Overview

Dataset statistics

Number of variables9
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory75.8 B

Variable types

Numeric1
Categorical3
Text2
Boolean2
DateTime1

Dataset

Description0 관광진흥법 시행규칙 제11조에 따른 시설 및 설비기준을 갖추고 유원시설업의 신고를 받아 시군구에 등록한 업체 현황임 0 광주광역시 유원시설업 현황
URLhttps://www.data.go.kr/data/3082928/fileData.do

Alerts

영업상태명 has constant value ""Constant
상세영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 키즈카페여부High correlation
구분 is highly overall correlated with 키즈카페여부High correlation
키즈카페여부 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
구분 is highly imbalanced (60.0%)Imbalance
물놀이형여부 is highly imbalanced (85.1%)Imbalance
연번 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:45:08.042273
Analysis finished2023-12-12 22:45:08.747143
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-13T07:45:08.816186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q112.5
median24
Q335.5
95-th percentile44.7
Maximum47
Range46
Interquartile range (IQR)23

Descriptive statistics

Standard deviation13.711309
Coefficient of variation (CV)0.57130455
Kurtosis-1.2
Mean24
Median Absolute Deviation (MAD)12
Skewness0
Sum1128
Variance188
MonotonicityStrictly increasing
2023-12-13T07:45:08.956564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 1
 
2.1%
2 1
 
2.1%
27 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%
38 1
2.1%

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
유원시설업(기타)
41 
일반유원시설업
5 
종합유원시설업
 
1

Length

Max length9
Median length9
Mean length8.7446809
Min length7

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st row종합유원시설업
2nd row일반유원시설업
3rd row일반유원시설업
4th row일반유원시설업
5th row일반유원시설업

Common Values

ValueCountFrequency (%)
유원시설업(기타) 41
87.2%
일반유원시설업 5
 
10.6%
종합유원시설업 1
 
2.1%

Length

2023-12-13T07:45:09.092336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:45:09.206177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유원시설업(기타 41
87.2%
일반유원시설업 5
 
10.6%
종합유원시설업 1
 
2.1%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업/정상
47 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 47
100.0%

Length

2023-12-13T07:45:09.320277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:45:09.410259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 47
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
영업중
47 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 47
100.0%

Length

2023-12-13T07:45:09.520097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:45:09.639868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 47
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T07:45:09.908628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length33
Mean length27.595745
Min length17

Characters and Unicode

Total characters1297
Distinct characters145
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row광주광역시 북구 우치로 677 (생용동)
2nd row광주 동구 충장로안길 40-2 (황금동)
3rd row광주 동구 충장로안길 24-12 (황금동)
4th row광주 동구 지호로로164번길 14-10 (지산동)
5th row광주 동구 지호로164번길 21 (지산동)
ValueCountFrequency (%)
광주 45
 
16.1%
북구 17
 
6.1%
광산구 14
 
5.0%
동구 6
 
2.1%
서구 6
 
2.1%
2층 6
 
2.1%
남구 4
 
1.4%
장신로 4
 
1.4%
장덕동 4
 
1.4%
4층 3
 
1.1%
Other values (140) 171
61.1%
2023-12-13T07:45:10.387560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
234
 
18.0%
광 68
 
5.2%
동 55
 
4.2%
로 51
 
3.9%
주 49
 
3.8%
1 48
 
3.7%
구 47
 
3.6%
) 46
 
3.5%
( 46
 
3.5%
, 41
 
3.2%
Other values (135) 612
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 694
53.5%
Space Separator 234
 
18.0%
Decimal Number 221
 
17.0%
Close Punctuation 46
 
3.5%
Open Punctuation 46
 
3.5%
Other Punctuation 42
 
3.2%
Dash Punctuation 12
 
0.9%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 68
 
9.8%
동 55
 
7.9%
로 51
 
7.3%
주 49
 
7.1%
구 47
 
6.8%
층 29
 
4.2%
산 21
 
3.0%
길 18
 
2.6%
북 17
 
2.4%
번 16
 
2.3%
Other values (117) 323
46.5%
Decimal Number
ValueCountFrequency (%)
1 48
21.7%
2 37
16.7%
0 24
10.9%
3 20
9.0%
4 20
9.0%
6 19
 
8.6%
7 17
 
7.7%
5 17
 
7.7%
9 10
 
4.5%
8 9
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 41
97.6%
※ 1
 
2.4%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
234
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 694
53.5%
Common 601
46.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 68
 
