Overview

Dataset statistics

Number of variables10
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory89.3 B

Variable types

Numeric3
Text5
Categorical2

Dataset

Description경주, 계룡산, 한려해상, 내장산, 덕유산 등 11개 국립공원에서 시행되는 건강나누리캠프 운영 정보를 CSV 포맷으로 제공합니다.
Author국립공원공단
URLhttps://www.data.go.kr/data/15004186/fileData.do

Alerts

형태1 has constant value ""Constant
구분 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
형태2 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
구분 has unique valuesUnique
협력의료기관 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
문의처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:09:31.792778
Analysis finished2023-12-12 05:09:34.255660
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:09:34.344351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-12T14:09:34.557745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

사무소
Text

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:09:34.810257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9047619
Min length2

Characters and Unicode

Total characters82
Distinct characters30
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

Unique9 ?
Unique (%)42.9%

Sample

1st row경주
2nd row경주
3rd row경주
4th row계룡산
5th row한려해상
ValueCountFrequency (%)
무등산동부 4
19.0%
경주 3
14.3%
북한산도봉 3
14.3%
한려해상 2
9.5%
계룡산 1
 
4.8%
한려동부 1
 
4.8%
내장산백암 1
 
4.8%
덕유산 1
 
4.8%
태안해안 1
 
4.8%
다도해서부 1
 
4.8%
Other values (3) 3
14.3%
2023-12-12T14:09:35.273875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 13
15.9%
한 7
 
8.5%
부 6
 
7.3%
동 5
 
6.1%
무 4
 
4.9%
등 4
 
4.9%
해 4
 
4.9%
북 4
 
4.9%
도 4
 
4.9%
려 3
 
3.7%
Other values (20) 28
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 82
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 13
15.9%
한 7
 
8.5%
부 6
 
7.3%
동 5
 
6.1%
무 4
 
4.9%
등 4
 
4.9%
해 4
 
4.9%
북 4
 
4.9%
도 4
 
4.9%
려 3
 
3.7%
Other values (20) 28
34.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 13
15.9%
한 7
 
8.5%
부 6
 
7.3%
동 5
 
6.1%
무 4
 
4.9%
등 4
 
4.9%
해 4
 
4.9%
북 4
 
4.9%
도 4
 
4.9%
려 3
 
3.7%
Other values (20) 28
34.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 82
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 13
15.9%
한 7
 
8.5%
부 6
 
7.3%
동 5
 
6.1%
무 4
 
4.9%
등 4
 
4.9%
해 4
 
4.9%
북 4
 
4.9%
도 4
 
4.9%
려 3
 
3.7%
Other values (20) 28
34.1%

협력의료기관
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:09:35.589493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length10.714286
Min length6

Characters and Unicode

Total characters225
Distinct characters72
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row울산대학교병원 아토피질환환경보건센터
2nd row경주시보건소
3rd row경상북도 아토피 천식 교육정보센터
4th row충남대학교병원 환경보건센터
5th row사천시보건소
ValueCountFrequency (%)
환경보건센터 5
 
14.7%
울산대학교병원 1
 
2.9%
광주점 1
 
2.9%
광주남구보건소 1
 
2.9%
전남대학교병원 1
 
2.9%
화순전남대학교병원 1
 
2.9%
영암군보건소 1
 
2.9%
도봉구보건소 1
 
2.9%
알레르기질환 1
 
2.9%
인하대병원 1
 
2.9%
Other values (20) 20
58.8%
2023-12-12T14:09:36.083364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 18
 
8.0%
건 17
 
7.6%
13
 
5.8%
원 10
 
4.4%
경 9
 
4.0%
소 9
 
4.0%
센 9
 
4.0%
환 9
 
4.0%
터 9
 
4.0%
병 8
 
3.6%
Other values (62) 114
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 212
94.2%
Space Separator 13
 
5.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 18
 
8.5%
건 17
 
8.0%
원 10
 
4.7%
경 9
 
4.2%
소 9
 
4.2%
센 9
 
4.2%
환 9
 
4.2%
터 9
 
4.2%
병 8
 
3.8%
교 7
 
3.3%
Other values (61) 107
50.5%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 212
94.2%
Common 13
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 18
 
8.5%
건 17
 
8.0%
원 10
 
4.7%
경 9
 
4.2%
소 9
 
4.2%
센 9
 
4.2%
환 9
 
4.2%
터 9
 
4.2%
병 8
 
3.8%
교 7
 
3.3%
Other values (61) 107
50.5%
Common
ValueCountFrequency (%)
13
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 212
94.2%
ASCII 13
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 18
 
