Overview

Dataset statistics

Number of variables5
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory45.1 B

Variable types

Categorical2
Text3

Alerts

기준년도 has constant value ""Constant
링크명 has constant value ""Constant
시군명 has unique valuesUnique
자치단체명 has unique valuesUnique
URL has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:28:05.137471
Analysis finished2023-12-10 22:28:05.469823
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023
32 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 32
100.0%

Length

2023-12-11T07:28:05.525975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:28:05.605144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 32
100.0%

시군명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T07:28:05.772363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.09375
Min length3

Characters and Unicode

Total characters99
Distinct characters41
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

Unique32 ?
Unique (%)100.0%

Sample

1st row가평군
2nd row경기도
3rd row고양시
4th row과천시
5th row광명시
ValueCountFrequency (%)
가평군 1
 
3.1%
경기도 1
 
3.1%
하남시 1
 
3.1%
포천시 1
 
3.1%
평택시 1
 
3.1%
파주시 1
 
3.1%
이천시 1
 
3.1%
의정부시 1
 
3.1%
의왕시 1
 
3.1%
용인시 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T07:28:06.078243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
성 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
Other values (31) 35
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
성 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
Other values (31) 35
35.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
성 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
Other values (31) 35
35.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
성 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
Other values (31) 35
35.4%

자치단체명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T07:28:06.302358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0625
Min length4

Characters and Unicode

Total characters162
Distinct characters42
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

Unique32 ?
Unique (%)100.0%

Sample

1st row경기가평군
2nd row경기본청
3rd row경기고양시
4th row경기과천시
5th row경기광명시
ValueCountFrequency (%)
경기가평군 1
 
3.1%
경기본청 1
 
3.1%
경기하남시 1
 
3.1%
경기포천시 1
 
3.1%
경기평택시 1
 
3.1%
경기파주시 1
 
3.1%
경기이천시 1
 
3.1%
경기의정부시 1
 
3.1%
경기의왕시 1
 
3.1%
경기용인시 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T07:28:06.780750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 32
19.8%
기 32
19.8%
시 29
17.9%
천 6
 
3.7%
주 5
 
3.1%
양 5
 
3.1%
군 4
 
2.5%
성 3
 
1.9%
평 3
 
1.9%
남 3
 
1.9%
Other values (32) 40
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 32
19.8%
기 32
19.8%
시 29
17.9%
천 6
 
3.7%
주 5
 
3.1%
양 5
 
3.1%
군 4
 
2.5%
성 3
 
1.9%
평 3
 
1.9%
남 3
 
1.9%
Other values (32) 40
24.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 32
19.8%
기 32
19.8%
시 29
17.9%
천 6
 
3.7%
주 5
 
3.1%
양 5
 
3.1%
군 4
 
2.5%
성 3
 
1.9%
평 3
 
1.9%
남 3
 
1.9%
Other values (32) 40
24.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 32
19.8%
기 32
19.8%
시 29
17.9%
천 6
 
3.7%
주 5
 
3.1%
양 5
 
3.1%
군 4
 
2.5%
성 3
 
1.9%
평 3
 
1.9%
남 3
 
1.9%
Other values (32) 40
24.7%

링크명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
예산서
32 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
예산서 32
100.0%

Length

2023-12-11T07:28:06.944277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:28:07.061292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
예산서 32
100.0%

URL
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-11T07:28:07.323165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length66.5
Mean length61.96875
Min length31

Characters and Unicode

Total characters1983
Distinct characters59
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

Unique32 ?
Unique (%)100.0%

Sample

1st rowhttps://www.gp.go.kr/portal/contents.do?key=2344
2nd rowhttps://www.gg.go.kr/bbs/board.do?bsIdx=515&menuId=1946#page=1
3rd rowhttp://www.goyang.go.kr/www/user/bbs/BD_selectBbsList.do?q_bbsCode=1045
4th rowhttps://www.gccity.go.kr/portal/budgetStatus/list.do?mId=0203020000
5th rowhttps://www.gm.go.kr/pt/user/bbs/BD_selectBbsList.do?q_bbsCode=2261
ValueCountFrequency (%)
https://www.gp.go.kr/portal/contents.do?key=2344 1
 
3.1%
https://www.gg.go.kr/bbs/board.do?bsidx=515&menuid=1946#page=1 1
 
3.1%
https://www.hanam.go.kr/www/selectbbsnttlist.do?bbsno=7&key=42 1
 
3.1%
https://www.pocheon.go.kr/www/selectbbsnttlist.do?bbsno=1451&key=11963 1
 
3.1%
https://www.pyeongtaek.go.kr/pyeongtaek/contents.do?mid=0108010000 1
 
3.1%
https://www.paju.go.kr/user/board/bd_board.list.do?bbscd=2004&q_ctgcd=4006 1
 
3.1%
https://www.icheon.go.kr/portal/selectbbsnttlist.do?bbsno=31&key=1688 1
 
3.1%
https://www.ui4u.go.kr/portal/bbs/list.do?ptidx=64&mid=0107010100 1
 
3.1%
https://www.uiwang.go.kr/uwkoropen020101 1
 
3.1%
https://www.yongin.go.kr/home/ifop/ifopmunic/ifopmunic02.jsp 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T07:28:07.796148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 152
 
