Overview

Dataset statistics

Number of variables12
Number of observations58
Missing cells6
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory99.3 B

Variable types

Numeric1
Categorical6
Text5

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군구High correlation
시군구 is highly overall correlated with 순번High correlation
홈페이지 has 6 (10.3%) missing valuesMissing
순번 has unique valuesUnique
업소명 has unique valuesUnique
시설현황 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:59:03.860187
Analysis finished2024-03-14 02:59:05.323182
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-03-14T11:59:05.443909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2024-03-14T11:59:05.555808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%

시군구
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
전주시
11 
익산시
7 
남원시
7 
군산시
5 
완주군
5 
Other values (8)
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)5.2%

Sample

1st row군산시
2nd row전주시
3rd row전주시
4th row전주시
5th row전주시

Common Values

ValueCountFrequency (%)
전주시 11
19.0%
익산시 7
12.1%
남원시 7
12.1%
군산시 5
8.6%
완주군 5
8.6%
무주군 5
8.6%
장수군 5
8.6%
부안군 5
8.6%
순창군 3
 
5.2%
정읍시 2
 
3.4%
Other values (3) 3
 
5.2%

Length

2024-03-14T11:59:05.659400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 11
19.0%
익산시 7
12.1%
남원시 7
12.1%
군산시 5
8.6%
완주군 5
8.6%
무주군 5
8.6%
장수군 5
8.6%
부안군 5
8.6%
순창군 3
 
5.2%
정읍시 2
 
3.4%
Other values (3) 3
 
5.2%

업종명
Categorical

Distinct17
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
관광호텔
15 
기타
9 
대학교
8 
휴양콘도미니엄
6 
청소년수련시설
5 
Other values (12)
15 

Length

Max length7
Median length5
Mean length4.1896552
Min length2

Unique

Unique9 ?
Unique (%)15.5%

Sample

1st row국제회의업
2nd row관광호텔
3rd row관광호텔
4th row관광호텔
5th row관광호텔

Common Values

ValueCountFrequency (%)
관광호텔 15
25.9%
기타 9
15.5%
대학교 8
13.8%
휴양콘도미니엄 6
 
10.3%
청소년수련시설 5
 
8.6%
가족호텔 2
 
3.4%
유스호스텔 2
 
3.4%
일반호텔 2
 
3.4%
태권도체험 1
 
1.7%
문화시설 1
 
1.7%
Other values (7) 7
12.1%

Length

2024-03-14T11:59:05.761146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
관광호텔 15
25.9%
기타 9
15.5%
대학교 8
13.8%
휴양콘도미니엄 6
 
10.3%
청소년수련시설 5
 
8.6%
가족호텔 2
 
3.4%
유스호스텔 2
 
3.4%
일반호텔 2
 
3.4%
예술회관 1
 
1.7%
연구원 1
 
1.7%
Other values (7) 7
12.1%

업소명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-03-14T11:59:05.963069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length8.1206897
Min length4

Characters and Unicode

Total characters471
Distinct characters162
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row군산새만금 종합비즈니스 컨벤션센터(GSCO)
2nd row전주관광호텔
3rd row전주 풍남관광호텔
4th row전주 르윈호텔
5th row전주 한옥태조궁관광호텔
ValueCountFrequency (%)
전주 3
 
4.1%
수련원 2
 
2.7%
우석대학교 2
 
2.7%
부안 2
 
2.7%
무주덕유산리조트 1
 
1.4%
타코마팜리조트 1
 
1.4%
반디랜드 1
 
1.4%
무주태권도원 1
 
1.4%
일성무주콘도 1
 
1.4%
무주토비스콘도 1
 
1.4%
Other values (58) 58
79.5%
2024-03-14T11:59:06.349580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 18
 
3.8%
텔 18
 
3.8%
호 18
 
3.8%
15
 
3.2%
리 14
 
3.0%
전 14
 
3.0%
원 13
 
2.8%
스 11
 
2.3%
광 11
 
2.3%
관 11
 
2.3%
Other values (152) 328
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
95.1%
Space Separator 15
 
3.2%
Uppercase Letter 6
 
1.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 18
 
4.0%
텔 18
 
4.0%
호 18
 
4.0%
리 14
 
3.1%
전 14
 
3.1%
원 13
 
2.9%
스 11
 
2.5%
광 11
 
2.5%
관 11
 
2.5%
학 10
 
2.2%
Other values (144) 310
69.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
O 1
16.7%
C 1
16.7%
G 1
16.7%
J 1
16.7%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
95.1%
Common 17
 
