Overview

Dataset statistics

Number of variables4
Number of observations7067
Missing cells0
Missing cells (%)0.0%
Duplicate rows563
Duplicate rows (%)8.0%
Total size in memory227.9 KiB
Average record size in memory33.0 B

Variable types

Text3
Numeric1

Dataset

Description경기도여성가족재단_보유자료목록
Author경기도여성가족재단
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=KV5A7ELK65INAX1JCEY830315654&infSeq=1

Alerts

Dataset has 563 (8.0%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-29 13:22:28.785759
Analysis finished2024-04-29 13:22:30.358371
Duration1.57 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도서명정보
Text

Distinct6191
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size55.3 KiB
2024-04-29T22:22:30.562450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length164
Median length102
Mean length32.313429
Min length2

Characters and Unicode

Total characters228359
Distinct characters1157
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5567 ?
Unique (%)78.8%

Sample

1st row2017 경기도 경제 리뷰 : Gyeonggi Economic Review 2017
2nd row공정 채용 가이드북
3rd row경기도 지하수 관리체계 개선방안 연구=Improvements of the Groundwater Managent System in Gyeonggi-do : 정책연구 2018-29
4th row이브 프로젝트 : 페미니스트를 위한 여성 성기의 역사
5th row행복한 육아문화 정착을 위한 KICCE 육아정책 여론조사
ValueCountFrequency (%)
2823
 
5.5%
경기도 1049
 
2.0%
연구 1007
 
2.0%
위한 644
 
1.3%
및 629
 
1.2%
정책보고서 623
 
1.2%
방안 472
 
0.9%
연구보고서 323
 
0.6%
중심으로 278
 
0.5%
정책연구 199
 
0.4%
Other values (15889) 43157
84.3%
2024-04-29T22:22:30.971502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44451
 
19.5%
0 5146
 
2.3%
2 4927
 
2.2%
1 3578
 
1.6%
의 3394
 
1.5%
기 3291
 
1.4%
: 3280
 
1.4%
정 2929
 
1.3%
성 2833
 
1.2%
( 2613
 
1.1%
Other values (1147) 151917
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 142320
62.3%
Space Separator 44451
 
19.5%
Decimal Number 17986
 
7.9%
Lowercase Letter 8368
 
3.7%
Other Punctuation 5145
 
2.3%
Open Punctuation 2627
 
1.2%
Close Punctuation 2625
 
1.1%
Dash Punctuation 2373
 
1.0%
Uppercase Letter 2155
 
0.9%
Math Symbol 295
 
0.1%
Other values (3) 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3394
 
2.4%
기 3291
 
2.3%
정 2929
 
2.1%
성 2833
 
2.0%
이 2517
 
1.8%
구 2498
 
1.8%
연 2235
 
1.6%
서 2209
 
1.6%
보 2201
 
1.5%
고 2198
 
1.5%
Other values (1051) 116015
81.5%
Lowercase Letter
ValueCountFrequency (%)
e 960
11.5%
n 782
 
9.3%
i 732
 
8.7%
o 718
 
8.6%
a 691
 
8.3%
t 635
 
7.6%
r 538
 
6.4%
s 467
 
5.6%
l 396
 
4.7%
c 344
 
4.1%
Other values (16) 2105
25.2%
Uppercase Letter
ValueCountFrequency (%)
S 289
13.4%
I 188
 
8.7%
A 153
 
7.1%
T 140
 
6.5%
C 135
 
6.3%
E 127
 
5.9%
R 122
 
5.7%
P 115
 
5.3%
O 97
 
4.5%
F 83
 
3.9%
Other values (16) 706
32.8%
Other Punctuation
ValueCountFrequency (%)
: 3280
63.8%
, 1030
 
20.0%
. 313
 
6.1%
· 153
 
3.0%
? 117
 
2.3%
! 85
 
1.7%
' 74
 
1.4%
& 24
 
0.5%
" 18
 
0.3%
% 18
 
0.3%
Other values (3) 33
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 5146
28.6%
2 4927
27.4%
1 3578
19.9%
9 776
 
