Overview

Dataset statistics

Number of variables23
Number of observations1821
Missing cells3111
Missing cells (%)7.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory327.3 KiB
Average record size in memory184.1 B

Variable types

Categorical11
Text10
DateTime2

Dataset

Description경기데이터드림 서비스 목록
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=HDK8B7JWCWXAC2Z38ON513278947&infSeq=1

Alerts

SHEET is highly imbalanced (66.9%)Imbalance
CHART is highly imbalanced (51.6%)Imbalance
API is highly imbalanced (66.2%)Imbalance
LINK is highly imbalanced (68.0%)Imbalance
FILE is highly imbalanced (64.1%)Imbalance
MUTIMEDIA is highly imbalanced (88.9%)Imbalance
이용허락조건 is highly imbalanced (80.1%)Imbalance
제공부서 has 1368 (75.1%) missing valuesMissing
태그 has 47 (2.6%) missing valuesMissing
항목설명 has 1407 (77.3%) missing valuesMissing
API_URL has 114 (6.3%) missing valuesMissing
최종수정일 has 65 (3.6%) missing valuesMissing
데이터기준일자 has 108 (5.9%) missing valuesMissing
서비스URL has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:15:00.731665
Analysis finished2023-12-10 21:15:02.596944
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류체계
Categorical

Distinct9
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
가족복지보건
377 
교통건설환경
356 
관광문화체육
253 
산업경제
214 
교육취업
159 
Other values (4)
462 

Length

Max length6
Median length6
Mean length5.4629325
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관광문화체육
2nd row교통건설환경
3rd row교통건설환경
4th row교통건설환경
5th row교통건설환경

Common Values

ValueCountFrequency (%)
가족복지보건 377
20.7%
교통건설환경 356
19.5%
관광문화체육 253
13.9%
산업경제 214
11.8%
교육취업 159
8.7%
조세법무행정 152
8.3%
농림축산해양 122
 
6.7%
도시주택 116
 
6.4%
소방재난안전 72
 
4.0%

Length

2023-12-11T06:15:02.664581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:02.790086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가족복지보건 377
20.7%
교통건설환경 356
19.5%
관광문화체육 253
13.9%
산업경제 214
11.8%
교육취업 159
8.7%
조세법무행정 152
8.3%
농림축산해양 122
 
6.7%
도시주택 116
 
6.4%
소방재난안전 72
 
4.0%

소분류
Categorical

Distinct23
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
복지
245 
교통
209 
산업
183 
교육
144 
관광
128 
Other values (18)
912 

Length

Max length4
Median length2
Mean length2.062603
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관광
2nd row교통
3rd row교통
4th row교통
5th row교통

Common Values

ValueCountFrequency (%)
복지 245
13.5%
교통 209
11.5%
산업 183
10.0%
교육 144
 
7.9%
관광 128
 
7.0%
환경 128
 
7.0%
행정 113
 
6.2%
보건 105
 
5.8%
문화 86
 
4.7%
도시 81
 
4.4%
Other values (13) 399
21.9%

Length

2023-12-11T06:15:02.925571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
복지 245
13.5%
교통 209
11.5%
산업 183
10.0%
교육 144
 
7.9%
관광 128
 
7.0%
환경 128
 
7.0%
행정 113
 
6.2%
보건 105
 
5.8%
문화 86
 
4.7%
도시 81
 
4.4%
Other values (13) 399
21.9%

갱신주기
Categorical

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
연간
783 
주기없음
330 
주간
289 
수시
191 
반기
 
74
Other values (3)
154 

Length

Max length4
Median length2
Mean length2.3624382
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주간
2nd row주기없음
3rd row주기없음
4th row주기없음
5th row주기없음

Common Values

ValueCountFrequency (%)
연간 783
43.0%
주기없음 330
18.1%
주간 289
 
15.9%
수시 191
 
10.5%
반기 74
 
4.1%
월간 70
 
3.8%
일간 44
 
2.4%
분기 40
 
2.2%

Length

2023-12-11T06:15:03.057496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:03.180519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연간 783
43.0%
주기없음 330
18.1%
주간 289
 
15.9%
수시 191
 
10.5%
반기 74
 
4.1%
월간 70
 
3.8%
일간 44
 
2.4%
분기 40
 
2.2%
Distinct76
Distinct (%)4.2%
Missing2
Missing (%)0.1%
Memory size14.4 KiB
2023-12-11T06:15:03.380637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length8.1094008
Min length3

Characters and Unicode

Total characters14751
Distinct characters177
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)1.8%

Sample

1st row지방행정 데이터 개방시스템
2nd row경기도 도로대장전산화시스템
3rd row경기도 도로대장전산화시스템
4th row경기도 도로대장전산화시스템
5th row경기도 도로대장전산화시스템
ValueCountFrequency (%)
파일시스템 824
31.9%
데이터 331
12.8%
개방시스템 331
12.8%
지방행정 331
12.8%
공공데이터포털 117
 
4.5%
지방재정365 74
 
2.9%
홈페이지 60
 
2.3%
경기도버스운송관리시스템(bms 59
 
2.3%
학교알리미 45
 
1.7%
지방교육재정 35
 
1.4%
Other values (75) 376
14.6%
2023-12-11T06:15:03.793717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1363
 
9.2%
1306
 
8.9%
1291
 
8.8%
838
 
5.7%
828
 
5.6%
784
 
5.3%
764
 
5.2%
561
 
3.8%
526
 
3.6%
519
 
3.5%
Other values (167) 5971
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13359
90.6%
Space Separator 764
 
5.2%
Uppercase Letter 236
 
1.6%
Decimal Number 222
 
1.5%
Open Punctuation 67
 
0.5%
Close Punctuation 67
 
0.5%
Lowercase Letter 26
 
0.2%
Other Punctuation 5
 
< 0.1%
Math Symbol 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1363
 
10.2%
1306
 
9.8%
1291
 
9.7%
838
 
6.3%
828
 
6.2%
784
 
5.9%
561
 
4.2%
526
 
3.9%
519
 
3.9%
496
 
3.7%
Other values (133) 4847
36.3%
Uppercase Letter
ValueCountFrequency (%)
B 80
33.9%
S 59
25.0%
M 59
25.0%
D 22
 
9.3%
O 3
 
1.3%
T 2
 
0.8%
R 2
 
0.8%
N 2
 
0.8%
E 1
 
0.4%
K 1
 
0.4%
Other values (5) 5
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
g 8
30.8%
e 5
19.2%
c 4
15.4%
r 3
 
11.5%
k 2
 
7.7%
f 2
 
7.7%
a 1
 
3.8%
m 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
6 74
33.3%
5 74
33.3%
3 74
33.3%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
/ 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
+ 3
75.0%
> 1
 
25.0%
Space Separator
ValueCountFrequency (%)
764
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13359
90.6%
Common 1130
 
7.7%
Latin 262
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1363
 
10.2%
1306
 
9.8%
1291
 
9.7%
838
 
6.3%
828
 
6.2%
784
 
5.9%
561
 
4.2%
526
 
3.9%
519
 
3.9%
496
 
3.7%
Other values (133) 4847
36.3%
Latin
ValueCountFrequency (%)
B 80
30.5%
S 59
22.5%
M 59
22.5%
D 22
 
8.4%
g 8
 
3.1%
e 5
 
1.9%
c 4
 
1.5%
O 3
 
1.1%
r 3
 
1.1%
T 2
 
0.8%
Other values (13) 17
 
6.5%
Common
ValueCountFrequency (%)
764
67.6%
6 74
 
6.5%
5 74
 
6.5%
3 74
 
6.5%
( 67
 
5.9%
) 67
 
5.9%
. 4
 
0.4%
+ 3
 
0.3%
> 1
 
0.1%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13359
90.6%
ASCII 1392
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1363
 
10.2%
1306
 
9.8%
1291
 
9.7%
838
 
6.3%
828
 
6.2%
784
 
5.9%
561
 
4.2%
526
 
3.9%
519
 
3.9%
496
 
3.7%
Other values (133) 4847
36.3%
ASCII
ValueCountFrequency (%)
764
54.9%
B 80
 
5.7%
6 74
 
5.3%
5 74
 
5.3%
3 74
 
5.3%
( 67
 
4.8%
) 67
 
4.8%
S 59
 
4.2%
M 59
 
4.2%
D 22
 
1.6%
Other values (24) 52
 
3.7%
Distinct81
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2023-12-11T06:15:04.017718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length6.1889072
Min length2

Characters and Unicode

Total characters11270
Distinct characters161
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)1.4%

Sample

1st row행정안전부
2nd row경기도
3rd row경기도
4th row경기도
5th row경기도
ValueCountFrequency (%)
경기도 907
41.0%
행정안전부 407
18.4%
130
 
5.9%
기관 130
 
5.9%
경기복지재단(경기도장애인복지종합지원센터 125
 
5.7%
31개 84
 
3.8%
교육부 37
 
1.7%
경기관광공사 31
 
1.4%
경기주택도시공사 30
 
1.4%
30개 25
 
1.1%
Other values (74) 306
 
13.8%
2023-12-11T06:15:04.419558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1514
 