3.6%
Latin 6
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 18
 
4.0%
텔 18
 
4.0%
호 18
 
4.0%
리 14
 
3.1%
전 14
 
3.1%
원 13
 
2.9%
스 11
 
2.5%
광 11
 
2.5%
관 11
 
2.5%
학 10
 
2.2%
Other values (144) 310
69.2%
Latin
ValueCountFrequency (%)
S 2
33.3%
O 1
16.7%
C 1
16.7%
G 1
16.7%
J 1
16.7%
Common
ValueCountFrequency (%)
15
88.2%
) 1
 
5.9%
( 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
95.1%
ASCII 23
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 18
 
4.0%
텔 18
 
4.0%
호 18
 
4.0%
리 14
 
3.1%
전 14
 
3.1%
원 13
 
2.9%
스 11
 
2.5%
광 11
 
2.5%
관 11
 
2.5%
학 10
 
2.2%
Other values (144) 310
69.2%
ASCII
ValueCountFrequency (%)
15
65.2%
S 2
 
8.7%
) 1
 
4.3%
O 1
 
4.3%
C 1
 
4.3%
G 1
 
4.3%
( 1
 
4.3%
J 1
 
4.3%

도로명주소
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-03-14T11:59:06.600592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17.5
Mean length15.275862
Min length10

Characters and Unicode

Total characters886
Distinct characters129
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

Unique56 ?
Unique (%)96.6%

Sample

1st row군산시 새만금북로 437
2nd row전주시 완산구 팔달로 201-4
3rd row전주시 완산구 전주객사2길 45-7
4th row전주시 완산구 기린대로 85
5th row전주시 완산구 전라감영로 40
ValueCountFrequency (%)
전주시 11
 
5.1%
완산구 9
 
4.2%
익산시 7
 
3.2%
남원시 7
 
3.2%
군산시 5
 
2.3%
부안군 5
 
2.3%
무주군 5
 
2.3%
장수군 5
 
2.3%
완주군 5
 
2.3%
순창군 3
 
1.4%
Other values (132) 154
71.3%
2024-03-14T11:59:06.969658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
 
17.8%
로 41
 
4.6%
산 35
 
4.0%
1 34
 
3.8%
시 33
 
3.7%
4 31
 
3.5%
군 30
 
3.4%
주 27
 
3.0%
2 26
 
2.9%
면 25
 
2.8%
Other values (119) 446
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 521
58.8%
Decimal Number 189
 
21.3%
Space Separator 158
 
17.8%
Dash Punctuation 18
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 41
 
7.9%
산 35
 
6.7%
시 33
 
6.3%
군 30
 
5.8%
주 27
 
5.2%
면 25
 
4.8%
길 16
 
3.1%
전 15
 
2.9%
완 14
 
2.7%
구 13
 
2.5%
Other values (107) 272
52.2%
Decimal Number
ValueCountFrequency (%)
1 34
18.0%
4 31
16.4%
2 26
13.8%
5 21
11.1%
0 18
9.5%
3 15
7.9%
6 14
7.4%
7 12
 
6.3%
8 10
 
5.3%
9 8
 
4.2%
Space Separator
ValueCountFrequency (%)
158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 521
58.8%
Common 365
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 41
 
7.9%
산 35
 
6.7%
시 33
 
6.3%
군 30
 
5.8%
주 27
 
5.2%
면 25
 
4.8%
길 16
 
3.1%
전 15
 
2.9%
완 14
 
2.7%
구 13
 
2.5%
Other values (107) 272
52.2%
Common
ValueCountFrequency (%)
158
43.3%
1 34
 
9.3%
4 31
 
8.5%
2 26
 
7.1%
5 21
 
5.8%
- 18
 
4.9%
0 18
 
4.9%
3 15
 
4.1%
6 14
 
3.8%
7 12
 
3.3%
Other values (2) 18
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 521
58.8%
ASCII 365
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
43.3%
1 34
 