7.7%
/ 150
 
7.6%
. 127
 
6.4%
w 121
 
6.1%
s 116
 
5.8%
o 115
 
5.8%
e 83
 
4.2%
0 79
 
4.0%
b 63
 
3.2%
p 63
 
3.2%
Other values (49) 914
46.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1269
64.0%
Other Punctuation 350
 
17.7%
Decimal Number 229
 
11.5%
Uppercase Letter 86
 
4.3%
Math Symbol 40
 
2.0%
Connector Punctuation 9
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 152
12.0%
w 121
 
9.5%
s 116
 
9.1%
o 115
 
9.1%
e 83
 
6.5%
b 63
 
5.0%
p 63
 
5.0%
g 62
 
4.9%
n 58
 
4.6%
d 57
 
4.5%
Other values (15) 379
29.9%
Uppercase Letter
ValueCountFrequency (%)
N 17
19.8%
B 16
18.6%
I 12
14.0%
L 11
12.8%
D 6
 
7.0%
O 6
 
7.0%
C 5
 
5.8%
M 4
 
4.7%
P 2
 
2.3%
U 1
 
1.2%
Other values (6) 6
 
7.0%
Decimal Number
ValueCountFrequency (%)
0 79
34.5%
1 43
18.8%
3 22
 
9.6%
2 21
 
9.2%
4 19
 
8.3%
7 11
 
4.8%
6 10
 
4.4%
5 9
 
3.9%
9 8
 
3.5%
8 7
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 150
42.9%
. 127
36.3%
: 32
 
9.1%
? 26
 
7.4%
& 14
 
4.0%
# 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
= 40
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1355
68.3%
Common 628
31.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 152
 
11.2%
w 121
 
8.9%
s 116
 
8.6%
o 115
 
8.5%
e 83
 
6.1%
b 63
 
4.6%
p 63
 
4.6%
g 62
 
4.6%
n 58
 
4.3%
d 57
 
4.2%
Other values (31) 465
34.3%
Common
ValueCountFrequency (%)
/ 150
23.9%
. 127
20.2%
0 79
12.6%
1 43
 
6.8%
= 40
 
6.4%
: 32
 
5.1%
? 26
 
4.1%
3 22
 
3.5%
2 21
 
3.3%
4 19
 
3.0%
Other values (8) 69
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 152
 
7.7%
/ 150
 
7.6%
. 127
 
6.4%
w 121
 
6.1%
s 116
 
5.8%
o 115
 
5.8%
e 83
 
4.2%
0 79
 
4.0%
b 63
 
3.2%
p 63
 
3.2%
Other values (49) 914
46.1%

Correlations

2023-12-11T07:28:07.914247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명자치단체명URL
시군명1.0001.0001.000
자치단체명1.0001.0001.000
URL1.0001.0001.000

Missing values

2023-12-11T07:28:05.312716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:28:05.435685image/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

기준년도시군명자치단체명링크명URL
02023가평군경기가평군예산서https://www.gp.go.kr/portal/contents.do?key=2344
12023경기도경기본청예산서https://www.gg.go.kr/bbs/board.do?bsIdx=515&menuId=1946#page=1
22023고양시경기고양시예산서http://www.goyang.go.kr/www/user/bbs/BD_selectBbsList.do?q_bbsCode=1045
32023과천시경기과천시예산서https://www.gccity.go.kr/portal/budgetStatus/list.do?mId=0203020000
42023광명시경기광명시예산서https://www.gm.go.kr/pt/user/bbs/BD_selectBbsList.do?q_bbsCode=2261
52023광주시경기광주시예산서https://www.gjcity.go.kr/portal/bbs/list.do?ptIdx=37&mId=0303010000&token=1684201941794
62023구리시경기구리시예산서https://www.guri.go.kr/www/selectBbsNttList.do?bbsNo=10&key=324
72023군포시경기군포시예산서https://www.gunpo.go.kr/www/contents.do?key=1008739
82023김포시경기김포시예산서https://www.gimpo.go.kr/portal/selectBbsNttList.do?bbsNo=295&key=1115
92023남양주시경기남양주시예산서https://www.nyj.go.kr/main/1670
기준년도시군명자치단체명링크명URL
222023오산시경기오산시예산서https://www.osan.go.kr/portal/bbs/list.do?ptIdx=173&mId=0202030100
232023용인시경기용인시예산서https://www.yongin.go.kr/home/ifOp/ifOpMunic/ifOpMunic02.jsp
242023의왕시경기의왕시예산서https://www.uiwang.go.kr/UWKOROPEN020101
252023의정부시경기의정부시예산서https://www.ui4u.go.kr/portal/bbs/list.do?ptIdx=64&mId=0107010100
262023이천시경기이천시예산서https://www.icheon.go.kr/portal/selectBbsNttList.do?bbsNo=31&key=1688
272023파주시경기파주시예산서https://www.paju.go.kr/user/board/BD_board.list.do?bbsCd=2004&q_ctgCd=4006
282023평택시경기평택시예산서https://www.pyeongtaek.go.kr/pyeongtaek/contents.do?mId=0108010000
292023포천시경기포천시예산서https://www.pocheon.go.kr/www/selectBbsNttList.do?bbsNo=1451&key=11963
302023하남시경기하남시예산서https://www.hanam.go.kr/www/selectBbsNttList.do?bbsNo=7&key=42
312023화성시경기화성시예산서https://money.hscity.go.kr/Money/finfo/budOpen.jsp