Overview

Dataset statistics

Number of variables3
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory852.0 B
Average record size in memory28.4 B

Variable types

Text3

Dataset

Description시군별 문화관광 해설사 운영 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=17B0GS799UT30R7K3E6U923743&infSeq=1

Alerts

시군명 has unique valuesUnique
해설대상지현황 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-16 05:52:21.433613
Analysis finished2023-12-16 05:52:23.428787
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-16T05:52:23.826386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1
Min length3

Characters and Unicode

Total characters93
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시
ValueCountFrequency (%)
가평군 1
 
3.3%
고양시 1
 
3.3%
하남시 1
 
3.3%
포천시 1
 
3.3%
평택시 1
 
3.3%
파주시 1
 
3.3%
이천시 1
 
3.3%
의정부시 1
 
3.3%
의왕시 1
 
3.3%
용인시 1
 
3.3%
Other values (20) 20
66.7%
2023-12-16T05:52:24.962374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
30.1%
6
 
6.5%
5
 
5.4%
5
 
5.4%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
2
 
2.2%
Other values (28) 32
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 93
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
30.1%
6
 
6.5%
5
 
5.4%
5
 
5.4%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
2
 
2.2%
Other values (28) 32
34.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
30.1%
6
 
6.5%
5
 
5.4%
5
 
5.4%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
2
 
2.2%
Other values (28) 32
34.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 93
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
28
30.1%
6
 
6.5%
5
 
5.4%
5
 
5.4%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
2
 
2.2%
Other values (28) 32
34.4%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-16T05:52:25.820107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length33.5
Mean length34.966667
Min length7

Characters and Unicode

Total characters1049
Distinct characters228
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row가평역, 청평역, 호명호수 공원, 이화원, 자라섬
2nd row행주산성, 서오릉, 서삼릉, 서삼릉 태실, 가와지볍씨박물관, 밤가시초가, 고양시현충전시관
3rd row과천향교, 온온사, 추사박물관
4th row광명동굴, 충현박물관, 업사이클아트센터, KTX광명역 광명시 홍보관
5th row남한산성, 경인천습지생태공원
ValueCountFrequency (%)
서삼릉 2
 
1.3%
가평역 1
 
0.6%
한택식물원 1
 
0.6%
고랑포구역사공원 1
 
0.6%
독산성과 1
 
0.6%
세마대지 1
 
0.6%
용인시박물관 1
 
0.6%
농경전시관 1
 
0.6%
농촌테마파크 1
 
0.6%
정몽주선생묘소 1
 
0.6%
Other values (144) 144
92.9%
2023-12-16T05:52:27.652369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
11.9%
, 112
 
10.7%
58
 
5.5%
26
 
2.5%
24
 
2.3%
21
 
2.0%
17
 
1.6%
17
 
1.6%
17
 
1.6%
15
 
1.4%
Other values (218) 617
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 795
75.8%
Space Separator 125
 
11.9%
Other Punctuation 113
 
10.8%
Decimal Number 9
 
0.9%
Uppercase Letter 5
 
0.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
 
7.3%
26
 
3.3%
24
 
3.0%
21
 
2.6%
17
 
2.1%
17
 
2.1%
17
 
2.1%
15
 
1.9%
15
 
1.9%
14
 
1.8%
Other values (205) 571
71.8%
Decimal Number
ValueCountFrequency (%)
5 3
33.3%
3 3
33.3%
6 1
 
11.1%
1 1
 
11.1%
9 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
K 2
40.0%
B 1
20.0%
X 1
20.0%
T 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 112
99.1%
. 1
 
0.9%
Space Separator
ValueCountFrequency (%)
125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 795
75.8%
Common 249
 
23.7%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
 
7.3%
26
 
3.3%
24
 
3.0%
21
 
2.6%
17
 
2.1%
17
 
2.1%
17
 
2.1%
15
 
1.9%
15
 
1.9%
14
 
1.8%
Other values (205) 571
71.8%
Common
ValueCountFrequency (%)
125
50.2%
, 112
45.0%
5 3
 
1.2%
3 3
 
1.2%
- 2
 
0.8%
6 1
 
0.4%
1 1
 
0.4%
. 1
 
0.4%
9 1
 
0.4%
Latin
ValueCountFrequency (%)
K 2
40.0%
B 1
20.0%
X 1
20.0%
T 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 795
75.8%
ASCII 254
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
49.2%
, 112
44.1%
5 3
 
1.2%
3 3
 
1.2%
- 2
 
0.8%
K 2
 
0.8%
6 1
 
0.4%
B 1
 
0.4%
X 1
 
0.4%
T 1
 
0.4%
Other values (3) 3
 
1.2%
Hangul
ValueCountFrequency (%)
58
 
7.3%
26
 
3.3%
24
 
3.0%
21
 
2.6%
17
 
2.1%
17
 
2.1%
17
 
2.1%
15
 
1.9%
15
 
1.9%
14
 
1.8%
Other values (205) 571
71.8%

연락처
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-16T05:52:28.575011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.233333
Min length12

