Overview

Dataset statistics

Number of variables10
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory91.7 B

Variable types

Numeric4
Text4
Categorical2

Dataset

Description경상북도 23개 시·군 문화관광해설사(지역, 인원, 문화해설사 배치장소, 전화번호 등)의 정보를 통계데이터로 제공합니다.
Author경상북도문화관광공사
URLhttps://www.data.go.kr/data/15049665/fileData.do

Alerts

연번 is highly overall correlated with 인원 and 2 other fieldsHigh correlation
인원 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
한국어 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
일본어 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
영어 is highly overall correlated with 인원 and 2 other fieldsHigh correlation
중국어 is highly overall correlated with 인원 and 3 other fieldsHigh correlation
연번 has unique valuesUnique
지역 has unique valuesUnique
배치장소 has unique valuesUnique
전화번호 has unique valuesUnique
링크(URL) has unique valuesUnique
일본어 has 10 (43.5%) zerosZeros

Reproduction

Analysis started2023-12-16 15:11:44.008020
Analysis finished2023-12-16 15:11:56.867331
Duration12.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-16T15:11:57.123154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-16T15:11:57.836198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

지역
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-16T15:11:58.711098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters46
Distinct characters33
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

Unique23 ?
Unique (%)100.0%

Sample

1st row포항
2nd row경주
3rd row김천
4th row안동
5th row구미
ValueCountFrequency (%)
포항 1
 
4.3%
청송 1
 
4.3%
울진 1
 
4.3%
봉화 1
 
4.3%
예천 1
 
4.3%
칠곡 1
 
4.3%
성주 1
 
4.3%
고령 1
 
4.3%
청도 1
 
4.3%
영덕 1
 
4.3%
Other values (13) 13
56.5%
2023-12-16T15:11:59.990831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
 
8.7%
영 4
 
8.7%
경 3
 
6.5%
천 3
 
6.5%
청 2
 
4.3%
성 2
 
4.3%
울 2
 
4.3%
칠 1
 
2.2%
덕 1
 
2.2%
도 1
 
2.2%
Other values (23) 23
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
 
8.7%
영 4
 
8.7%
경 3
 
6.5%
천 3
 
6.5%
청 2
 
4.3%
성 2
 
4.3%
울 2
 
4.3%
칠 1
 
2.2%
덕 1
 
2.2%
도 1
 
2.2%
Other values (23) 23
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
 
8.7%
영 4
 
8.7%
경 3
 
6.5%
천 3
 
6.5%
청 2
 
4.3%
성 2
 
4.3%
울 2
 
4.3%
칠 1
 
2.2%
덕 1
 
2.2%
도 1
 
2.2%
Other values (23) 23
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
 
8.7%
영 4
 
8.7%
경 3
 
6.5%
천 3
 
6.5%
청 2
 
4.3%
성 2
 
4.3%
울 2
 
4.3%
칠 1
 
2.2%
덕 1
 
2.2%
도 1
 
2.2%
Other values (23) 23
50.0%

인원
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.956522
Minimum4
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-16T15:12:00.693376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q17.5
median13
Q320.5
95-th percentile54.9
Maximum57
Range53
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.867531
Coefficient of variation (CV)0.82797388
Kurtosis2.5973934
Mean17.956522
Median Absolute Deviation (MAD)6
Skewness1.7540632
Sum413
Variance221.04348
MonotonicityNot monotonic
2023-12-16T15:12:01.709188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
7 3
13.0%
16 2
 
8.7%
18 2
 
8.7%
6 2
 
8.7%
11 2
 
8.7%
57 2
 
8.7%
12 1
 
4.3%
13 1
 
4.3%
14 1
 
4.3%
23 1
 
4.3%
Other values (6) 6
26.1%
ValueCountFrequency (%)
4 1
 
4.3%
6 2
8.7%
7 3
13.0%
8 1
 
4.3%
9 1
 
4.3%
11 2
8.7%
12 1
 
4.3%
13 1
 
4.3%
14 1
 
4.3%
16 2
8.7%
ValueCountFrequency (%)
57 2
8.7%
36 1
4.3%
33 1
4.3%
24 1
4.3%
23 1
4.3%
18 2
8.7%
16 2
8.7%
14 1
4.3%
13 1
4.3%
12 1
4.3%

한국어
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.304348
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-16T15:12:02.185192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.1
Q17
median11
Q317.5
95-th percentile30.9
Maximum48
Range47
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation10.459597
Coefficient of variation (CV)0.731218
Kurtosis3.9682017
Mean14.304348
Median Absolute Deviation (MAD)5
Skewness1.7869658
Sum329
Variance109.40316
MonotonicityNot monotonic
2023-12-16T15:12:02.690615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
7 4
17.4%
19 2
 