4.3%
3 678
 
3.8%
8 675
 
3.8%
7 636
 
3.5%
6 530
 
2.9%
5 529
 
2.9%
4 511
 
2.8%
Math Symbol
ValueCountFrequency (%)
= 153
51.9%
~ 127
43.1%
+ 6
 
2.0%
< 4
 
1.4%
> 4
 
1.4%
∼ 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 2613
99.5%
[ 8
 
0.3%
『 3
 
0.1%
「 3
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2611
99.5%
] 8
 
0.3%
』 3
 
0.1%
」 3
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅴ 2
66.7%
Ⅵ 1
33.3%
Other Symbol
ValueCountFrequency (%)
® 1
50.0%
★ 1
50.0%
Space Separator
ValueCountFrequency (%)
44451
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2373
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 142258
62.3%
Common 75513
33.1%
Latin 10526
 
4.6%
Han 62
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3394
 
2.4%
기 3291
 
2.3%
정 2929
 
2.1%
성 2833
 
2.0%
이 2517
 
1.8%
구 2498
 
1.8%
연 2235
 
1.6%
서 2209
 
1.6%
보 2201
 
1.5%
고 2198
 
1.5%
Other values (1003) 115953
81.5%
Latin
ValueCountFrequency (%)
e 960
 
9.1%
n 782
 
7.4%
i 732
 
7.0%
o 718
 
6.8%
a 691
 
6.6%
t 635
 
6.0%
r 538
 
5.1%
s 467
 
4.4%
l 396
 
3.8%
c 344
 
3.3%
Other values (44) 4263
40.5%
Han
ValueCountFrequency (%)
史 3
 
4.8%
新 3
 
4.8%
性 3
 
4.8%
休 3
 
4.8%
小 2
 
3.2%
法 2
 
3.2%
大 2
 
3.2%
美 2
 
3.2%
焉 2
 
3.2%
終 2
 
3.2%
Other values (38) 38
61.3%
Common
ValueCountFrequency (%)
44451
58.9%
0 5146
 
6.8%
2 4927
 
6.5%
1 3578
 
4.7%
: 3280
 
4.3%
( 2613
 
3.5%
) 2611
 
3.5%
- 2373
 
3.1%
, 1030
 
1.4%
9 776
 
1.0%
Other values (32) 4728
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 142258
62.3%
ASCII 85868
37.6%
None 166
 
0.1%
CJK 60
 
< 0.1%
Number Forms 3
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Math Operators 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44451
51.8%
0 5146
 
6.0%
2 4927
 
5.7%
1 3578
 
4.2%
: 3280
 
3.8%
( 2613
 
3.0%
) 2611
 
3.0%
- 2373
 
2.8%
, 1030
 
1.2%
e 960
 
1.1%
Other values (76) 14899
 
17.4%
Hangul
ValueCountFrequency (%)
의 3394
 
2.4%
기 3291
 
2.3%
정 2929
 
2.1%
성 2833
 
2.0%
이 2517
 
1.8%
구 2498
 
1.8%
연 2235
 
1.6%
서 2209
 
1.6%
보 2201
 
1.5%
고 2198
 
1.5%
Other values (1003) 115953
81.5%
None
ValueCountFrequency (%)
· 153
92.2%
』 3
 
1.8%
『 3
 
1.8%
」 3
 
1.8%
「 3
 
1.8%
® 1
 
0.6%
CJK
ValueCountFrequency (%)
史 3
 
5.0%
新 3
 
5.0%
性 3
 
5.0%
休 3
 
5.0%
小 2
 
3.3%
法 2
 
3.3%
大 2
 
3.3%
美 2
 
3.3%
焉 2
 
3.3%
終 2
 
3.3%
Other values (36) 36
60.0%
Number Forms
ValueCountFrequency (%)
Ⅴ 2
66.7%
Ⅵ 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
女 1
50.0%
歷 1
50.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

저자명정보
Text

Distinct4676
Distinct (%)66.2%
Missing0
Missing (%)0.0%
Memory size55.3 KiB
2024-04-29T22:22:31.223277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length248
Median length117
Mean length9.8309042
Min length2

Characters and Unicode

Total characters69475
Distinct characters818
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3806 ?
Unique (%)53.9%

Sample

1st row경기연구원
2nd row인사혁신처
3rd row이기영 외
4th row글·그림: 리브 스트룀키스트 ; 옮김: 맹슬기
5th row박원순 외
ValueCountFrequency (%)
2057
 