8.5%
건 17
 
8.0%
원 10
 
4.7%
경 9
 
4.2%
소 9
 
4.2%
센 9
 
4.2%
환 9
 
4.2%
터 9
 
4.2%
병 8
 
3.8%
교 7
 
3.3%
Other values (61) 107
50.5%
ASCII
ValueCountFrequency (%)
13
100.0%

형태1
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
당일
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당일 21
100.0%

Length

2023-12-12T14:09:36.235610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:36.342982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당일 21
100.0%

형태2
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size300.0 B
<NA>
12 
1박2일
8 
3박4일
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row1박2일
2nd row1박2일
3rd row1박2일
4th row<NA>
5th row1박2일

Common Values

ValueCountFrequency (%)
<NA> 12
57.1%
1박2일 8
38.1%
3박4일 1
 
4.8%

Length

2023-12-12T14:09:36.466138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:36.593888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
57.1%
1박2일 8
38.1%
3박4일 1
 
4.8%

도로명주소
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:09:36.917867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length25.47619
Min length15

Characters and Unicode

Total characters535
Distinct characters111
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

Unique21 ?
Unique (%)100.0%

Sample

1st row울산광역시 동구 방어진순환도로 877 울산대학교 별관 2F
2nd row경상북도 경주시 양정로 300 경주시보건소
3rd row경상북도 경주시 동대로 87 동국대학병원
4th row대전광역시 중구 문화로 282 충남대학교병원
5th row경상남도 사천시 용현면 시청로 77 사천시청
ValueCountFrequency (%)
광주광역시 4
 
3.4%
전라남도 3
 
2.6%
서울특별시 3
 
2.6%
경상남도 3
 
2.6%
중구 2
 
1.7%
동구 2
 
1.7%
경상북도 2
 
1.7%
경주시 2
 
1.7%
보건의료원 2
 
1.7%
태안군 2
 
1.7%
Other values (91) 91
78.4%
2023-12-12T14:09:37.439970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
17.8%
시 19
 
3.6%
남 16
 
3.0%
로 16
 
3.0%
도 14
 
2.6%
원 13
 
2.4%
구 12
 
2.2%
광 11
 
2.1%
대 11
 
2.1%
1 11
 
2.1%
Other values (101) 317
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
71.6%
Space Separator 95
 
17.8%
Decimal Number 55
 
10.3%
Uppercase Letter 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 19
 
5.0%
남 16
 
4.2%
로 16
 
4.2%
도 14
 
3.7%
원 13
 
3.4%
구 12
 
3.1%
광 11
 
2.9%
대 11
 
2.9%
주 10
 
2.6%
경 9
 
2.3%
Other values (88) 252
65.8%
Decimal Number
ValueCountFrequency (%)
1 11
20.0%
2 10
18.2%
7 9
16.4%
3 8
14.5%
8 6
10.9%
0 5
9.1%
4 2
 
3.6%
6 2
 
3.6%
9 1
 
1.8%
5 1
 
1.8%
Space Separator
ValueCountFrequency (%)
95
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
71.6%
Common 151
 
28.2%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 19
 
5.0%
남 16
 
4.2%
로 16
 
4.2%
도 14
 
3.7%
원 13
 
3.4%
구 12
 
3.1%
광 11
 
2.9%
대 11
 
2.9%
주 10
 
2.6%
경 9
 
2.3%
Other values (88) 252
65.8%
Common
ValueCountFrequency (%)
95
62.9%
1 11
 
7.3%
2 10
 
6.6%
7 9
 
6.0%
3 8
 
5.3%
8 6
 
4.0%
0 5
 
3.3%
4 2
 
1.3%
6 2
 
1.3%
9 1
 
0.7%
Other values (2) 2
 
1.3%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
71.6%
ASCII 152
 
28.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
62.5%
1 11
 
7.2%
2 10
 
6.6%
7 9
 
5.9%
3 8
 
5.3%
8 6
 
3.9%
0 5
 
3.3%
4 2
 
1.3%
6 2
 
1.3%
9 1
 
0.7%
Other values (3) 3
 
2.0%
Hangul
ValueCountFrequency (%)
시 19
 
5.0%
남 16
 
4.2%
로 16
 
4.2%
도 14
 
3.7%
원 13
 
3.4%
구 12
 
3.1%
광 11
 
2.9%
대 11
 
2.9%
주 10
 
2.6%
경 9
 
2.3%
Other values (88) 252
65.8%

위도
Real number (ℝ)