8.7%
16 2
 
8.7%
8 2
 
8.7%
10 2
 
8.7%
5 1
 
4.3%
6 1
 
4.3%
11 1
 
4.3%
13 1
 
4.3%
18 1
 
4.3%
Other values (6) 6
26.1%
ValueCountFrequency (%)
1 1
 
4.3%
5 1
 
4.3%
6 1
 
4.3%
7 4
17.4%
8 2
8.7%
10 2
8.7%
11 1
 
4.3%
13 1
 
4.3%
15 1
 
4.3%
16 2
8.7%
ValueCountFrequency (%)
48 1
4.3%
31 1
4.3%
30 1
4.3%
19 2
8.7%
18 1
4.3%
17 1
4.3%
16 2
8.7%
15 1
4.3%
13 1
4.3%
11 1
4.3%

영어
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
10 
1
7 
2
3 
5
2 
10
 
1

Length

Max length2
Median length1
Mean length1.0434783
Min length1

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row5
2nd row10
3rd row0
4th row5
5th row0

Common Values

ValueCountFrequency (%)
0 10
43.5%
1 7
30.4%
2 3
 
13.0%
5 2
 
8.7%
10 1
 
4.3%

Length

2023-12-16T15:12:03.488962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:12:03.912058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10
43.5%
1 7
30.4%
2 3
 
13.0%
5 2
 
8.7%
10 1
 
4.3%

중국어
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
0
13 
1
6 
2
2 
4
 
1
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row4
2nd row7
3rd row0
4th row2
5th row1

Common Values

ValueCountFrequency (%)
0 13
56.5%
1 6
26.1%
2 2
 
8.7%
4 1
 
4.3%
7 1
 
4.3%

Length

2023-12-16T15:12:04.454677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:12:04.905265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
56.5%
1 6
26.1%
2 2
 
8.7%
4 1
 
4.3%
7 1
 
4.3%

일본어
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3043478
Minimum0
Maximum10
Zeros10
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-16T15:12:05.502193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4.8
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.2448888
Coefficient of variation (CV)1.7210814
Kurtosis10.519637
Mean1.3043478
Median Absolute Deviation (MAD)1
Skewness3.0412816
Sum30
Variance5.0395257
MonotonicityNot monotonic
2023-12-16T15:12:06.083972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 10
43.5%
1 8
34.8%
2 2
 
8.7%
5 1
 
4.3%
10 1
 
4.3%
3 1
 
4.3%
ValueCountFrequency (%)
0 10
43.5%
1 8
34.8%
2 2
 
8.7%
3 1
 
4.3%
5 1
 
4.3%
10 1
 
4.3%
ValueCountFrequency (%)
10 1
 
4.3%
5 1
 
4.3%
3 1
 
4.3%
2 2
 
8.7%
1 8
34.8%
0 10
43.5%

배치장소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-16T15:12:06.987891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length39
Mean length39.304348
Min length3

Characters and Unicode

Total characters904
Distinct characters204
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

Unique23 ?
Unique (%)100.0%

Sample

1st row구룡포역사관, 보경사, 귀리곡, 오어사, 호미곶
2nd row안압지, 첨성대, 불국사, 석굴암, 괘릉, 포석정, 감은사지, 분황사, 양동마을, 오릉, 김유신장군 묘, 무열왕릉, 대릉원, 경주향교, 옥산서원, 동리목월문학관, 봉황대
3rd row직지사, 청암사, 김산향교, 하로서원, 사명대사공원, 시립박물관, 부항댐, 연화지
4th row하회마을, 병산서원, 봉정사, 태사묘, 도산서원, 안동시립박물관&월영교, 임청각, 제비원석불
5th row신라불교초전지, 도리사, 금오산도립공원, 동락신나루, 구미성리학역사관, 박정희대통령역사자료관, 지산샛강생태공원, 금오서원, 새마을테마파크
ValueCountFrequency (%)
관광안내센터 2
 
1.4%
관광안내소 2
 
1.4%
구룡포역사관 1
 
0.7%
신돌석장군유적지 1
 
0.7%
두들마을 1
 
0.7%
주실마을 1
 
0.7%
서석지 1
 
0.7%
선바위관광지 1
 
0.7%
삼사해상공원 1
 
0.7%
신재생에너지전시관 1
 
0.7%
Other values (130) 130
91.5%
2023-12-16T15:12:08.881526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
13.2%
, 102
 