Characters and Unicode

Total characters367
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

Unique30 ?
Unique (%)100.0%

Sample

1st row031-580-2518
2nd row031-8075-3407
3rd row02-3677-2472
4th row02-2680-6857
5th row031-760-2634
ValueCountFrequency (%)
031-580-2518 1
 
3.3%
031-8075-3407 1
 
3.3%
031-5182-1437 1
 
3.3%
031-538-4013 1
 
3.3%
031-8024-3241 1
 
3.3%
031-940-8514 1
 
3.3%
031-645-3678 1
 
3.3%
031-828-4354 1
 
3.3%
031-345-2549 1
 
3.3%
031-324-2068 1
 
3.3%
Other values (20) 20
66.7%
2023-12-16T05:52:29.758294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 60
16.3%
0 53
14.4%
3 48
13.1%
1 42
11.4%
2 34
9.3%
8 29
7.9%
5 24
 
6.5%
7 23
 
6.3%
4 22
 
6.0%
6 21
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 307
83.7%
Dash Punctuation 60
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
17.3%
3 48
15.6%
1 42
13.7%
2 34
11.1%
8 29
9.4%
5 24
7.8%
7 23
7.5%
4 22
7.2%
6 21
 
6.8%
9 11
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 367
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 60
16.3%
0 53
14.4%
3 48
13.1%
1 42
11.4%
2 34
9.3%
8 29
7.9%
5 24
 
6.5%
7 23
 
6.3%
4 22
 
6.0%
6 21
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 367
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 60
16.3%
0 53
14.4%
3 48
13.1%
1 42
11.4%
2 34
9.3%
8 29
7.9%
5 24
 
6.5%
7 23
 
6.3%
4 22
 
6.0%
6 21
 
5.7%

Correlations

2023-12-16T05:52:30.633399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명해설대상지현황연락처
시군명1.0001.0001.000
해설대상지현황1.0001.0001.000
연락처1.0001.0001.000

Missing values

2023-12-16T05:52:22.592514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T05:52:23.251688image/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

시군명해설대상지현황연락처
0가평군가평역, 청평역, 호명호수 공원, 이화원, 자라섬031-580-2518
1고양시행주산성, 서오릉, 서삼릉, 서삼릉 태실, 가와지볍씨박물관, 밤가시초가, 고양시현충전시관031-8075-3407
2과천시과천향교, 온온사, 추사박물관02-3677-2472
3광명시광명동굴, 충현박물관, 업사이클아트센터, KTX광명역 광명시 홍보관02-2680-6857
4광주시남한산성, 경인천습지생태공원031-760-2634
5구리시동구릉, 고구려대장간마을, 망우리공원, 갈매도당굿전수관031-550-8353
6김포시덕포진, 장릉-우서서원, 함상공원, 독립운동기념관, 애기봉평화생태공원031-980-5110
7남양주시정약용유적지, 홍유릉, 광릉, 사릉031-590-5382
8동두천시소요산관광지,031-860-2067
9부천시부천향토역사관, 옹기박물관, 활박물관, 펄벅기념관, 부천시티투어, 아트벙커B39, 부천시립박물관 통합관, 찾아가는 해설 대기032-625-2971
시군명해설대상지현황연락처
20오산시독산성과 세마대지031-8036-7972
21용인시용인시박물관, 농경전시관, 농촌테마파크, 정몽주선생묘소, 한택식물원, 한국등잔박물관, 은이성지, 처인성, 중앙시장031-324-2068
22의왕시왕림마을, 왕송호수공원, 의왕조류생태과학관, 임영대군 묘역 및 사당, 하우현성당031-345-2549
23의정부시종합관광안내소, 퓨전문화관광홍보관031-828-4354
24이천시이천시립박물관, 서희역사박물관031-645-3678
25파주시임진각, 갤러리그리브스, 도라전망대, 이이유적지, 황희선생유적지, 윤관장군묘, 파주삼릉, 파주장릉, 혜음원지031-940-8514
26평택시평택호관광안내소, 평택항관광안내소, K-55부대앞관광안내소, 정도전사당, 지영희국악관, 평택원효대사깨달음체험관, 원릉군기념관, 예술인광장관광안내소, 평택역365민원센터031-8024-3241
27포천시산정호수, 포천아트밸리, 고모호수공원031-538-4013
28하남시광주향교, 이성산성, 검단산, 일가기념관, 관광안내소031-5182-1437
29화성시융건릉, 용주사, 우리꽃식물원, 당성, 공룡알화석산지031-5189-2667