Overview

Dataset statistics

Number of variables9
Number of observations501
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.8 KiB
Average record size in memory73.3 B

Variable types

Numeric1
Text3
Categorical4
DateTime1

Dataset

Description인천광역시 남동구 사전정보공표목록에 대한 데이터로 연번, 공표목록, 공개범위, 공표주기, 공표시기, 분야, 기능, 해당정보 바로가기, 담당부서 항목을 공개합니다.
URLhttps://www.data.go.kr/data/15103673/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 분야 and 1 other fieldsHigh correlation
공표주기 is highly overall correlated with 공표시기High correlation
공표시기 is highly overall correlated with 공표주기High correlation
분야 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
담당부서 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:45:19.784757
Analysis finished2023-12-12 04:45:21.092854
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct501
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean251
Minimum1
Maximum501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-12T13:45:21.194448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26
Q1126
median251
Q3376
95-th percentile476
Maximum501
Range500
Interquartile range (IQR)250

Descriptive statistics

Standard deviation144.77051
Coefficient of variation (CV)0.57677493
Kurtosis-1.2
Mean251
Median Absolute Deviation (MAD)125
Skewness0
Sum125751
Variance20958.5
MonotonicityStrictly increasing
2023-12-12T13:45:21.407310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
331 1
 
0.2%
344 1
 
0.2%
343 1
 
0.2%
342 1
 
0.2%
341 1
 
0.2%
340 1
 
0.2%
339 1
 
0.2%
338 1
 
0.2%
337 1
 
0.2%
Other values (491) 491
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
501 1
0.2%
500 1
0.2%
499 1
0.2%
498 1
0.2%
497 1
0.2%
496 1
0.2%
495 1
0.2%
494 1
0.2%
493 1
0.2%
492 1
0.2%

공표목록
Text

Distinct499
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T13:45:21.783818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length11.157685
Min length3

Characters and Unicode

Total characters5590
Distinct characters330
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique497 ?
Unique (%)99.2%

Sample

1st row공약추진 현황 및 평가결과
2nd row단체장 지시사항 추진현황
3rd row구정백서
4th row제안심사
5th row성과평가
ValueCountFrequency (%)
현황 187
 
13.6%
안내 53
 
3.9%
결과 50
 
3.6%
및 45
 
3.3%
지도점검 37
 
2.7%
등 12
 
0.9%
추진현황 11
 
0.8%
지원 9
 
0.7%
위반 8
 
0.6%
민방위 8
 
0.6%
Other values (759) 952
69.4%
2023-12-12T13:45:22.378857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
871
 
15.6%
현 222
 
4.0%
황 220
 
3.9%
지 143
 
2.6%
업 138
 
2.5%
사 127
 
2.3%
안 77
 
1.4%
과 77
 
1.4%
내 76
 
1.4%
공 75
 
1.3%
Other values (320) 3564
63.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4640
83.0%
Space Separator 871
 
15.6%
Other Punctuation 35
 
0.6%
Uppercase Letter 19
 
0.3%
Open Punctuation 9
 
0.2%
Close Punctuation 9
 
0.2%
Decimal Number 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
현 222
 
4.8%
황 220
 
4.7%
지 143
 
3.1%
업 138
 
3.0%
사 127
 
2.7%
안 77
 
1.7%
과 77
 
1.7%
내 76
 
1.6%
공 75
 
1.6%
결 73
 
1.6%
Other values (307) 3412
73.5%
Uppercase Letter
ValueCountFrequency (%)
C 8
42.1%
V 4
21.1%
T 4
21.1%
S 2
 
10.5%
O 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 27
77.1%
. 7
 
20.0%
· 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
1 4
57.1%
0 3
42.9%
Space Separator
ValueCountFrequency (%)
871
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4640
83.0%
Common 931
 
16.7%
Latin 19
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
현 222
 
4.8%
황 220
 
4.7%
지 143
 
3.1%
업 138
 
3.0%
사 127
 
2.7%
안 77
 
1.7%
과 77
 
1.7%
내 76
 
1.6%
공 75
 
1.6%
결 73
 
1.6%
Other values (307) 3412
73.5%
Common
ValueCountFrequency (%)
871
93.6%
, 27
 
2.9%
( 9
 
1.0%
) 9
 
1.0%
. 7
 
0.8%
1 4
 
0.4%
0 3
 
0.3%
· 1
 
0.1%
Latin
ValueCountFrequency (%)
C 8
42.1%
V 4
21.1%
T 4
21.1%
S 2
 
10.5%
O 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4640
83.0%
ASCII 949
 
