Overview

Dataset statistics

Number of variables5
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory42.0 B

Variable types

Categorical1
Text4

Dataset

Description대전 충청 지역의 MICE 관련 서비스업체 정보입니다.
Author대전관광공사
URLhttps://www.data.go.kr/data/15020829/fileData.do

Alerts

기관명 has unique valuesUnique
전화 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:38:00.433402
Analysis finished2023-12-12 21:38:01.042773
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct9
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size668.0 B
행정지원
16 
호텔
12 
행사기획사
11 
교통
7 
문화
7 
Other values (4)
14 

Length

Max length5
Median length4
Mean length3.1940299
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정지원 16
23.9%
호텔 12
17.9%
행사기획사 11
16.4%
교통 7
10.4%
문화 7
10.4%
디자인 5
 
7.5%
여행사 4
 
6.0%
쇼핑 3
 
4.5%
컨벤션시설 2
 
3.0%

Length

2023-12-13T06:38:01.115879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:38:01.249183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정지원 16
23.9%
호텔 12
17.9%
행사기획사 11
16.4%
교통 7
10.4%
문화 7
10.4%
디자인 5
 
7.5%
여행사 4
 
6.0%
쇼핑 3
 
4.5%
컨벤션시설 2
 
3.0%

기관명
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-13T06:38:01.523638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length7.3283582
Min length2

Characters and Unicode

Total characters491
Distinct characters166
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)100.0%

Sample

1st row대전시개인택시운송사업조합
2nd row대전광역시택시운송사업조합
3rd rowCJ대한통운㈜
4th row대한항공대전지점
5th row아시아나항공대전지점
ValueCountFrequency (%)
대전시개인택시운송사업조합 1
 
1.4%
대전오월드 1
 
1.4%
사)한국외식업중앙회 1
 
1.4%
사)유성관광진흥협의회 1
 
1.4%
우송대학교 1
 
1.4%
부여군 1
 
1.4%
배재대학교 1
 
1.4%
대전세종연구원 1
 
1.4%
대전광역시관광협회 1
 
1.4%
문화산업과 1
 
1.4%
Other values (62) 62
86.1%
2023-12-13T06:38:01.955357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 30
 
6.1%
전 24
 
4.9%
시 14
 
2.9%
사 13
 
2.6%
텔 11
 
2.2%
지 10
 
2.0%
호 10
 
2.0%
광 10
 
2.0%
리 9
 
1.8%
공 9
 
1.8%
Other values (156) 351
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
93.5%
Uppercase Letter 11
 
2.2%
Other Symbol 8
 
1.6%
Space Separator 5
 
1.0%
Open Punctuation 4
 
0.8%
Close Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 30
 
6.5%
전 24
 
5.2%
시 14
 
3.1%
사 13
 
2.8%
텔 11
 
2.4%
지 10
 
2.2%
호 10
 
2.2%
광 10
 
2.2%
리 9
 
2.0%
공 9
 
2.0%
Other values (146) 319
69.5%
Uppercase Letter
ValueCountFrequency (%)
C 5
45.5%
J 2
 
18.2%
I 1
 
9.1%
B 1
 
9.1%
T 1
 
9.1%
D 1
 
9.1%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
95.1%
Common 13
 
2.6%
Latin 11
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 30
 
6.4%
전 24
 
5.1%
시 14
 
3.0%
사 13
 
2.8%
텔 11
 
2.4%
지 10
 
2.1%
호 10
 
2.1%
광 10
 
2.1%
리 9
 
1.9%
공 9
 
1.9%
Other values (147) 327
70.0%
Latin
ValueCountFrequency (%)
C 5
45.5%
J 2
 
18.2%
I 1
 
9.1%
B 1
 
9.1%
T 1
 
9.1%
D 1
 
9.1%
Common
ValueCountFrequency (%)
5
38.5%
( 4
30.8%
) 4
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
93.5%
ASCII 24
 
