Overview

Dataset statistics

Number of variables9
Number of observations2163
Missing cells1122
Missing cells (%)5.8%
Duplicate rows7
Duplicate rows (%)0.3%
Total size in memory152.2 KiB
Average record size in memory72.1 B

Variable types

Categorical5
Text4

Dataset

Description강원특별자치도 춘천시 맞춤형복지서비스 현황 자료로, 서비스분류, 서비스명, 제공기관, 연락처, 홈페이지 주소 등을 포함하고 있음
URLhttps://www.data.go.kr/data/15076583/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 7 (0.3%) duplicate rowsDuplicates
서비스문의전화번호 has 79 (3.7%) missing valuesMissing
홈페이지 has 1042 (48.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:27:44.514949
Analysis finished2023-12-12 10:27:45.652112
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.0 KiB
강원특별자치도
2163 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 2163
100.0%

Length

2023-12-12T19:27:45.727875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:45.834437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 2163
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.0 KiB
춘천시
2163 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
춘천시 2163
100.0%

Length

2023-12-12T19:27:45.933322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:46.024225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
춘천시 2163
100.0%

복지서비스분야
Categorical

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size17.0 KiB
문화·여가
553 
보육·교육
518 
보호·요양
230 
일거리
168 
신체건강·의료
166 
Other values (5)
528 

Length

Max length7
Median length5
Mean length4.9565418
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화·여가 553
25.6%
보육·교육 518
23.9%
보호·요양 230
10.6%
일거리 168
 
7.8%
신체건강·의료 166
 
7.7%
일상생활 142
 
6.6%
정신건강·심리 138
 
6.4%
안전·권익 108
 
5.0%
기타복지 98
 
4.5%
주거 42
 
1.9%

Length

2023-12-12T19:27:46.135345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:46.269524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화·여가 553
25.6%
보육·교육 518
23.9%
보호·요양 230
10.6%
일거리 168
 
7.8%
신체건강·의료 166
 
7.7%
일상생활 142
 
6.6%
정신건강·심리 138
 
6.4%
안전·권익 108
 
5.0%
기타복지 98
 
4.5%
주거 42
 
1.9%

맞춤형복지서비스명
Text

Distinct1248
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size17.0 KiB
2023-12-12T19:27:46.612302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length10.876098
Min length2

Characters and Unicode

Total characters23525
Distinct characters514
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1129 ?
Unique (%)52.2%

Sample

1st row노인민간기업 취업 알선
2nd row실업급여
3rd row외국인채용지원
4th row직업능력개발
5th row집단직업상담
ValueCountFrequency (%)
제공 365
 
6.1%
어르신 364
 
6.0%
문화 356
 
5.9%
여가 348
 
5.8%
공간 347
 
5.8%
및 339
 
5.6%
교육 324
 
5.4%
영유아 249
 
4.1%
보육 249
 
4.1%
지원 168
 
2.8%
Other values (1584) 2921
48.4%
2023-12-12T19:27:47.150693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3868
 
16.4%
공 813
 
3.5%
육 719
 
3.1%
지 534
 
2.3%
가 508
 
2.2%
교 507
 
2.2%
원 494
 
2.1%
문 485
 
2.1%
신 444
 
1.9%
제 432
 
1.8%
Other values (504) 14721
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19245
81.8%
Space Separator 3868
 
16.4%
Other Punctuation 80
 
0.3%
Math Symbol 67
 
0.3%
Close Punctuation 66
 
0.3%
Open Punctuation 66
 
0.3%
Uppercase Letter 55
 
0.2%
Decimal Number 51
 
0.2%
Lowercase Letter 22
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 813
 
4.2%
육 719
 
3.7%
지 534
 
2.8%
가 508
 
2.6%
교 507
 
2.6%
원 494
 
2.6%
문 485
 
2.5%
신 444
 
2.3%
제 432
 
2.2%
화 429
 
2.2%
Other values (449) 13880
72.1%
Uppercase Letter
ValueCountFrequency (%)
T 8
14.5%
P 6
10.9%
E 6
10.9%
M 5
9.1%
H 5
9.1%
I 4
 
7.3%
C 4
 
7.3%
G 3
 
5.5%
D 2
 
3.6%
L 2
 
3.6%
Other values (9) 10
18.2%
Lowercase Letter
ValueCountFrequency (%)
e 7
31.8%
h 5
22.7%
l 2
 
