Overview

Dataset statistics

Number of variables5
Number of observations151
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.0 KiB
Average record size in memory40.9 B

Variable types

Categorical3
Text2

Dataset

Description강원특별자치도 소재 테마파크 등 유원시설업 현황에 대한 자료를 제공합니다. - 제공 데이터 : 시군구명, 사업장명, 도로명전체주소, 문화체육업종명, 유원시설업상세명
URLhttps://www.data.go.kr/data/3045473/fileData.do

Alerts

문화체육업종명 has constant value ""Constant

Reproduction

Analysis started2023-12-11 23:34:47.057064
Analysis finished2023-12-11 23:34:47.614920
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

Distinct16
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
원주시
27 
평창군
22 
춘천시
19 
강릉시
13 
속초시
11 
Other values (11)
59 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row춘천시
2nd row춘천시
3rd row속초시
4th row속초시
5th row삼척시

Common Values

ValueCountFrequency (%)
원주시 27
17.9%
평창군 22
14.6%
춘천시 19
12.6%
강릉시 13
8.6%
속초시 11
7.3%
홍천군 9
 
6.0%
동해시 8
 
5.3%
삼척시 7
 
4.6%
정선군 7
 
4.6%
태백시 6
 
4.0%
Other values (6) 22
14.6%

Length

2023-12-12T08:34:47.702255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원주시 27
17.9%
평창군 22
14.6%
춘천시 19
12.6%
강릉시 13
8.6%
속초시 11
7.3%
홍천군 9
 
6.0%
동해시 8
 
5.3%
삼척시 7
 
4.6%
정선군 7
 
4.6%
태백시 6
 
4.0%
Other values (6) 22
14.6%

사업장명
Text

Distinct148
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T08:34:48.040998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.1258278
Min length3

Characters and Unicode

Total characters1227
Distinct characters290
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)96.0%

Sample

1st row육림랜드
2nd row레고랜드코리아
3rd row설악워터피아(한화호텔앤드리조트)
4th row롯데리조트 속초 워터파크
5th row㈜하이원 추추파크
ValueCountFrequency (%)
㈜소노인터내셔널 4
 
1.9%
노리파크 3
 
1.4%
키즈카페 3
 
1.4%
캠핑장 3
 
1.4%
㈜케이커머스 2
 
0.9%
바운스 2
 
0.9%
철원점 2
 
0.9%
쁘띠몽드 2
 
0.9%
오션플레이 2
 
0.9%
휴앤조이 2
 
0.9%
Other values (186) 189
88.3%
2023-12-12T08:34:48.579820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
5.2%
이 50
 
4.1%
리 33
 
2.7%
크 31
 
2.5%
파 27
 
2.2%
스 26
 
2.1%
원 26
 
2.1%
키 25
 
2.0%
점 25
 
2.0%
드 23
 
1.9%
Other values (280) 897
73.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1088
88.7%
Space Separator 64
 
5.2%
Other Symbol 22
 
1.8%
Open Punctuation 18
 
1.5%
Close Punctuation 18
 
1.5%
Uppercase Letter 14
 
1.1%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 50
 
4.6%
리 33
 
3.0%
크 31
 
2.8%
파 27
 
2.5%
스 26
 
2.4%
원 26
 
2.4%
키 25
 
2.3%
점 25
 
2.3%
드 23
 
2.1%
즈 22
 
2.0%
Other values (265) 800
73.5%
Uppercase Letter
ValueCountFrequency (%)
S 3
21.4%
O 2
14.3%
R 2
14.3%
E 2
14.3%
Z 1
 
7.1%
V 1
 
7.1%
N 1
 
7.1%
J 1
 
7.1%
G 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
7 1
33.3%
Space Separator
ValueCountFrequency (%)
64
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1110
90.5%
Common 103
 
