Overview

Dataset statistics

Number of variables2
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory752.0 B
Average record size in memory19.3 B

Variable types

Categorical1
Text1

Dataset

Description인천시는 시민 누구나 디지털 혜택을 누릴 수 있도록 디지털 역량강화 교육 사업을 추진하고 있으며, 붙임 데이터는 2023년 인천시 디지털배움터(교육장소) 운영현황임.
Author인천광역시
URLhttps://www.data.go.kr/data/15121420/fileData.do

Alerts

배움터명 has unique valuesUnique

Reproduction

Analysis started2024-04-20 19:31:01.024482
Analysis finished2024-04-20 19:31:01.376795
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

군구
Categorical

Distinct10
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size440.0 B
미추홀구
6 
남동구
6 
서구
6 
중구
5 
계양구
5 
Other values (5)
11 

Length

Max length4
Median length3
Mean length2.8205128
Min length2

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row강화군
2nd row옹진군
3rd row중구
4th row중구
5th row중구

Common Values

ValueCountFrequency (%)
미추홀구 6
15.4%
남동구 6
15.4%
서구 6
15.4%
중구 5
12.8%
계양구 5
12.8%
연수구 4
10.3%
부평구 3
7.7%
동구 2
 
5.1%
강화군 1
 
2.6%
옹진군 1
 
2.6%

Length

2024-04-21T04:31:01.508087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:31:01.748999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구 6
15.4%
남동구 6
15.4%
서구 6
15.4%
중구 5
12.8%
계양구 5
12.8%
연수구 4
10.3%
부평구 3
7.7%
동구 2
 
5.1%
강화군 1
 
2.6%
옹진군 1
 
2.6%

배움터명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size440.0 B
2024-04-21T04:31:02.480275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length11.205128
Min length5

Characters and Unicode

Total characters437
Distinct characters124
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)100.0%

Sample

1st row(거점)강화군 행복센터
2nd row(거점)옹진군청
3rd row(거점)중구청 정보화교육장
4th row영종1동 행정복지센터
5th row영종공감복지센터
ValueCountFrequency (%)
행정복지센터 7
 
11.5%
평생학습관 3
 
4.9%
정보화교육장 3
 
4.9%
거점)계양구청 1
 
1.6%
거점)미추홀도서관 1
 
1.6%
인천광역시교육청계양도서관 1
 
1.6%
효성노인문화센터 1
 
1.6%
인천남동지역 1
 
1.6%
자활센터 1
 
1.6%
논현종합사회복지관 1
 
1.6%
Other values (41) 41
67.2%
2024-04-21T04:31:03.450558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
5.5%
터 20
 
4.6%
센 19
 
4.3%
지 18
 
4.1%
정 16
 
3.7%
복 15
 
3.4%
( 14
 
3.2%
) 14
 
3.2%
동 13
 
3.0%
관 12
 
2.7%
Other values (114) 272
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
85.1%
Space Separator 24
 
5.5%
Open Punctuation 14
 
3.2%
Close Punctuation 14
 
3.2%
Decimal Number 11
 
2.5%
Uppercase Letter 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 20
 
5.4%
센 19
 
5.1%
지 18
 
4.8%
정 16
 
4.3%
복 15
 
4.0%
동 13
 
3.5%
관 12
 
3.2%
행 10
 
2.7%
화 10
 
2.7%
청 10
 
2.7%
Other values (103) 229
61.6%
Decimal Number
ValueCountFrequency (%)
2 5
45.5%
1 2
 
18.2%
6 1
 
9.1%
4 1
 
9.1%
3 1
 
9.1%
5 1
 
9.1%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
85.1%
Common 64
 
14.6%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 20
 
5.4%
센 19
 
5.1%
지 18
 
4.8%
정 16
 
4.3%
복 15
 
4.0%
동 13
 
3.5%
관 12
 
3.2%
행 10
 
2.7%
화 10
 
2.7%
청 10
 
2.7%
Other values (103) 229
61.6%
Common
ValueCountFrequency (%)
24
37.5%
( 14
21.9%
) 14
21.9%
2 5
 
7.8%
1 2
 
3.1%
6 1
 
1.6%
4 1
 
1.6%
3 1
 
1.6%
, 1
 
1.6%
5 1
 
1.6%
Latin
ValueCountFrequency (%)
K 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
85.1%
ASCII 65
 
14.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
36.9%
( 14
21.5%
) 14
21.5%
2 5
 
7.7%
1 2
 
3.1%
6 1
 
1.5%
4 1
 
1.5%
K 1
 
1.5%
3 1
 
1.5%
, 1
 
1.5%
Hangul
ValueCountFrequency (%)
터 20
 
5.4%
센 19
 
5.1%
지 18
 
4.8%
정 16
 
4.3%
복 15
 
4.0%
동 13
 
3.5%
관 12
 
3.2%
행 10
 
2.7%
화 10
 
2.7%
청 10
 
2.7%
Other values (103) 229
61.6%

Correlations

2024-04-21T04:31:03.604434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
군구배움터명
군구1.0001.000
배움터명1.0001.000

Missing values

2024-04-21T04:31:01.220399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T04:31:01.332580image/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

군구배움터명
0강화군(거점)강화군 행복센터
1옹진군(거점)옹진군청
2중구(거점)중구청 정보화교육장
3중구영종1동 행정복지센터
4중구영종공감복지센터
5중구성미가엘종합사회복지관
6중구영종하늘도서관
7동구(거점)동구청 정보화교육장
8동구동구 장애인 주간보호센터
9미추홀구(거점)미추홀구청 정보화교육장
군구배움터명
29계양구인천광역시교육청계양도서관
30계양구효성노인문화센터
31계양구계양구노인복지관
32계양구계산노인문화센터
33서구(거점)청라2동행정복지센터(청라정보교육센터)
34서구가좌4동 행정복지센터
35서구당하동행정복지센터(검단정보교육센터)
36서구연희노인문화센터
37서구푸른숲 작은도서관
38서구서구청 정보화교육장(지하1층)