Overview

Dataset statistics

Number of variables11
Number of observations56
Missing cells26
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory91.4 B

Variable types

Categorical7
Text3
Numeric1

Dataset

Description광주광역시 서구 내 공유시설에 대한 데이터로 주소, 운영시간, 수용인원, 사용료, 담당부서 등에 대한 정보를 제공합니다.
Author광주광역시 서구
URLhttps://www.data.go.kr/data/15033513/fileData.do

Alerts

담당부서 is highly overall correlated with 개방시간 and 2 other fieldsHigh correlation
문의처 is highly overall correlated with 개방시간 and 3 other fieldsHigh correlation
자원유형 is highly overall correlated with 개방시간 and 1 other fieldsHigh correlation
상세위치 is highly overall correlated with 사용료High correlation
개방시간 is highly overall correlated with 자원유형 and 2 other fieldsHigh correlation
사용료 is highly overall correlated with 자원유형 and 2 other fieldsHigh correlation
행정동 is highly overall correlated with 담당부서 and 1 other fieldsHigh correlation
사용료 is highly imbalanced (57.8%)Imbalance
수용인원(주차대수) has 18 (32.1%) missing valuesMissing
기타 has 8 (14.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 09:25:06.048749
Analysis finished2023-12-12 09:25:07.438607
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자원유형
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size580.0 B
회의실(공공시설)
21 
회의실(민간시설)
13 
다목적실
12 
강의실/강당
7 
북카페
 
1
Other values (2)
 
2

Length

Max length9
Median length9
Mean length7.2321429
Min length3

Unique

Unique3 ?
Unique (%)5.4%

Sample

1st row회의실(공공시설)
2nd row회의실(공공시설)
3rd row회의실(공공시설)
4th row회의실(공공시설)
5th row회의실(공공시설)

Common Values

ValueCountFrequency (%)
회의실(공공시설) 21
37.5%
회의실(민간시설) 13
23.2%
다목적실 12
21.4%
강의실/강당 7
 
12.5%
북카페 1
 
1.8%
전시실 1
 
1.8%
공연장 1
 
1.8%

Length

2023-12-12T18:25:07.874824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:08.030659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회의실(공공시설 21
37.5%
회의실(민간시설 13
23.2%
다목적실 12
21.4%
강의실/강당 7
 
12.5%
북카페 1
 
1.8%
전시실 1
 
1.8%
공연장 1
 
1.8%

시설명
Text

Distinct39
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T18:25:08.274831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length7.2857143
Min length4

Characters and Unicode

Total characters408
Distinct characters80
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

Unique27 ?
Unique (%)48.2%

Sample

1st row서구청 대회의실
2nd row양동주민센터
3rd row양동현장민원실
4th row양3동주민센터
5th row농성1동주민센터
ValueCountFrequency (%)
서구장애인복지관 4
 
7.0%
상록도서관 4
 
7.0%
화정3동주민센터 3
 
5.3%
화정1동주민센터 2
 
3.5%
서구문화센터 2
 
3.5%
농성1동주민센터 2
 
3.5%
광천동주민센터 2
 
3.5%
상무1동행정복지센터 2
 
3.5%
화정2동주민센터 2
 
3.5%
화정4동행정복지센터 2
 
3.5%
Other values (30) 32
56.1%
2023-12-12T18:25:08.760192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 28
 
6.9%
센 28
 
6.9%
동 28
 
6.9%
정 19
 
4.7%
민 18
 
4.4%
주 18
 
4.4%
서 17
 
4.2%
지 16
 
3.9%
화 15
 
3.7%
복 13
 
3.2%
Other values (70) 208
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 385
94.4%
Decimal Number 18
 
4.4%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 28
 
7.3%
센 28
 
7.3%
동 28
 
7.3%
정 19
 
4.9%
민 18
 
4.7%
주 18
 
4.7%
서 17
 
4.4%
지 16
 
4.2%
화 15
 
3.9%
복 13
 
3.4%
Other values (63) 185
48.1%
Decimal Number
ValueCountFrequency (%)
1 7
38.9%
2 5
27.8%
3 4
22.2%
4 2
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 385
94.4%
Common 23
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 28
 
