.8%
35.9649636 6
5.6%
35.962981 3
 
2.8%
35.961121 2
 
1.9%
35.960894 6
5.6%
35.950466 3
 
2.8%

경도
Real number (ℝ)

Distinct59
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.13461
Minimum126.50914
Maximum127.75793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T09:59:58.581758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.50914
5-th percentile126.72201
Q1126.94069
median127.14805
Q3127.34254
95-th percentile127.66263
Maximum127.75793
Range1.2487854
Interquartile range (IQR)0.4018465

Descriptive statistics

Standard deviation0.30886091
Coefficient of variation (CV)0.0024294006
Kurtosis-0.93001738
Mean127.13461
Median Absolute Deviation (MAD)0.207357
Skewness0.15133638
Sum13603.404
Variance0.095395062
MonotonicityNot monotonic
2024-03-14T09:59:58.694755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.662626 10
 
9.3%
126.940694 6
 
5.6%
126.7450282 6
 
5.6%
127.283242 6
 
5.6%
126.976017 5
 
4.7%
126.724601 4
 
3.7%
126.976105 3
 
2.8%
127.008151 3
 
2.8%
127.275922 3
 
2.8%
127.251212 3
 
2.8%
Other values (49) 58
54.2%
ValueCountFrequency (%)
126.509141 1
 
0.9%
126.706887 1
 
0.9%
126.718953 1
 
0.9%
126.718987 1
 
0.9%
126.719775 1
 
0.9%
126.721968 1
 
0.9%
126.722096 1
 
0.9%
126.723777 1
 
0.9%
126.724601 4
3.7%
126.725016 1
 
0.9%
ValueCountFrequency (%)
127.7579264 2
 
1.9%
127.662626 10
9.3%
127.480112 1
 
0.9%
127.429612 1
 
0.9%
127.423612 1
 
0.9%
127.423512 1
 
0.9%
127.420212 1
 
0.9%
127.416666 1
 
0.9%
127.415035 1
 
0.9%
127.390072 3
 
2.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
2017-11-21
107 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-11-21
2nd row2017-11-21
3rd row2017-11-21
4th row2017-11-21
5th row2017-11-21

Common Values

ValueCountFrequency (%)
2017-11-21 107
100.0%

Length

2024-03-14T09:59:58.808567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:59:58.886805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-11-21 107
100.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
회계과
107 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
회계과 107
100.0%

Length

2024-03-14T09:59:59.000715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:59:59.101751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회계과 107
100.0%