13.4%
1387
 
12.3%
1171
 
10.4%
463
 
4.1%
437
 
3.9%
416
 
3.7%
415
 
3.7%
407
 
3.6%
391
 
3.5%
386
 
3.4%
Other values (151) 4283
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10346
91.8%
Space Separator 391
 
3.5%
Decimal Number 259
 
2.3%
Open Punctuation 125
 
1.1%
Close Punctuation 125
 
1.1%
Uppercase Letter 24
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1514
14.6%
1387
 
13.4%
1171
 
11.3%
463
 
4.5%
437
 
4.2%
416
 
4.0%
415
 
4.0%
407
 
3.9%
386
 
3.7%
255
 
2.5%
Other values (133) 3495
33.8%
Decimal Number
ValueCountFrequency (%)
3 112
43.2%
1 87
33.6%
0 26
 
10.0%
2 17
 
6.6%
9 5
 
1.9%
8 4
 
1.5%
6 4
 
1.5%
7 3
 
1.2%
5 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
X 4
16.7%
E 4
16.7%
T 4
16.7%
N 4
16.7%
I 4
16.7%
K 4
16.7%
Space Separator
ValueCountFrequency (%)
391
100.0%
Open Punctuation
ValueCountFrequency (%)
( 125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10346
91.8%
Common 900
 
8.0%
Latin 24
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1514
14.6%
1387
 
13.4%
1171
 
11.3%
463
 
4.5%
437
 
4.2%
416
 
4.0%
415
 
4.0%
407
 
3.9%
386
 
3.7%
255
 
2.5%
Other values (133) 3495
33.8%
Common
ValueCountFrequency (%)
391
43.4%
( 125
 
13.9%
) 125
 
13.9%
3 112
 
12.4%
1 87
 
9.7%
0 26
 
2.9%
2 17
 
1.9%
9 5
 
0.6%
8 4
 
0.4%
6 4
 
0.4%
Other values (2) 4
 
0.4%
Latin
ValueCountFrequency (%)
X 4
16.7%
E 4
16.7%
T 4
16.7%
N 4
16.7%
I 4
16.7%
K 4
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10346
91.8%
ASCII 924
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1514
14.6%
1387
 
13.4%
1171
 
11.3%
463
 
4.5%
437
 
4.2%
416
 
4.0%
415
 
4.0%
407
 
3.9%
386
 
3.7%
255
 
2.5%
Other values (133) 3495
33.8%
ASCII
ValueCountFrequency (%)
391
42.3%
( 125
 
13.5%
) 125
 
13.5%
3 112
 
12.1%
1 87
 
9.4%
0 26
 
2.8%
2 17
 
1.8%
9 5
 
0.5%
X 4
 
0.4%
8 4
 
0.4%
Other values (8) 28
 
3.0%

제공부서
Text

MISSING 

Distinct135
Distinct (%)29.8%
Missing1368
Missing (%)75.1%
Memory size14.4 KiB
2023-12-11T06:15:04.750520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.8852097
Min length3

Characters and Unicode

Total characters2666
Distinct characters184
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)9.9%

Sample

1st row여성비전센터
2nd row장애인복지과
3rd row자연재난과
4th row미세먼지연구부
5th row미세먼지연구부
ValueCountFrequency (%)
ai빅데이터산업과 41
 
9.0%
체육진흥과 26
 
5.7%
상하수과 14
 
3.1%
노인복지과 13
 
2.9%
환경안전관리과 10
 
2.2%
총무과 10
 
2.2%
미세먼지연구부 9
 
2.0%
기후환경정책과 8
 
1.8%
식품안전과 8
 
1.8%
건축디자인과 8
 
1.8%
Other values (126) 308
67.7%
2023-12-11T06:15:05.208072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
371
 
13.9%
90
 
3.4%
87
 
3.3%
69
 
2.6%
65
 
2.4%
65
 
2.4%
64
 
2.4%
47
 
1.8%
43
 
1.6%
I 41
 
1.5%
Other values (174) 1724
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2582
96.8%
Uppercase Letter 82
 
3.1%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
371
 
14.4%
90
 
3.5%
87
 
3.4%
69
 
2.7%
65
 
2.5%
65
 
2.5%
64
 
2.5%
47
 
1.8%
43
 
1.7%
41
 
1.6%
Other values (171) 1640
63.5%
Uppercase Letter
ValueCountFrequency (%)
I 41
50.0%
A 41
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2582
96.8%
Latin 82
 
3.1%
Common 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
371
 
14.4%
90
 
3.5%
87
 
3.4%
69
 
2.7%
65
 
2.5%
65
 
2.5%
64
 
2.5%
47
 
1.8%
43
 
1.7%
41
 
1.6%
Other values (171) 1640
63.5%
Latin
ValueCountFrequency (%)
I 41
50.0%
A 41
50.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2582
96.8%
ASCII 84
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
371
 
14.4%
90
 
3.5%
87
 
3.4%
69
 
2.7%
65
 
2.5%
65
 
2.5%
64
 
2.5%
47
 
1.8%
43
 
1.7%
41
 
1.6%
Other values (171) 1640
63.5%
ASCII
ValueCountFrequency (%)
I 41
48.8%
A 41
48.8%
2
 
2.4%

태그
Text

MISSING 

Distinct1701
Distinct (%)95.9%
Missing47
Missing (%)2.6%
Memory size14.4 KiB
2023-12-11T06:15:05.542514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length160
Median length111
Mean length62.693348
Min length4

Characters and Unicode

Total characters111218
Distinct characters774
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1678 ?
Unique (%)94.6%

Sample

1st row국가중점데이터,편의점 현황,스낵,휴게소,휴게음식점,편의점,휴게 음식점,휴게음식,휴게 음식,라면,간식,커피,담배,냉동식품,아이스크림
2nd row가로등,등원,도로안전
3rd row가로수,수목,도로경관
4th row과속방지,교통안전,안전운전,보행자보호,주행속도저하
5th row낙석,도로안전,교통,돌
ValueCountFrequency (%)
경기도 104
 
1.5%
국가중점데이터,경기도 59
 
0.8%
현황 46
 
0.7%
학생 41
 
0.6%
현황,경기도 31
 
0.4%
장애인 29
 
0.4%
문화 24
 
0.3%
평가 23
 
0.3%
교육재정,교육재정 22
 
0.3%
지방자치단체 22
 
0.3%
Other values (5252) 6563
94.2%
2023-12-11T06:15:06.010479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 17132
 
15.4%
5190
 
4.7%
2358
 
2.1%
2089
 
1.9%
1751
 
1.6%
1690
 
1.5%
1563
 
1.4%
1436
 
1.3%
1435
 
1.3%
1429
 
1.3%
Other values (764) 75145
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87901
79.0%
Other Punctuation 17168
 
15.4%
Space Separator 5190
 
4.7%
Uppercase Letter 470
 
0.4%
Decimal Number 250
 
0.2%
Lowercase Letter 230
 
0.2%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2358
 
2.7%
2089
 
2.4%
1751
 
2.0%
1690
 
1.9%
1563
 
1.8%
1436
 
1.6%
1435
 
1.6%
1429
 
1.6%
1380
 
1.6%
1344
 
1.5%
Other values (703) 71426
81.3%
Uppercase Letter
ValueCountFrequency (%)
I 79
16.8%
A 50
10.6%
C 43
9.1%
O 40
 
8.5%
P 35
 
7.4%
D 28
 
6.0%
S 26
 
5.5%
G 24
 
5.1%
T 23
 
4.9%
V 20
 
4.3%
Other values (13) 102
21.7%
Lowercase Letter
ValueCountFrequency (%)
c 36
15.7%
t 32
13.9%
e 30
13.0%
n 16
 
7.0%
v 15
 
6.5%
a 15
 
6.5%
p 15
 
6.5%
i 11
 
4.8%
o 11
 
4.8%
r 7
 
3.0%
Other values (9) 42
18.3%
Decimal Number
ValueCountFrequency (%)
1 100
40.0%
0 42
16.8%
2 31
 
12.4%
9 22
 
8.8%
4 17
 
6.8%
3 12
 
4.8%
6 12
 
4.8%
5 7
 
2.8%
8 4
 
1.6%
7 3
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 17132
99.8%
. 17
 
0.1%
? 14
 
0.1%
· 3
 
< 0.1%
& 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
5190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87901
79.0%
Common 22617
 
20.3%
Latin 700
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2358
 
2.7%
2089
 
2.4%
1751
 
2.0%
1690
 
1.9%
1563
 
1.8%
1436
 
1.6%
1435
 
1.6%
1429
 
1.6%
1380
 
1.6%
1344
 
1.5%
Other values (703) 71426
81.3%
Latin
ValueCountFrequency (%)
I 79
 
11.3%
A 50
 
7.1%
C 43
 
6.1%
O 40
 
5.7%
c 36
 
5.1%
P 35
 
5.0%
t 32
 
4.6%
e 30
 
4.3%
D 28
 
4.0%
S 26
 
3.7%
Other values (32) 301
43.0%
Common
ValueCountFrequency (%)
, 17132
75.7%
5190
 