11.7%
지음 1318
 
7.5%
외 753
 
4.3%
연구책임 361
 
2.0%
옮김 330
 
1.9%
지은이 262
 
1.5%
공동연구 192
 
1.1%
경기도가족여성연구원 117
 
0.7%
정혜원 110
 
0.6%
남승연 107
 
0.6%
Other values (6168) 12011
68.2%
2024-04-29T22:22:31.643042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10749
 
15.5%
지 2087
 
3.0%
김 1954
 
2.8%
이 1891
 
2.7%
, 1873
 
2.7%
; 1790
 
2.6%
정 1659
 
2.4%
음 1448
 
2.1%
연 1434
 
2.1%
: 1271
 
1.8%
Other values (808) 43319
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49980
71.9%
Space Separator 10749
 
15.5%
Other Punctuation 5232
 
7.5%
Lowercase Letter 2016
 
2.9%
Uppercase Letter 978
 
1.4%
Open Punctuation 142
 
0.2%
Close Punctuation 141
 
0.2%
Math Symbol 137
 
0.2%
Decimal Number 86
 
0.1%
Dash Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2087
 
4.2%
김 1954
 
3.9%
이 1891
 
3.8%
정 1659
 
3.3%
음 1448
 
2.9%
연 1434
 
2.9%
경 1157
 
2.3%
구 1135
 
2.3%
영 976
 
2.0%
임 818
 
1.6%
Other values (727) 35421
70.9%
Lowercase Letter
ValueCountFrequency (%)
a 249
12.4%
e 244
12.1%
n 202
10.0%
r 194
9.6%
i 163
 
8.1%
o 131
 
6.5%
l 112
 
5.6%
s 94
 
4.7%
h 87
 
4.3%
t 85
 
4.2%
Other values (16) 455
22.6%
Uppercase Letter
ValueCountFrequency (%)
S 97
 
9.9%
B 84
 
8.6%
E 77
 
7.9%
D 61
 
6.2%
M 61
 
6.2%
A 58
 
5.9%
J 53
 
5.4%
R 48
 
4.9%
C 47
 
4.8%
L 46
 
4.7%
Other values (15) 346
35.4%
Decimal Number
ValueCountFrequency (%)
1 23
26.7%
2 20
23.3%
0 14
16.3%
3 8
 
9.3%
4 6
 
7.0%
6 5
 
5.8%
7 3
 
3.5%
5 3
 
3.5%
8 3
 
3.5%
9 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 1873
35.8%
; 1790
34.2%
: 1271
24.3%
. 253
 
4.8%
· 28
 
0.5%
/ 11
 
0.2%
? 5
 
0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
| 129
94.2%
< 4
 
2.9%
> 4
 
2.9%
Open Punctuation
ValueCountFrequency (%)
[ 125
88.0%
( 12
 
8.5%
〈 5
 
3.5%
Close Punctuation
ValueCountFrequency (%)
] 123
87.2%
) 13
 
9.2%
〉 5
 
3.5%
Space Separator
ValueCountFrequency (%)
10749
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49933
71.9%
Common 16501
 
23.8%
Latin 2994
 
4.3%
Han 44
 
0.1%
Hiragana 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2087
 
4.2%
김 1954
 
3.9%
이 1891
 
3.8%
정 1659
 
3.3%
음 1448
 
2.9%
연 1434
 
2.9%
경 1157
 
2.3%
구 1135
 
2.3%
영 976
 
2.0%
임 818
 
1.6%
Other values (693) 35374
70.8%
Latin
ValueCountFrequency (%)
a 249
 
8.3%
e 244
 
8.1%
n 202
 
6.7%
r 194
 
6.5%
i 163
 
5.4%
o 131
 
4.4%
l 112
 
3.7%
S 97
 
3.2%
s 94
 
3.1%
h 87
 
2.9%
Other values (41) 1421
47.5%
Han
ValueCountFrequency (%)
著 9
20.5%
始 2
 
4.5%
元 2
 
4.5%
創 2
 
4.5%
相 2
 
4.5%
趙 2
 
4.5%
基 1
 
2.3%
道 1
 
2.3%
白 1
 
2.3%
黃 1
 
2.3%
Other values (21) 21
47.7%
Common
ValueCountFrequency (%)
10749
65.1%
, 1873
 
11.4%
; 1790
 
10.8%
: 1271
 
7.7%
. 253
 
1.5%
| 129
 
0.8%
[ 125
 
0.8%
] 123
 
0.7%
· 28
 
0.2%
1 23
 
0.1%
Other values (20) 137
 
0.8%
Hiragana
ValueCountFrequency (%)
あ 1
33.3%
け 1
33.3%
み 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49932
71.9%
ASCII 19457
 