9.1%
f 1
 
4.5%
o 1
 
4.5%
a 1
 
4.5%
m 1
 
4.5%
r 1
 
4.5%
p 1
 
4.5%
v 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 14
27.5%
2 12
23.5%
3 8
15.7%
0 5
 
9.8%
5 4
 
7.8%
6 4
 
7.8%
8 2
 
3.9%
9 1
 
2.0%
4 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/ 36
45.0%
· 27
33.8%
: 10
 
12.5%
. 5
 
6.2%
& 1
 
1.2%
! 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 63
95.5%
] 3
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 63
95.5%
[ 3
 
4.5%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
3868
100.0%
Math Symbol
ValueCountFrequency (%)
+ 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19244
81.8%
Common 4201
 
17.9%
Latin 79
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 813
 
4.2%
육 719
 
3.7%
지 534
 
2.8%
가 508
 
2.6%
교 507
 
2.6%
원 494
 
2.6%
문 485
 
2.5%
신 444
 
2.3%
제 432
 
2.2%
화 429
 
2.2%
Other values (448) 13879
72.1%
Latin
ValueCountFrequency (%)
T 8
 
10.1%
e 7
 
8.9%
P 6
 
7.6%
E 6
 
7.6%
M 5
 
6.3%
h 5
 
6.3%
H 5
 
6.3%
I 4
 
5.1%
C 4
 
5.1%
G 3
 
3.8%
Other values (22) 26
32.9%
Common
ValueCountFrequency (%)
3868
92.1%
+ 67
 
1.6%
) 63
 
1.5%
( 63
 
1.5%
/ 36
 
0.9%
· 27
 
0.6%
1 14
 
0.3%
2 12
 
0.3%
: 10
 
0.2%
3 8
 
0.2%
Other values (13) 33
 
0.8%
Han
ValueCountFrequency (%)
多 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19244
81.8%
ASCII 4251
 
18.1%
None 27
 
0.1%
Number Forms 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3868
91.0%
+ 67
 
1.6%
) 63
 
1.5%
( 63
 
1.5%
/ 36
 
0.8%
1 14
 
0.3%
2 12
 
0.3%
: 10
 
0.2%
T 8
 
0.2%
3 8
 
0.2%
Other values (42) 102
 
2.4%
Hangul
ValueCountFrequency (%)
공 813
 
4.2%
육 719
 
3.7%
지 534
 
2.8%
가 508
 
2.6%
교 507
 
2.6%
원 494
 
2.6%
문 485
 
2.5%
신 444
 
2.3%
제 432
 
2.2%
화 429
 
2.2%
Other values (448) 13879
72.1%
None
ValueCountFrequency (%)
· 27
100.0%
CJK
ValueCountFrequency (%)
多 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

복지서비스제공기관
Text

Distinct1222
Distinct (%)56.5%
Missing1
Missing (%)< 0.1%
Memory size17.0 KiB
2023-12-12T19:27:47.433705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length9.3140611
Min length2

Characters and Unicode

Total characters20137
Distinct characters519
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1020 ?
Unique (%)47.2%

Sample

1st row대한노인회 강원도연합회 광역취업센터
2nd row춘천고용복지플러스센터
3rd row춘천고용복지플러스센터
4th row춘천고용복지플러스센터
5th row춘천고용복지플러스센터
ValueCountFrequency (%)
경로당 291
 
10.1%
춘천종합사회복지관 50
 
1.7%
춘천지사 36
 
1.2%
춘천시시니어클럽 28
 
1.0%
복지지원과 28
 
1.0%
강원서부보훈지청 28
 
1.0%
국가보훈처 27
 
0.9%
춘천시 26
 
0.9%
건강가정·다문화가족지원센터 24
 
0.8%
춘천효자종합사회복지관 23
 
0.8%
Other values (1293) 2334
80.6%
2023-12-12T19:27:47.893803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 933
 
4.6%
733
 
3.6%
원 622
 
3.1%
천 547
 
2.7%
춘 511
 
2.5%
터 510
 
2.5%
센 475
 
2.4%
복 438
 
2.2%
로 391
 
1.9%
강 390
 
1.9%
Other values (509) 14587
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18718
93.0%
Space Separator 733
 