4.9%
None 8
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 30
 
6.5%
전 24
 
5.2%
시 14
 
3.1%
사 13
 
2.8%
텔 11
 
2.4%
지 10
 
2.2%
호 10
 
2.2%
광 10
 
2.2%
리 9
 
2.0%
공 9
 
2.0%
Other values (146) 319
69.5%
None
ValueCountFrequency (%)
㈜ 8
100.0%
ASCII
ValueCountFrequency (%)
5
20.8%
C 5
20.8%
( 4
16.7%
) 4
16.7%
J 2
 
8.3%
I 1
 
4.2%
B 1
 
4.2%
T 1
 
4.2%
D 1
 
4.2%

전화
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-13T06:38:02.231162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.044776
Min length12

Characters and Unicode

Total characters807
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)100.0%

Sample

1st row042-583-6460
2nd row042-527-1241
3rd row02-3782-0263
4th row042-488-9968
5th row042-255-9004
ValueCountFrequency (%)
042-583-6460 1
 
1.5%
042-531-5600 1
 
1.5%
042-864-0083 1
 
1.5%
042-522-5607 1
 
1.5%
042-853-0707 1
 
1.5%
041-850-8672 1
 
1.5%
041-840-2835 1
 
1.5%
041-750-2370 1
 
1.5%
042-270-3942 1
 
1.5%
042-226-8413 1
 
1.5%
Other values (57) 57
85.1%
2023-12-13T06:38:02.586136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 151
18.7%
- 134
16.6%
2 119
14.7%
4 101
12.5%
1 56
 
6.9%
3 55
 
6.8%
8 48
 
5.9%
5 47
 
5.8%
6 43
 
5.3%
7 37
 
4.6%
Other values (2) 16
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 672
83.3%
Dash Punctuation 134
 
16.6%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 151
22.5%
2 119
17.7%
4 101
15.0%
1 56
 
8.3%
3 55
 
8.2%
8 48
 
7.1%
5 47
 
7.0%
6 43
 
6.4%
7 37
 
5.5%
9 15
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 807
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 151
18.7%
- 134
16.6%
2 119
14.7%
4 101
12.5%
1 56
 
6.9%
3 55
 
6.8%
8 48
 
5.9%
5 47
 
5.8%
6 43
 
5.3%
7 37
 
4.6%
Other values (2) 16
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 151
18.7%
- 134
16.6%
2 119
14.7%
4 101
12.5%
1 56
 
6.9%
3 55
 
6.8%
8 48
 
5.9%
5 47
 
5.8%
6 43
 
5.3%
7 37
 
4.6%
Other values (2) 16
 
2.0%

주소
Text

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-13T06:38:02.916834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length25
Mean length18.507463
Min length5

Characters and Unicode

Total characters1240
Distinct characters100
Distinct categories7 ?
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 (%)94.0%

Sample

1st row대전광역시 중구 산성로57번길 183
2nd row대전광역시 서구 갈마로 46
3rd row서울특별시 중구 세종대로 9길 53
4th row대전광역시
5th row대전광역시 서구 둔산북로 51
ValueCountFrequency (%)
대전광역시 49
 
17.6%
유성구 24
 
8.6%
서구 20
 
7.2%
대전시 8
 
2.9%
중구 8
 
2.9%
충청남도 5
 
1.8%
온천로 4
 
1.4%
동구 4
 
1.4%
중앙로 3
 
1.1%
대덕대로 3
 
1.1%
Other values (130) 151
54.1%
2023-12-13T06:38:03.389065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
17.7%
대 86
 
6.9%
시 63
 
5.1%
로 62
 
5.0%
전 60
 
4.8%
구 60
 
4.8%
광 49
 
4.0%
역 49
 
4.0%
1 46
 
3.7%
3 35
 
2.8%
Other values (90) 510
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 786
63.4%
Space Separator 220
 