28.0%
CJK 43
 
0.1%
None 38
 
0.1%
Hiragana 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10749
55.2%
, 1873
 
9.6%
; 1790
 
9.2%
: 1271
 
6.5%
. 253
 
1.3%
a 249
 
1.3%
e 244
 
1.3%
n 202
 
1.0%
r 194
 
1.0%
i 163
 
0.8%
Other values (68) 2469
 
12.7%
Hangul
ValueCountFrequency (%)
지 2087
 
4.2%
김 1954
 
3.9%
이 1891
 
3.8%
정 1659
 
3.3%
음 1448
 
2.9%
연 1434
 
2.9%
경 1157
 
2.3%
구 1135
 
2.3%
영 976
 
2.0%
임 818
 
1.6%
Other values (692) 35373
70.8%
None
ValueCountFrequency (%)
· 28
73.7%
〈 5
 
13.2%
〉 5
 
13.2%
CJK
ValueCountFrequency (%)
著 9
20.9%
始 2
 
4.7%
元 2
 
4.7%
創 2
 
4.7%
相 2
 
4.7%
趙 2
 
4.7%
基 1
 
2.3%
道 1
 
2.3%
白 1
 
2.3%
黃 1
 
2.3%
Other values (20) 20
46.5%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
Hiragana
ValueCountFrequency (%)
あ 1
33.3%
け 1
33.3%
み 1
33.3%

출판사명
Text

Distinct1624
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Memory size55.3 KiB
2024-04-29T22:22:31.959095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length226
Median length81
Mean length6.689826
Min length1

Characters and Unicode

Total characters47277
Distinct characters642
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique925 ?
Unique (%)13.1%

Sample

1st row경기연구원
2nd row인사혁신처
3rd row경기연구원
4th row푸른지식
5th row육아정책연구소
ValueCountFrequency (%)
경기도가족여성연구원 1100
 
14.4%
경기연구원 244
 
3.2%
경기도여성가족재단 209
 
2.7%
수원시정연구원 165
 
2.2%
육아정책연구소 149
 
1.9%
학지사 96
 
1.3%
한국여성정책연구원 89
 
1.2%
경기도가족여성개발원 83
 
1.1%
이민정책연구원 77
 
1.0%
공동체 63
 
0.8%
Other values (1752) 5371
70.2%
2024-04-29T22:22:32.434763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 2724
 
5.8%
구 2278
 
4.8%
연 2271
 
4.8%
성 2144
 
4.5%
여 2077
 
4.4%
경 1993
 
4.2%
기 1906
 
4.0%
가 1860
 
3.9%
족 1799
 
3.8%
도 1687
 
3.6%
Other values (632) 26538
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44092
93.3%
Lowercase Letter 1026
 
2.2%
Uppercase Letter 1002
 
2.1%
Space Separator 579
 
1.2%
Other Punctuation 196
 
0.4%
Open Punctuation 135
 
0.3%
Close Punctuation 134
 
0.3%
Decimal Number 109
 
0.2%
Math Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 2724
 
6.2%
구 2278
 
5.2%
연 2271
 
5.2%
성 2144
 
4.9%
여 2077
 
4.7%
경 1993
 
4.5%
기 1906
 
4.3%
가 1860
 
4.2%
족 1799
 
4.1%
도 1687
 
3.8%
Other values (559) 23353
53.0%
Lowercase Letter
ValueCountFrequency (%)
o 112
10.9%
e 97
 
9.5%
i 93
 
9.1%
n 83
 
8.1%
s 83
 
8.1%
a 81
 
7.9%
r 74
 
7.2%
t 44
 
4.3%
l 42
 
4.1%
d 40
 
3.9%
Other values (15) 277
27.0%
Uppercase Letter
ValueCountFrequency (%)
E 85
 
8.5%
S 80
 
8.0%
R 76
 
7.6%
I 73
 
7.3%
B 70
 
7.0%
N 58
 
5.8%
P 57
 
5.7%
M 56
 
5.6%
O 56
 
5.6%
A 55
 
5.5%
Other values (14) 336
33.5%
Decimal Number
ValueCountFrequency (%)
1 45
41.3%
2 44
40.4%
4 6
 
