Overview

Dataset statistics

Number of variables2
Number of observations1728
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.8 KiB
Average record size in memory17.1 B

Variable types

Numeric1
Text1

Dataset

Description전라남도 여수시 관광홈페이지의 조직정보 관련 데이터로서 전라남도 여수시 관광홈페이지의 담당부서 및 담당자를 순서대로 매겨진 번호, 전라남도 여수시 관광홈페이지 내 문화관광 조직정보(담당부서 및 담당자 정보)에 관해 대표하거나 내용을 보이기 위하여 붙이는 이름 등을 제공합니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/15040851/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:45:00.785907
Analysis finished2023-12-12 14:45:01.185411
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct1728
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean864.5
Minimum1
Maximum1728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2023-12-12T23:45:01.275258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile87.35
Q1432.75
median864.5
Q31296.25
95-th percentile1641.65
Maximum1728
Range1727
Interquartile range (IQR)863.5

Descriptive statistics

Standard deviation498.97495
Coefficient of variation (CV)0.57718328
Kurtosis-1.2
Mean864.5
Median Absolute Deviation (MAD)432
Skewness0
Sum1493856
Variance248976
MonotonicityStrictly increasing
2023-12-12T23:45:01.488392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1150 1
 
0.1%
1161 1
 
0.1%
1160 1
 
0.1%
1159 1
 
0.1%
1158 1
 
0.1%
1157 1
 
0.1%
1156 1
 
0.1%
1155 1
 
0.1%
1154 1
 
0.1%
Other values (1718) 1718
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1728 1
0.1%
1727 1
0.1%
1726 1
0.1%
1725 1
0.1%
1724 1
0.1%
1723 1
0.1%
1722 1
0.1%
1721 1
0.1%
1720 1
0.1%
1719 1
0.1%

명칭
Text

Distinct868
Distinct (%)50.2%
Missing0
Missing (%)0.0%
Memory size13.6 KiB
2023-12-12T23:45:01.800263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length4.2627315
Min length2

Characters and Unicode

Total characters7366
Distinct characters272
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique837 ?
Unique (%)48.4%

Sample

1st row전라남도
2nd row여수시
3rd row직속기관
4th row출장소
5th row의회사무국
ValueCountFrequency (%)
주무관 376
21.7%
실무원 171
 
9.9%
차장 149
 
8.6%
맞춤형복지 27
 
1.6%
맞춤형복지팀장 26
 
1.5%
행정민원 20
 
1.2%
청원경찰 18
 
1.0%
행정민원팀장 18
 
1.0%
총무 8
 
0.5%
민원봉사 7
 
0.4%
Other values (860) 914
52.7%
2023-12-12T23:45:02.244285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 679
 
9.2%
무 576
 
7.8%
관 517
 
7.0%
주 390
 
5.3%
원 371
 
5.0%
팀 358
 
4.9%
지 186
 
2.5%
실 175
 
2.4%
차 163
 
2.2%
정 143
 
1.9%
Other values (262) 3808
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7298
99.1%
Uppercase Letter 34
 
0.5%
Decimal Number 8
 
0.1%
Space Separator 6
 
0.1%
Other Punctuation 5
 
0.1%
Open Punctuation 4
 
0.1%
Lowercase Letter 4
 
0.1%
Close Punctuation 4
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 679
 
9.3%
무 576
 
7.9%
관 517
 
7.1%
주 390
 
5.3%
원 371
 
5.1%
팀 358
 
4.9%
지 186
 
2.5%
실 175
 
2.4%
차 163
 
2.2%
정 143
 
2.0%
Other values (244) 3740
51.2%
Uppercase Letter
ValueCountFrequency (%)
C 8
23.5%
T 8
23.5%
F 6
17.6%
V 2
 
5.9%
P 2
 
5.9%
O 2
 
5.9%
E 2
 
5.9%
I 2
 
5.9%
M 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
3 4
50.0%
2 2
25.0%
1 2
25.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7298
99.1%
Latin 38
 
0.5%
Common 30
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 679
 
9.3%
무 576
 
7.9%
관 517
 
7.1%
주 390
 
5.3%
원 371
 
5.1%
팀 358
 
4.9%
지 186
 
2.5%
실 175
 
2.4%
차 163
 
2.2%
정 143
 
2.0%
Other values (244) 3740
51.2%
Latin
ValueCountFrequency (%)
C 8
21.1%
T 8
21.1%
F 6
15.8%
e 4
10.5%
V 2
 
5.3%
P 2
 
5.3%
O 2
 
5.3%
E 2
 
5.3%
I 2
 
5.3%
M 2
 
5.3%
Common
ValueCountFrequency (%)
6
20.0%
/ 5
16.7%
3 4
13.3%
( 4
13.3%
) 4
13.3%
- 3
10.0%
2 2
 
6.7%
1 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7298
99.1%
ASCII 68
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 679
 
9.3%
무 576
 
7.9%
관 517
 
7.1%
주 390
 
5.3%
원 371
 
5.1%
팀 358
 
4.9%
지 186
 
2.5%
실 175
 
2.4%
차 163
 
2.2%
정 143
 
2.0%
Other values (244) 3740
51.2%
ASCII
ValueCountFrequency (%)
C 8
11.8%
T 8
11.8%
F 6
 
8.8%
6
 
8.8%
/ 5
 
7.4%
3 4
 
5.9%
( 4
 
5.9%
e 4
 
5.9%
) 4
 
5.9%
- 3
 
4.4%
Other values (8) 16
23.5%

Interactions

2023-12-12T23:45:00.939197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T23:45:01.077072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:45:01.152560image/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

번호명칭
01전라남도
12여수시
23직속기관
34출장소
45의회사무국
56사업소
67읍면동
78시장실
89시장
910부시장실
번호명칭
17181719행정민원
17191720행정민원팀장
17201721주무관
17211722맞춤형복지
17221723맞춤형복지팀장
17231724주무관
17241725도의원
17251726도의원
17261727시의원
17271728시의원