11.3%
관 30
 
3.3%
사 27
 
3.0%
원 24
 
2.7%
산 18
 
2.0%
지 17
 
1.9%
마 16
 
1.8%
공 13
 
1.4%
을 13
 
1.4%
Other values (194) 525
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 679
75.1%
Space Separator 119
 
13.2%
Other Punctuation 103
 
11.4%
Dash Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 30
 
4.4%
사 27
 
4.0%
원 24
 
3.5%
산 18
 
2.7%
지 17
 
2.5%
마 16
 
2.4%
공 13
 
1.9%
을 13
 
1.9%
문 11
 
1.6%
청 11
 
1.6%
Other values (189) 499
73.5%
Other Punctuation
ValueCountFrequency (%)
, 102
99.0%
& 1
 
1.0%
Space Separator
ValueCountFrequency (%)
119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 679
75.1%
Common 225
 
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 30
 
4.4%
사 27
 
4.0%
원 24
 
3.5%
산 18
 
2.7%
지 17
 
2.5%
마 16
 
2.4%
공 13
 
1.9%
을 13
 
1.9%
문 11
 
1.6%
청 11
 
1.6%
Other values (189) 499
73.5%
Common
ValueCountFrequency (%)
119
52.9%
, 102
45.3%
- 2
 
0.9%
1 1
 
0.4%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 679
75.1%
ASCII 225
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
52.9%
, 102
45.3%
- 2
 
0.9%
1 1
 
0.4%
& 1
 
0.4%
Hangul
ValueCountFrequency (%)
관 30
 
4.4%
사 27
 
4.0%
원 24
 
3.5%
산 18
 
2.7%
지 17
 
2.5%
마 16
 
2.4%
공 13
 
1.9%
을 13
 
1.9%
문 11
 
1.6%
청 11
 
1.6%
Other values (189) 499
73.5%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-16T15:12:09.825312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row054-270-2374
2nd row054-779-6079
3rd row054-439-1330
4th row053-880-8501
5th row054-480-6612
ValueCountFrequency (%)
054-270-2374 1
 
4.3%
054-870-6240 1
 
4.3%
054-782-1501 1
 
4.3%
054-679-6343 1
 
4.3%
054-650-6902 1
 
4.3%
054-979-6193 1
 
4.3%
054-930-8373 1
 
4.3%
054-950-6060 1
 
4.3%
054-370-2379 1
 
4.3%
054-730-6533 1
 
4.3%
Other values (13) 13
56.5%
2023-12-16T15:12:11.732399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53
19.2%
- 46
16.7%
5 34
12.3%
3 30
10.9%
4 27
9.8%
6 24
8.7%
7 16
 
5.8%
9 15
 
5.4%
8 12
 
4.3%
1 11
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
23.0%
5 34
14.8%
3 30
13.0%
4 27
11.7%
6 24
10.4%
7 16
 
7.0%
9 15
 
6.5%
8 12
 
5.2%
1 11
 
4.8%
2 8
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53
19.2%
- 46
16.7%
5 34
12.3%
3 30
10.9%
4 27
9.8%
6 24
8.7%
7 16
 
5.8%
9 15
 
5.4%
8 12
 
4.3%
1 11
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53
19.2%
- 46
16.7%
5 34
12.3%
3 30
10.9%
4 27
9.8%
6 24
8.7%
7 16
 
5.8%
9 15
 
5.4%
8 12
 
4.3%
1 11
 
4.0%

링크(URL)
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-16T15:12:12.907430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length142
Median length57
Mean length57.304348
Min length37

Characters and Unicode

Total characters1318
Distinct characters52
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowhttps://www.pohang.go.kr/phtour/index.do
2nd rowhttp://guide.gyeongju.go.kr/cul_speak/
3rd rowhttps://www.gc.go.kr/culture/contents.do?mId=0306000000
4th rowhttps://www.aftf.or.kr:2011/webgear/resv/reservation.asp?
5th rowhttp://www.gumi.go.kr/tour/contents.do?mId=060200000
ValueCountFrequency (%)
https://www.pohang.go.kr/phtour/index.do 1
 