8.4%
Latin 14
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 50
 
4.5%
리 33
 
3.0%
크 31
 
2.8%
파 27
 
2.4%
스 26
 
2.3%
원 26
 
2.3%
키 25
 
2.3%
점 25
 
2.3%
드 23
 
2.1%
㈜ 22
 
2.0%
Other values (266) 822
74.1%
Latin
ValueCountFrequency (%)
S 3
21.4%
O 2
14.3%
R 2
14.3%
E 2
14.3%
Z 1
 
7.1%
V 1
 
7.1%
N 1
 
7.1%
J 1
 
7.1%
G 1
 
7.1%
Common
ValueCountFrequency (%)
64
62.1%
( 18
 
17.5%
) 18
 
17.5%
0 2
 
1.9%
7 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1088
88.7%
ASCII 117
 
9.5%
None 22
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
54.7%
( 18
 
15.4%
) 18
 
15.4%
S 3
 
2.6%
O 2
 
1.7%
R 2
 
1.7%
0 2
 
1.7%
E 2
 
1.7%
Z 1
 
0.9%
V 1
 
0.9%
Other values (4) 4
 
3.4%
Hangul
ValueCountFrequency (%)
이 50
 
4.6%
리 33
 
3.0%
크 31
 
2.8%
파 27
 
2.5%
스 26
 
2.4%
원 26
 
2.4%
키 25
 
2.3%
점 25
 
2.3%
드 23
 
2.1%
즈 22
 
2.0%
Other values (265) 800
73.5%
None
ValueCountFrequency (%)
㈜ 22
100.0%

소재지
Text

Distinct134
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T08:34:49.071156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length25
Mean length12.529801
Min length6

Characters and Unicode

Total characters1892
Distinct characters193
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

Unique123 ?
Unique (%)81.5%

Sample

1st row영서로 2965
2nd row중도동 603
3rd row미시령로 2983번길 88
4th row대포항길 186
5th row도계읍 심포남길 99
ValueCountFrequency (%)
대관령면 14
 
3.1%
신림면 10
 
2.2%
2층 9
 
2.0%
솔봉로 8
 
1.8%
325 7
 
1.5%
토성면 6
 
1.3%
서면 6
 
1.3%
지정면 6
 
1.3%
알펜시아 5
 
1.1%
신림황둔로 5
 
1.1%
Other values (285) 377
83.2%
2023-12-12T08:34:49.670642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
305
 
16.1%
1 113
 
6.0%
로 99
 
5.2%
2 77
 
4.1%
면 74
 
3.9%
5 62
 
3.3%
길 61
 
3.2%
3 60
 
3.2%
4 45
 
2.4%
6 42
 
2.2%
Other values (183) 954
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 982
51.9%
Decimal Number 539
28.5%
Space Separator 305
 
16.1%
Dash Punctuation 34
 
1.8%
Other Punctuation 32
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 99
 
10.1%
면 74
 
7.5%
길 61
 
6.2%
층 22
 
2.2%
령 21
 
2.1%
대 21
 
2.1%
림 20
 
2.0%
신 19
 
1.9%
동 19
 
1.9%
리 18
 
1.8%
Other values (170) 608
61.9%
Decimal Number
ValueCountFrequency (%)
1 113
21.0%
2 77
14.3%
5 62
11.5%
3 60
11.1%
4 45
 
8.3%
6 42
 
7.8%
0 40
 
7.4%
8 38
 
7.1%
7 35
 
6.5%
9 27
 
5.0%
Space Separator
ValueCountFrequency (%)
305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 982
51.9%
Common 910
48.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 99
 
10.1%
면 74
 
7.5%
길 61
 
6.2%
층 22
 
2.2%
령 21
 
2.1%
대 21
 
2.1%
림 20
 
2.0%
신 19
 
1.9%
동 19
 
1.9%
리 18
 
1.8%
Other values (170) 608
61.9%
Common
ValueCountFrequency (%)
305
33.5%
1 113
 
12.4%
2 77
 
8.5%
5 62
 
6.8%
3 60
 
6.6%
4 45
 
4.9%
6 42
 
4.6%
0 40
 
4.4%
8 38
 
4.2%
7 35
 
3.8%
Other values (3) 93
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 982
51.9%
ASCII 910
48.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
33.5%
1 113
 