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.915063
Minimum34.795057
Maximum37.657791
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:09:37.613689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.795057
5-th percentile34.844896
Q135.133113
median35.520071
Q336.75167
95-th percentile37.587291
Maximum37.657791
Range2.8627342
Interquartile range (IQR)1.6185579

Descriptive statistics

Standard deviation1.0396507
Coefficient of variation (CV)0.028947483
Kurtosis-1.1541527
Mean35.915063
Median Absolute Deviation (MAD)0.5155321
Skewness0.68907419
Sum754.21632
Variance1.0808735
MonotonicityNot monotonic
2023-12-12T14:09:37.751002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
35.5200707 1
 
4.8%
35.859525 1
 
4.8%
35.1733432 1
 
4.8%
35.1331125 1
 
4.8%
35.1415322 1
 
4.8%
35.0594329 1
 
4.8%
34.7950566 1
 
4.8%
37.6577908 1
 
4.8%
37.4586436 1
 
4.8%
37.4882982 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
34.7950566 1
4.8%
34.8448956 1
4.8%
34.8598037 1
4.8%
35.0045386 1
4.8%
35.0594329 1
4.8%
35.1331125 1
4.8%
35.1415322 1
4.8%
35.1563647 1
4.8%
35.1733432 1
4.8%
35.3045497 1
4.8%
ValueCountFrequency (%)
37.6577908 1
4.8%
37.5872906 1
4.8%
37.4882982 1
4.8%
37.4586436 1
4.8%
37.3704914 1
4.8%
36.7516704 1
4.8%
36.3169078 1
4.8%
35.8747455 1
4.8%
35.859525 1
4.8%
35.8582593 1
4.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.48535
Minimum126.32317
Maximum129.42891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T14:09:37.922878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.32317
5-th percentile126.63386
Q1126.90271
median127.03882
Q3127.93427
95-th percentile129.22462
Maximum129.42891
Range3.1057379
Interquartile range (IQR)1.0315513

Descriptive statistics

Standard deviation0.91416025
Coefficient of variation (CV)0.0071707081
Kurtosis0.028082985
Mean127.48535
Median Absolute Deviation (MAD)0.3765417
Skewness1.0564825
Sum2677.1924
Variance0.83568896
MonotonicityNot monotonic
2023-12-12T14:09:38.091313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
129.4289119 1
 
4.8%
129.2246185 1
 
4.8%
126.9121624 1
 
4.8%
126.9027147 1
 
4.8%
126.9217748 1
 
4.8%
127.0025005 1
 
4.8%
126.7036456 1
 
4.8%
127.0388213 1
 
4.8%
126.6338594 1
 
4.8%
127.0851503 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
126.323174 1
4.8%
126.6338594 1
4.8%
126.7036456 1
4.8%
126.7824122 1
4.8%
126.8477915 1
4.8%
126.9027147 1
4.8%
126.9121624 1
4.8%
126.9217748 1
4.8%
127.0025005 1
4.8%
127.0271915 1
4.8%
ValueCountFrequency (%)
129.4289119 1
4.8%
129.2246185 1
4.8%
129.1950478 1
4.8%
128.4319447 1
4.8%
128.0640759 1
4.8%
127.934266 1
4.8%
127.8985944 1
4.8%
127.4183726 1
4.8%
127.415363 1
4.8%
127.0851503 1
4.8%

홈페이지
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:09:38.323861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length27
Mean length25.619048
Min length7

Characters and Unicode

Total characters538
Distinct characters31
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

Unique19 ?
Unique (%)90.5%

Sample

1st rowhttp://www.ulsanatopy.org/
2nd rowhttp://www.gjhc.or.kr/
3rd rowhttp://www.eduinfo-allergy.com/
4th rowhttp://www.cnuh.co.kr/
5th rowhttp://health.sacheon.go.kr/
ValueCountFrequency (%)
http 2
 
9.5%
http://www.ulsanatopy.org 1
 
4.8%
http://www.atopyfree.org 1
 
4.8%
http://www.namgu.gwangju.kr/health2013 1
 
4.8%
http://www.cnuh.com 1
 
4.8%
http://www.cnuhh.com 1
 
4.8%
http://health.yeongam.go.kr 1
 
4.8%
http://health.dobong.go.kr 1
 
4.8%
http://www.allergycenter.go.kr 1
 
4.8%
http://www.samsunghospital.com 1
 
4.8%
Other values (10) 10
47.6%
2023-12-12T14:09:38.760627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 64
 