22.9%
1 100
 
0.4%
0 42
 
0.2%
2 31
 
0.1%
9 22
 
0.1%
4 17
 
0.1%
. 17
 
0.1%
? 14
 
0.1%
3 12
 
0.1%
Other values (9) 40
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87900
79.0%
ASCII 23314
 
21.0%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 17132
73.5%
5190
 
22.3%
1 100
 
0.4%
I 79
 
0.3%
A 50
 
0.2%
C 43
 
0.2%
0 42
 
0.2%
O 40
 
0.2%
c 36
 
0.2%
P 35
 
0.2%
Other values (50) 567
 
2.4%
Hangul
ValueCountFrequency (%)
2358
 
2.7%
2089
 
2.4%
1751
 
2.0%
1690
 
1.9%
1563
 
1.8%
1436
 
1.6%
1435
 
1.6%
1429
 
1.6%
1380
 
1.6%
1344
 
1.5%
Other values (702) 71425
81.3%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct1819
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2023-12-11T06:15:06.233740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length33
Mean length15.08402
Min length4

Characters and Unicode

Total characters27468
Distinct characters574
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1817 ?
Unique (%)99.8%

Sample

1st row휴게음식점(편의점) 현황
2nd row경기도_도로대장 전산화 시스템_가로등
3rd row경기도_도로대장 전산화 시스템_가로수
4th row경기도_도로대장 전산화 시스템_과속방지턱
5th row경기도_도로대장 전산화 시스템_낙석방지시설
ValueCountFrequency (%)
현황 1056
 
18.2%
경기도 222
 
3.8%
정보 130
 
2.2%
현황(제공표준 82
 
1.4%
집계현황 66
 
1.1%
집계 60
 
1.0%
경기도_bms 58
 
1.0%
44
 
0.8%
현황_인허가 41
 
0.7%
교육재정 33
 
0.6%
Other values (2521) 3995
69.0%
2023-12-11T06:15:06.561163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3968
 
14.4%
1392
 
5.1%
1385
 
5.0%
844
 
3.1%
622
 
2.3%
611
 
2.2%
439
 
1.6%
420
 
1.5%
) 411
 
1.5%
( 411
 
1.5%
Other values (564) 16965
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21678
78.9%
Space Separator 3968
 
14.4%
Close Punctuation 417
 
1.5%
Open Punctuation 417
 
1.5%
Uppercase Letter 367
 
1.3%
Connector Punctuation 341
 
1.2%
Other Punctuation 106
 
0.4%
Decimal Number 87
 
0.3%
Lowercase Letter 60
 
0.2%
Dash Punctuation 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1392
 
6.4%
1385
 
6.4%
844
 
3.9%
622
 
2.9%
611
 
2.8%
439
 
2.0%
420
 
1.9%
381
 
1.8%
357
 
1.6%
349
 
1.6%
Other values (499) 14878
68.6%
Uppercase Letter
ValueCountFrequency (%)
S 79
21.5%
M 65
17.7%
B 61
16.6%
C 28
 
7.6%
I 18
 
4.9%
O 15
 
4.1%
G 13
 
3.5%
T 12
 
3.3%
A 12
 
3.3%
V 10
 
2.7%
Other values (12) 54
14.7%
Lowercase Letter
ValueCountFrequency (%)
i 12
20.0%
e 7
11.7%
n 6
10.0%
l 6
10.0%
a 6
10.0%
r 3
 
5.0%
p 2
 
3.3%
o 2
 
3.3%
m 2
 
3.3%
d 2
 
3.3%
Other values (8) 12
20.0%
Decimal Number
ValueCountFrequency (%)
1 31
35.6%
0 17
19.5%
2 13
14.9%
9 6
 
6.9%
6 6
 
6.9%
3 4
 
4.6%
8 4
 
4.6%
4 2
 
2.3%
7 2
 
2.3%
5 2
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 54
50.9%
· 23
21.7%
/ 18
 
17.0%
' 6
 
5.7%
. 2
 
1.9%
? 2
 
1.9%
! 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 411
98.6%
] 6
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 411
98.6%
[ 6
 
1.4%
Space Separator
ValueCountFrequency (%)
3968
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21676
78.9%
Common 5363
 
19.5%
Latin 427
 
1.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1392
 
6.4%
1385
 
6.4%
844
 
3.9%
622
 
2.9%
611
 
2.8%
439
 
2.0%
420
 
1.9%
381
 
1.8%
357
 
1.6%
349
 
1.6%
Other values (497) 14876
68.6%
Latin
ValueCountFrequency (%)
S 79
18.5%
M 65
15.2%
B 61
14.3%
C 28
 
6.6%
I 18
 
4.2%
O 15
 
3.5%
G 13
 
3.0%
i 12
 
2.8%
T 12
 
2.8%
A 12
 
2.8%
Other values (30) 112
26.2%
Common
ValueCountFrequency (%)
3968
74.0%
) 411
 
7.7%
( 411
 
7.7%
_ 341
 
6.4%
, 54
 
1.0%
1 31
 
0.6%
· 23
 
0.4%
- 23
 
0.4%
/ 18
 
0.3%
0 17
 
0.3%
Other values (15) 66
 
1.2%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21673
78.9%
ASCII 5767
 
21.0%
None 23
 
0.1%
Compat Jamo 3
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3968
68.8%
) 411
 
7.1%
( 411
 
7.1%
_ 341
 
5.9%
S 79
 
1.4%
M 65
 
1.1%
B 61
 
1.1%
, 54
 
0.9%
1 31
 
0.5%
C 28
 
0.5%
Other values (54) 318
 
5.5%
Hangul
ValueCountFrequency (%)
1392
 
6.4%
1385
 
6.4%
844
 
3.9%
622
 
2.9%
611
 
2.8%
439
 
2.0%
420
 
1.9%
381
 
1.8%
357
 
1.6%
349
 
1.6%
Other values (496) 14873
68.6%
None
ValueCountFrequency (%)
· 23
100.0%
Compat Jamo
ValueCountFrequency (%)
3
100.0%
CJK
ValueCountFrequency (%)
1
50.0%
1
50.0%

내용
Text

Distinct1816
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2023-12-11T06:15:06.788950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length718
Median length235
Mean length100.34816
Min length7

Characters and Unicode

Total characters182734
Distinct characters864
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1812 ?
Unique (%)99.5%

Sample

1st row주로 다류(茶類), 아이스크림류 등을 조리 및 판매하거나 패스트푸드점, 분식점 형태의 영업 등 음식류를 조리 및 판매하는 곳으로서 음주행위가 허용되지 않은 업체(소) 중 소비자의 편의를 위해 24시간 문을 여는 경기도 내 잡화점(편의점) 현황입니다. ※경기도 31개 시군의 인ㆍ허가 데이터입니다.
2nd row경기도_도로대장 전산화 시스템_가로등 정보로 도로에 설치된 가로등 위치, 등주형식, 광원등에 대한정보입니다.
3rd row경기도_도로대장 전산화 시스템_가로수로 가로수 설치위치, 수량, 가로수 종류 등에 대한 정보입니다.
4th row경기도_도로대장 전산화 시스템_과속방지턱테이블로 과속방지턱 설치 위치, 길이, 종류, 재료 등에 대한 설명입니다.
5th row경기도_도로대장 전산화 시스템_낙석방지시설정보로 낙석방지시설 위치, 종류, 높이 등에 대한 정보입니다.
ValueCountFrequency (%)
경기도 1426
 
3.9%
제공합니다 1108
 
3.0%
현황입니다 985
 
2.7%
정보를 885
 
2.4%
등의 771
 
2.1%
686
 
1.9%
502
 
1.4%
478
 
1.3%
대한 391
 
1.1%
데이터입니다 382
 
1.0%
Other values (11151) 28851
79.1%
2023-12-11T06:15:07.150922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35361
 
19.4%
. 4058
 
2.2%
3989
 
2.2%
, 3901
 
2.1%
3821
 
2.1%
3729
 
2.0%
2978
 
1.6%
2903
 
1.6%
2613
 
1.4%
2546
 
1.4%
Other values (854) 116835
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 128030
70.1%
Space Separator 35361
 
19.4%
Other Punctuation 10010
 
5.5%
Lowercase Letter 3178
 
1.7%
Decimal Number 2262
 
1.2%
Uppercase Letter 1396
 
0.8%
Close Punctuation 1047
 
0.6%
Open Punctuation 1017
 
0.6%
Dash Punctuation 145
 
0.1%
Connector Punctuation 121
 
0.1%
Other values (5) 167
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3989
 