4.3%
http://www.cs.go.kr/tour/00004561/00004666.web 1
 
4.3%
http://www.uljin.go.kr/tour/index.uljin 1
 
4.3%
http://www.bonghwa.go.kr/open.content/tour/tour.info/tour.guide 1
 
4.3%
http://www.ycg.kr/open.content/tour/traveler/commentator 1
 
4.3%
https://www.chilgok.go.kr/reservation/contents.do?mid=0301000000 1
 
4.3%
http://www.sj.go.kr/tour/page.do?mnu_uid=1580 1
 
4.3%
http://tour.goryeong.go.kr/kor/guide/page.html?mc=20 1
 
4.3%
http://www.cheongdo.go.kr/open.content/tour/tour.guide/commentator 1
 
4.3%
http://tour.yd.go.kr/kor/part/commentator.aspx?mc=603006 1
 
4.3%
Other values (13) 13
56.5%
2023-12-16T15:12:15.074915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 112
 
8.5%
t 106
 
8.0%
. 93
 
7.1%
o 93
 
7.1%
r 70
 
5.3%
w 62
 
4.7%
e 61
 
4.6%
0 60
 
4.6%
g 55
 
4.2%
n 54
 
4.1%
Other values (42) 552
41.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 888
67.4%
Other Punctuation 255
 
19.3%
Decimal Number 120
 
9.1%
Uppercase Letter 25
 
1.9%
Math Symbol 17
 
1.3%
Connector Punctuation 13
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 106
11.9%
o 93
 
10.5%
r 70
 
7.9%
w 62
 
7.0%
e 61
 
6.9%
g 55
 
6.2%
n 54
 
6.1%
u 54
 
6.1%
p 47
 
5.3%
d 32
 
3.6%
Other values (14) 254
28.6%
Decimal Number
ValueCountFrequency (%)
0 60
50.0%
2 13
 
10.8%
1 12
 
10.0%
6 11
 
9.2%
3 8
 
6.7%
4 6
 
5.0%
5 5
 
4.2%
8 2
 
1.7%
7 2
 
1.7%
9 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
I 6
24.0%
U 4
16.0%
F 4
16.0%
R 3
12.0%
T 2
 
8.0%
O 2
 
8.0%
N 1
 
4.0%
D 1
 
4.0%
M 1
 
4.0%
C 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 112
43.9%
. 93
36.5%
: 24
 
9.4%
? 14
 
5.5%
& 7
 
2.7%
% 5
 
2.0%
Math Symbol
ValueCountFrequency (%)
= 17
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 913
69.3%
Common 405
30.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 106
 
11.6%
o 93
 
10.2%
r 70
 
7.7%
w 62
 
6.8%
e 61
 
6.7%
g 55
 
6.0%
n 54
 
5.9%
u 54
 
5.9%
p 47
 
5.1%
d 32
 
3.5%
Other values (24) 279
30.6%
Common
ValueCountFrequency (%)
/ 112
27.7%
. 93
23.0%
0 60
14.8%
: 24
 
5.9%
= 17
 
4.2%
? 14
 
3.5%
_ 13
 
3.2%
2 13
 
3.2%
1 12
 
3.0%
6 11
 
2.7%
Other values (8) 36
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 112
 
8.5%
t 106
 
8.0%
. 93
 
7.1%
o 93
 
7.1%
r 70
 
5.3%
w 62
 
4.7%
e 61
 
4.6%
0 60
 
4.6%
g 55
 
4.2%
n 54
 
4.1%
Other values (42) 552
41.9%

Interactions

2023-12-16T15:11:53.166449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:45.862150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:47.544099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:50.275083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:53.723903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:46.463355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:48.027217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:50.821611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:54.228545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:46.701935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:48.395386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:51.453486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:54.887517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:47.039132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:49.218156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T15:11:51.968645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:12:15.771477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역인원한국어영어중국어일본어배치장소전화번호링크(URL)
연번1.0001.0000.2410.3440.0000.5170.0001.0001.0001.000
지역1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인원0.2411.0001.0000.7340.8680.8460.7241.0001.0001.000
한국어0.3441.0000.7341.0000.6470.6690.7411.0001.0001.000
영어0.0001.0000.8680.6471.0000.9350.7691.0001.0001.000
중국어0.5171.0000.8460.6690.9351.0000.8111.0001.0001.000
일본어0.0001.0000.7240.7410.7690.8111.0001.0001.0001.000
배치장소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
링크(URL)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-16T15:12:16.500768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
중국어영어
중국어1.0000.640
영어0.6401.000
2023-12-16T15:12:16.849175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인원한국어일본어영어중국어
연번1.000-0.665-0.629-0.6400.0000.145
인원-0.6651.0000.9920.5410.7410.704
한국어-0.6290.9921.0000.4870.4840.507
일본어-0.6400.5410.4871.0000.6410.700
영어0.0000.7410.4840.6411.0000.640
중국어0.1450.7040.5070.7000.6401.000