11.9%
t 57
 
10.6%
. 50
 
9.3%
h 43
 
8.0%
w 38
 
7.1%
o 27
 
5.0%
a 26
 
4.8%
g 24
 
4.5%
p 24
 
4.5%
e 23
 
4.3%
Other values (21) 162
30.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 397
73.8%
Other Punctuation 135
 
25.1%
Decimal Number 4
 
0.7%
Connector Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 57
14.4%
h 43
10.8%
w 38
9.6%
o 27
 
6.8%
a 26
 
6.5%
g 24
 
6.0%
p 24
 
6.0%
e 23
 
5.8%
n 21
 
5.3%
r 21
 
5.3%
Other values (12) 93
23.4%
Decimal Number
ValueCountFrequency (%)
2 1
25.0%
0 1
25.0%
1 1
25.0%
3 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 64
47.4%
. 50
37.0%
: 21
 
15.6%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 397
73.8%
Common 141
 
26.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 57
14.4%
h 43
10.8%
w 38
9.6%
o 27
 
6.8%
a 26
 
6.5%
g 24
 
6.0%
p 24
 
6.0%
e 23
 
5.8%
n 21
 
5.3%
r 21
 
5.3%
Other values (12) 93
23.4%
Common
ValueCountFrequency (%)
/ 64
45.4%
. 50
35.5%
: 21
 
14.9%
_ 1
 
0.7%
- 1
 
0.7%
2 1
 
0.7%
0 1
 
0.7%
1 1
 
0.7%
3 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 538
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 64
 
11.9%
t 57
 
10.6%
. 50
 
9.3%
h 43
 
8.0%
w 38
 
7.1%
o 27
 
5.0%
a 26
 
4.8%
g 24
 
4.5%
p 24
 
4.5%
e 23
 
4.3%
Other values (21) 162
30.1%

문의처
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T14:09:38.979184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.666667
Min length9

Characters and Unicode

Total characters245
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

Unique21 ?
Unique (%)100.0%

Sample

1st row054-778-4162
2nd row054-779-8631
3rd row1899-7585
4th row042-825-3002
5th row055-860-5812
ValueCountFrequency (%)
054-778-4162 1
 
4.8%
033-732-5231 1
 
4.8%
062-607-4450 1
 
4.8%
1899-0000 1
 
4.8%
061-370-5731 1
 
4.8%
061-473-5211 1
 
4.8%
02-2091-4600 1
 
4.8%
032-890-2626 1
 
4.8%
031-828-8024 1
 
4.8%
02-940-3757 1
 
4.8%
Other values (11) 11
52.4%
2023-12-12T14:09:39.375111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 40
16.3%
0 39
15.9%
2 24
9.8%
1 21
8.6%
5 19
7.8%
8 19
7.8%
6 19
7.8%
3 19
7.8%
4 17
6.9%
7 16
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 205
83.7%
Dash Punctuation 40
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39
19.0%
2 24
11.7%
1 21
10.2%
5 19
9.3%
8 19
9.3%
6 19
9.3%
3 19
9.3%
4 17
8.3%
7 16
7.8%
9 12
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 40
16.3%
0 39
15.9%
2 24
9.8%
1 21
8.6%
5 19
7.8%
8 19
7.8%
6 19
7.8%
3 19
7.8%
4 17
6.9%
7 16
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 245
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 40
16.3%
0 39
15.9%
2 24
9.8%
1 21
8.6%
5 19
7.8%
8 19
7.8%
6 19
7.8%
3 19
7.8%
4 17
6.9%
7 16
 
6.5%

Interactions

2023-12-12T14:09:33.399449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:32.284337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:33.051998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:33.537451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:32.435182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:33.160586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:33.722028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:32.575063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:33.283346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:09:39.498760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분사무소협력의료기관형태2도로명주소위도경도홈페이지문의처
구분1.0000.9131.0000.0001.0000.7990.7870.9481.000
사무소0.9131.0001.0001.0001.0000.9290.9670.7391.000
협력의료기관1.0001.0001.0001.0001.0001.0001.0001.0001.000
형태20.0001.0001.0001.0001.0000.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.7990.9291.0000.0001.0001.0000.8321.0001.000
경도0.7870.9671.0001.0001.0000.8321.0001.0001.000
홈페이지0.9480.7391.0001.0001.0001.0001.0001.0001.000
문의처1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T14:09:39.634874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분위도경도형태2
구분1.000-0.021-0.6740.535
위도-0.0211.000-0.0170.000
경도-0.674-0.0171.0000.655
형태20.5350.0000.6551.000