3.1%
3821
 
3.0%
3729
 
2.9%
2978
 
2.3%
2903
 
2.3%
2613
 
2.0%
2546
 
2.0%
2462
 
1.9%
2445
 
1.9%
2134
 
1.7%
Other values (753) 98410
76.9%
Uppercase Letter
ValueCountFrequency (%)
I 168
 
12.0%
S 113
 
8.1%
D 108
 
7.7%
M 93
 
6.7%
A 83
 
5.9%
P 79
 
5.7%
L 78
 
5.6%
B 76
 
5.4%
O 72
 
5.2%
C 71
 
5.1%
Other values (16) 455
32.6%
Lowercase Letter
ValueCountFrequency (%)
t 310
 
9.8%
e 305
 
9.6%
o 252
 
7.9%
a 233
 
7.3%
r 208
 
6.5%
i 195
 
6.1%
g 191
 
6.0%
n 173
 
5.4%
s 173
 
5.4%
p 157
 
4.9%
Other values (15) 981
30.9%
Other Punctuation
ValueCountFrequency (%)
. 4058
40.5%
, 3901
39.0%
580
 
5.8%
/ 406
 
4.1%
* 292
 
2.9%
· 274
 
2.7%
: 232
 
2.3%
? 130
 
1.3%
" 48
 
0.5%
' 46
 
0.5%
Other values (4) 43
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 723
32.0%
3 452
20.0%
2 328
14.5%
0 292
12.9%
5 109
 
4.8%
6 91
 
4.0%
4 72
 
3.2%
9 72
 
3.2%
7 65
 
2.9%
8 58
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 990
94.6%
30
 
2.9%
19
 
1.8%
] 7
 
0.7%
} 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 961
94.5%
31
 
3.0%
17
 
1.7%
[ 7
 
0.7%
{ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
= 50
52.1%
~ 27
28.1%
+ 12
 
12.5%
> 4
 
4.2%
3
 
3.1%
Other Symbol
ValueCountFrequency (%)
23
71.9%
5
 
15.6%
4
 
12.5%
Final Punctuation
ValueCountFrequency (%)
18
94.7%
1
 
5.3%
Initial Punctuation
ValueCountFrequency (%)
18
94.7%
1
 
5.3%
Space Separator
ValueCountFrequency (%)
35361
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 121
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127996
70.0%
Common 50130
 
27.4%
Latin 4574
 
2.5%
Han 34
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3989
 
3.1%
3821
 
3.0%
3729
 
2.9%
2978
 
2.3%
2903
 
2.3%
2613
 
2.0%
2546
 
2.0%
2462
 
1.9%
2445
 
1.9%
2134
 
1.7%
Other values (727) 98376
76.9%
Latin
ValueCountFrequency (%)
t 310
 
6.8%
e 305
 
6.7%
o 252
 
5.5%
a 233
 
5.1%
r 208
 
4.5%
i 195
 
4.3%
g 191
 
4.2%
n 173
 
3.8%
s 173
 
3.8%
I 168
 
3.7%
Other values (41) 2366
51.7%
Common
ValueCountFrequency (%)
35361
70.5%
. 4058
 
8.1%
, 3901
 
7.8%
) 990
 
2.0%
( 961
 
1.9%
1 723
 
1.4%
580
 
1.2%
3 452
 
0.9%
/ 406
 
0.8%
2 328
 
0.7%
Other values (40) 2370
 
4.7%
Han
ValueCountFrequency (%)
5
 
14.7%
5
 
14.7%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
1
 
2.9%
Other values (16) 16
47.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127637
69.8%
ASCII 53680
29.4%
Punctuation 618
 
0.3%
None 371
 
0.2%
Compat Jamo 359
 
0.2%
CJK 33
 
< 0.1%
Geometric Shapes 28
 
< 0.1%
CJK Compat 4
 
< 0.1%
Arrows 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35361
65.9%
. 4058
 
7.6%
, 3901
 
7.3%
) 990
 
1.8%
( 961
 
1.8%
1 723
 
1.3%
3 452
 
0.8%
/ 406
 
0.8%
2 328
 
0.6%
t 310
 
0.6%
Other values (77) 6190
 
11.5%
Hangul
ValueCountFrequency (%)
3989
 
3.1%
3821
 
3.0%
3729
 
2.9%
2978
 
2.3%
2903
 
2.3%
2613
 
2.0%
2546
 
2.0%
2462
 
1.9%
2445
 
1.9%
2134
 
1.7%
Other values (726) 98017
76.8%
Punctuation
ValueCountFrequency (%)
580
93.9%
18
 
2.9%
18
 
2.9%
1
 
0.2%
1
 
0.2%
Compat Jamo
ValueCountFrequency (%)
359
100.0%
None
ValueCountFrequency (%)
· 274
73.9%
31
 
8.4%
30
 
8.1%
19
 
5.1%
17
 
4.6%
Geometric Shapes
ValueCountFrequency (%)
23
82.1%
5
 
17.9%
CJK
ValueCountFrequency (%)
5
 
15.2%
5
 
15.2%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
1
 
3.0%
Other values (15) 15
45.5%
CJK Compat
ValueCountFrequency (%)
4
100.0%
Arrows
ValueCountFrequency (%)
3
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

항목설명
Text

MISSING 

Distinct279
Distinct (%)67.4%
Missing1407
Missing (%)77.3%
Memory size14.4 KiB
2023-12-11T06:15:07.460674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length299
Mean length145.94686
Min length15

Characters and Unicode

Total characters60422
Distinct characters658
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique253 ?
Unique (%)61.1%

Sample

1st row데이터 설명서: FILE탭 데이터 다운로드: LINK탭 Internet Explorer : 즉시 다운로드 가능. Google Chrome, Mozilla Firefox, Microsoft Edge : 정책상 다운로드 시 추가 환경설정이 필요합니다. 환경설정 방법 링크 : https://experienceleague.adobe.com/docs/target/using/experiences/vec/troubleshoot-composer/mixed-content.html?lang=ko
2nd row데이터 설명서: FILE탭 데이터 다운로드: LINK탭 Internet Explorer : 즉시 다운로드 가능. Google Chrome, Mozilla Firefox, Microsoft Edge : 정책상 다운로드 시 추가 환경설정이 필요합니다. 환경설정 방법 링크 : https://experienceleague.adobe.com/docs/target/using/experiences/vec/troubleshoot-composer/mixed-content.html?lang=ko
3rd row지방행정데이터개방시스템(http://www.localdata.kr) 전면 개편(데이터 통합 및 데이터 개방 중단)에 따라 데이터 갱신이 2018년 9월 6일자로 중지되었습니다.
4th row측정값이 -99로시작되는 데이터는 오류값입니다. 시간: 24시간 단위로 표기 (0-23) 풍향 : 360도 방위각을 사용(북풍은 360도 방향 동풍 90도 방향 남풍은 180도 방향, 서풍 270도 방향) 데이터 : 현재시점 기준으로 2개월전 까지의 데이터는 SHEET서비스에서 제공됩니다.(2003년~한달전까지 데이터는 FILE 탭에서 다운로드) 데이터한계 : 원천시스템의 데이터 생성 오류로 인하여 7/23 (19시,22시,23시) , 7/24 (02시,04-07시) 데이터는 개방되지 않습니다. 출처 : https://data.kma.go.kr/data/grnd/selectAwsRltmList.do?pgmNo=56
5th row제품 구분 코드(prodcd) : B034:고급휘발유, B027:보통휘발유, D047:자동차경유, C004:실내등유, K015:자동차부탄
ValueCountFrequency (%)
956
 
7.8%
데이터 218
 
1.8%
182
 
1.5%
따라 127
 
1.0%
갱신이 93
 
0.8%
9월 89
 
0.7%
통합 89
 
0.7%
개방 89
 
0.7%
6일자로 89
 
0.7%
지방행정데이터개방시스템(http://www.localdata.kr 88
 
0.7%
Other values (3710) 10288
83.6%
2023-12-11T06:15:07.938649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12434
 
20.6%
: 1045
 
1.7%
1004
 
1.7%
, 834
 
1.4%
. 797
 
1.3%
0 695
 
1.2%
613
 
1.0%
597
 
1.0%
594
 
1.0%
) 589
 
1.0%
Other values (648) 41220
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35672
59.0%
Space Separator 12434
 
20.6%
Lowercase Letter 3525
 
5.8%
Other Punctuation 3387
 
5.6%
Decimal Number 3034
 
5.0%
Close Punctuation 622
 
1.0%
Open Punctuation 587
 
1.0%
Uppercase Letter 585
 
1.0%
Math Symbol 200
 
0.3%
Control 162
 
0.3%
Other values (6) 214
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1004
 
2.8%
613
 
1.7%
597
 
1.7%
594
 
1.7%
581
 
1.6%
564
 
1.6%
537
 
1.5%
536
 
1.5%
508
 
1.4%
503
 
1.4%
Other values (529) 29635
83.1%
Lowercase Letter
ValueCountFrequency (%)
t 435
12.3%
a 353
 
