Overview

Dataset statistics

Number of variables5
Number of observations4396
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory171.8 KiB
Average record size in memory40.0 B

Variable types

Text4
Categorical1

Dataset

Description경기연구원 소장도서 목록
Author경기연구원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=4VMGVZ6C8Z3A7IESPFWV30851282&infSeq=1

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-29 13:01:55.928201
Analysis finished2024-04-29 13:01:57.332658
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct4395
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size34.5 KiB
2024-04-29T22:01:57.541697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.0059145
Min length7

Characters and Unicode

Total characters30798
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4394 ?
Unique (%)> 99.9%

Sample

1st rowK005148
2nd rowK005149
3rd rowK005150
4th rowK005151
5th rowK005152
ValueCountFrequency (%)
e054297 2
 
< 0.1%
e054293 1
 
< 0.1%
e054287 1
 
< 0.1%
e054288 1
 
< 0.1%
e054289 1
 
< 0.1%
e054328 1
 
< 0.1%
e054290 1
 
< 0.1%
e054292 1
 
< 0.1%
e054294 1
 
< 0.1%
e054319 1
 
< 0.1%
Other values (4385) 4385
99.7%
2024-04-29T22:01:57.955713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6363
20.7%
5 6219
20.2%
E 3824
12.4%
4 2423
 
7.9%
3 2284
 
7.4%
1 1950
 
6.3%
2 1693
 
5.5%
9 1428
 
4.6%
7 1372
 
4.5%
8 1361
 
4.4%
Other values (4) 1881
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26376
85.6%
Uppercase Letter 4422
 
14.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6363
24.1%
5 6219
23.6%
4 2423
 
9.2%
3 2284
 
8.7%
1 1950
 
7.4%
2 1693
 
6.4%
9 1428
 
5.4%
7 1372
 
5.2%
8 1361
 
5.2%
6 1283
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
E 3824
86.5%
K 533
 
12.1%
W 39
 
0.9%
B 26
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Common 26376
85.6%
Latin 4422
 
14.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6363
24.1%
5 6219
23.6%
4 2423
 
9.2%
3 2284
 
8.7%
1 1950
 
7.4%
2 1693
 
6.4%
9 1428
 
5.4%
7 1372
 
5.2%
8 1361
 
5.2%
6 1283
 
4.9%
Latin
ValueCountFrequency (%)
E 3824
86.5%
K 533
 
12.1%
W 39
 
0.9%
B 26
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30798
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6363
20.7%
5 6219
20.2%
E 3824
12.4%
4 2423
 
7.9%
3 2284
 
7.4%
1 1950
 
6.3%
2 1693
 
5.5%
9 1428
 
4.6%
7 1372
 
4.5%
8 1361
 
4.4%
Other values (4) 1881
 
6.1%
Distinct4386
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size34.5 KiB
2024-04-29T22:01:58.239666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length12.291856
Min length3

Characters and Unicode

Total characters54035
Distinct characters530
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4376 ?
Unique (%)99.5%

Sample

1st rowMF22-50 김92임 2022
2nd rowMF22-49 이56한 2022
3rd rowMF22-46 문38도 2022
4th rowMFB22-03 유64경 2022
5th rowMF22-52 지66경 2022
ValueCountFrequency (%)
2021 222
 
2.2%
539.7 195
 
2.0%
2022 188
 
1.9%
2020 166
 
1.7%
2023 140
 
1.4%
340.911 107
 
1.1%
326.391 95
 
1.0%
331.5 82
 
0.8%
v.2 73
 
0.7%
경18경 62
 
0.6%
Other values (4976) 8642
86.7%
2024-04-29T22:01:58.669819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5942
 
11.0%
3 5716
 
10.6%
5576
 
10.3%
1 4317
 
8.0%
. 3702
 
6.9%
5 3166
 
5.9%
4 2489
 
4.6%
0 2488
 
4.6%
6 2452
 
4.5%
8 2249
 
4.2%
Other values (520) 15938
29.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33233
61.5%
Other Letter 8624
 
16.0%
Space Separator 5576
 
10.3%
Other Punctuation 3704
 
6.9%
Uppercase Letter 1563
 
2.9%
Dash Punctuation 637
 
1.2%
Lowercase Letter 340
 
0.6%
Open Punctuation 179
 
0.3%
Close Punctuation 179
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
705
 
8.2%
628
 
7.3%
549
 
6.4%
221
 
2.6%
209
 
2.4%
202
 
2.3%
186
 
2.2%
158
 
1.8%
146
 
1.7%
145
 
1.7%
Other values (459) 5475
63.5%
Lowercase Letter
ValueCountFrequency (%)
v 248
72.9%
i 11
 
3.2%
l 8
 
2.4%
o 6
 
1.8%
a 6
 
1.8%
n 6
 
1.8%
d 5
 
1.5%
c 5
 
1.5%
s 5
 
1.5%
e 5
 
1.5%
Other values (13) 35
 
10.3%
Uppercase Letter
ValueCountFrequency (%)
M 686
43.9%
F 412
26.4%
P 177
 
11.3%
S 76
 
4.9%
R 61
 
3.9%
B 60
 
3.8%
C 29
 
1.9%
D 9
 
0.6%
A 7
 
0.4%
G 6
 
0.4%
Other values (12) 40
 
2.6%
Decimal Number
ValueCountFrequency (%)
2 5942
17.9%
3 5716
17.2%
1 4317
13.0%
5 3166
9.5%
4 2489
7.5%
0 2488
7.5%
6 2452
7.4%
8 2249
 