3.6%
Decimal Number 242
 
1.2%
Uppercase Letter 170
 
0.8%
Close Punctuation 107
 
0.5%
Open Punctuation 104
 
0.5%
Other Punctuation 42
 
0.2%
Lowercase Letter 10
 
< 0.1%
Math Symbol 7
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 933
 
5.0%
원 622
 
3.3%
천 547
 
2.9%
춘 511
 
2.7%
터 510
 
2.7%
센 475
 
2.5%
복 438
 
2.3%
로 391
 
2.1%
강 390
 
2.1%
경 369
 
2.0%
Other values (465) 13532
72.3%
Uppercase Letter
ValueCountFrequency (%)
Y 23
13.5%
H 22
12.9%
C 21
12.4%
A 19
11.2%
L 16
9.4%
W 16
9.4%
O 15
8.8%
P 7
 
4.1%
E 7
 
4.1%
J 6
 
3.5%
Other values (9) 18
10.6%
Decimal Number
ValueCountFrequency (%)
1 83
34.3%
2 76
31.4%
3 47
19.4%
4 10
 
4.1%
6 10
 
4.1%
5 7
 
2.9%
7 3
 
1.2%
9 2
 
0.8%
8 2
 
0.8%
0 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
· 30
71.4%
/ 9
 
21.4%
@ 1
 
2.4%
＠ 1
 
2.4%
. 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
50.0%
c 3
30.0%
i 1
 
10.0%
h 1
 
10.0%
Space Separator
ValueCountFrequency (%)
733
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Open Punctuation
ValueCountFrequency (%)
( 104
100.0%
Math Symbol
ValueCountFrequency (%)
+ 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18716
92.9%
Common 1237
 
6.1%
Latin 180
 
0.9%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 933
 
5.0%
원 622
 
3.3%
천 547
 
2.9%
춘 511
 
2.7%
터 510
 
2.7%
센 475
 
2.5%
복 438
 
2.3%
로 391
 
2.1%
강 390
 
2.1%
경 369
 
2.0%
Other values (462) 13530
72.3%
Latin
ValueCountFrequency (%)
Y 23
12.8%
H 22
12.2%
C 21
11.7%
A 19
10.6%
L 16
8.9%
W 16
8.9%
O 15
8.3%
P 7
 
3.9%
E 7
 
3.9%
J 6
 
3.3%
Other values (13) 28
15.6%
Common
ValueCountFrequency (%)
733
59.3%
) 107
 
8.6%
( 104
 
8.4%
1 83
 
6.7%
2 76
 
6.1%
3 47
 
3.8%
· 30
 
2.4%
4 10
 
0.8%
6 10
 
0.8%
/ 9
 
0.7%
Other values (10) 28
 
2.3%
Han
ValueCountFrequency (%)
孝 1
25.0%
愛 1
25.0%
利 1
25.0%
多 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18714
92.9%
ASCII 1386
 
6.9%
None 33
 
0.2%
CJK 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 933
 
5.0%
원 622
 
3.3%
천 547
 
2.9%
춘 511
 
2.7%
터 510
 
2.7%
센 475
 
2.5%
복 438
 
2.3%
로 391
 
2.1%
강 390
 
2.1%
경 369
 
2.0%
Other values (461) 13528
72.3%
ASCII
ValueCountFrequency (%)
733
52.9%
) 107
 
7.7%
( 104
 
7.5%
1 83
 
6.0%
2 76
 
5.5%
3 47
 
3.4%
Y 23
 
1.7%
H 22
 
1.6%
C 21
 
1.5%
A 19
 
1.4%
Other values (31) 151
 
10.9%
None
ValueCountFrequency (%)
· 30
90.9%
㈜ 2
 
6.1%
＠ 1
 
3.0%
CJK
ValueCountFrequency (%)
孝 1
25.0%
愛 1
25.0%
利 1
25.0%
多 1
25.0%

서비스문의전화번호
Text

MISSING 

Distinct1231
Distinct (%)59.1%
Missing79
Missing (%)3.7%
Memory size17.0 KiB
2023-12-12T19:27:48.253500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length12
Mean length12.493282
Min length3

Characters and Unicode

Total characters26036
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1029 ?
Unique (%)49.4%

Sample

1st row033-255-6065
2nd row033-250-1900
3rd row033-250-1900
4th row033-250-1900
5th row033-250-1900
ValueCountFrequency (%)
033-255-2491+033-255-2492+033-255-2493 38
 
1.8%
033-256-3005 28
 
1.3%
033-251-8014 26
 
1.2%
033-258-3637 24
 
1.2%
033-261-1790 23
 
1.1%
033-254-7244 20
 
1.0%
033-242-0051 19
 
0.9%
033-251-6150 18
 
0.9%
033-244-0579 16
 
0.8%
033-261-0199 15
 
0.7%
Other values (1221) 1857
89.1%
2023-12-12T19:27:48.791439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 5202
20.0%
- 4240
16.3%
0 3619
13.9%
2 3287
12.6%
5 2315
8.9%
4 1685
 