10.0%
o 299
 
8.5%
l 289
 
8.2%
w 278
 
7.9%
e 255
 
7.2%
r 217
 
6.2%
c 176
 
5.0%
p 159
 
4.5%
d 149
 
4.2%
Other values (15) 915
26.0%
Uppercase Letter
ValueCountFrequency (%)
I 87
14.9%
E 77
13.2%
L 59
 
10.1%
D 40
 
6.8%
F 39
 
6.7%
S 33
 
5.6%
T 27
 
4.6%
M 25
 
4.3%
C 25
 
4.3%
A 21
 
3.6%
Other values (14) 152
26.0%
Other Punctuation
ValueCountFrequency (%)
: 1045
30.9%
, 834
24.6%
. 797
23.5%
/ 346
 
10.2%
* 159
 
4.7%
' 66
 
1.9%
53
 
1.6%
· 22
 
0.6%
? 21
 
0.6%
% 10
 
0.3%
Other values (5) 34
 
1.0%
Other Symbol
ValueCountFrequency (%)
15
57.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Decimal Number
ValueCountFrequency (%)
0 695
22.9%
1 552
18.2%
2 403
13.3%
9 245
 
8.1%
3 238
 
7.8%
5 220
 
7.3%
8 217
 
7.2%
6 208
 
6.9%
4 153
 
5.0%
7 103
 
3.4%
Math Symbol
ValueCountFrequency (%)
~ 104
52.0%
= 42
21.0%
+ 33
 
16.5%
8
 
4.0%
> 4
 
2.0%
| 2
 
1.0%
÷ 2
 
1.0%
× 2
 
1.0%
< 2
 
1.0%
1
 
0.5%
Other Number
ValueCountFrequency (%)
5
23.8%
4
19.0%
3
14.3%
2
 
9.5%
2
 
9.5%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
² 1
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 589
94.7%
22
 
3.5%
] 10
 
1.6%
1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 554
94.4%
22
 
3.7%
[ 10
 
1.7%
1
 
0.2%
Space Separator
ValueCountFrequency (%)
12434
100.0%
Control
ValueCountFrequency (%)
162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 157
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35589
58.9%
Common 20640
34.2%
Latin 4110
 
6.8%
Han 83
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1004
 
2.8%
613
 
1.7%
597
 
1.7%
594
 
1.7%
581
 
1.6%
564
 
1.6%
537
 
1.5%
536
 
1.5%
508
 
1.4%
503
 
1.4%
Other values (501) 29552
83.0%
Common
ValueCountFrequency (%)
12434
60.2%
: 1045
 
5.1%
, 834
 
4.0%
. 797
 
3.9%
0 695
 
3.4%
) 589
 
2.9%
( 554
 
2.7%
1 552
 
2.7%
2 403
 
2.0%
/ 346
 
1.7%
Other values (60) 2391
 
11.6%
Latin
ValueCountFrequency (%)
t 435
 
10.6%
a 353
 
8.6%
o 299
 
7.3%
l 289
 
7.0%
w 278
 
6.8%
e 255
 
6.2%
r 217
 
5.3%
c 176
 
4.3%
p 159
 
3.9%
d 149
 
3.6%
Other values (39) 1500
36.5%
Han
ValueCountFrequency (%)
18
21.7%
18
21.7%
18
21.7%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
1
 
1.2%
1
 
1.2%
1
 
1.2%
Other values (18) 18
21.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35578
58.9%
ASCII 24560
40.6%
None 88
 
0.1%
CJK 83
 
0.1%
Punctuation 55
 
0.1%
Enclosed Alphanum 26
 
< 0.1%
CJK Compat 17
 
< 0.1%
Compat Jamo 11
 
< 0.1%
Geometric Shapes 3
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12434
50.6%
: 1045
 
4.3%
, 834
 
3.4%
. 797
 
3.2%
0 695
 
2.8%
) 589
 
2.4%
( 554
 
2.3%
1 552
 
2.2%
t 435
 
1.8%
2 403
 
1.6%
Other values (75) 6222
25.3%
Hangul
ValueCountFrequency (%)
1004
 
2.8%
613
 
1.7%
597
 
1.7%
594
 
1.7%
581
 
1.6%
564
 
1.6%
537
 
1.5%
536
 
1.5%
508
 
1.4%
503
 
1.4%
Other values (500) 29541
83.0%
Punctuation
ValueCountFrequency (%)
53
96.4%
1
 
1.8%
1
 
1.8%
None
ValueCountFrequency (%)
22
25.0%
22
25.0%
· 22
25.0%
8
 
9.1%
7
 
8.0%
÷ 2
 
2.3%
× 2
 
2.3%
1
 
1.1%
1
 
1.1%
² 1
 
1.1%
CJK
ValueCountFrequency (%)
18
21.7%
18
21.7%
18
21.7%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
1
 
1.2%
1
 
1.2%
1
 
1.2%
Other values (18) 18
21.7%
CJK Compat
ValueCountFrequency (%)
15
88.2%
1
 
5.9%
1
 
5.9%
Compat Jamo
ValueCountFrequency (%)
11
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
5
19.2%
4
15.4%
3
11.5%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (5) 5
19.2%
Geometric Shapes
ValueCountFrequency (%)
2
66.7%
1
33.3%
Arrows
ValueCountFrequency (%)
1
100.0%

SHEET
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
O
1710 
<NA>
 
111

Length

Max length4
Median length1
Mean length1.1828666
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 1710
93.9%
<NA> 111
 
6.1%

Length

2023-12-11T06:15:08.072896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:08.172232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 1710
93.9%
na 111
 
6.1%

MAP
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
<NA>
1042 
O
779 

Length

Max length4
Median length4
Mean length2.7166392
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1042
57.2%
O 779
42.8%

Length

2023-12-11T06:15:08.283909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:08.380182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1042
57.2%
o 779
42.8%

CHART
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
<NA>
1630 
O
191 

Length

Max length4
Median length4
Mean length3.6853377
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1630
89.5%
O 191
 
10.5%

Length

2023-12-11T06:15:08.480247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:08.580169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1630
89.5%
o 191
 
10.5%

API
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
O
1707 
<NA>
 
114

Length

Max length4
Median length1
Mean length1.1878089
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 1707
93.7%
<NA> 114
 
6.3%

Length

2023-12-11T06:15:08.678334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:08.779104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 1707
93.7%
na 114
 
6.3%

LINK
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
<NA>
1715 
O
 
106

Length

Max length4
Median length4
Mean length3.8253707
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1715
94.2%
O 106
 
5.8%

Length

2023-12-11T06:15:08.905625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:09.063974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1715
94.2%
o 106
 
5.8%

FILE
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
<NA>
1697 
O
 
124

Length

Max length4
Median length4
Mean length3.7957166
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1697
93.2%
O 124
 
6.8%

Length

2023-12-11T06:15:09.165791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:09.261158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1697
93.2%
o 124
 
6.8%

MUTIMEDIA
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
<NA>
1794 
O
 
27

Length

Max length4
Median length4
Mean length3.9555189
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1794
98.5%
O 27
 
1.5%

Length

2023-12-11T06:15:09.597487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:09.699889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1794
98.5%
o 27
 
1.5%

API_URL
Text

MISSING 

Distinct1707
Distinct (%)100.0%
Missing114
Missing (%)6.3%
Memory size14.4 KiB
2023-12-11T06:15:09.913129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length41.973638
Min length28

Characters and Unicode

Total characters71649
Distinct characters61
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

Unique1707 ?
Unique (%)100.0%

Sample

1st rowhttps://openapi.gg.go.kr/Resrestrtcvnstr
2nd rowhttps://openapi.gg.go.kr/TBGGROADSTREETLAMPM
3rd rowhttps://openapi.gg.go.kr/TBGGROADSTREETTREEM
4th rowhttps://openapi.gg.go.kr/TBGGROADSPEEDBUMPM
5th rowhttps://openapi.gg.go.kr/TBGGROADROCKFALLFACLTM
ValueCountFrequency (%)
https://openapi.gg.go.kr/foodsaleentrps 2
 
0.1%
https://openapi.gg.go.kr/secrtlgt 2
 
0.1%
https://openapi.gg.go.kr/tbggroadstreettreem 1
 
0.1%
https://openapi.gg.go.kr/ggresidewelfareinst 1
 
0.1%
https://openapi.gg.go.kr/ggyouthinsstm 1
 
0.1%
https://openapi.gg.go.kr/transitcenter 1
 
0.1%
https://openapi.gg.go.kr/roadmaintenancemending 1
 
0.1%
https://openapi.gg.go.kr/livestockinfectdiseaseoccur 1
 
0.1%
https://openapi.gg.go.kr/kintexeventfixatn 1
 
0.1%
https://openapi.gg.go.kr/gggoodcomst 1
 
0.1%
Other values (1695) 1695
99.3%
2023-12-11T06:15:10.295359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
p 5940
 