7.3%
센 28
 
7.3%
동 28
 
7.3%
정 19
 
4.9%
민 18
 
4.7%
주 18
 
4.7%
서 17
 
4.4%
지 16
 
4.2%
화 15
 
3.9%
복 13
 
3.4%
Other values (63) 185
48.1%
Common
ValueCountFrequency (%)
1 7
30.4%
2 5
21.7%
3 4
17.4%
( 2
 
8.7%
) 2
 
8.7%
4 2
 
8.7%
1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 385
94.4%
ASCII 23
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 28
 
7.3%
센 28
 
7.3%
동 28
 
7.3%
정 19
 
4.9%
민 18
 
4.7%
주 18
 
4.7%
서 17
 
4.4%
지 16
 
4.2%
화 15
 
3.9%
복 13
 
3.4%
Other values (63) 185
48.1%
ASCII
ValueCountFrequency (%)
1 7
30.4%
2 5
21.7%
3 4
17.4%
( 2
 
8.7%
) 2
 
8.7%
4 2
 
8.7%
1
 
4.3%

주소
Text

Distinct40
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T18:25:09.041561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.607143
Min length14

Characters and Unicode

Total characters1042
Distinct characters58
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

Unique28 ?
Unique (%)50.0%

Sample

1st row광주광역시 서구 경열로 33
2nd row광주광역시 서구 천변좌로222번길 3-2
3rd row광주광역시 서구 독립로200번길 7
4th row광주광역시 서구 상무대로1223번길 16
5th row광주광역시 서구 상무대로1189번길 23
ValueCountFrequency (%)
광주광역시 56
25.2%
서구 55
24.8%
11 6
 
2.7%
경열로 5
 
2.3%
127 4
 
1.8%
상무대로1171번길 4
 
1.8%
3 4
 
1.8%
상무공원로 3
 
1.4%
17 3
 
1.4%
21 2
 
0.9%
Other values (63) 80
36.0%
2023-12-12T18:25:09.488914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
15.9%
광 114
 
10.9%
1 67
 
6.4%
시 56
 
5.4%
역 56
 
5.4%
서 56
 
5.4%
구 56
 
5.4%
주 56
 
5.4%
로 54
 
5.2%
길 32
 
3.1%
Other values (48) 329
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 653
62.7%
Decimal Number 217
 
20.8%
Space Separator 166
 
15.9%
Dash Punctuation 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 114
17.5%
시 56
8.6%
역 56
8.6%
서 56
8.6%
구 56
8.6%
주 56
8.6%
로 54
8.3%
길 32
 
4.9%
번 30
 
4.6%
대 14
 
2.1%
Other values (36) 129
19.8%
Decimal Number
ValueCountFrequency (%)
1 67
30.9%
2 32
14.7%
7 20
 
9.2%
3 20
 
9.2%
4 18
 
8.3%
8 16
 
7.4%
9 16
 
7.4%
6 12
 
5.5%
0 10
 
4.6%
5 6
 
2.8%
Space Separator
ValueCountFrequency (%)
166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 653
62.7%
Common 389
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 114
17.5%
시 56
8.6%
역 56
8.6%
서 56
8.6%
구 56
8.6%
주 56
8.6%
로 54
8.3%
길 32
 
4.9%
번 30
 
4.6%
대 14
 
2.1%
Other values (36) 129
19.8%
Common
ValueCountFrequency (%)
166
42.7%
1 67
17.2%
2 32
 
8.2%
7 20
 
5.1%
3 20
 
5.1%
4 18
 
4.6%
8 16
 
4.1%
9 16
 
4.1%
6 12
 
3.1%
0 10
 
2.6%
Other values (2) 12
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 653
62.7%
ASCII 389
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166
42.7%
1 67
17.2%
2 32
 