17.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
871
91.8%
, 27
 
2.8%
( 9
 
0.9%
) 9
 
0.9%
C 8
 
0.8%
. 7
 
0.7%
V 4
 
0.4%
1 4
 
0.4%
T 4
 
0.4%
0 3
 
0.3%
Other values (2) 3
 
0.3%
Hangul
ValueCountFrequency (%)
현 222
 
4.8%
황 220
 
4.7%
지 143
 
3.1%
업 138
 
3.0%
사 127
 
2.7%
안 77
 
1.7%
과 77
 
1.7%
내 76
 
1.6%
공 75
 
1.6%
결 73
 
1.6%
Other values (307) 3412
73.5%
None
ValueCountFrequency (%)
· 1
100.0%

공개범위
Text

Distinct445
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-12T13:45:22.818947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length269
Median length79
Mean length36.994012
Min length3

Characters and Unicode

Total characters18534
Distinct characters419
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique416 ?
Unique (%)83.0%

Sample

1st row공약명, 추진부서, 사업개요, 추진실적, 평가결과, 추진계획
2nd row지시시항 내용, 추진현황 및 계획
3rd row일반현황, 부서별 추진성과, 향후 계획
4th row제안명, 제안개요, 창안등급, 시상금
5th row부서별 지표명, 전략목표, 성과목표, 지표정의, 평가결과
ValueCountFrequency (%)
등 180
 
5.1%
소재지 161
 
4.5%
및 107
 
3.0%
전화번호 102
 
2.9%
내역 40
 
1.1%
점검기간(일시 37
 
1.0%
신청방법 32
 
0.9%
위반사항 30
 
0.8%
조치사항(행정처분 29
 
0.8%
현황 27
 
0.8%
Other values (1771) 2819
79.1%
2023-12-12T13:45:23.485476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3063
 
16.5%
, 2037
 
11.0%
지 386
 
2.1%
사 346
 
1.9%
소 327
 
1.8%
( 312
 
1.7%
) 305
 
1.6%
업 296
 
1.6%
기 245
 
1.3%
명 244
 
1.3%
Other values (409) 10973
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12651
68.3%
Space Separator 3063
 
16.5%
Other Punctuation 2095
 
11.3%
Open Punctuation 313
 
1.7%
Close Punctuation 306
 
1.7%
Decimal Number 70
 
0.4%
Dash Punctuation 35
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 386
 
3.1%
사 346
 
2.7%
소 327
 
2.6%
업 296
 
2.3%
기 245
 
1.9%
명 244
 
1.9%
시 235
 
1.9%
등 229
 
1.8%
재 196
 
1.5%
수 190
 
1.5%
Other values (386) 9957
78.7%
Decimal Number
ValueCountFrequency (%)
1 22
31.4%
2 17
24.3%
0 12
17.1%
3 9
12.9%
5 3
 
4.3%
4 3
 
4.3%
6 2
 
2.9%
8 1
 
1.4%
7 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 2037
97.2%
/ 28
 
1.3%
. 20
 
1.0%
? 4
 
0.2%
: 3
 
0.1%
! 2
 
0.1%
· 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 312
99.7%
[ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 305
99.7%
] 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3063
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12651
68.3%
Common 5882
31.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 386
 
3.1%
사 346
 
2.7%
소 327
 
2.6%
업 296
 
2.3%
기 245
 
1.9%
명 244
 
1.9%
시 235
 
1.9%
등 229
 
1.8%
재 196
 
1.5%
수 190
 
1.5%
Other values (386) 9957
78.7%
Common
ValueCountFrequency (%)
3063
52.1%
, 2037
34.6%
( 312
 
5.3%
) 305
 
5.2%
- 35
 
0.6%
/ 28
 
0.5%
1 22
 
0.4%
. 20
 
0.3%
2 17
 
0.3%
0 12
 
0.2%
Other values (12) 31
 
0.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12651
68.3%
ASCII 5882
31.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3063
52.1%
, 2037
34.6%
( 312
 
