Overview

Dataset statistics

Number of variables4
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory36.6 B

Variable types

Categorical1
Text2
Numeric1

Dataset

Description경기도 전자책 등록통계 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=YSU1MRICTA7PVI6JVDO831447286&infSeq=1

Alerts

URL has unique valuesUnique
등록건수 has 1 (2.7%) zerosZeros

Reproduction

Analysis started2024-03-12 23:51:26.612529
Analysis finished2024-03-12 23:51:27.722646
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1차분류
Categorical

Distinct13
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
공공기관/산하단체
8 
백서/통계
5 
보고서/단행본
4 
기타
4 
정기간행물
3 
Other values (8)
13 

Length

Max length9
Median length7
Mean length5.8378378
Min length2

Unique

Unique4 ?
Unique (%)10.8%

Sample

1st row도정업무
2nd row도정업무
3rd row백서/통계
4th row백서/통계
5th row백서/통계

Common Values

ValueCountFrequency (%)
공공기관/산하단체 8
21.6%
백서/통계 5
13.5%
보고서/단행본 4
10.8%
기타 4
10.8%
정기간행물 3
 
8.1%
예산서/결산서 3
 
8.1%
도정업무 2
 
5.4%
경기도사 2
 
5.4%
학술대회/수상작 2
 
5.4%
디자인 1
 
2.7%
Other values (3) 3
 
8.1%

Length

2024-03-13T08:51:27.784482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공공기관/산하단체 8
21.6%
백서/통계 5
13.5%
보고서/단행본 4
10.8%
기타 4
10.8%
정기간행물 3
 
8.1%
예산서/결산서 3
 
8.1%
도정업무 2
 
5.4%
경기도사 2
 
5.4%
학술대회/수상작 2
 
5.4%
디자인 1
 
2.7%
Other values (3) 3
 
8.1%

2차분류
Text

Distinct29
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-13T08:51:27.954037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length5.4054054
Min length1

Characters and Unicode

Total characters200
Distinct characters96
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)67.6%

Sample

1st row공약/비전
2nd row업무계획, 지침/편람
3rd row본청
4th row의회/사업소/직속기관
5th row출연기관
ValueCountFrequency (%)
본청 3
 
7.5%
의회/사업소/직속기관 3
 
7.5%
출연기관 3
 
7.5%
시군 3
 
7.5%
공약/비전 1
 
2.5%
경기문화재단 1
 
2.5%
결산서 1
 
2.5%
도 1
 
2.5%
안내 1
 
2.5%
경기콘텐츠진흥원 1
 
2.5%
Other values (22) 22
55.0%
2024-03-13T08:51:28.247727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 18
 
9.0%
/ 10
 
5.0%
경 9
 
4.5%
관 7
 
3.5%
사 6
 
3.0%
도 5
 
2.5%
업 5
 
2.5%
재 4
 
2.0%
소 4
 
2.0%
연 4
 
2.0%
Other values (86) 128
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
93.0%
Other Punctuation 11
 
5.5%
Space Separator 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 18
 
9.7%
경 9
 
4.8%
관 7
 
3.8%
사 6
 
3.2%
도 5
 
2.7%
업 5
 
2.7%
재 4
 
2.2%
소 4
 
2.2%
연 4
 
2.2%
원 4
 
2.2%
Other values (83) 120
64.5%
Other Punctuation
ValueCountFrequency (%)
/ 10
90.9%
, 1
 
9.1%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
93.0%
Common 14
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 18
 
9.7%
경 9
 
4.8%
관 7
 
3.8%
사 6
 
3.2%
도 5
 
2.7%
업 5
 
2.7%
재 4
 
2.2%
소 4
 
2.2%
연 4
 
2.2%
원 4
 
2.2%
Other values (83) 120
64.5%
Common
ValueCountFrequency (%)
/ 10
71.4%
3
 
21.4%
, 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
93.0%
ASCII 14
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 18
 