8.2%
7 20
 
5.1%
3 20
 
5.1%
4 18
 
4.6%
8 16
 
4.1%
9 16
 
4.1%
6 12
 
3.1%
0 10
 
2.6%
Other values (2) 12
 
3.1%
Hangul
ValueCountFrequency (%)
광 114
17.5%
시 56
8.6%
역 56
8.6%
서 56
8.6%
구 56
8.6%
주 56
8.6%
로 54
8.3%
길 32
 
4.9%
번 30
 
4.6%
대 14
 
2.1%
Other values (36) 129
19.8%

상세위치
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2층
12 
지하
11 
3층
10 
2층/3층
6 
1층
5 
Other values (9)
12 

Length

Max length10
Median length2
Mean length3.2142857
Min length2

Unique

Unique7 ?
Unique (%)12.5%

Sample

1st row2층
2nd row3층
3rd row3층
4th row2층
5th row2층

Common Values

ValueCountFrequency (%)
2층 12
21.4%
지하 11
19.6%
3층 10
17.9%
2층/3층 6
10.7%
1층 5
8.9%
1층/2층 3
 
5.4%
1층(2개실) 2
 
3.6%
지하/2층 1
 
1.8%
3층(2개실) 1
 
1.8%
본관3층 1
 
1.8%
Other values (4) 4
 
7.1%

Length

2023-12-12T18:25:09.649748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2층 12
21.4%
지하 11
19.6%
3층 10
17.9%
2층/3층 6
10.7%
1층 5
8.9%
1층/2층 3
 
5.4%
1층(2개실 2
 
3.6%
지하/2층 1
 
1.8%
3층(2개실 1
 
1.8%
본관3층 1
 
1.8%
Other values (4) 4
 
7.1%

수용인원(주차대수)
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)34.2%
Missing18
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean61.842105
Minimum10
Maximum326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T18:25:09.781847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile11.7
Q130
median50
Q380
95-th percentile115
Maximum326
Range316
Interquartile range (IQR)50

Descriptive statistics

Standard deviation58.548906
Coefficient of variation (CV)0.94674827
Kurtosis11.075024
Mean61.842105
Median Absolute Deviation (MAD)30
Skewness2.8814346
Sum2350
Variance3427.9744
MonotonicityNot monotonic
2023-12-12T18:25:09.885828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
50 7
 
12.5%
100 6
 
10.7%
80 5
 
8.9%
30 5
 
8.9%
40 3
 
5.4%
15 3
 
5.4%
10 2
 
3.6%
12 2
 
3.6%
200 1
 
1.8%
70 1
 
1.8%
Other values (3) 3
 
5.4%
(Missing) 18
32.1%
ValueCountFrequency (%)
10 2
 
3.6%
12 2
 
3.6%
15 3
5.4%
20 1
 
1.8%
25 1
 
1.8%
30 5
8.9%
40 3
5.4%
50 7
12.5%
70 1
 
1.8%
80 5
8.9%
ValueCountFrequency (%)
326 1
 
1.8%
200 1
 
1.8%
100 6
10.7%
80 5
8.9%
70 1
 
1.8%
50 7
12.5%
40 3
5.4%
30 5
8.9%
25 1
 
1.8%
20 1
 
1.8%

개방시간
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
09:00~18:00
25 
월~금 09:00~18:00
11 
평일, 토요일, 일요일, 공휴일 09:00~18:00 휴관일 제외
3 
평일 09:00~18:00 (토,일,공휴일 제외)
3 
평일10:00~20:00 토,일요일10:00~17:00
 
2
Other values (11)
12 

Length

Max length36
Median length30
Mean length17.053571
Min length11

Unique

Unique10 ?
Unique (%)17.9%

Sample

1st row평일 9:00~21:00
2nd row평일09:00~20:00
3rd row09:00~18:00
4th row09:00~18:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
09:00~18:00 25
44.6%
월~금 09:00~18:00 11
19.6%
평일, 토요일, 일요일, 공휴일 09:00~18:00 휴관일 제외 3
 