5.3%
) 305
 
5.2%
- 35
 
0.6%
/ 28
 
0.5%
1 22
 
0.4%
. 20
 
0.3%
2 17
 
0.3%
0 12
 
0.2%
Other values (12) 31
 
0.5%
Hangul
ValueCountFrequency (%)
지 386
 
3.1%
사 346
 
2.7%
소 327
 
2.6%
업 296
 
2.3%
기 245
 
1.9%
명 244
 
1.9%
시 235
 
1.9%
등 229
 
1.8%
재 196
 
1.5%
수 190
 
1.5%
Other values (386) 9957
78.7%
None
ValueCountFrequency (%)
· 1
100.0%

공표주기
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
매년
218 
수시
199 
분기
74 
반기
 
6
매월
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수시
2nd row수시
3rd row수시
4th row수시
5th row매년

Common Values

ValueCountFrequency (%)
매년 218
43.5%
수시 199
39.7%
분기 74
 
14.8%
반기 6
 
1.2%
매월 2
 
0.4%
매일 2
 
0.4%

Length

2023-12-12T13:45:23.658889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:45:23.790584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매년 218
43.5%
수시 199
39.7%
분기 74
 
14.8%
반기 6
 
1.2%
매월 2
 
0.4%
매일 2
 
0.4%

공표시기
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
수시
341 
매년
91 
분기
63 
반기
 
5
부기
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row수시
2nd row수시
3rd row수시
4th row수시
5th row매년

Common Values

ValueCountFrequency (%)
수시 341
68.1%
매년 91
 
18.2%
분기 63
 
12.6%
반기 5
 
1.0%
부기 1
 
0.2%

Length

2023-12-12T13:45:23.916881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:45:24.037992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수시 341
68.1%
매년 91
 
18.2%
분기 63
 
12.6%
반기 5
 
1.0%
부기 1
 
0.2%

분야
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
일반공공행정
111 
보건
92 
사회복지
66 
지역개발
63 
환경보호
45 
Other values (7)
124 

Length

Max length7
Median length6
Mean length4.5209581
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반공공행정 111
22.2%
보건 92
18.4%
사회복지 66
13.2%
지역개발 63
12.6%
환경보호 45
9.0%
산업중소기업 31
 
6.2%
공공질서및안전 24
 
4.8%
문화체육관광 23
 
4.6%
수송및교통 21
 
4.2%
농림해양수산 15
 
3.0%
Other values (2) 10
 
2.0%

Length

2023-12-12T13:45:24.192348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반공공행정 111
22.2%
보건 92
18.4%
사회복지 66
13.2%
지역개발 63
12.6%
환경보호 45
9.0%
산업중소기업 31
 
6.2%
공공질서및안전 24
 
4.8%
문화체육관광 23
 
4.6%
수송및교통 21
 
4.2%
농림해양수산 15
 
3.0%
Other values (2) 10
 
2.0%

해당정보 바로가기
Text

Distinct474
Distinct (%)95.2%
Missing3
Missing (%)0.6%
Memory size4.0 KiB
2023-12-12T13:45:24.480547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length163
Median length130
Mean length68.204819
Min length22

Characters and Unicode

Total characters33966
Distinct characters62
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

Unique456 ?
Unique (%)91.6%

Sample

1st rowhttp://www.namdong.go.kr/headman/sub/vision.jsp
2nd rowhttps://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=&keyfield=title&keyword=%EB%8B%A8%EC%B2%B4%EC%9E%A5+%EC%A7%80%EC%8B%9C%EC%82%AC%ED%95%AD
3rd rowhttp://www.namdong.go.kr/main/introduction/present/book/recent.jsp
4th rowhttp://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=38
5th rowhttp://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=39
ValueCountFrequency (%)
http://www.namdong.go.kr/clinic/business/health/nonsmoking.jsp 3
 
0.6%
http://www.namdong.go.kr/clinic/business/health/promotion.jsp 3
 
0.6%
http://www.kiscon.net 3
 
0.6%
http://www.namdong.go.kr/main/area/industry/enterprise_export.jsp 3
 
0.6%
http://www.namdong.go.kr/main/guidance/individual3.jsp 3
 
0.6%
http://www.namdong.go.kr/main/administration/integrity/closed.jsp 3
 
0.6%
http://www.namdong.go.kr/clinic/treat/checkup.jsp 2
 
0.4%
http://www.namdong.go.kr/main/administration/budget/finance/local_bond.jsp 2
 
0.4%
http://www.namdong.go.kr/welfare/facility/child.jsp 2
 
0.4%
http://www.namdong.go.kr/main/bbs/bbsmsglist.do?bcd=officially_data&cate1=69 2
 
0.4%
Other values (464) 472
94.8%
2023-12-12T13:45:24.960959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2640
 