17.7%
Decimal Number 215
 
17.3%
Dash Punctuation 9
 
0.7%
Other Punctuation 6
 
0.5%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 86
 
10.9%
시 63
 
8.0%
로 62
 
7.9%
전 60
 
7.6%
구 60
 
7.6%
광 49
 
6.2%
역 49
 
6.2%
성 28
 
3.6%
유 25
 
3.2%
서 24
 
3.1%
Other values (75) 280
35.6%
Decimal Number
ValueCountFrequency (%)
1 46
21.4%
3 35
16.3%
5 28
13.0%
0 19
8.8%
2 19
8.8%
7 16
 
7.4%
4 15
 
7.0%
9 13
 
6.0%
6 12
 
5.6%
8 12
 
5.6%
Space Separator
ValueCountFrequency (%)
220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 786
63.4%
Common 454
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 86
 
10.9%
시 63
 
8.0%
로 62
 
7.9%
전 60
 
7.6%
구 60
 
7.6%
광 49
 
6.2%
역 49
 
6.2%
성 28
 
3.6%
유 25
 
3.2%
서 24
 
3.1%
Other values (75) 280
35.6%
Common
ValueCountFrequency (%)
220
48.5%
1 46
 
10.1%
3 35
 
7.7%
5 28
 
6.2%
0 19
 
4.2%
2 19
 
4.2%
7 16
 
3.5%
4 15
 
3.3%
9 13
 
2.9%
6 12
 
2.6%
Other values (5) 31
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 786
63.4%
ASCII 454
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
48.5%
1 46
 
10.1%
3 35
 
7.7%
5 28
 
6.2%
0 19
 
4.2%
2 19
 
4.2%
7 16
 
3.5%
4 15
 
3.3%
9 13
 
2.9%
6 12
 
2.6%
Other values (5) 31
 
6.8%
Hangul
ValueCountFrequency (%)
대 86
 
10.9%
시 63
 
8.0%
로 62
 
7.9%
전 60
 
7.6%
구 60
 
7.6%
광 49
 
6.2%
역 49
 
6.2%
성 28
 
3.6%
유 25
 
3.2%
서 24
 
3.1%
Other values (75) 280
35.6%

홈페이지
Text

Distinct58
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-13T06:38:03.660362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length33
Mean length23.537313
Min length8

Characters and Unicode

Total characters1577
Distinct characters41
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)85.1%

Sample

1st rowhttp://-
2nd rowhttp://www.djtaxi.com
3rd rowhttp://www.cjkoreaexpress.co.kr
4th rowhttps://kr.koreanair.com
5th rowhttp://flyasiana.com
ValueCountFrequency (%)
http 10
 
14.9%
https://daejeon.foodservice.or.kr/main.do?method=getindex&gcd=g1140 1
 
1.5%
http://www.hotelinterciti.com 1
 
1.5%
http://www.plan-g.co.kr 1
 
1.5%
http://www.kongju.ac.kr 1
 
1.5%
http://www.gongju.go.kr 1
 
1.5%
http://www.geumsan.go.kr 1
 
1.5%
http://www.daejeon.go.kr 1
 
1.5%
http://www.djta.or.kr 1
 
1.5%
http://www.dsi.re.kr 1
 
1.5%
Other values (48) 48
71.6%
2023-12-13T06:38:04.169198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 174
 
11.0%
/ 143
 
9.1%
. 140
 
8.9%
w 131
 
8.3%
o 106
 
6.7%
h 86
 
5.5%
p 80
 
5.1%
r 79
 
5.0%
: 65
 
4.1%
c 61
 
3.9%
Other values (31) 512
32.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1193
75.6%
Other Punctuation 352
 
22.3%
Dash Punctuation 14
 
0.9%
Decimal Number 8
 
0.5%
Uppercase Letter 6
 
0.4%
Math Symbol 4
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 174
14.6%
w 131
11.0%
o 106
 
8.9%
h 86
 
7.2%
p 80
 
6.7%
r 79
 
6.6%
c 61
 
5.1%
e 59
 
4.9%
a 54
 
4.5%
n 51
 
4.3%
Other values (14) 312
26.2%
Uppercase Letter
ValueCountFrequency (%)
G 1
16.7%
I 1
16.7%
S 1
16.7%
C 1
16.7%
B 1
16.7%
M 1
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 143
40.6%
. 140
39.8%
: 65
18.5%
& 2
 