Sample

개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부사용기준시간사용료초과사용단위시간초과사용료수용가능인원수면적부대시설정보신청방법구분시설사진정보소재지도로명주소소재지지번주소관리기관명담당부서명사용안내전화번호홈페이지주소위도경도데이터기준일자자료출처
0실내체육관실내체육관체육관추석연휴, 설연휴9:0022:009:0018:00Y8120000812000019966536.0무대,화장실방문신청<NA>전라북도 부안군 행안면 체육공원길 31전라북도 부안군 행안면 진동리 1131부안군문화체육시설사업소063-580-3904www.buan.go.kr/culture/index.buan35.702227126.7219682017-11-21회계과
1스포츠파크공설운동장축구장추석연휴, 설연휴9:0022:009:0018:00Y41500004150000670026000.0육상트랙, 천연잔디축구장,화장실, 조명시설방문신청<NA>전라북도 부안군 행안면 체육공원길 31전라북도 부안군 행안면 진동리 1155부안군문화체육시설사업소063-580-3904www.buan.go.kr/culture/index.buan35.700382126.7220962017-11-21회계과
2스포츠파크보조경기장축구장추석연휴, 설연휴9:0022:009:0018:00Y26000026000010020000.0조명시설방문신청<NA>전라북도 부안군 행안면 체육공원길 31전라북도 부안군 행안면 진동리 1155부안군문화체육시설사업소063-580-3904www.buan.go.kr/culture/index.buan35.700021126.7197752017-11-21회계과
3스포츠파크풋살장풋살경기장추석연휴, 설연휴9:0022:009:0018:00N0000201260.0조명시설방문신청<NA>전라북도 부안군 행안면 체육공원길 31전라북도 부안군 행안면 진동리 933부안군문화체육시설사업소063-580-3904www.buan.go.kr/culture/index.buan35.700798126.7237772017-11-21회계과
4스포츠파크테니스장테니스장추석연휴, 설연휴9:0022:009:0018:00N0000505000.0조명시설,샤워장, 화장실방문신청<NA>전라북도 부안군 행안면 체육공원길 31전라북도 부안군 행안면 진동리 933부안군문화체육시설사업소063-580-3904www.buan.go.kr/culture/index.buan35.699575126.7250162017-11-21회계과
5스포츠파크족구장족구장추석연휴, 설연휴9:0022:009:0018:00N0000202150.0조명시설방문신청<NA>전라북도 부안군 행안면 체육공원길 31전라북도 부안군 행안면 진동리 1154부안군문화체육시설사업소063-580-3904www.buan.go.kr/culture/index.buan35.701619126.7189872017-11-21회계과
6스포츠파크농구장농구장추석연휴, 설연휴9:0022:009:0018:00N000020750.0조명시설방문신청<NA>전라북도 부안군 행안면 체육공원길 31전라북도 부안군 행안면 진동리 1154부안군문화체육시설사업소063-580-3904www.buan.go.kr/culture/index.buan35.701207126.7189532017-11-21회계과
7스포츠파크씨름장기타추석연휴, 설연휴9:0022:009:0018:00N000020320.0<NA>방문신청<NA>전라북도 부안군 행안면 체육공원길 31전라북도 부안군 행안면 진동리 933부안군문화체육시설사업소063-580-3904www.buan.go.kr/culture/index.buan35.699538126.7250742017-11-21회계과
8도서관일반자료실,아동자료실,일반열람실(여성,남성),디지털자료실,영상문화실기타일요일을 제외한 공주말8:0023:008:0023:00Y420000003001326.0일반자료실,아동자료실,휴게실,화장실,일반열람실(여성,남성),디지털자료실,연속간행물실,영상문화실<NA><NA>전라북도 부안군 부안읍 매창로 125전라북도 부안군 부안읍 봉덕리 643-3문화체육시설사업소문화시설063-580-3946www.buanlibrary.or.kr35.719455126.7324692017-11-21회계과
9부안노인여성회관부안노인여성회관기타주말, 공주말9:0022:000:000:00N0000502192.0강의실, 화장실, 대피소공문, 대관서 작성<NA>전라북도 부안군 부안읍 매창로 127전라북도 부안군 부안읍 봉덕리 643-65문화체육시설사업소문화시설팀063-580-3935www.buan.go.kr/culture/index.buan35.719458126.7328392017-11-21회계과
개방시설명개방장소명개방시설유형구분휴관일평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각유료사용여부사용기준시간사용료초과사용단위시간초과사용료수용가능인원수면적부대시설정보신청방법구분시설사진정보소재지도로명주소소재지지번주소관리기관명담당부서명사용안내전화번호홈페이지주소위도경도데이터기준일자자료출처
97장수종합경기장풋살장풋살경기장공휴일6:0022:006:0022:00Y400<NA><NA>1125.0<NA>신청서<NA>전라북도 장수군 장수읍 한누리로 393<NA>문화체육관광사업소시설관리팀063-350-5561<NA>35.38229127.312062017-11-21회계과
98장수종합경기장트랙경기장기타공휴일6:0022:006:0022:00Y400<NA>30004000.0<NA>신청서<NA>전라북도 장수군 장수읍 한누리로393<NA>문화체육관광사업소시설관리팀063-350-5561<NA>35.38249127.311412017-11-21회계과
99장수공설운동장축구장축구장공휴일6:0022:006:0022:00Y41500041500030007040.0<NA>신청서<NA>전라북도 장수군 장수읍 한누리로 393<NA>문화체육관광사업소시설관리팀063-350-5561<NA>35.39141127.312092017-11-21회계과
100장수공설운동장테니스장테니스장공휴일6:0022:006:0022:00Y400<NA>1003939.0<NA>신청서<NA>전라북도 장수군 장수읍 한누리로 393<NA>문화체육관광사업소시설관리팀063-350-5561<NA>35.39166127.311752017-11-21회계과
101장수공설운동장벽계정기타공휴일6:0022:006:0022:00Y400<NA><NA>5820.0<NA>신청서<NA>전라북도 장수군 장수읍 한누리로 393<NA>문화체육관광사업소시설관리팀063-350-5561<NA>35.39103127.312112017-11-21회계과
102장수한누리전당산디관다목적경기장공휴일6:0022:006:0022:00Y420000420000<NA>1419.0<NA>신청서<NA>전라북도 장수군 장수읍 한누리로 393<NA>문화체육관광사업소시설관리팀063-350-5561<NA>35.38279127.310462017-11-21회계과
103장수한누리전당너울관기타일요일6:0021:009:0018:00Y<NA>2500<NA><NA><NA>644.0<NA>방문<NA>전라북도 장수군 장수읍 한누리로 393<NA>문화체육관광사업소시설관리팀063-350-5561<NA>35.38279127.310462017-11-21회계과
104장수한누리전당너울관다목적실일요일6:0021:009:0018:00Y<NA>2000<NA><NA><NA>343.0에어로빅방문<NA>전라북도 장수군 장수읍 한누리로 393<NA>문화체육관광사업소시설관리팀063-350-5561<NA>35.38279127.310462017-11-21회계과
105장계국민체육센터장계체육공원다목적경기장공휴일6:0022:006:0022:00Y420000420000<NA>787.0체력측정신청서<NA>전라북도 장수군 장계면 체육공원길 40<NA>문화체육관광사업소시설관리팀063-350-2629<NA>35.43391127.353242017-11-21회계과
106장계국민체육센터장계체육공원축구장공휴일6:0022:006:0022:00Y41500041500030007072.0<NA>신청서<NA>전라북도 장수군 장계면 체육공원길 40<NA>문화체육관광사업소시설관리팀063-350-2629<NA>35.43427127.352222017-11-21회계과