8.3%
g 5770
 
8.1%
t 5479
 
7.6%
/ 5121
 
7.1%
. 5121
 
7.1%
o 4582
 
6.4%
e 3596
 
5.0%
n 3486
 
4.9%
r 3336
 
4.7%
s 3321
 
4.6%
Other values (51) 25897
36.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 51404
71.7%
Other Punctuation 11949
 
16.7%
Uppercase Letter 8282
 
11.6%
Decimal Number 14
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 5940
11.6%
g 5770
11.2%
t 5479
10.7%
o 4582
8.9%
e 3596
 
7.0%
n 3486
 
6.8%
r 3336
 
6.5%
s 3321
 
6.5%
a 3041
 
5.9%
i 2921
 
5.7%
Other values (16) 9932
19.3%
Uppercase Letter
ValueCountFrequency (%)
S 875
 
10.6%
T 830
 
10.0%
G 666
 
8.0%
M 551
 
6.7%
R 496
 
6.0%
E 492
 
5.9%
C 444
 
5.4%
A 428
 
5.2%
P 416
 
5.0%
B 373
 
4.5%
Other values (16) 2711
32.7%
Decimal Number
ValueCountFrequency (%)
1 5
35.7%
0 4
28.6%
2 2
 
14.3%
8 1
 
7.1%
3 1
 
7.1%
9 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
/ 5121
42.9%
. 5121
42.9%
: 1707
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 59686
83.3%
Common 11963
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
p 5940
 
10.0%
g 5770
 
9.7%
t 5479
 
9.2%
o 4582
 
7.7%
e 3596
 
6.0%
n 3486
 
5.8%
r 3336
 
5.6%
s 3321
 
5.6%
a 3041
 
5.1%
i 2921
 
4.9%
Other values (42) 18214
30.5%
Common
ValueCountFrequency (%)
/ 5121
42.8%
. 5121
42.8%
: 1707
 
14.3%
1 5
 
< 0.1%
0 4
 
< 0.1%
2 2
 
< 0.1%
8 1
 
< 0.1%
3 1
 
< 0.1%
9 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71649
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
p 5940
 
8.3%
g 5770
 
8.1%
t 5479
 
7.6%
/ 5121
 
7.1%
. 5121
 
7.1%
o 4582
 
6.4%
e 3596
 
5.0%
n 3486
 
4.9%
r 3336
 
4.7%
s 3321
 
4.6%
Other values (51) 25897
36.1%

서비스URL
Text

UNIQUE 

Distinct1821
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
2023-12-11T06:15:10.610464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length106
Median length106
Mean length105.79901
Min length103

Characters and Unicode

Total characters192660
Distinct characters60
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

Unique1821 ?
Unique (%)100.0%

Sample

1st rowhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=CPMB3F3D1SDTN6V7LTWE13467194&infSeq=1
2nd rowhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=JTERJ8O0TWWAR1XUKWKE33836257&infSeq=1
3rd rowhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=6KGDO3G2RBYYQDTXIC1633845940&infSeq=1
4th rowhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=89YLWRPPM1IQVKAVILBZ33859869&infSeq=1
5th rowhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=W4W7723EMIXFSCO68F8X33863940&infSeq=1
ValueCountFrequency (%)
https://data.gg.go.kr/portal/data/service/selectservicepage.do?infid=cpmb3f3d1sdtn6v7ltwe13467194&infseq=1 1
 
0.1%
https://data.gg.go.kr/portal/data/service/selectservicepage.do?infid=ckmprxmb5dmqg7zxzva727731835&infseq=1 1
 
0.1%
https://data.gg.go.kr/portal/data/service/selectservicepage.do?infid=h5q3w71xowhujv0tp4co32254680&infseq=1 1
 
0.1%
https://data.gg.go.kr/portal/data/service/selectservicepage.do?infid=4wiqa8k31vfanx16i2r732262657&infseq=1 1
 
0.1%
https://data.gg.go.kr/portal/data/service/selectservicepage.do?infid=g9c333gfzyufc4hyi0ry30753381&infseq=1 1
 
0.1%
https://data.gg.go.kr/portal/data/service/selectservicepage.do?infid=6easamx9h1tp6s4tabwn32274205&infseq=1 1
 
0.1%
https://data.gg.go.kr/portal/data/service/selectservicepage.do?infid=9y7z16wprd9y83kbulmd31572281&infseq=1 1
 
0.1%
https://data.gg.go.kr/portal/data/service/selectservicepage.do?infid=e8qxh28prk5h6j1o4vbg31589086&infseq=1 1
 
0.1%
https://data.gg.go.kr/portal/data/service/selectservicepage.do?infid=m7nak9e8nllysi5pn4ju31649745&infseq=1 1
 
0.1%
https://data.gg.go.kr/portal/data/service/selectservicepage.do?infid=tolf21r19zh3yh0dt0c431723127&infseq=1 1
 
0.1%
Other values (1811) 1811
99.5%
2023-12-11T06:15:11.100176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 14568
 
7.6%
t 10926
 
5.7%
/ 10926
 
5.7%
a 10926
 
5.7%
i 7284
 
3.8%
r 7284
 
3.8%
d 7284
 
3.8%
. 7284
 
3.8%
g 7284
 
3.8%
s 5463
 
2.8%
Other values (50) 103431
53.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 105618
54.8%
Uppercase Letter 31643
 
16.4%
Decimal Number 28084
 
14.6%
Other Punctuation 23673
 
12.3%
Math Symbol 3642
 
1.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 4640
 
14.7%
I 2773
 
8.8%
P 2745
 
8.7%
U 1003
 
3.2%
Q 970
 
3.1%
T 968
 
3.1%
Z 962
 
3.0%
A 959
 
3.0%
N 957
 
3.0%
V 947
 
3.0%
Other values (16) 14719
46.5%
Lowercase Letter
ValueCountFrequency (%)
e 14568
13.8%
t 10926
10.3%
a 10926
10.3%
i 7284
 
6.9%
r 7284
 
6.9%
d 7284
 
6.9%
g 7284
 
6.9%
s 5463
 
5.2%
c 5463
 
5.2%
o 5463
 
5.2%
Other values (8) 23673
22.4%
Decimal Number
ValueCountFrequency (%)
1 4706
16.8%
2 3355
11.9%
3 3049
10.9%
4 2635
9.4%
5 2442
8.7%
8 2415
8.6%
6 2402
8.6%
9 2397
8.5%
7 2395
8.5%
0 2288
8.1%
Other Punctuation
ValueCountFrequency (%)
/ 10926
46.2%
. 7284
30.8%
& 1821
 
7.7%
? 1821
 
7.7%
: 1821
 
7.7%
Math Symbol
ValueCountFrequency (%)
= 3642
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 137261
71.2%
Common 55399
28.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 14568
 
10.6%
t 10926
 
8.0%
a 10926
 
8.0%
i 7284
 
5.3%
r 7284
 
5.3%
d 7284
 
5.3%
g 7284
 
5.3%
s 5463
 
4.0%
c 5463
 
4.0%
o 5463
 
4.0%
Other values (34) 55316
40.3%
Common
ValueCountFrequency (%)
/ 10926
19.7%
. 7284
13.1%
1 4706
 
8.5%
= 3642
 
6.6%
2 3355
 
6.1%
3 3049
 
5.5%
4 2635
 
4.8%
5 2442
 
4.4%
8 2415
 
4.4%
6 2402
 
4.3%
Other values (6) 12543
22.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 14568
 
7.6%
t 10926
 
5.7%
/ 10926
 
5.7%
a 10926
 
5.7%
i 7284
 
3.8%
r 7284
 
3.8%
d 7284
 
3.8%
. 7284
 
3.8%
g 7284
 
3.8%
s 5463
 
2.8%
Other values (50) 103431
53.7%

이용허락조건
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
상업적이용허용 및 콘텐츠변경허용
1665 
상업적이용허용 및 콘텐츠변경불가
 
81
상업적이용불가 및 콘텐츠변경불가
 
25
3유형: OPEN 출처표시, 변경금지 - 공공누리 공공저작물 자유이용허락
 
23
1유형: OPEN 출처표시 - 공공누리 공공저작물 자유이용허락
 
15
Other values (3)
 
12

Length

Max length47
Median length17
Mean length17.568918
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상업적이용허용 및 콘텐츠변경허용
2nd row상업적이용허용 및 콘텐츠변경허용
3rd row상업적이용허용 및 콘텐츠변경허용
4th row상업적이용허용 및 콘텐츠변경허용
5th row상업적이용허용 및 콘텐츠변경허용