7.8%
a 2419
 
7.1%
t 2215
 
6.5%
. 1976
 
5.8%
o 1850
 
5.4%
n 1842
 
5.4%
i 1786
 
5.3%
s 1634
 
4.8%
w 1513
 
4.5%
d 1506
 
4.4%
Other values (52) 14585
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 25585
75.3%
Other Punctuation 5723
 
16.8%
Decimal Number 1137
 
3.3%
Uppercase Letter 615
 
1.8%
Math Symbol 583
 
1.7%
Connector Punctuation 323
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 2419
 
9.5%
t 2215
 
8.7%
o 1850
 
7.2%
n 1842
 
7.2%
i 1786
 
7.0%
s 1634
 
6.4%
w 1513
 
5.9%
d 1506
 
5.9%
b 1430
 
5.6%
g 1324
 
5.2%
Other values (16) 8066
31.5%
Uppercase Letter
ValueCountFrequency (%)
L 275
44.7%
M 272
44.2%
C 12
 
2.0%
E 10
 
1.6%
I 7
 
1.1%
N 6
 
1.0%
B 6
 
1.0%
D 5
 
0.8%
T 5
 
0.8%
A 5
 
0.8%
Other values (6) 12
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 445
39.1%
2 172
 
15.1%
3 81
 
7.1%
0 80
 
7.0%
8 65
 
5.7%
9 61
 
5.4%
5 61
 
5.4%
4 59
 
5.2%
6 58
 
5.1%
7 55
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 2640
46.1%
. 1976
34.5%
: 501
 
8.8%
& 304
 
5.3%
? 279
 
4.9%
% 21
 
0.4%
# 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 582
99.8%
+ 1
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 323
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 26200
77.1%
Common 7766
 
22.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 2419
 
9.2%
t 2215
 
8.5%
o 1850
 
7.1%
n 1842
 
7.0%
i 1786
 
6.8%
s 1634
 
6.2%
w 1513
 
5.8%
d 1506
 
5.7%
b 1430
 
5.5%
g 1324
 
5.1%
Other values (32) 8681
33.1%
Common
ValueCountFrequency (%)
/ 2640
34.0%
. 1976
25.4%
= 582
 
7.5%
: 501
 
6.5%
1 445
 
5.7%
_ 323
 
4.2%
& 304
 
3.9%
? 279
 
3.6%
2 172
 
2.2%
3 81
 
1.0%
Other values (10) 463
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33966
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 2640
 
7.8%
a 2419
 
7.1%
t 2215
 
6.5%
. 1976
 
5.8%
o 1850
 
5.4%
n 1842
 
5.4%
i 1786
 
5.3%
s 1634
 
4.8%
w 1513
 
4.5%
d 1506
 
4.4%
Other values (52) 14585
42.9%

담당부서
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
기획예산과
41 
보건행정과
37 
환경보전과
 
30
건강증진과
 
30
안전총괄과
 
24
Other values (39)
339 

Length

Max length10
Median length5
Mean length4.9001996
Min length3

Unique

Unique4 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
기획예산과 41
 
8.2%
보건행정과 37
 
7.4%
환경보전과 30
 
6.0%
건강증진과 30
 
6.0%
안전총괄과 24
 
4.8%
공원녹지과 21
 
4.2%
노인장애인과 20
 
4.0%
식품위생과 19
 
3.8%
문화관광과 17
 
3.4%
총무과 16
 
3.2%
Other values (34) 246
49.1%

Length

2023-12-12T13:45:25.450677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기획예산과 41
 
8.2%
보건행정과 37
 
7.4%
환경보전과 30
 
6.0%
건강증진과 30
 
6.0%
안전총괄과 24
 
4.8%
공원녹지과 21
 
4.2%
노인장애인과 20
 
4.0%
식품위생과 19
 
3.8%
문화관광과 17
 
3.4%
총무과 16
 
3.2%
Other values (34) 246
49.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2023-06-13 00:00:00
Maximum2023-06-13 00:00:00
2023-12-12T13:45:25.611673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:45:25.827010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:45:20.685215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:45:25.925369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번공표주기공표시기분야담당부서
연번1.0000.2900.3250.9180.961
공표주기0.2901.0000.7730.3720.476
공표시기0.3250.7731.0000.2860.450
분야0.9180.3720.2861.0000.992
담당부서0.9610.4760.4500.9921.000
2023-12-12T13:45:26.071096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공표시기공표주기분야담당부서
공표시기1.0000.6520.1610.216
공표주기0.6521.0000.1530.217
분야0.1610.1531.0000.881
담당부서0.2160.2170.8811.000
2023-12-12T13:45:26.207781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번공표주기공표시기분야담당부서
연번1.0000.1570.1420.7180.738
공표주기0.1571.0000.6520.1530.217
공표시기0.1420.6521.0000.1610.216
분야0.7180.1530.1611.0000.881
담당부서0.7380.2170.2160.8811.000