9.8%
동 55
 
7.9%
로 51
 
7.3%
주 49
 
7.1%
구 47
 
6.8%
층 29
 
4.2%
산 21
 
3.0%
길 18
 
2.6%
북 17
 
2.4%
번 16
 
2.3%
Other values (117) 323
46.5%
Common
ValueCountFrequency (%)
234
38.9%
1 48
 
8.0%
) 46
 
7.7%
( 46
 
7.7%
, 41
 
6.8%
2 37
 
6.2%
0 24
 
4.0%
3 20
 
3.3%
4 20
 
3.3%
6 19
 
3.2%
Other values (6) 66
 
11.0%
Latin
ValueCountFrequency (%)
N 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 694
53.5%
ASCII 602
46.4%
Punctuation 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
234
38.9%
1 48
 
8.0%
) 46
 
7.6%
( 46
 
7.6%
, 41
 
6.8%
2 37
 
6.1%
0 24
 
4.0%
3 20
 
3.3%
4 20
 
3.3%
6 19
 
3.2%
Other values (7) 67
 
11.1%
Hangul
ValueCountFrequency (%)
광 68
 
9.8%
동 55
 
7.9%
로 51
 
7.3%
주 49
 
7.1%
구 47
 
6.8%
층 29
 
4.2%
산 21
 
3.0%
길 18
 
2.6%
북 17
 
2.4%
번 16
 
2.3%
Other values (117) 323
46.5%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

사업장명
Text

Distinct45
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T07:45:10.648077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length7.212766
Min length3

Characters and Unicode

Total characters339
Distinct characters131
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)91.5%

Sample

1st row광주패밀리랜드(주)
2nd row노리존
3rd row조이플렉스 광주점 ㈜루덴스
4th row㈜무등파크리조트
5th row지산유원지 놀이공원
ValueCountFrequency (%)
키즈카페 4
 
5.8%
월드킹 3
 
4.3%
광주점 3
 
4.3%
캠프 2
 
2.9%
vr 2
 
2.9%
트램폴린파크 1
 
1.4%
아쿠아시티광주 1
 
1.4%
바니바니 1
 
1.4%
점핑존 1
 
1.4%
매곡점 1
 
1.4%
Other values (50) 50
72.5%
2023-12-13T07:45:11.025633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
6.5%
점 15
 
4.4%
이 13
 
3.8%
스 13
 
3.8%
주 12
 
3.5%
키 11
 
3.2%
리 10
 
2.9%
즈 10
 
2.9%
광 9
 
2.7%
드 8
 
2.4%
Other values (121) 216
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
84.7%
Space Separator 22
 
6.5%
Uppercase Letter 16
 
4.7%
Close Punctuation 4
 
1.2%
Other Symbol 4
 
1.2%
Open Punctuation 4
 
1.2%
Decimal Number 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 15
 
5.2%
이 13
 
4.5%
스 13
 
4.5%
주 12
 
4.2%
키 11
 
3.8%
리 10
 
3.5%
즈 10
 
3.5%
광 9
 
3.1%
드 8
 
2.8%
아 8
 
2.8%
Other values (102) 178
62.0%
Uppercase Letter
ValueCountFrequency (%)
E 2
12.5%
R 2
12.5%
V 2
12.5%
O 1
 
6.2%
K 1
 
6.2%
I 1
 
6.2%
N 1
 
6.2%
Z 1
 
6.2%
M 1
 
6.2%
A 1
 
6.2%
Other values (3) 3
18.8%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
85.8%
Common 32
 
9.4%
Latin 16
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 15
 
5.2%
이 13
 
4.5%
스 13
 
4.5%
주 12
 
4.1%
키 11
 
3.8%
리 10
 
3.4%
즈 10
 
3.4%
광 9
 
3.1%
드 8
 
2.7%
아 8
 
2.7%
Other values (103) 182
62.5%
Latin
ValueCountFrequency (%)
E 2
12.5%
R 2
12.5%
V 2
12.5%
O 1
 
6.2%
K 1
 
6.2%
I 1
 
6.2%
N 1
 
6.2%
Z 1
 
6.2%
M 1
 
6.2%
A 1
 
6.2%
Other values (3) 3
18.8%
Common
ValueCountFrequency (%)
22
68.8%
) 4
 
12.5%
( 4
 
12.5%
2 1
 
3.1%
& 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
84.7%
ASCII 48
 
14.2%
None 4
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
45.8%
) 4
 
8.3%
( 4
 
8.3%
E 2
 
4.2%
R 2
 
4.2%
V 2
 
4.2%
2 1
 
2.1%
O 1
 
2.1%
& 1
 
2.1%
K 1
 
2.1%
Other values (8) 8
 
16.7%
Hangul
ValueCountFrequency (%)
점 15
 
5.2%
이 13
 
4.5%
스 13
 
4.5%
주 12
 
4.2%
키 11
 
3.8%
리 10
 
3.5%
즈 10
 
3.5%
광 9
 
3.1%
드 8
 
2.8%
아 8
 
2.8%
Other values (102) 178
62.0%
None
ValueCountFrequency (%)
㈜ 4
100.0%

물놀이형여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size179.0 B
False
46 
True
 