Common Values

ValueCountFrequency (%)
상업적이용허용 및 콘텐츠변경허용 1665
91.4%
상업적이용허용 및 콘텐츠변경불가 81
 
4.4%
상업적이용불가 및 콘텐츠변경불가 25
 
1.4%
3유형: OPEN 출처표시, 변경금지 - 공공누리 공공저작물 자유이용허락 23
 
1.3%
1유형: OPEN 출처표시 - 공공누리 공공저작물 자유이용허락 15
 
0.8%
4유형: OPEN 출처표시, 상업용금지, 변경금지 - 공공누리 공공저작물 자유이용허락 6
 
0.3%
2유형: OPEN 출처표시, 상업용금지 - 공공누리 공공저작물 자유이용허락 3
 
0.2%
상업적이용불가 및 콘텐츠변경허용 3
 
0.2%

Length

2023-12-11T06:15:11.235092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:15:11.346421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1774
31.2%
상업적이용허용 1746
30.7%
콘텐츠변경허용 1668
29.3%
콘텐츠변경불가 106
 
1.9%
공공누리 47
 
0.8%
자유이용허락 47
 
0.8%
공공저작물 47
 
0.8%
open 47
 
0.8%
출처표시 47
 
0.8%
47
 
0.8%
Other values (7) 113
 
2.0%

최종수정일
Date

MISSING 

Distinct451
Distinct (%)25.7%
Missing65
Missing (%)3.6%
Memory size14.4 KiB
Minimum2015-09-17 00:00:00
Maximum2023-12-10 00:00:00
2023-12-11T06:15:11.476745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:15:11.604522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct253
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size14.4 KiB
Minimum2015-08-27 00:00:00
Maximum2023-11-24 00:00:00
2023-12-11T06:15:11.753737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:15:11.903102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Text

MISSING 

Distinct444
Distinct (%)25.9%
Missing108
Missing (%)5.9%
Memory size14.4 KiB
2023-12-11T06:15:12.220493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9953298
Min length8

Characters and Unicode

Total characters17122
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

Unique210 ?
Unique (%)12.3%

Sample

1st row2023-08-23
2nd row2023-07-28
3rd row2022-04-21
4th row2022-04-21
5th row2022-04-22
ValueCountFrequency (%)
2023-04-08 190
 
11.1%
2023-08-23 71
 
4.1%
2023-09-25 37
 
2.2%
2016-12-31 34
 
2.0%
2023-12-05 31
 
1.8%
2023-09-14 31
 
1.8%
2023-09-26 29
 
1.7%
2022-04-25 28
 
1.6%
2021-06-30 27
 
1.6%
2023-12-10 26
 
1.5%
Other values (434) 1209
70.6%
2023-12-11T06:15:12.668916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 4390
25.6%
0 3805
22.2%
- 3426
20.0%
1 1771
10.3%
3 1592
 
9.3%
8 504
 
2.9%
4 477
 
2.8%
9 361
 
2.1%
5 308
 
1.8%
6 247
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13696
80.0%
Dash Punctuation 3426
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 4390
32.1%
0 3805
27.8%
1 1771
12.9%
3 1592
 
11.6%
8 504
 
3.7%
4 477
 
3.5%
9 361
 
2.6%
5 308
 
2.2%
6 247
 
1.8%
7 241
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 3426
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17122
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 4390
25.6%
0 3805
22.2%
- 3426
20.0%
1 1771
10.3%
3 1592
 
9.3%
8 504
 
2.9%
4 477
 
2.8%
9 361
 
2.1%
5 308
 
1.8%
6 247
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 4390
25.6%
0 3805
22.2%
- 3426
20.0%
1 1771
10.3%
3 1592
 