5.4%
평일 09:00~18:00 (토,일,공휴일 제외) 3
 
5.4%
평일10:00~20:00 토,일요일10:00~17:00 2
 
3.6%
평일, 주말 09:00~21:00 공휴일 휴무 2
 
3.6%
평일 9:00~21:00 1
 
1.8%
평일09:00~20:00 1
 
1.8%
10:00~20:00 1
 
1.8%
09:00~20:00 1
 
1.8%
Other values (6) 6
 
10.7%

Length

2023-12-12T18:25:10.010652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00~18:00 44
34.6%
평일 11
 
8.7%
월~금 11
 
8.7%
제외 8
 
6.3%
공휴일 6
 
4.7%
토요일 4
 
3.1%
일요일 4
 
3.1%
휴관일 4
 
3.1%
토,일,공휴일 4
 
3.1%
휴무 3
 
2.4%
Other values (20) 28
22.0%

사용료
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
무료
48 
유료
7 
무료(2시간)
 
1

Length

Max length7
Median length2
Mean length2.0892857
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
무료 48
85.7%
유료 7
 
12.5%
무료(2시간) 1
 
1.8%

Length

2023-12-12T18:25:10.124000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:10.209506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 48
85.7%
유료 7
 
12.5%
무료(2시간 1
 
1.8%

담당부서
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
주민자치과
13 
상록도서관
4 
노인장애인복지과(서구장애인복지관)
4 
교육지원과
3 
화정3동주민센터
3 
Other values (20)
29 

Length

Max length18
Median length17
Mean length7.75
Min length5

Unique

Unique11 ?
Unique (%)19.6%

Sample

1st row행정지원과
2nd row양동주민센터
3rd row양동주민센터
4th row양3동주민센터
5th row농성1동주민센터

Common Values

ValueCountFrequency (%)
주민자치과 13
23.2%
상록도서관 4
 
7.1%
노인장애인복지과(서구장애인복지관) 4
 
7.1%
교육지원과 3
 
5.4%
화정3동주민센터 3
 
5.4%
문화체육과 2
 
3.6%
농성1동주민센터 2
 
3.6%
상무1동행정복지센터 2
 
3.6%
상무2동행정복지센터 2
 
3.6%
광천동주민센터 2
 
3.6%
Other values (15) 19
33.9%

Length

2023-12-12T18:25:10.312989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민자치과 13
23.2%
노인장애인복지과(서구장애인복지관 4
 
7.1%
상록도서관 4
 
7.1%
교육지원과 3
 
5.4%
화정3동주민센터 3
 
5.4%
광천동주민센터 2
 
3.6%
화정4동행정복지센터 2
 
3.6%
양동주민센터 2
 
3.6%
화정2동주민센터 2
 
3.6%
화정1동주민센터 2
 
3.6%
Other values (15) 19
33.9%

문의처
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
062-360-7663
13 
062-350-4593
4 
062-360-7310
4 
062-350-4423
 
3
062-350-4364
 
2
Other values (21)
30 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique12 ?
Unique (%)21.4%

Sample

1st row062-360-7396
2nd row062-350-4204
3rd row062-350-4204
4th row062-350-4224
5th row062-350-4243

Common Values

ValueCountFrequency (%)
062-360-7663 13
23.2%
062-350-4593 4
 
7.1%
062-360-7310 4
 
7.1%
062-350-4423 3
 
5.4%
062-350-4364 2
 
3.6%
062-350-4243 2
 
3.6%
062-350-4283 2
 
3.6%
062-350-4344 2
 
3.6%
062-360-7886 2
 
3.6%
062-350-4404 2
 
3.6%
Other values (16) 20
35.7%

Length

2023-12-12T18:25:10.423507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
062-360-7663 13
23.2%
062-360-7310 4
 
7.1%
062-350-4593 4
 
7.1%
062-350-4423 3
 
5.4%
062-350-4404 2
 
3.6%
062-360-7670 2
 
3.6%
062-350-4395 2
 
3.6%
062-350-4204 2
 
3.6%
062-350-4444 2
 
3.6%
062-360-7886 2
 
3.6%
Other values (16) 20
35.7%

행정동
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
농성1동
7 
양동
6 
화정1동
4 
풍암동
4 
금호2동
4 
Other values (13)
31 