1
ValueCountFrequency (%)
False 46
97.9%
True 1
 
2.1%
2023-12-13T07:45:11.137628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

키즈카페여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size179.0 B
True
35 
False
12 
ValueCountFrequency (%)
True 35
74.5%
False 12
 
25.5%
2023-12-13T07:45:11.207486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2023-07-31 00:00:00
Maximum2023-07-31 00:00:00
2023-12-13T07:45:11.289161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:45:11.382179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:45:08.440433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:45:11.459978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분소재지도로명주소사업장명물놀이형여부키즈카페여부
연번1.0000.6891.0000.9740.0000.856
구분0.6891.0001.0001.0000.0000.402
소재지도로명주소1.0001.0001.0001.0001.0001.000
사업장명0.9741.0001.0001.0001.0001.000
물놀이형여부0.0000.0001.0001.0001.0000.000
키즈카페여부0.8560.4021.0001.0000.0001.000
2023-12-13T07:45:11.590439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분키즈카페여부물놀이형여부
구분1.0000.6260.000
키즈카페여부0.6261.0000.000
물놀이형여부0.0000.0001.000
2023-12-13T07:45:11.695825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분물놀이형여부키즈카페여부
연번1.0000.4950.0000.623
구분0.4951.0000.0000.626
물놀이형여부0.0000.0001.0000.000
키즈카페여부0.6230.6260.0001.000

Missing values

2023-12-13T07:45:08.553473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:45:08.692580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번구분영업상태명상세영업상태명소재지도로명주소사업장명물놀이형여부키즈카페여부데이터기준일자
01종합유원시설업영업/정상영업중광주광역시 북구 우치로 677 (생용동)광주패밀리랜드(주)NN2023-07-31
12일반유원시설업영업/정상영업중광주 동구 충장로안길 40-2 (황금동)노리존NN2023-07-31
23일반유원시설업영업/정상영업중광주 동구 충장로안길 24-12 (황금동)조이플렉스 광주점 ㈜루덴스NN2023-07-31
34일반유원시설업영업/정상영업중광주 동구 지호로로164번길 14-10 (지산동)㈜무등파크리조트NN2023-07-31
45일반유원시설업영업/정상영업중광주 동구 지호로164번길 21 (지산동)지산유원지 놀이공원NN2023-07-31
56일반유원시설업영업/정상영업중광주 북구 첨단과기로 235(오룡동)국립광주과학관NN2023-07-31
67유원시설업(기타)영업/정상영업중광주 동구 중앙로160번길 16-13, 1층 (불로동)캠프 VRNN2023-07-31
78유원시설업(기타)영업/정상영업중광주 동구 중앙로160번길 16-13, 2층 (불로동)아쿠아팡NY2023-07-31
89유원시설업(기타)영업/정상영업중광주 서구 무진대로 904, 유스퀘어(광천터미널) 2층 (광천동)캠프 VRNN2023-07-31
910유원시설업(기타)영업/정상영업중광주 서구 풍암2로 2, 5층 (풍암동, 롯데슈퍼센터)월드킹NY2023-07-31
연번구분영업상태명상세영업상태명소재지도로명주소사업장명물놀이형여부키즈카페여부데이터기준일자
3738유원시설업(기타)영업/정상영업중광주 광산구 장신로 85, 수영빌딩 10층 1001호 (장덕동)아틀란티스 광주점NY2023-07-31
3839유원시설업(기타)영업/정상영업중광주 광산구 첨단강변로87번길 5, 야스텍타워 6층(쌍암동)플레이원NY2023-07-31
3940유원시설업(기타)영업/정상영업중광주 광산구 장신로50번길 9-16, 센터빌딩 4층 (장덕동)베베엔젤NY2023-07-31
4041유원시설업(기타)영업/정상영업중광주 광산구 장신로 89, 롯데마트㈜케이커머스NN2023-07-31
4142유원시설업(기타)영업/정상영업중광주 광산구 풍영철길로 25-5, 3층 301호(우산동)점핑고플러스NY2023-07-31
4243유원시설업(기타)영업/정상영업중광주 광산구 목련로273번길 99 (운남동)요요플레이방NY2023-07-31
4344유원시설업(기타)영업/정상영업중광주 광산구 하남동 1197번지 501호키즈다쿵2NY2023-07-31
4445유원시설업(기타)영업/정상영업중광주 광산구 임방울대로 154-7 (운남동, 수호빌딩)점프노리 키즈카페 광주운남점NY2023-07-31
4546유원시설업(기타)영업/정상영업중광주 광산구 장신로 76 (장덕동)월드킹NY2023-07-31
4647유원시설업(기타)영업/정상영업중광주 광산구 임방울대로 325, 5층 (수완동)모넬로 수완점NY2023-07-31