9.3%
4 31
 
8.5%
2 26
 
7.1%
5 21
 
5.8%
- 18
 
4.9%
0 18
 
4.9%
3 15
 
4.1%
6 14
 
3.8%
7 12
 
3.3%
Other values (2) 18
 
4.9%
Hangul
ValueCountFrequency (%)
로 41
 
7.9%
산 35
 
6.7%
시 33
 
6.3%
군 30
 
5.8%
주 27
 
5.2%
면 25
 
4.8%
길 16
 
3.1%
전 15
 
2.9%
완 14
 
2.7%
구 13
 
2.5%
Other values (107) 272
52.2%

시설현황
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-03-14T11:59:07.243144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length120
Median length60
Mean length45.051724
Min length9

Characters and Unicode

Total characters2613
Distinct characters186
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row[컨벤션센터]1층 컨벤션 : 2,000석, 2층 회의실(9실) : 330석 [산업전시관]회의실 : 150석, 실내전시관 :3,000㎡(130개부스), 옥외전시장 : 15,000㎡
2nd row연회장 : 90석, 객실 : 31실
3rd row풍남홀 : 80석, 그랜드홀 : 120석, 객실 : 63실
4th row백제홀 : 300석, 기린홀 : 60석, 피카소 : 120석, 객실 : 166실
5th row세미나실 : 50석, 객실 : 30실
ValueCountFrequency (%)
193
30.4%
객실 39
 
6.1%
세미나실 15
 
2.4%
100석 13
 
2.0%
150석 11
 
1.7%
200석 11
 
1.7%
300석 10
 
1.6%
80석 10
 
1.6%
50석 8
 
1.3%
60석 7
 
1.1%
Other values (246) 318
50.1%
2024-03-14T11:59:07.772751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
603
23.1%
0 210
 
8.0%
: 195
 
7.5%
실 170
 
6.5%
석 155
 
5.9%
, 152
 
5.8%
1 87
 
3.3%
2 66
 
2.5%
5 55
 
2.1%
3 42
 
1.6%
Other values (176) 878
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 990
37.9%
Space Separator 603
23.1%
Decimal Number 595
22.8%
Other Punctuation 350
 
13.4%
Close Punctuation 19
 
0.7%
Open Punctuation 19
 
0.7%
Math Symbol 16
 
0.6%
Lowercase Letter 11
 
0.4%
Uppercase Letter 8
 
0.3%
Other Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 170
 
17.2%
석 155
 
15.7%
객 40
 
4.0%
의 31
 
3.1%
회 29
 
2.9%
미 27
 
2.7%
나 27
 
2.7%
홀 26
 
2.6%
세 24
 
2.4%
강 24
 
2.4%
Other values (144) 437
44.1%
Decimal Number
ValueCountFrequency (%)
0 210
35.3%
1 87
14.6%
2 66
 
11.1%
5 55
 
9.2%
3 42
 
7.1%
8 41
 
6.9%
4 33
 
5.5%
6 27
 
4.5%
7 21
 
3.5%
9 13
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
r 3
27.3%
t 2
18.2%
a 2
18.2%
l 2
18.2%
y 1
 
9.1%
e 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
J 3
37.5%
S 2
25.0%
A 2
25.0%
G 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
: 195
55.7%
, 152
43.4%
* 3
 
0.9%
Math Symbol
ValueCountFrequency (%)
= 9
56.2%
× 6
37.5%
→ 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 17
89.5%
] 2
 
10.5%
Open Punctuation
ValueCountFrequency (%)
( 17
89.5%
[ 2
 
10.5%
Space Separator
ValueCountFrequency (%)
603
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1604
61.4%
Hangul 990
37.9%
Latin 19
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 170
 
17.2%
석 155
 
15.7%
객 40
 
4.0%
의 31
 
3.1%
회 29
 
2.9%
미 27
 
2.7%
나 27
 
2.7%
홀 26
 
2.6%
세 24
 
2.4%
강 24
 
2.4%
Other values (144) 437
44.1%
Common
ValueCountFrequency (%)
603
37.6%
0 210
 
13.1%
: 195
 
12.2%
, 152
 
9.5%
1 87
 
5.4%
2 66
 
4.1%
5 55
 
3.4%
3 42
 
2.6%
8 41
 
2.6%
4 33
 
2.1%
Other values (12) 120
 
7.5%
Latin
ValueCountFrequency (%)
J 3
15.8%
r 3
15.8%
S 2
10.5%
t 2
10.5%
a 2
10.5%
A 2
10.5%
l 2
10.5%
G 1
 
5.3%
y 1
 
5.3%
e 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1614
61.8%
Hangul 990
37.9%
None 6
 