Length

Max length4
Median length4
Mean length3.5
Min length2

Unique

Unique2 ?
Unique (%)3.6%

Sample

1st row농성2동
2nd row양동
3rd row양동
4th row양3동
5th row농성1동

Common Values

ValueCountFrequency (%)
농성1동 7
12.5%
양동 6
 
10.7%
화정1동 4
 
7.1%
풍암동 4
 
7.1%
금호2동 4
 
7.1%
농성2동 3
 
5.4%
광천동 3
 
5.4%
치평동 3
 
5.4%
상무1동 3
 
5.4%
화정2동 3
 
5.4%
Other values (8) 16
28.6%

Length

2023-12-12T18:25:10.539905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
농성1동 7
12.5%
양동 6
 
10.7%
화정1동 4
 
7.1%
풍암동 4
 
7.1%
금호2동 4
 
7.1%
상무1동 3
 
5.4%
상무2동 3
 
5.4%
화정3동 3
 
5.4%
화정2동 3
 
5.4%
치평동 3
 
5.4%
Other values (8) 16
28.6%

기타
Text

MISSING 

Distinct27
Distinct (%)56.2%
Missing8
Missing (%)14.3%
Memory size580.0 B
2023-12-12T18:25:10.738795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length17.104167
Min length4

Characters and Unicode

Total characters821
Distinct characters104
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

Unique22 ?
Unique (%)45.8%

Sample

1st row음향장비, 스피커, 빔프로젝터, 냉난방시설, 무대 완비
2nd row음향장비, 빔프로젝터, 냉난방시설 완비
3rd row책상, 의자
4th row냉난방시설 완비
5th row빔프로젝터, 냉난방시설 완비
ValueCountFrequency (%)
완비 33
21.0%
빔프로젝터 29
18.5%
냉난방시설 19
12.1%
음향장비 15
 
9.6%
냉난방기 4
 
2.5%
의자 4
 
2.5%
정수기 3
 
1.9%
앰프 2
 
1.3%
사용 2
 
1.3%
냉난방 2
 
1.3%
Other values (39) 44
28.0%
2023-12-12T18:25:11.058837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
 
13.3%
, 70
 
8.5%
비 50
 
6.1%
터 36
 
4.4%
프 35
 
4.3%
로 34
 
4.1%
젝 33
 
4.0%
완 33
 
4.0%
빔 32
 
3.9%
방 31
 
3.8%
Other values (94) 358
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 594
72.4%
Space Separator 109
 
13.3%
Other Punctuation 74
 
9.0%
Decimal Number 31
 
3.8%
Close Punctuation 5
 
0.6%
Open Punctuation 5
 
0.6%
Lowercase Letter 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 50
 
8.4%
터 36
 
6.1%
프 35
 
5.9%
로 34
 
5.7%
젝 33
 
5.6%
완 33
 
5.6%
빔 32
 
5.4%
방 31
 
5.2%
시 29
 
4.9%
설 27
 
4.5%
Other values (80) 254
42.8%
Decimal Number
ValueCountFrequency (%)
0 20
64.5%
1 4
 
12.9%
2 3
 
9.7%
3 2
 
6.5%
4 2
 
6.5%
Other Punctuation
ValueCountFrequency (%)
, 70
94.6%
/ 3
 
4.1%
: 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
d 1
50.0%
Space Separator
ValueCountFrequency (%)
109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 594
72.4%
Common 224
 
27.3%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 50
 
8.4%
터 36
 
6.1%
프 35
 
5.9%
로 34
 
5.7%
젝 33
 
5.6%
완 33
 
5.6%
빔 32
 
5.4%
방 31
 
5.2%
시 29
 
4.9%
설 27
 
4.5%
Other values (80) 254
42.8%
Common
ValueCountFrequency (%)
109
48.7%
, 70
31.2%
0 20
 