12.4%
2 77
 
8.5%
5 62
 
6.8%
3 60
 
6.6%
4 45
 
4.9%
6 42
 
4.6%
0 40
 
4.4%
8 38
 
4.2%
7 35
 
3.8%
Other values (3) 93
 
10.2%
Hangul
ValueCountFrequency (%)
로 99
 
10.1%
면 74
 
7.5%
길 61
 
6.2%
층 22
 
2.2%
령 21
 
2.1%
대 21
 
2.1%
림 20
 
2.0%
신 19
 
1.9%
동 19
 
1.9%
리 18
 
1.8%
Other values (170) 608
61.9%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
유원시설업
151 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유원시설업 151
100.0%

Length

2023-12-12T08:34:49.807240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:34:49.960228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유원시설업 151
100.0%

유원시설업상세명
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
기타유원시설업
96 
일반유원시설업
44 
종합유원시설업
11 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타유원시설업 96
63.6%
일반유원시설업 44
29.1%
종합유원시설업 11
 
7.3%

Length

2023-12-12T08:34:50.065422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:34:50.441363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타유원시설업 96
63.6%
일반유원시설업 44
29.1%
종합유원시설업 11
 
7.3%

Correlations

2023-12-12T08:34:50.514619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군유원시설업상세명
시군1.0000.397
유원시설업상세명0.3971.000
2023-12-12T08:34:50.593608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군유원시설업상세명
시군1.0000.224
유원시설업상세명0.2241.000
2023-12-12T08:34:50.671587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군유원시설업상세명
시군1.0000.224
유원시설업상세명0.2241.000

Missing values

2023-12-12T08:34:47.445491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:34:47.567837image/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

시군사업장명소재지문화체육업종명유원시설업상세명
0춘천시육림랜드영서로 2965유원시설업종합유원시설업
1춘천시레고랜드코리아중도동 603유원시설업종합유원시설업
2속초시설악워터피아(한화호텔앤드리조트)미시령로 2983번길 88유원시설업종합유원시설업
3속초시롯데리조트 속초 워터파크대포항길 186유원시설업종합유원시설업
4삼척시㈜하이원 추추파크도계읍 심포남길 99유원시설업종합유원시설업
5홍천군㈜소노인터내셔널 오션월드서면 한치골길 264유원시설업종합유원시설업
6횡성군웰리힐리 파크 워터플래닛둔내면 고원로 451유원시설업종합유원시설업
7평창군피크아일랜드(용평리조트)대관령면 올림픽로 715유원시설업종합유원시설업
8평창군블루캐니언(㈜휘닉스중앙)봉평면 태기로 174유원시설업종합유원시설업
9평창군오션 700(케이에이치강원개발주식회사)대관령면 솔봉로 325유원시설업종합유원시설업
시군사업장명소재지문화체육업종명유원시설업상세명
141철원군하오재캠핑장근남면 하오재로 1235유원시설업기타유원시설업
142철원군노리파크 철원점동송읍 금학로 172유원시설업기타유원시설업
143철원군산호방방철원읍 금학로279번길 12-22유원시설업기타유원시설업
144양구군배꼬미키즈카페양구읍 사명길 40-15유원시설업기타유원시설업
145양구군양구 조이나믹 체험장해안면 해안서화로 47-6유원시설업기타유원시설업
146인제군㈜인제스피디움기린면 상하답로 130유원시설업기타유원시설업
147인제군노리파크 인제점인제읍 인제로 193번길 1, 302호유원시설업기타유원시설업
148고성군㈜소노인터내셔널 설악지점토성면 미시령옛길 1153유원시설업기타유원시설업
149고성군코코몽키즈월드토성면 동해대로 4800유원시설업기타유원시설업
150고성군휴앤조이토성면 미시령옛길 1153유원시설업기타유원시설업