5.5%
0 6
 
5.5%
3 4
 
3.7%
6 2
 
1.8%
9 1
 
0.9%
8 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
: 159
81.1%
; 11
 
5.6%
. 9
 
4.6%
, 5
 
2.6%
& 5
 
2.6%
· 4
 
2.0%
# 3
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 133
99.3%
] 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 133
98.5%
[ 2
 
1.5%
Math Symbol
ValueCountFrequency (%)
× 1
50.0%
+ 1
50.0%
Space Separator
ValueCountFrequency (%)
579
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44066
93.2%
Latin 2028
 
4.3%
Common 1157
 
2.4%
Han 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 2724
 
6.2%
구 2278
 
5.2%
연 2271
 
5.2%
성 2144
 
4.9%
여 2077
 
4.7%
경 1993
 
4.5%
기 1906
 
4.3%
가 1860
 
4.2%
족 1799
 
4.1%
도 1687
 
3.8%
Other values (542) 23327
52.9%
Latin
ValueCountFrequency (%)
o 112
 
5.5%
e 97
 
4.8%
i 93
 
4.6%
E 85
 
4.2%
n 83
 
4.1%
s 83
 
4.1%
a 81
 
4.0%
S 80
 
3.9%
R 76
 
3.7%
r 74
 
3.6%
Other values (39) 1164
57.4%
Common
ValueCountFrequency (%)
579
50.0%
: 159
 
13.7%
) 133
 
11.5%
( 133
 
11.5%
1 45
 
3.9%
2 44
 
3.8%
; 11
 
1.0%
. 9
 
0.8%
4 6
 
0.5%
0 6
 
0.5%
Other values (14) 32
 
2.8%
Han
ValueCountFrequency (%)
社 5
19.2%
文 3
11.5%
英 2
 
7.7%
博 2
 
7.7%
法 2
 
7.7%
貿 1
 
3.8%
營 1
 
3.8%
經 1
 
3.8%
易 1
 
3.8%
夏 1
 
3.8%
Other values (7) 7
26.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44065
93.2%
ASCII 3180
 
6.7%
CJK 25
 
0.1%
None 5
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 2724
 
6.2%
구 2278
 
5.2%
연 2271
 
5.2%
성 2144
 
4.9%
여 2077
 
4.7%
경 1993
 
4.5%
기 1906
 
4.3%
가 1860
 
4.2%
족 1799
 
4.1%
도 1687
 
3.8%
Other values (541) 23326
52.9%
ASCII
ValueCountFrequency (%)
579
 
18.2%
: 159
 
5.0%
) 133
 
4.2%
( 133
 
4.2%
o 112
 
3.5%
e 97
 
3.1%
i 93
 
2.9%
E 85
 
2.7%
n 83
 
2.6%
s 83
 
2.6%
Other values (61) 1623
51.0%
CJK
ValueCountFrequency (%)
社 5
20.0%
文 3
12.0%
英 2
 
8.0%
博 2
 
8.0%
法 2
 
8.0%
貿 1
 
4.0%
營 1
 
4.0%
經 1
 
4.0%
易 1
 
4.0%
夏 1
 
4.0%
Other values (6) 6
24.0%
None
ValueCountFrequency (%)
· 4
80.0%
× 1
 
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
良 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

발행년도
Real number (ℝ)

Distinct38
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.3422
Minimum1980
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size62.2 KiB
2024-04-29T22:22:32.580280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1980
5-th percentile2005
Q12012
median2017
Q32019
95-th percentile2021
Maximum2023
Range43
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.2944528
Coefficient of variation (CV)0.0026270739
Kurtosis1.7297584
Mean2015.3422
Median Absolute Deviation (MAD)3
Skewness-1.2561183
Sum14242423
Variance28.03123
MonotonicityNot monotonic
2024-04-29T22:22:32.690793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2017 900
12.7%
2021 896
12.7%
2020 726
10.3%
2019 596
 