8.9%
) 5
 
2.2%
( 5
 
2.2%
1 4
 
1.8%
/ 3
 
1.3%
2 3
 
1.3%
3 2
 
0.9%
4 2
 
0.9%
Latin
ValueCountFrequency (%)
L 1
33.3%
c 1
33.3%
d 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 594
72.4%
ASCII 227
 
27.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
48.0%
, 70
30.8%
0 20
 
8.8%
) 5
 
2.2%
( 5
 
2.2%
1 4
 
1.8%
/ 3
 
1.3%
2 3
 
1.3%
3 2
 
0.9%
4 2
 
0.9%
Other values (4) 4
 
1.8%
Hangul
ValueCountFrequency (%)
비 50
 
8.4%
터 36
 
6.1%
프 35
 
5.9%
로 34
 
5.7%
젝 33
 
5.6%
완 33
 
5.6%
빔 32
 
5.4%
방 31
 
5.2%
시 29
 
4.9%
설 27
 
4.5%
Other values (80) 254
42.8%

Interactions

2023-12-12T18:25:06.886315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:25:11.151335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자원유형시설명주소상세위치수용인원(주차대수)개방시간사용료담당부서문의처행정동기타
자원유형1.0000.0000.0000.7260.6270.9070.6300.8200.8120.0000.999
시설명0.0001.0000.9990.8880.7840.9600.9811.0001.0001.0000.000
주소0.0000.9991.0000.7730.8070.9590.0000.9990.9981.0000.000
상세위치0.7260.8880.7731.0000.0000.0000.8550.0000.0000.0000.000
수용인원(주차대수)0.6270.7840.8070.0001.0000.7530.1950.9040.8450.7510.972
개방시간0.9070.9600.9590.0000.7531.0000.6970.9290.9360.6920.981
사용료0.6300.9810.0000.8550.1950.6971.0000.6540.9750.5441.000
담당부서0.8201.0000.9990.0000.9040.9290.6541.0001.0000.9740.922
문의처0.8121.0000.9980.0000.8450.9360.9751.0001.0000.9780.935
행정동0.0001.0001.0000.0000.7510.6920.5440.9740.9781.0000.000
기타0.9990.0000.0000.0000.9720.9811.0000.9220.9350.0001.000
2023-12-12T18:25:11.309181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동담당부서상세위치개방시간문의처자원유형사용료
행정동1.0000.6950.0000.2770.7030.0000.242
담당부서0.6951.0000.0000.5290.9840.4130.323
상세위치0.0000.0001.0000.0000.0000.3250.649
개방시간0.2770.5290.0001.0000.5370.6490.435
문의처0.7030.9840.0000.5371.0000.3950.694
자원유형0.0000.4130.3250.6490.3951.0000.506
사용료0.2420.3230.6490.4350.6940.5061.000
2023-12-12T18:25:11.471867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수용인원(주차대수)자원유형상세위치개방시간사용료담당부서문의처행정동
수용인원(주차대수)1.0000.4490.0000.4590.1340.4550.4290.402
자원유형0.4491.0000.3250.6490.5060.4130.3950.000
상세위치0.0000.3251.0000.0000.6490.0000.0000.000
개방시간0.4590.6490.0001.0000.4350.5290.5370.277
사용료0.1340.5060.6490.4351.0000.3230.6940.242
담당부서0.4550.4130.0000.5290.3231.0000.9840.695
문의처0.4290.3950.0000.5370.6940.9841.0000.703
행정동0.4020.0000.0000.2770.2420.6950.7031.000

Missing values

2023-12-12T18:25:07.059039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:25:07.240183image/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.
2023-12-12T18:25:07.375619image/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