9.7%
경 9
 
4.8%
관 7
 
3.8%
사 6
 
3.2%
도 5
 
2.7%
업 5
 
2.7%
재 4
 
2.2%
소 4
 
2.2%
연 4
 
2.2%
원 4
 
2.2%
Other values (83) 120
64.5%
ASCII
ValueCountFrequency (%)
/ 10
71.4%
3
 
21.4%
, 1
 
7.1%

등록건수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.891892
Minimum0
Maximum504
Zeros1
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size465.0 B
2024-03-13T08:51:28.348883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.6
Q15
median17
Q388
95-th percentile317
Maximum504
Range504
Interquartile range (IQR)83

Descriptive statistics

Standard deviation112.67475
Coefficient of variation (CV)1.5457789
Kurtosis5.4954972
Mean72.891892
Median Absolute Deviation (MAD)14
Skewness2.2609234
Sum2697
Variance12695.599
MonotonicityNot monotonic
2024-03-13T08:51:28.450791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 5
 
13.5%
5 3
 
8.1%
13 2
 
5.4%
4 2
 
5.4%
100 1
 
2.7%
504 1
 
2.7%
40 1
 
2.7%
0 1
 
2.7%
70 1
 
2.7%
1 1
 
2.7%
Other values (19) 19
51.4%
ValueCountFrequency (%)
0 1
 
2.7%
1 1
 
2.7%
3 5
13.5%
4 2
 
5.4%
5 3
8.1%
6 1
 
2.7%
8 1
 
2.7%
12 1
 
2.7%
13 2
 
5.4%
15 1
 
2.7%
ValueCountFrequency (%)
504 1
2.7%
325 1
2.7%
315 1
2.7%
189 1
2.7%
186 1
2.7%
178 1
2.7%
170 1
2.7%
162 1
2.7%
100 1
2.7%
88 1
2.7%

URL
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2024-03-13T08:51:28.623545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length38
Mean length37.945946
Min length36

Characters and Unicode

Total characters1404
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st rowebook.gg.go.kr/home/list.php?code=2410
2nd rowebook.gg.go.kr/home/list.php?code=2411
3rd rowebook.gg.go.kr/home/list.php?code=1610
4th rowebook.gg.go.kr/home/list.php?code=1611
5th rowebook.gg.go.kr/home/list.php?code=1612
ValueCountFrequency (%)
ebook.gg.go.kr/home/list.php?code=2410 1
 
2.7%
ebook.gg.go.kr/home/list.php?code=2212 1
 
2.7%
ebook.gg.go.kr/home/list.php?code=2311 1
 
2.7%
ebook.gg.go.kr/home/list.php?code=2312 1
 
2.7%
ebook.gg.go.kr/home/list.php?code=2313 1
 
2.7%
ebook.gg.go.kr/home/list.php?code=1422 1
 
2.7%
ebook.gg.go.kr/home/list.php?code=1413 1
 
2.7%
ebook.gg.go.kr/home/list.php?code=1423 1
 
2.7%
ebook.gg.go.kr/home/list.php?code=1418 1
 
2.7%
ebook.gg.go.kr/home/list.php?code=1421 1
 
2.7%
Other values (27) 27
73.0%
2024-03-13T08:51:28.932016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 185
13.2%
. 148
 
10.5%
e 111
 
7.9%
g 111
 
7.9%
/ 74
 
5.3%
h 74
 
5.3%
p 74
 
5.3%
k 74
 
5.3%
1 59
 
4.2%
r 37
 
2.6%
Other values (19) 457
32.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 962
68.5%
Other Punctuation 259
 
18.4%
Decimal Number 146
 
10.4%
Math Symbol 37
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 185
19.2%
e 111
11.5%
g 111
11.5%
h 74
 