0.6%
? 2
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
0 2
25.0%
5 1
 
12.5%
4 1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1199
76.0%
Common 378
 
24.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 174
14.5%
w 131
10.9%
o 106
 
8.8%
h 86
 
7.2%
p 80
 
6.7%
r 79
 
6.6%
c 61
 
5.1%
e 59
 
4.9%
a 54
 
4.5%
n 51
 
4.3%
Other values (20) 318
26.5%
Common
ValueCountFrequency (%)
/ 143
37.8%
. 140
37.0%
: 65
17.2%
- 14
 
3.7%
= 4
 
1.1%
1 4
 
1.1%
& 2
 
0.5%
? 2
 
0.5%
0 2
 
0.5%
5 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1577
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 174
 
11.0%
/ 143
 
9.1%
. 140
 
8.9%
w 131
 
8.3%
o 106
 
6.7%
h 86
 
5.5%
p 80
 
5.1%
r 79
 
5.0%
: 65
 
4.1%
c 61
 
3.9%
Other values (31) 512
32.5%

Correlations

2023-12-13T06:38:04.299619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관명전화주소홈페이지
구분1.0001.0001.0000.9490.750
기관명1.0001.0001.0001.0001.000
전화1.0001.0001.0001.0001.000
주소0.9491.0001.0001.0000.995
홈페이지0.7501.0001.0000.9951.000

Missing values

2023-12-13T06:38:00.902062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:38:01.002954image/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

구분기관명전화주소홈페이지
0교통대전시개인택시운송사업조합042-583-6460대전광역시 중구 산성로57번길 183http://-
1교통대전광역시택시운송사업조합042-527-1241대전광역시 서구 갈마로 46http://www.djtaxi.com
2교통CJ대한통운㈜02-3782-0263서울특별시 중구 세종대로 9길 53http://www.cjkoreaexpress.co.kr
3교통대한항공대전지점042-488-9968대전광역시https://kr.koreanair.com
4교통아시아나항공대전지점042-255-9004대전광역시 서구 둔산북로 51http://flyasiana.com
5교통청주국제공항(한국공항공사청주지사)043-210-6312충청북도 청주시 청원구 내수읍 오창대로 980 5-4http://www.airport.co.kr/cheongju
6교통한국철도공사대전충남본부042-259-2240대전광역시 동구 중앙로 215http://info.korail.com
7디자인그리심어소시에이츠042-336-7145대전광역시 유성구 은구비로 2http://-
8디자인동산기획042-483-4159대전광역시 서구 월드컵대로484번길 187-50http://www.dongsanplan.co.kr
9디자인디자인피쉬042-633-1530대전광역시 동구 태전로114번길 5http://www.kb-fish.com
구분기관명전화주소홈페이지
57호텔레지던스호텔힐링042-485-0161대전광역시 서구 둔산로51번길 76http://-
58호텔롯데시티호텔대전042-333-1000대전시 유성구 엑스포로 123번길 33http://www.lottehotel.com/city/daejeon
59호텔유성호텔042-820-0100대전시 유성구 온천로 9www.yousunghotel.com
60호텔제천청풍리조트043-640-7000충청북도 제천시 청풍면 청풍호로 1798http://www.cheongpungresort.co.kr
61호텔호텔ICC042-866-5000대전시 유성구 엑스포로123번길 55http://hotelicc.com
62호텔호텔누보스타042-486-4700대전시 서구 둔산중로134번길 13http://www.nuvostar.net
63호텔호텔리베라유성042-823-2111대전시 유성구 온천서로 7(봉명동)http://www.shinan.co.kr/yusong
64호텔스탕달호텔042-822-1435대전광역시 유성구 온천북로 14http://stendhalhotel.co.kr
65호텔호텔인터시티042-600-6066대전시 유성구 온천로 92http://www.hotelinterciti.com
66호텔호텔테크노밸리042-671-0500대전시 유성구 테크노중앙로 57(관평동796)http://www.hoteltechnovalley.com