Missing values

2023-12-16T15:11:55.637915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:11:56.545888image/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

연번지역인원한국어영어중국어일본어배치장소전화번호링크(URL)
01포항3319545구룡포역사관, 보경사, 귀리곡, 오어사, 호미곶054-270-2374https://www.pohang.go.kr/phtour/index.do
12경주573010710안압지, 첨성대, 불국사, 석굴암, 괘릉, 포석정, 감은사지, 분황사, 양동마을, 오릉, 김유신장군 묘, 무열왕릉, 대릉원, 경주향교, 옥산서원, 동리목월문학관, 봉황대054-779-6079http://guide.gyeongju.go.kr/cul_speak/
23김천1615001직지사, 청암사, 김산향교, 하로서원, 사명대사공원, 시립박물관, 부항댐, 연화지054-439-1330https://www.gc.go.kr/culture/contents.do?mId=0306000000
34안동5748522하회마을, 병산서원, 봉정사, 태사묘, 도산서원, 안동시립박물관&월영교, 임청각, 제비원석불053-880-8501https://www.aftf.or.kr:2011/webgear/resv/reservation.asp?
45구미1817010신라불교초전지, 도리사, 금오산도립공원, 동락신나루, 구미성리학역사관, 박정희대통령역사자료관, 지산샛강생태공원, 금오서원, 새마을테마파크054-480-6612http://www.gumi.go.kr/tour/contents.do?mId=060200000
56영주3631221소백산자락길 안내소, 부석사, 삼판서고택054-639-6606http://www.yeongju.go.kr/open_content/tour/page.do?mnu_uid=1244&app_type=1
67영천1816011임고서원, 노계문학관, 별별미술마을, 영천전투메모리얼파크, 화랑설화마을053-330-6000https://www.yc.go.kr/tour/contents.do?mId=0603000000
78상주118111경천대 관광안내센터, 경천섬 관광안내센터054-537-7118https://www.sangju.go.kr/tour/main/main.jsp?home_url=tour&code=TOUR_TOUR_8
89문경2418213문경새재도립공원054-550-6391https://www.gbmg.go.kr/reservation/bbs/inRealName.do?mId=0401020000&successUrl=%2Freservation%2Fguide%2Fwrite.do%3FmId%3D0401020000&cancelUrl=
910경산41102갓바위, 삼성현역사문화공원, 경산시립박물관, 경산시 주요관광지 투어053-810-5363http://www.gbgs.go.kr/open_content/tour/page.do?mnu_uid=2520
연번지역인원한국어영어중국어일본어배치장소전화번호링크(URL)
1314영양77000두들마을, 주실마을, 서석지, 선바위관광지054-680-6413http://www.yyg.go.kr/tour/tour_guide/apply
1415영덕87001삼사해상공원, 신돌석장군유적지, 신재생에너지전시관054-730-6533http://tour.yd.go.kr/kor/part/commentator.aspx?MC=603006
1516청도1210110청도읍성, 운문사, 청도역, 신지생태공원, 청도신화랑풍류마을054-370-2379http://www.cheongdo.go.kr/open.content/tour/tour.guide/commentator/
1617고령2319211장기리 암각화, 대가야역사테마관광지, 대가야역사관 및 왕릉전시관, 우륵박물관, 대가야생활촌, 개실마을, 개경포기념공원, 관광안내소054-950-6060http://tour.goryeong.go.kr/kor/guide/page.html?mc=20
1718성주1413100세종대왕자 태실, 한개마을, 회연서원, 가야산역사신화테마관, 태실문화관, 성밖숲정보센터, 성산동고분군전시관054-930-8373http://www.sj.go.kr/tour/page.do?mnu_uid=1580&
1819칠곡77000가산산성 진남문, 칠곡보 관광안내소054-979-6193https://www.chilgok.go.kr/reservation/contents.do?mId=0301000000
1920예천1311101회룡포-전망대, 회룡포-제1뿅뿅다리, 삼강주막, 용문사, 금당실마을, 초간정 원림054-650-6902http://www.ycg.kr/open.content/tour/traveler/commentator/
2021봉화1110100닭실마을, 청량산, 축서사, 분천 산타마을, 봉화정자문화생활관054-679-6343http://www.bonghwa.go.kr/open.content/tour/tour.info/tour.guide/
2122울진66000성류굴054-782-1501http://www.uljin.go.kr/tour/index.uljin
2223울릉65100도동약수지구, 봉래폭포지구054-790-6394http://www.ulleung.go.kr/ko/page.htm?mnu_uid=1656&