7.7%
p 74
 
7.7%
k 74
 
7.7%
r 37
 
3.8%
b 37
 
3.8%
d 37
 
3.8%
c 37
 
3.8%
Other values (5) 185
19.2%
Decimal Number
ValueCountFrequency (%)
1 59
40.4%
2 33
22.6%
4 12
 
8.2%
0 12
 
8.2%
3 10
 
6.8%
6 7
 
4.8%
8 6
 
4.1%
7 5
 
3.4%
9 1
 
0.7%
5 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 148
57.1%
/ 74
28.6%
? 37
 
14.3%
Math Symbol
ValueCountFrequency (%)
= 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 962
68.5%
Common 442
31.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 185
19.2%
e 111
11.5%
g 111
11.5%
h 74
 
7.7%
p 74
 
7.7%
k 74
 
7.7%
r 37
 
3.8%
b 37
 
3.8%
d 37
 
3.8%
c 37
 
3.8%
Other values (5) 185
19.2%
Common
ValueCountFrequency (%)
. 148
33.5%
/ 74
16.7%
1 59
 
13.3%
? 37
 
8.4%
= 37
 
8.4%
2 33
 
7.5%
4 12
 
2.7%
0 12
 
2.7%
3 10
 
2.3%
6 7
 
1.6%
Other values (4) 13
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 185
13.2%
. 148
 
10.5%
e 111
 
7.9%
g 111
 
7.9%
/ 74
 
5.3%
h 74
 
5.3%
p 74
 
5.3%
k 74
 
5.3%
1 59
 
4.2%
r 37
 
2.6%
Other values (19) 457
32.5%

Interactions

2024-03-13T08:51:27.498650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:51:29.022921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1차분류2차분류등록건수URL
1차분류1.0000.8870.1441.000
2차분류0.8871.0000.0001.000
등록건수0.1440.0001.0001.000
URL1.0001.0001.0001.000
2024-03-13T08:51:29.098786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록건수1차분류
등록건수1.0000.000
1차분류0.0001.000

Missing values

2024-03-13T08:51:27.624066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:51:27.691702image/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

1차분류2차분류등록건수URL
0도정업무공약/비전100ebook.gg.go.kr/home/list.php?code=2410
1도정업무업무계획, 지침/편람186ebook.gg.go.kr/home/list.php?code=2411
2백서/통계본청170ebook.gg.go.kr/home/list.php?code=1610
3백서/통계의회/사업소/직속기관33ebook.gg.go.kr/home/list.php?code=1611
4백서/통계출연기관5ebook.gg.go.kr/home/list.php?code=1612
5백서/통계중앙부처5ebook.gg.go.kr/home/list.php?code=1613
6백서/통계시군3ebook.gg.go.kr/home/list.php?code=1614
7경기도사역사 및 문화17ebook.gg.go.kr/home/list.php?code=1712
8경기도사경기도사30ebook.gg.go.kr/home/list.php?code=1713
9보고서/단행본본청315ebook.gg.go.kr/home/list.php?code=1810
1차분류2차분류등록건수URL
27공공기관/산하단체경기도중소기업지원센터6ebook.gg.go.kr/home/list.php?code=1418
28공공기관/산하단체경기도과학기술진흥원3ebook.gg.go.kr/home/list.php?code=1421
29공공기관/산하단체경기도가족여성연구원46ebook.gg.go.kr/home/list.php?code=1424
30공공기관/산하단체경기신용보증재단1ebook.gg.go.kr/home/list.php?code=1425
31공공기관/산하단체경기콘텐츠진흥원4ebook.gg.go.kr/home/list.php?code=1426
32중앙부처자료보고서13ebook.gg.go.kr/home/list.php?code=2610
33예산서/결산서도70ebook.gg.go.kr/home/list.php?code=2710
34예산서/결산서시군0ebook.gg.go.kr/home/list.php?code=2711
35예산서/결산서결산서13ebook.gg.go.kr/home/list.php?code=2712
36소방교재40ebook.gg.go.kr/home/list.php?code=2810