자원유형시설명주소상세위치수용인원(주차대수)개방시간사용료담당부서문의처행정동기타
0회의실(공공시설)서구청 대회의실광주광역시 서구 경열로 332층200평일 9:00~21:00무료행정지원과062-360-7396농성2동음향장비, 스피커, 빔프로젝터, 냉난방시설, 무대 완비
1회의실(공공시설)양동주민센터광주광역시 서구 천변좌로222번길 3-23층70평일09:00~20:00무료양동주민센터062-350-4204양동음향장비, 빔프로젝터, 냉난방시설 완비
2회의실(공공시설)양동현장민원실광주광역시 서구 독립로200번길 73층5009:00~18:00무료양동주민센터062-350-4204양동책상, 의자
3회의실(공공시설)양3동주민센터광주광역시 서구 상무대로1223번길 162층5009:00~18:00무료양3동주민센터062-350-4224양3동냉난방시설 완비
4회의실(공공시설)농성1동주민센터광주광역시 서구 상무대로1189번길 232층10009:00~18:00무료농성1동주민센터062-350-4243농성1동빔프로젝터, 냉난방시설 완비
5회의실(공공시설)광천동주민센터광주광역시 서구 광천2길 92층8009:00~18:00무료광천동주민센터062-350-4283광천동방송시설, 냉난방시설 완비
6회의실(공공시설)유덕동주민센터광주광역시 서구 유덕로 242층/3층<NA>09:00~18:00무료유덕동주민센터062-350-4303유덕동빔프로젝터, 냉난방시설 완비
7회의실(공공시설)치평동주민센터광주광역시 서구 상무공원로 623층5009:00~18:00무료치평동주민센터062-350-4335치평동음향시설,빔크로젝터,냉난방시설 완비
8회의실(공공시설)상무1동행정복지센터광주광역시 서구 월드컵4강로197번길 20지하/2층<NA>09:00~18:00무료상무1동행정복지센터062-350-4344상무1동빔프로젝터, 냉난방시설 완비
9회의실(공공시설)상무2동행정복지센터광주광역시 서구 화정로85번길 172층/3층<NA>09:00~18:00무료상무2동행정복지센터062-350-4364상무2동빔프로젝터, 냉난방시설 완비
자원유형시설명주소상세위치수용인원(주차대수)개방시간사용료담당부서문의처행정동기타
46다목적실화정2동주민센터광주광역시 서구 화운로 94지하4009:00~18:00무료화정2동주민센터062-350-4404화정2동<NA>
47다목적실화정3동주민센터광주광역시 서구 월드컵4강로68번길 21지하5009:00~18:00무료화정3동주민센터062-350-4423화정3동냉난방시설, 앰프 및 빔프로젝터 완비, 대형 벽거울 설치
48다목적실화정4동행정복지센터광주광역시 서구 염화로83번길 3지하8009:00~18:00무료화정4동행정복지센터062-350-4444화정4동<NA>
49다목적실상록도서관광주광역시 서구 상무대로1171번길 11지하12평일, 토요일, 일요일, 공휴일 09:00~17:00 휴관일 제외무료상록도서관062-350-4593농성1동체육교실
50다목적실화정3동주민센터광주광역시 서구 월드컵4강로104번길 19-1지하1509:00~18:00무료화정3동주민센터062-350-4423화정3동커뮤티니공간/스터디룸, 컴퓨터1대, 주방시설보유
51다목적실서구장애인복지관광주광역시 서구 경열로 1271층15평일 09:00~18:00 (토,일,공휴일 제외)무료노인장애인복지과(서구장애인복지관)062-360-7310양동기타(체력단련실)
52다목적실서구장애인복지관광주광역시 서구 경열로 127지하12평일 09:00~18:00 (토,일,공휴일 제외)무료노인장애인복지과(서구장애인복지관)062-360-7310양동기타(탁구장)
53다목적실서구장애인복지관광주광역시 서구 경열로 127지하15평일 09:00~17:00 (토,일,공휴일 제외)무료노인장애인복지과(서구장애인복지관)062-360-7310양동기타(노래방)
54전시실서구문화센터광주광역시 서구 마재로 32층80평일, 주말 09:00~21:00 공휴일 휴무유료문화체육과062-360-7670금호2동<NA>
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