0.2%
CJK Compat 2
 
0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
603
37.4%
0 210
 
13.0%
: 195
 
12.1%
, 152
 
9.4%
1 87
 
5.4%
2 66
 
4.1%
5 55
 
3.4%
3 42
 
2.6%
8 41
 
2.5%
4 33
 
2.0%
Other values (19) 130
 
8.1%
Hangul
ValueCountFrequency (%)
실 170
 
17.2%
석 155
 
15.7%
객 40
 
4.0%
의 31
 
3.1%
회 29
 
2.9%
미 27
 
2.7%
나 27
 
2.7%
홀 26
 
2.6%
세 24
 
2.4%
강 24
 
2.4%
Other values (144) 437
44.1%
None
ValueCountFrequency (%)
× 6
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

전화번호
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-03-14T11:59:07.982983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.913793
Min length9

Characters and Unicode

Total characters691
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

Unique58 ?
Unique (%)100.0%

Sample

1st row063-468-1880
2nd row063-280-7700
3rd row063-231-7900
4th row063-232-7000
5th row063-287-6400
ValueCountFrequency (%)
063-468-1880 1
 
1.7%
063-324-1155 1
 
1.7%
063-580-3131 1
 
1.7%
063-636-8001 1
 
1.7%
063-540-5612 1
 
1.7%
063-263-1260 1
 
1.7%
063-290-1063 1
 
1.7%
063-230-5467 1
 
1.7%
063-290-2733 1
 
1.7%
063-222-7754 1
 
1.7%
Other values (48) 48
82.8%
2024-03-14T11:59:08.357857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 142
20.5%
- 114
16.5%
3 100
14.5%
6 93
13.5%
2 51
 
7.4%
1 46
 
6.7%
5 41
 
5.9%
8 38
 
5.5%
7 32
 
4.6%
4 24
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 577
83.5%
Dash Punctuation 114
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 142
24.6%
3 100
17.3%
6 93
16.1%
2 51
 
8.8%
1 46
 
8.0%
5 41
 
7.1%
8 38
 
6.6%
7 32
 
5.5%
4 24
 
4.2%
9 10
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 691
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 142
20.5%
- 114
16.5%
3 100
14.5%
6 93
13.5%
2 51
 
7.4%
1 46
 
6.7%
5 41
 
5.9%
8 38
 
5.5%
7 32
 
4.6%
4 24
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 691
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 142
20.5%
- 114
16.5%
3 100
14.5%
6 93
13.5%
2 51
 
7.4%
1 46
 
6.7%
5 41
 
5.9%
8 38
 
5.5%
7 32
 
4.6%
4 24
 
3.5%

홈페이지
Text

MISSING 

Distinct51
Distinct (%)98.1%
Missing6
Missing (%)10.3%
Memory size596.0 B
2024-03-14T11:59:08.569818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length29
Mean length24.596154
Min length14

Characters and Unicode

Total characters1279
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)96.2%

Sample

1st rowhttp://gsco.kr/
2nd rowhttp://jeonjuhotel.co.kr/
3rd rowhttp://www.pungnamhotel.com
4th rowhttp://hotellewin.com/
5th rowhttp://www.taejogung.com
ValueCountFrequency (%)
http://www.tovice.net 2
 
3.8%
http://gsco.kr 1
 
1.9%
http://jeonjuhotel.co.kr 1
 
1.9%
http://www.ilsungresort.co.kr 1
 
1.9%
http://jirisanyh.com 1
 
1.9%
http://www.namwonyechon.com 1
 
1.9%
http://www.nyac.or.kr:444 1
 
1.9%
http://www.woosuk.ac.kr 1
 
1.9%
http://www.hanil.ac.kr 1
 
1.9%
http://rest.wanju.go.kr 1
 
1.9%
Other values (41) 41
78.8%
2024-03-14T11:59:08.891930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 139
 
10.9%
. 126
 
9.9%
/ 113
 
8.8%
w 111
 
8.7%
o 78
 
6.1%
h 70
 
5.5%
r 66
 
5.2%
p 55
 
4.3%
: 53
 
4.1%
n 52
 
4.1%
Other values (26) 416
32.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 954
74.6%
Other Punctuation 292
 
22.8%
Decimal Number 23
 
1.8%
Space Separator 7
 
0.5%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 139
14.6%
w 111
11.6%
o 78
 