Missing values

2023-12-12T13:45:20.834115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:45:21.027154image/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

연번공표목록공개범위공표주기공표시기분야해당정보 바로가기담당부서데이터기준일
01공약추진 현황 및 평가결과공약명, 추진부서, 사업개요, 추진실적, 평가결과, 추진계획수시수시일반공공행정http://www.namdong.go.kr/headman/sub/vision.jsp기획예산과2023-06-13
12단체장 지시사항 추진현황지시시항 내용, 추진현황 및 계획수시수시일반공공행정https://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=&keyfield=title&keyword=%EB%8B%A8%EC%B2%B4%EC%9E%A5+%EC%A7%80%EC%8B%9C%EC%82%AC%ED%95%AD기획예산과2023-06-13
23구정백서일반현황, 부서별 추진성과, 향후 계획수시수시일반공공행정http://www.namdong.go.kr/main/introduction/present/book/recent.jsp기획예산과2023-06-13
34제안심사제안명, 제안개요, 창안등급, 시상금수시수시일반공공행정http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=38기획예산과2023-06-13
45성과평가부서별 지표명, 전략목표, 성과목표, 지표정의, 평가결과매년매년일반공공행정http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=39기획예산과2023-06-13
56정책실명제 대상사업사업명, 부서명, 담당자, 사업개요, 추진개요, 추진실적수시수시일반공공행정http://www.namdong.go.kr/main/administration/realname/business2020.jsp기획예산과2023-06-13
67각종 위원회 구성 및 운영위원회명(정책실명제위원회, 정보화위원회, 도시공원위원회, 설계자문위원회, 도시계획위원회, 부동산평가위원회 등매년매년일반공공행정http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=40기획예산과2023-06-13
78조직 안내본청, 직속기관, 사업소, 읍면동별 부서현황수시수시일반공공행정http://www.namdong.go.kr/main/introduction/guide/organ.jsp기획예산과2023-06-13
89행정조직, 공기업 등 정.현원수직급, 직렬별 정.현원수수시수시일반공공행정http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=41기획예산과2023-06-13
910중기인력운용 계획수립개요, 중점 분야, 기간별.직급별 인력배치, 신규인력 증. 감축, 일반회계 인건비 비율, 상근인력 운용 등매년매년일반공공행정http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=42기획예산과2023-06-13
연번공표목록공개범위공표주기공표시기분야해당정보 바로가기담당부서데이터기준일
491492어린이놀이터 모래소독 현황놀이터명, 소재지, 소독일시, 소독면적분기수시지역개발http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=312공원녹지과2023-06-13
492493어린이놀이터 안전검사 결과놀이터명, 소재지, 검사일시, 검사기관, 검사결과수시분기지역개발http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=313공원녹지과2023-06-13
493494공원 전기시설 안전검사 결과공원명, 소재지, 검사일시, 검사기관, 검사결과수시수시지역개발http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=314공원녹지과2023-06-13
494495물체험시설 수질검사 결과물체험시설명, 소재지, 검사일시, 검사기관, 검사결과분기분기지역개발http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=315공원녹지과2023-06-13
495496골재업 현황업체명, 소재지, 전화번호수시수시지역개발http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=316도로과2023-06-13
496497하천유지관리유형(소하천, 지방하천), 하천명, 공사명, 소재지, 면적, 사업내역, 공시기간 등수시수시지역개발http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=317치수과2023-06-13
497498장애인 단체장애인 단체매년수시사회복지http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=318노인장애인과2023-06-13
498499공장등록업체 현황업종, 업체명, 소재지, 생산품, 전화번호수시수시산업중소기업http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=328기업지원과2023-06-13
499500낚시터 현황구분(등록,허가),낚시터 상호명, 규모, 일자매년매년농림해양수산<NA>농축수산과2023-06-13
500501국민운동단체 보조금 지급현황지급액 및 지급단체 등매년수시일반공공행정http://www.namdong.go.kr/main/bbs/bbsMsgList.do?bcd=officially_data&cate1=69총무과2023-06-13