6.5%
1 1493
 
5.7%
6 1388
 
5.3%
9 955
 
3.7%
7 917
 
3.5%
Other values (4) 935
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21662
83.2%
Dash Punctuation 4240
 
16.3%
Math Symbol 132
 
0.5%
Space Separator 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5202
24.0%
0 3619
16.7%
2 3287
15.2%
5 2315
10.7%
4 1685
 
7.8%
1 1493
 
6.9%
6 1388
 
6.4%
9 955
 
4.4%
7 917
 
4.2%
8 801
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 4240
100.0%
Math Symbol
ValueCountFrequency (%)
+ 132
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26036
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 5202
20.0%
- 4240
16.3%
0 3619
13.9%
2 3287
12.6%
5 2315
8.9%
4 1685
 
6.5%
1 1493
 
5.7%
6 1388
 
5.3%
9 955
 
3.7%
7 917
 
3.5%
Other values (4) 935
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 5202
20.0%
- 4240
16.3%
0 3619
13.9%
2 3287
12.6%
5 2315
8.9%
4 1685
 
6.5%
1 1493
 
5.7%
6 1388
 
5.3%
9 955
 
3.7%
7 917
 
3.5%
Other values (4) 935
 
3.6%

홈페이지
Text

MISSING 

Distinct418
Distinct (%)37.3%
Missing1042
Missing (%)48.2%
Memory size17.0 KiB
2023-12-12T19:27:48.994507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length128
Median length72
Mean length29.08653
Min length10

Characters and Unicode

Total characters32606
Distinct characters96
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)23.4%

Sample

1st rowworkplus.go.kr/chuncheon
2nd rowworkplus.go.kr/chuncheon
3rd rowworkplus.go.kr/chuncheon
4th rowworkplus.go.kr/chuncheon
5th rowworkplus.go.kr/chuncheon
ValueCountFrequency (%)
www.rehab.or.kr 44
 
3.9%
www.ccsc.or.kr 28
 
2.5%
http://www.damunhwa.cc 24
 
2.1%
www.hyojaswc.or.kr 24
 
2.1%
http://www.chuncheon.go.kr/index.chuncheon?menucd=dom_000000520000000000 20
 
1.8%
http://www.ccnoin.or.kr 18
 
1.6%
www.worldvision.or.kr 18
 
1.6%
http://www.chuncheon.go.kr/index.chuncheon?menucd=dom_000000518000000000 18
 
1.6%
http://cckbuk.or.kr/nano/www 18
 
1.6%
http://www.chuncheon.go.kr/index.chuncheon?menucd=dom_000000593000000000 17
 
1.5%
Other values (405) 898
79.7%
2023-12-12T19:27:49.322874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3317
 
10.2%
w 2969
 
9.1%
/ 2054
 
6.3%
r 2020
 
6.2%
o 1968
 
6.0%
0 1894
 
5.8%
h 1764
 
5.4%
c 1653
 
5.1%
n 1506
 
4.6%
t 1493
 
4.6%
Other values (86) 11968
36.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22635
69.4%
Other Punctuation 6202
 
19.0%
Decimal Number 2703
 
8.3%
Uppercase Letter 602
 
1.8%
Connector Punctuation 200
 
0.6%
Math Symbol 178
 
0.5%
Other Letter 62
 
0.2%
Dash Punctuation 17
 
0.1%
Space Separator 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 8
 
12.9%
집 7
 
11.3%
소 7
 
11.3%
망 7
 
11.3%
원 4
 
6.5%
다 2
 
3.2%
츠 1
 
1.6%
협 1
 
1.6%
체 1
 
1.6%
단 1
 
1.6%
Other values (23) 23
37.1%
Lowercase Letter
ValueCountFrequency (%)
w 2969
13.1%
r 2020
 
8.9%
o 1968
 
8.7%
h 1764
 
7.8%
c 1653
 
7.3%
n 1506
 
6.7%
t 1493
 
6.6%
e 1429
 
6.3%
k 1180
 
5.2%
p 963
 
4.3%
Other values (16) 5690
25.1%
Uppercase Letter
ValueCountFrequency (%)
C 152
25.2%
D 129
21.4%
M 119
19.8%
O 116
19.3%
F 12
 