8.2%
h 70
 
7.3%
r 66
 
6.9%
p 55
 
5.8%
n 52
 
5.5%
c 48
 
5.0%
k 46
 
4.8%
a 46
 
4.8%
Other values (13) 243
25.5%
Decimal Number
ValueCountFrequency (%)
4 5
21.7%
0 5
21.7%
1 4
17.4%
3 3
13.0%
5 2
 
8.7%
2 2
 
8.7%
6 1
 
4.3%
8 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 126
43.2%
/ 113
38.7%
: 53
18.2%
Space Separator
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 954
74.6%
Common 325
 
25.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 139
14.6%
w 111
11.6%
o 78
 
8.2%
h 70
 
7.3%
r 66
 
6.9%
p 55
 
5.8%
n 52
 
5.5%
c 48
 
5.0%
k 46
 
4.8%
a 46
 
4.8%
Other values (13) 243
25.5%
Common
ValueCountFrequency (%)
. 126
38.8%
/ 113
34.8%
: 53
16.3%
7
 
2.2%
4 5
 
1.5%
0 5
 
1.5%
1 4
 
1.2%
3 3
 
0.9%
- 3
 
0.9%
5 2
 
0.6%
Other values (3) 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1279
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 139
 
10.9%
. 126
 
9.9%
/ 113
 
8.8%
w 111
 
8.7%
o 78
 
6.1%
h 70
 
5.5%
r 66
 
5.2%
p 55
 
4.3%
: 53
 
4.1%
n 52
 
4.1%
Other values (26) 416
32.5%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
관광총괄과
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광총괄과 58
100.0%

Length

2024-03-14T11:59:09.003910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:59:09.083095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광총괄과 58
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
공개
58 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 58
100.0%

Length

2024-03-14T11:59:09.160227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:59:09.251984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 58
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
2016년 8월
58 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016년 8월
2nd row2016년 8월
3rd row2016년 8월
4th row2016년 8월
5th row2016년 8월

Common Values

ValueCountFrequency (%)
2016년 8월 58
100.0%

Length

2024-03-14T11:59:09.348662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:59:09.430613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016년 58
50.0%
8월 58
50.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
1년
58 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 58
100.0%

Length

2024-03-14T11:59:09.532818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:59:09.629711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 58
100.0%

Interactions

2024-03-14T11:59:04.760707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:59:09.682263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군구업종명업소명도로명주소시설현황전화번호홈페이지
순번1.0000.9160.6051.0001.0001.0001.0000.929
시군구0.9161.0000.7101.0001.0001.0001.0000.966
업종명0.6050.7101.0001.0001.0001.0001.0001.000
업소명1.0001.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
시설현황1.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
홈페이지0.9290.9661.0001.0001.0001.0001.0001.000
2024-03-14T11:59:09.822872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명시군구
업종명1.0000.314
시군구0.3141.000
2024-03-14T11:59:09.955357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군구업종명
순번1.0000.6850.254
시군구0.6851.0000.314
업종명0.2540.3141.000

Missing values

2024-03-14T11:59:04.962829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:59:05.135512image/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