9.3%
8 504
 
2.9%
4 477
 
2.8%
9 361
 
2.1%
5 308
 
1.8%
6 247
 
1.4%

Sample

분류체계소분류갱신주기원본시스템제공기관제공부서태그공공데이터명내용항목설명SHEETMAPCHARTAPILINKFILEMUTIMEDIAAPI_URL서비스URL이용허락조건최종수정일최초개방일데이터기준일자
0관광문화체육관광주간지방행정 데이터 개방시스템행정안전부<NA>국가중점데이터,편의점 현황,스낵,휴게소,휴게음식점,편의점,휴게 음식점,휴게음식,휴게 음식,라면,간식,커피,담배,냉동식품,아이스크림휴게음식점(편의점) 현황주로 다류(茶類), 아이스크림류 등을 조리 및 판매하거나 패스트푸드점, 분식점 형태의 영업 등 음식류를 조리 및 판매하는 곳으로서 음주행위가 허용되지 않은 업체(소) 중 소비자의 편의를 위해 24시간 문을 여는 경기도 내 잡화점(편의점) 현황입니다. ※경기도 31개 시군의 인ㆍ허가 데이터입니다.<NA>OO<NA>O<NA><NA><NA>https://openapi.gg.go.kr/Resrestrtcvnstrhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=CPMB3F3D1SDTN6V7LTWE13467194&infSeq=1상업적이용허용 및 콘텐츠변경허용<NA>2016-09-07<NA>
1교통건설환경교통주기없음경기도 도로대장전산화시스템경기도<NA>가로등,등원,도로안전경기도_도로대장 전산화 시스템_가로등경기도_도로대장 전산화 시스템_가로등 정보로 도로에 설치된 가로등 위치, 등주형식, 광원등에 대한정보입니다.<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/TBGGROADSTREETLAMPMhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=JTERJ8O0TWWAR1XUKWKE33836257&infSeq=1상업적이용허용 및 콘텐츠변경허용<NA>2023-09-18<NA>
2교통건설환경교통주기없음경기도 도로대장전산화시스템경기도<NA>가로수,수목,도로경관경기도_도로대장 전산화 시스템_가로수경기도_도로대장 전산화 시스템_가로수로 가로수 설치위치, 수량, 가로수 종류 등에 대한 정보입니다.<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/TBGGROADSTREETTREEMhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=6KGDO3G2RBYYQDTXIC1633845940&infSeq=1상업적이용허용 및 콘텐츠변경허용<NA>2023-09-18<NA>
3교통건설환경교통주기없음경기도 도로대장전산화시스템경기도<NA>과속방지,교통안전,안전운전,보행자보호,주행속도저하경기도_도로대장 전산화 시스템_과속방지턱경기도_도로대장 전산화 시스템_과속방지턱테이블로 과속방지턱 설치 위치, 길이, 종류, 재료 등에 대한 설명입니다.<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/TBGGROADSPEEDBUMPMhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=89YLWRPPM1IQVKAVILBZ33859869&infSeq=1상업적이용허용 및 콘텐츠변경허용<NA>2023-09-18<NA>
4교통건설환경교통주기없음경기도 도로대장전산화시스템경기도<NA>낙석,도로안전,교통,돌경기도_도로대장 전산화 시스템_낙석방지시설경기도_도로대장 전산화 시스템_낙석방지시설정보로 낙석방지시설 위치, 종류, 높이 등에 대한 정보입니다.<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/TBGGROADROCKFALLFACLTMhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=W4W7723EMIXFSCO68F8X33863940&infSeq=1상업적이용허용 및 콘텐츠변경허용<NA>2023-09-18<NA>
5교통건설환경교통주기없음경기도 도로대장전산화시스템경기도<NA>성토,도로,성토면,흙쌓기경기도_도로대장 전산화 시스템_도로 성토면경기도_도로대장 전산화 시스템_도로 성토면정보입니다. 도로 성토면 위치,연장,종류등에 대한정보입니다. (성토:흙을 무성하게 쌓는 것))<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/TBGGROADFILLSURFACEMhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=6NPOO5LOW1AC4R0GUXU733879511&infSeq=1상업적이용허용 및 콘텐츠변경허용<NA>2023-09-18<NA>
6교통건설환경교통주기없음경기도 도로대장전산화시스템경기도<NA>도로절개,사면,경사경기도_도로대장 전산화 시스템_도로 절개면경기도_도로대장 전산화 시스템_도로 절개면정보입니다.<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/TBGGROADCUTSURFACEMhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=J3B5HRMD0QV3X2LYYU0P33883882&infSeq=1상업적이용허용 및 콘텐츠변경허용<NA>2023-09-18<NA>
7교통건설환경교통주기없음경기도 도로대장전산화시스템경기도<NA>도로정보,교점,교각경기도_도로대장 전산화 시스템_도로중심선 교점경기도_도로대장 전산화 시스템_도로중심선 교점정보입니다.<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/TBGGROADMISSIONPOINTMhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=ZOKKPVVZZEKQME6KZN8H33894561&infSeq=1상업적이용허용 및 콘텐츠변경허용<NA>2023-09-18<NA>
8교통건설환경교통주기없음경기도 도로대장전산화시스템경기도<NA>방음,소음,도로소음,흡음경기도_도로대장 전산화 시스템_방음시설경기도_도로대장 전산화 시스템_방음시설정보로 도로 방음시설, 위치, 높이, 종류 등에 대한 설명입니다.<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/TBGGROADSONDFACLTMhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=XSF6W96PB3DM82JPWM7D33902771&infSeq=1상업적이용허용 및 콘텐츠변경허용<NA>2023-09-18<NA>
9교통건설환경교통주기없음경기도 도로대장전산화시스템경기도<NA>배수로,용수로,배수시설,배수관,배수방법경기도_도로대장 전산화 시스템_배수암거 및 배수관경기도_도로대장 전산화 시스템_배수암거 및 배수관정보입니다 ※배수암거 : 배수로가 용수로나 도로 따위를 횡단할 때, 이들 밑에 물을 대거나 빼기 위하여 땅속이나 구조물 밑으로 낸 도랑<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/TBGGROADDRNGMhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=9YW3R2FV6PD29DRQ79SG33916109&infSeq=1상업적이용허용 및 콘텐츠변경허용<NA>2023-09-18<NA>
분류체계소분류갱신주기원본시스템제공기관제공부서태그공공데이터명내용항목설명SHEETMAPCHARTAPILINKFILEMUTIMEDIAAPI_URL서비스URL이용허락조건최종수정일최초개방일데이터기준일자
1811교육취업교육수시공공데이터포털여성가족부<NA>청소년문화의집,청소년수련관,청소년육성재단,청소년 시설,청소년,청소년 기관,청소년시설 기관,청소년관련,청소년 관련시설,청소년센터,인재개발원,청소년청소년시설기관 현황여성가족부 청소년 활동진흥원에서 제공하는 청소년 활동 정보를 서비스하여 청소년들이 봉사활동이나 자기계발 활동을 좀 더 편리하게 이용 할 수 있도록 도와주는 경기도 내 청소년 시설 기관 현황입니다. 기관명, 전화번호, 홈페이지주소 등의 정보를 제공합니다.<NA>OO<NA>O<NA><NA><NA>https://openapi.gg.go.kr/Youngbgfacltinsthttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=KJHC49X3U3PWGRWFGY3K21173215&infSeq=1상업적이용허용 및 콘텐츠변경허용2016-08-252016-09-072016-07-01
1812교육취업취업수시공공데이터포털고용노동부<NA>청년취업인턴제,청년취업인턴제 운영기관,청년취업인턴제운영기관,청년취업인턴제운영기관현황,청년,청년취업,청년 취업,인턴제,청년인턴제,청년 인턴제,취업,일자리,인턴청년취업인턴제운영기관 현황경기도 내의 시군별 청년 취업 인턴제 운영기관에 대한 기관명, 전화번호, 소재지주소 등의 현황입니다.<NA>OO<NA>O<NA><NA><NA>https://openapi.gg.go.kr/Tbyoungmanemplymtinternmhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=X1BC80BO0JZ0LHG5NBWZ20893542&infSeq=1상업적이용허용 및 콘텐츠변경허용2016-08-192016-09-072016-06-21
1813교통건설환경건설수시파일시스템경기도교통정책과건설,기계등록,건설기계, 건설 기계, 기계 등록, 기계, 등록건설기계 등록 현황경기도 내의 시군별 건설기계등록에 대한 관용대수, 자가용대수, 영업용 대수 등의 현황입니다.<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/Constrmachinrgistrgionhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=BNN1MKS66VNGGXI5WEV219222244&infSeq=13유형: OPEN 출처표시, 변경금지 - 공공누리 공공저작물 자유이용허락2016-07-252023-06-14<NA>
1814조세법무행정법무주기없음파일시스템경기도법무담당관경기도 의회,경기도의회,지방의회,경기도,의회,법규,법령,지자체,지방자치단체,경기도의회 자치법규,자치법규,헌법,지방자치법,법규집,지방의회관련법규집,지방의회법규집,지방의회 법규집지방의회 관련 법규집경기도 지방의회관련 법규집(2014년 8월 개정판)입니다. - 경기도의회 관련 자치법규 - 헌법 및 지방자치관련 법령<NA><NA><NA><NA><NA><NA>O<NA><NA>https://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=71D0DCWG2XKV91TXN4864624677&infSeq=1상업적이용허용 및 콘텐츠변경불가2016-01-112015-09-08<NA>
1815교육취업교육주기없음파일시스템경기도 외 30개 기관<NA>평생, 학습, 강좌제목, 접수일, 강좌일, 정원, 수강료평생학습 강좌 현황경기도의 평생학습강좌 정보 강좌제목, 접수종료일, 강좌시작,종료일, 수강료사항 등의 내용을 제공 ※ 평생학습 강좌 현황(개방표준)의 개방으로 갱신이 중단된 데이터입니다.<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/LifetimeLearningLecturehttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=O9ZS4VSC97AU0S4L636812212698&infSeq=1상업적이용허용 및 콘텐츠변경허용2015-10-062015-09-15<NA>
1816가족복지보건복지주기없음파일시스템경기도장애인복지과장애인복지사업,복지,장애인,복지사업,복지,장애인복지,장애인 복지,장애인 정책,장애인정책,복지정책장애인 복지사업 안내경기도 내 장애인 복지사업 안내입니다. 「2015년 장애인복지사업 안내」는 장애인 업무를 담당하는 일선 공무원과 장애인복지에 관심이 있는 분들을 위해서 작성된 자료입니다. ※ 본 안내서는 장애인 정책의 기본적인 사항만을 수록한 것으로 포함되지 않았거나 세부적인 내용은 보건복지부 지침 안내서 및 관련 법령 등을 참고<NA><NA><NA><NA><NA><NA>O<NA><NA>https://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=DXBUHL3G961RVQR0R9024668699&infSeq=1상업적이용허용 및 콘텐츠변경허용2015-09-212015-09-08<NA>
1817농림축산해양농림주기없음파일시스템경기도환경농업연구과간행물,출판물,쌀,경기미,떡,조리법,떡이야기,요리책,떡조리법,경기떡,경기 떡,경기미떡,경기도대표떡,경기도 대표 떡,경기도 대표떡좋은 쌀 경기미로 만든 떡이야기경기도농업기술원이 떡 문화의 확산과, 쌀 소비촉진을 촉진하고자 경기도를 대표하는 떡 100가지를 선별해 조리법과 특징 등을 정리한 책자입니다.<NA><NA><NA><NA><NA><NA>O<NA><NA>https://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=Q52HG08115UN569747124632428&infSeq=1상업적이용허용 및 콘텐츠변경불가2015-09-212015-09-08<NA>
1818농림축산해양농림주기없음파일시스템경기도환경농업연구과스마트농업,농업기술원,신품종,농자재,농업인, 영농기술,농기계,간행물,출판물,신영농기술,농기계점검현장공감 스마트 경기농업경기도농업기술원에서 발행한 현장공감 스마트 경기농업 책자입니다. 경기도농업기술원에서 개발 보급한 신품종, 농자재 등의 소개와 함께 이를 농업현장에 사용하고 있는 농가들을 소개, 또한 농업인들 이 현장에서 실천할 필수 영농기술과 농기계 점검정비 등의 정보를 제공합니다.<NA><NA><NA><NA><NA><NA>O<NA><NA>https://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=6C01WUXDU6AMD38L2ZYB4611112&infSeq=1상업적이용허용 및 콘텐츠변경불가2015-09-212015-09-07<NA>
1819조세법무행정행정주기없음파일시스템경기도토지정보과경기도 부동산,경기도부동산,경기도 부동산 개발업,경기도 부동산개발업,부동산자료,부동산간행물,부동산 자료,부동산개발,업무편람,부동산법,부동산개발행위,부동산정보부동산 개발업 업무편람(2013)경기도 부동산 개발업 업무편람(2013)입니다. 부동산개발업 업무편람은 부동산개발업 제도의 도입배경과 업무처리기준, 질의회신, 관계규정 등을 수록하였으므로, 인허가 담당공무원을 비롯하여 부동산개발행위에 참여하는 모든 관계자에게 부동산개발행위를함에 있어 유익한 정보를 제공합니다.<NA><NA><NA><NA><NA><NA>O<NA><NA>https://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=UZG3N01B4PM0CR9KJ14I4649425&infSeq=1상업적이용허용 및 콘텐츠변경불가2015-09-202015-09-08<NA>
1820교통건설환경환경주기없음파일시스템경기도수질정책과수도수질,수도 수질,수질정보 현황,정수장,수도,수질,수도정보,수질정보,수질,자동,측정소,수질자동측정소,광동측정소,지월측정소,양벌측정소,안양측정소,마평측정소,유운측정소,복하측정소수질 자동측정소 현황경기도의 수질 자동 측정소 현황입니다. 수질을 자동으로 측정하는 측정기기가 설치된 측정소명, 소재지주소 , 하천명 등의 정보를 제공합니다. ※ 수질자동측정소 운영 중단에 따라 데이터 갱신이 중단된 데이터입니다. ※ 광동, 지월, 양벌, 유운, 마평, 복하 측정소는 운영 중단에 따라 2020년 철거된 측정소입니다.<NA>O<NA><NA>O<NA><NA><NA>https://openapi.gg.go.kr/QualityOfWaterAutomaticMeasurehttps://data.gg.go.kr/portal/data/service/selectServicePage.do?infId=136W61ANZ64ZWFU7224211693591&infSeq=1상업적이용허용 및 콘텐츠변경허용2015-09-172015-09-142015-12-31