Missing values

2023-12-12T14:09:33.931544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:09:34.177830image/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

구분사무소협력의료기관형태1형태2도로명주소위도경도홈페이지문의처
01경주울산대학교병원 아토피질환환경보건센터당일1박2일울산광역시 동구 방어진순환도로 877 울산대학교 별관 2F35.520071129.428912http://www.ulsanatopy.org/054-778-4162
12경주경주시보건소당일1박2일경상북도 경주시 양정로 300 경주시보건소35.859525129.224618http://www.gjhc.or.kr/054-779-8631
23경주경상북도 아토피 천식 교육정보센터당일1박2일경상북도 경주시 동대로 87 동국대학병원35.858259129.195048http://www.eduinfo-allergy.com/1899-7585
34계룡산충남대학교병원 환경보건센터당일<NA>대전광역시 중구 문화로 282 충남대학교병원36.316908127.415363http://www.cnuh.co.kr/042-825-3002
45한려해상사천시보건소당일1박2일경상남도 사천시 용현면 시청로 77 사천시청35.004539128.064076http://health.sacheon.go.kr/055-860-5812
56한려해상남해군보건소당일<NA>경상남도 남해군 남해읍 선소로 6 남해군보건소34.844896127.898594http://health.namhae.go.kr/055-860-3551
67한려동부통영시보건소당일1박2일경상남도 통영시 안개4길 108 통영시보건소34.859804128.431945http://www.tongyeong.go.kr/ty/health_center/055-640-2441
78내장산백암장성군보건소당일<NA>전라남도 장성군 장성읍 청운11길 13 보건의료원35.30455126.782412http://061-392-7088
89덕유산진안에코에듀센터당일3박4일전라북도 진안군 정천면 봉학로 171-2235.874746127.418373http://www.jinaneco.kr/063-322-3374
910태안해안태안보건의료원 환경보건센터당일1박2일충청남도 태안군 태안읍 평천리 태안군 보건의료원 3층 태안환경보건센터36.75167126.323174http://oil.taean.go.kr/041-672-9738
구분사무소협력의료기관형태1형태2도로명주소위도경도홈페이지문의처
1112치악산상지대학교부속한방병원당일<NA>강원도 원주시 상지대길 80 상지대학교한방병원37.370491127.934266http://medi.sangji.ac.kr/033-732-5231
1213북한산고려대학교 안암병원 천식환경보건센터당일<NA>서울특별시 성북구 인촌로 73 고려대학부속병원37.587291127.027192http://www.atopyfree.org/02-940-3757
1314북한산도봉삼성서울병원 환경보건센터당일<NA>서울특별시 강남구 일원로 81 삼성의료원37.488298127.08515http://www.samsunghospital.com/031-828-8024
1415북한산도봉인하대병원 알레르기질환 환경보건센터당일1박2일인천광역시 중구 인항로 27 인하대병원37.458644126.633859http://www.allergycenter.go.kr/032-890-2626
1516북한산도봉도봉구보건소당일<NA>서울특별시 도봉구 방학로3길 117 도봉구보건소 쌍문2동주민센터37.657791127.038821http://health.dobong.go.kr/02-2091-4600
1617월출산영암군보건소당일<NA>전라남도 영암군 영암읍 오리정길 39 장애인종합복지관34.795057126.703646http://health.yeongam.go.kr/061-473-5211
1718무등산동부화순전남대학교병원 환경보건센터당일<NA>전라남도 화순군 화순읍 서양로 322 화순전남대학병원35.059433127.0025http://www.cnuhh.com/061-370-5731
1819무등산동부전남대학교병원당일1박2일광주광역시 동구 제봉로 42 전남의대부속병원35.141532126.921775http://www.cnuh.com/1899-0000
1920무등산동부광주남구보건소당일<NA>명주소 광주광역시 남구 봉선로 1 남구종합청사35.133113126.902715http://www.namgu.gwangju.kr/health2013/062-607-4450
2021무등산동부광주북구보건소당일<NA>광주광역시 북구 우치로 6535.173343126.912162http://health.bukgu.gwangju.kr/062-410-8968