순번시군구업종명업소명도로명주소시설현황전화번호홈페이지자료출처공개여부작성일갱신주기
01군산시국제회의업군산새만금 종합비즈니스 컨벤션센터(GSCO)군산시 새만금북로 437[컨벤션센터]1층 컨벤션 : 2,000석, 2층 회의실(9실) : 330석 [산업전시관]회의실 : 150석, 실내전시관 :3,000㎡(130개부스), 옥외전시장 : 15,000㎡063-468-1880http://gsco.kr/관광총괄과공개2016년 8월1년
12전주시관광호텔전주관광호텔전주시 완산구 팔달로 201-4연회장 : 90석, 객실 : 31실063-280-7700http://jeonjuhotel.co.kr/관광총괄과공개2016년 8월1년
23전주시관광호텔전주 풍남관광호텔전주시 완산구 전주객사2길 45-7풍남홀 : 80석, 그랜드홀 : 120석, 객실 : 63실063-231-7900http://www.pungnamhotel.com관광총괄과공개2016년 8월1년
34전주시관광호텔전주 르윈호텔전주시 완산구 기린대로 85백제홀 : 300석, 기린홀 : 60석, 피카소 : 120석, 객실 : 166실063-232-7000http://hotellewin.com/관광총괄과공개2016년 8월1년
45전주시관광호텔전주 한옥태조궁관광호텔전주시 완산구 전라감영로 40세미나실 : 50석, 객실 : 30실063-287-6400http://www.taejogung.com관광총괄과공개2016년 8월1년
56전주시관광호텔전주영화호텔전주시 완산구 전주객사2길 28-27컨벤션홀 : 80석, 객실 : 71실063-230-5000http://www.yeonghwahotel.com관광총괄과공개2016년 8월1년
67전주시관광호텔로니관광호텔전주시 완산구 전주객사4길 74-50연회장 : 200석, 객실 : 81실063-281-1000http://www.hotelroni.com관광총괄과공개2016년 8월1년
78전주시관광호텔JS관광호텔전주시 완산구 팔달로 212-9JS홀 : 160석, 세미나실 : 15석, 객실 : 59실063-223-6500http://js-hotel.com관광총괄과공개2016년 8월1년
89전주시대학교전북대학교전주시 덕진구 백제대로 567삼성문화회관 대극장 : 1,493명, 삼성문화회관 소극장 : 224명, 삼성문화회관 전시실: 100평063-270-2089http://cnucc.chonbuk.ac.kr관광총괄과공개2016년 8월1년
910전주시대학교전주대학교전주시 완산구 천잠로 303희망홀(공연장) : 2,000석, 대강당(공연장) : 808석, JJ아트홀(공연장) : 450석, 온누리홀(세미나실) : 274석, 스타센터 다목적홀 : 500석, Star Art Gallery(전시장) : 160평063-220-2142http://www.jj.ac.kr관광총괄과공개2016년 8월1년
순번시군구업종명업소명도로명주소시설현황전화번호홈페이지자료출처공개여부작성일갱신주기
4849임실군청소년수련시설임실군 청소년 수련원임실군 관촌면 사선2길 96-24대강의실 : 187석, 중강의실 : 60석, 소강의실 : 20석, 객실 : 49실063-644-2526http://ytc.imsil.go.kr관광총괄과공개2016년 8월1년
4950순창군기타순창향토회관순창군 순창읍 장류로 407-11회관 : 450석063-650-1645<NA>관광총괄과공개2016년 8월1년
5051순창군기타문화의집순창군 순창읍 장류로 407-11문화창작실 : 40석, 다목적실 : 20석, 문화관람실 : 80석063-653-2069<NA>관광총괄과공개2016년 8월1년
5152순창군청소년수련시설순창군청소년수련관순창군 순창읍 장류로 180세미나실 : 100석, 강당 : 172 석, 소회의실 : 20석063-652-1318http://sunchang1318.modoo.at관광총괄과공개2016년 8월1년
5253부안군가족호텔모항해나루가족호텔부안군 변산면 모항해변길 73해나루홀 : 300석, 목련A홀 : 60석, 동백홀 : 30석, 백합홀 : 90석, 객실 : 112실063-580-0700http://www.haenaruhotel.co.kr관광총괄과공개2016년 8월1년
5354부안군가족호텔대명리조트 변산부안군 변산면 변산해변로 51태평소홀 : 750석(분할가능), 양금 : 100석, 거문고 : 150석, 가야금 : 150석, 휴플레이스 : 3실*50석=150석, 대금, 중금, 소금, 해금(각 72석) : 288석, 객실 : 504실1588-4888http://www.daemyungresort.com/bs관광총괄과공개2016년 8월1년
5455부안군기타부안 신재생에너지테마파크부안군 하서면 신재생에너지로 10컨퍼런스룸 : 300석, 회의실(2실) : 36석, 세미나실(5실) : 270석, 객실 : 42실063-580-1400http://nrev.or.kr관광총괄과공개2016년 8월1년
5556부안군기타부안 줄포만 갯벌 생태공원부안군 줄포면 생태공원로 38공연장 : 250석, 다목적실 : 300석, 세미나실 : 50석, 객실 : 27실063-580-3171http://julpoman.buan.go.kr관광총괄과공개2016년 8월1년
5657부안군청소년수련시설부안군 청소년수련원부안군 변산면 참뽕로 434-26회의실 1 : 80석, 회의실 2 : 40석, 객실 : 39실063-580-3131http://youth.buan.go.kr관광총괄과공개2016년 8월1년
5758고창군일반호텔선운산호텔고창군 아산면 중촌길 21대연회장 : 180석, 소연회장 : 60석, 객실 : 67실063-561-3377<NA>관광총괄과공개2016년 8월1년