2.0%
I 12
 
2.0%
L 12
 
2.0%
G 10
 
1.7%
S 10
 
1.7%
U 10
 
1.7%
Other values (6) 20
 
3.3%
Decimal Number
ValueCountFrequency (%)
0 1894
70.1%
1 194
 
7.2%
5 163
 
6.0%
2 108
 
4.0%
3 85
 
3.1%
6 63
 
2.3%
8 56
 
2.1%
9 56
 
2.1%
4 44
 
1.6%
7 40
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 3317
53.5%
/ 2054
33.1%
: 640
 
10.3%
? 149
 
2.4%
& 26
 
0.4%
% 12
 
0.2%
# 4
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 200
100.0%
Math Symbol
ValueCountFrequency (%)
= 178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23237
71.3%
Common 9307
28.5%
Hangul 62
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 2969
12.8%
r 2020
 
8.7%
o 1968
 
8.5%
h 1764
 
7.6%
c 1653
 
7.1%
n 1506
 
6.5%
t 1493
 
6.4%
e 1429
 
6.1%
k 1180
 
5.1%
p 963
 
4.1%
Other values (32) 6292
27.1%
Hangul
ValueCountFrequency (%)
의 8
 
12.9%
집 7
 
11.3%
소 7
 
11.3%
망 7
 
11.3%
원 4
 
6.5%
다 2
 
3.2%
츠 1
 
1.6%
협 1
 
1.6%
체 1
 
1.6%
단 1
 
1.6%
Other values (23) 23
37.1%
Common
ValueCountFrequency (%)
. 3317
35.6%
/ 2054
22.1%
0 1894
20.4%
: 640
 
6.9%
_ 200
 
2.1%
1 194
 
2.1%
= 178
 
1.9%
5 163
 
1.8%
? 149
 
1.6%
2 108
 
1.2%
Other values (11) 410
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32544
99.8%
Hangul 62
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3317
 
10.2%
w 2969
 
9.1%
/ 2054
 
6.3%
r 2020
 
6.2%
o 1968
 
6.0%
0 1894
 
5.8%
h 1764
 
5.4%
c 1653
 
5.1%
n 1506
 
4.6%
t 1493
 
4.6%
Other values (53) 11906
36.6%
Hangul
ValueCountFrequency (%)
의 8
 
12.9%
집 7
 
11.3%
소 7
 
11.3%
망 7
 
11.3%
원 4
 
6.5%
다 2
 
3.2%
츠 1
 
1.6%
협 1
 
1.6%
체 1
 
1.6%
단 1
 
1.6%
Other values (23) 23
37.1%

소관부서
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.0 KiB
<NA>
1357 
복지정책과
466 
여성가족과
326 
복지정책과+여성가족과
 
11
경로복지과
 
3

Length

Max length11
Median length4
Mean length4.4031438
Min length4

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> 1357
62.7%
복지정책과 466
 
21.5%
여성가족과 326
 
15.1%
복지정책과+여성가족과 11
 
0.5%
경로복지과 3
 
0.1%

Length

2023-12-12T19:27:49.760709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:49.896730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1357
62.7%
복지정책과 466
 
21.5%
여성가족과 326
 
15.1%
복지정책과+여성가족과 11
 
0.5%
경로복지과 3
 
0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.0 KiB
2023-06-30
2163 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-30
2nd row2023-06-30
3rd row2023-06-30
4th row2023-06-30
5th row2023-06-30

Common Values

ValueCountFrequency (%)
2023-06-30 2163
100.0%

Length

2023-12-12T19:27:50.014962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:50.104322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-30 2163
100.0%

Correlations

2023-12-12T19:27:50.170990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
복지서비스분야소관부서
복지서비스분야1.0000.680
소관부서0.6801.000
2023-12-12T19:27:50.260113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
복지서비스분야소관부서
복지서비스분야1.0000.480
소관부서0.4801.000
2023-12-12T19:27:50.349510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
복지서비스분야소관부서
복지서비스분야1.0000.480
소관부서0.4801.000