8.4%
2016 586
 
8.3%
2018 544
 
7.7%
2015 430
 
6.1%
2014 338
 
4.8%
2012 267
 
3.8%
2011 221
 
3.1%
Other values (28) 1563
22.1%
ValueCountFrequency (%)
1980 1
 
< 0.1%
1985 1
 
< 0.1%
1986 1
 
< 0.1%
1987 1
 
< 0.1%
1988 2
 
< 0.1%
1989 1
 
< 0.1%
1990 1
 
< 0.1%
1993 2
 
< 0.1%
1994 5
0.1%
1995 8
0.1%
ValueCountFrequency (%)
2023 16
 
0.2%
2022 85
 
1.2%
2021 896
12.7%
2020 726
10.3%
2019 596
8.4%
2018 544
7.7%
2017 900
12.7%
2016 586
8.3%
2015 430
6.1%
2014 338
 
4.8%

Interactions

2024-04-29T22:22:30.120511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-29T22:22:30.234885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-29T22:22:30.315313image/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

도서명정보저자명정보출판사명발행년도
02017 경기도 경제 리뷰 : Gyeonggi Economic Review 2017경기연구원경기연구원2018
1공정 채용 가이드북인사혁신처인사혁신처2018
2경기도 지하수 관리체계 개선방안 연구=Improvements of the Groundwater Managent System in Gyeonggi-do : 정책연구 2018-29이기영 외경기연구원2018
3이브 프로젝트 : 페미니스트를 위한 여성 성기의 역사글·그림: 리브 스트룀키스트 ; 옮김: 맹슬기푸른지식2018
4행복한 육아문화 정착을 위한 KICCE 육아정책 여론조사박원순 외육아정책연구소2021
5빅데이터에 기반한 육아정책 쟁점과 향후 과제김동훈 외육아정책연구소2021
6연구보고 2022-2027 유아교육 보육 중장기 발전방안 연구문무경 외육아정책연구소2021
7양육지원정책 중장기 재정 추계 및 분담구조 개선 연구김동훈 외육아정책연구소2021
8영유아 인구 희소 농어촌 지역 보육 교육 서비스 통합 지원 방안양미선 외육아정책연구소2021
9포스트코로나 시대 양육지원체계 재구조화 연구최윤경 외육아정책연구소2021
도서명정보저자명정보출판사명발행년도
7057WTO체제와 농정개혁박진도한울아카데미2005
7058사람인가를 묻는 논어 1윤재근동학사2004
7059쇼크 독트린: 자본주의 재앙의 도래나오미 클라인 ; 김소희 옮김살림Biz2008
7060달러: 사악한 화폐의 탄생과 금융 몰락의 진실엘렌 H 브라운 ; 이재황 옮김AK2009
7061어린왕자생텍쥐페리 ; 박지현 옮김인화2003
7062사회과학 연구방법론이군희법우사2001
7063합리적 선택과 신제도주의정용덕 외대영문화사1999
7064세계는 평평하다토머스 밀턴 프리드먼 ; 김성철, 이윤섭 옮김창해2005
7065신자유주의 이후의 한국경제새로운사회를여는연구원시대의창2009
7066우석훈, 이제 무엇으로 희망을 말할 것인가 : '88만원 세대'를 넘어 한국사회의 희망찾기지승호시대의창2008

Duplicate rows

Most frequently occurring

도서명정보저자명정보출판사명발행년도# duplicates
216경기도 여성 재택근무 실태와 과제 (정책보고서 2021-12)정형옥경기도여성가족재단20216
207경기도 어린이집 농어촌 특례 인정 가이드라인 연구 (현안보고서 2021-05)김미정경기도여성가족재단20214
418아니올시다, 아니올시다 : 변함없는 소신과 당당함으로허재안 지음우일20114
544한국 젠더정치와 여성정책심영희나남출판20064
0"행복한 가족 프로그램" 활성화 방안 연구 : 정책보고서 2019-01연구책임 : 양정선경기도가족여성연구원20193
1(2019-08) 경기도 국공립어린이집 확충을 위한 수급전망 및 정책방향김미정 ; 박진아경기도가족여성연구원20193
2(2019-11) 온라인 경력개발센터 '꿈날개' 운영실태 분석 및 개선방안 연구남승연경기도가족여성연구원20193
8(수탁보고서) 수원시 주민자치조직 운영에 대한 특정성별영향평가연구책임 남승연 ; 공동연구 손영숙 ; 연구지원 이경민수원시 여성정책과20193
10(요약보고서) 양주시 중장기 보육발전계획 연구양주시양주시20213
15(정책보고서 2019-15) 경기도민의 차별과 사회통합에 대한 인식 연구김영혜,이은아,박효민경기도가족여성연구원20203