Missing values

2023-12-12T19:27:45.311004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:27:45.447830image/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.
2023-12-12T19:27:45.573143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시도명시군구명복지서비스분야맞춤형복지서비스명복지서비스제공기관서비스문의전화번호홈페이지소관부서데이터기준일자
0강원특별자치도춘천시일거리노인민간기업 취업 알선대한노인회 강원도연합회 광역취업센터033-255-6065<NA><NA>2023-06-30
1강원특별자치도춘천시일거리실업급여춘천고용복지플러스센터033-250-1900workplus.go.kr/chuncheon<NA>2023-06-30
2강원특별자치도춘천시일거리외국인채용지원춘천고용복지플러스센터033-250-1900workplus.go.kr/chuncheon<NA>2023-06-30
3강원특별자치도춘천시일거리직업능력개발춘천고용복지플러스센터033-250-1900workplus.go.kr/chuncheon<NA>2023-06-30
4강원특별자치도춘천시일거리집단직업상담춘천고용복지플러스센터033-250-1900workplus.go.kr/chuncheon<NA>2023-06-30
5강원특별자치도춘천시일거리고용안정사업춘천고용복지플러스센터033-250-1900workplus.go.kr/chuncheon<NA>2023-06-30
6강원특별자치도춘천시일거리고용보험관리춘천고용복지플러스센터033-250-1900workplus.go.kr/chuncheon<NA>2023-06-30
7강원특별자치도춘천시일거리구직자 취업지원춘천고용복지플러스센터033-250-1900workplus.go.kr/chuncheon<NA>2023-06-30
8강원특별자치도춘천시일거리북한이탈주민 자격증 취득 지원복지지원과033-250-4150http://www.chuncheon.go.kr/index.chuncheon?menuCd=DOM_000000518000000000<NA>2023-06-30
9강원특별자치도춘천시일거리자활근로사업 참여복지지원과033-250-4159<NA><NA>2023-06-30
시도명시군구명복지서비스분야맞춤형복지서비스명복지서비스제공기관서비스문의전화번호홈페이지소관부서데이터기준일자
2153강원특별자치도춘천시기타복지사회통합프로그램(KIIP)법무부1345www.socinet.go.kr복지정책과2023-06-30
2154강원특별자치도춘천시기타복지저임금근로자 사회보험료 지원(두루누리)근로복지공단/국민연금공단<NA><NA>복지정책과2023-06-30
2155강원특별자치도춘천시기타복지농어업인 건강보험료 지원국민건강보험공단 춘천지사1577-1000http://www.nhis.or.kr/복지정책과2023-06-30
2156강원특별자치도춘천시기타복지농어가 목돈마련 저축 장려금농·수협/산림조합1588-2100+1588-1515+02-3434-7222<NA>복지정책과2023-06-30
2157강원특별자치도춘천시기타복지의사상자 예우 및 지원복지지원과033-250-3094<NA><NA>2023-06-30
2158강원특별자치도춘천시기타복지유해정보 모니터링중앙자살예방센터02-2203-0053http://www.spckorea.or.kr복지정책과2023-06-30
2159강원특별자치도춘천시기타복지아동수당보육아동과033-250-4243<NA><NA>2023-06-30
2160강원특별자치도춘천시기타복지의사상자 예우 및 지원복지지원과033-250-3094<NA><NA>2023-06-30
2161강원특별자치도춘천시기타복지유해정보 모니터링중앙자살예방센터02-2203-0053http://www.spckorea.or.kr<NA>2023-06-30
2162강원특별자치도춘천시기타복지아동수당보육아동과033-250-4243<NA><NA>2023-06-30

Duplicate rows

Most frequently occurring

시도명시군구명복지서비스분야맞춤형복지서비스명복지서비스제공기관서비스문의전화번호홈페이지소관부서데이터기준일자# duplicates
5강원특별자치도춘천시일상생활일상생활 지원정훈실버빌033-255-0544<NA><NA>2023-06-303
6강원특별자치도춘천시주거THE좋은세상만들기강원도장애인종합복지관(지역복지지원팀)033-255-2491+033-255-2492+033-255-2493www.rehab.or.kr/복지정책과2023-06-303
0강원특별자치도춘천시기타복지아동수당보육아동과033-250-4243<NA><NA>2023-06-302
1강원특별자치도춘천시기타복지의사상자 예우 및 지원복지지원과033-250-3094<NA><NA>2023-06-302
2강원특별자치도춘천시문화·여가어르신 여가 문화 프로그램백양회노인교실033-254-5473<NA><NA>2023-06-302
3강원특별자치도춘천시보육·교육다문화가족자녀 언어발달지원사업춘천시 건강가정·다문화가족지원센터033-251-8014http://www.damunhwa.cc/<NA>2023-06-302
4강원특별자치도춘천시신체건강·의료간호지원정훈실버빌033-255-0544<NA><NA>2023-06-302