6.8%
9 2220
 
6.7%
7 2194
 
6.6%
Other Punctuation
ValueCountFrequency (%)
. 3702
99.9%
? 2
 
0.1%
Space Separator
ValueCountFrequency (%)
5576
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 637
100.0%
Open Punctuation
ValueCountFrequency (%)
( 179
100.0%
Close Punctuation
ValueCountFrequency (%)
) 179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43508
80.5%
Hangul 8624
 
16.0%
Latin 1903
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
705
 
8.2%
628
 
7.3%
549
 
6.4%
221
 
2.6%
209
 
2.4%
202
 
2.3%
186
 
2.2%
158
 
1.8%
146
 
1.7%
145
 
1.7%
Other values (459) 5475
63.5%
Latin
ValueCountFrequency (%)
M 686
36.0%
F 412
21.7%
v 248
 
13.0%
P 177
 
9.3%
S 76
 
4.0%
R 61
 
3.2%
B 60
 
3.2%
C 29
 
1.5%
i 11
 
0.6%
D 9
 
0.5%
Other values (35) 134
 
7.0%
Common
ValueCountFrequency (%)
2 5942
13.7%
3 5716
13.1%
5576
12.8%
1 4317
9.9%
. 3702
8.5%
5 3166
7.3%
4 2489
5.7%
0 2488
5.7%
6 2452
5.6%
8 2249
 
5.2%
Other values (6) 5411
12.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 45411
84.0%
Hangul 8623
 
16.0%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5942
13.1%
3 5716
12.6%
5576
12.3%
1 4317
9.5%
. 3702
8.2%
5 3166
7.0%
4 2489
 
5.5%
0 2488
 
5.5%
6 2452
 
5.4%
8 2249
 
5.0%
Other values (51) 7314
16.1%
Hangul
ValueCountFrequency (%)
705
 
8.2%
628
 
7.3%
549
 
6.4%
221
 
2.6%
209
 
2.4%
202
 
2.3%
186
 
2.2%
158
 
1.8%
146
 
1.7%
145
 
1.7%
Other values (458) 5474
63.5%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct4366
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size34.5 KiB
2024-04-29T22:01:58.960297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length167
Median length108
Mean length35.454732
Min length9

Characters and Unicode

Total characters155859
Distinct characters1077
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4349 ?
Unique (%)98.9%

Sample

1st row임진강 평화습지원 운영개선 방안 - 김한수
2nd row한중 경제교류 30년의 동향과 경기도 정책 방향 - 이수행
3rd row도시제조업 생태계와 경기도 정책방향 연구 - 문미성
4th row경기도 범주형 기본소득 도입 4년차, 기본소득에 대한 시민의식 분석 - 유영성
5th row경기도 공동주택 주차수요 대응방안 연구 - 지우석
ValueCountFrequency (%)
5912
 
15.0%
연구 1099
 
2.8%
위한 542
 
1.4%
517
 
1.3%
방안 468
 
1.2%
경기도 344
 
0.9%
중심으로 310
 
0.8%
분석 232
 
0.6%
경기연구원 202
 
0.5%
관한 151
 
0.4%
Other values (14014) 29598
75.2%
2024-04-29T22:01:59.406432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35041
 
22.5%
- 4532
 
2.9%
2179
 
1.4%
2151
 
1.4%
1971
 
1.3%
1888
 
1.2%
1751
 
1.1%
1696
 
1.1%
1695
 
1.1%
1609
 
1.0%
Other values (1067) 101346
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102893
66.0%
Space Separator 35041
 
22.5%
Dash Punctuation 4532
 
2.9%
Lowercase Letter 4049
 
2.6%
Other Punctuation 3161
 
2.0%
Decimal Number 3033
 
1.9%
Uppercase Letter 1651
 
1.1%
Open Punctuation 693
 
0.4%
Close Punctuation 692
 
0.4%
Letter Number 65
 
< 0.1%
Other values (4) 49
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2179
 
2.1%
2151
 
2.1%
1971
 
1.9%
1888
 
1.8%
1751
 
1.7%
1696
 
1.6%
1695
 
1.6%
1609
 
1.6%
1563
 
1.5%
1558
 
1.5%
Other values (962) 84832
82.4%
Lowercase Letter
ValueCountFrequency (%)
e 462
11.4%
o 402
 
9.9%
n 372
 
9.2%
i 354
 
8.7%
a 328
 
8.1%
r 281
 
6.9%
t 259
 
6.4%
s 226
 
5.6%
l 181
 
4.5%
c 176
 
4.3%
Other values (16) 1008
24.9%
Uppercase Letter
ValueCountFrequency (%)
I 188
 
11.4%
S 162
 
9.8%
D 123
 
7.5%
R 112
 
6.8%
T 108
 
6.5%
A 102
 
6.2%
E 100
 
6.1%
C 100
 
6.1%
G 91
 
5.5%
P 69
 
4.2%
Other values (16) 496
30.0%
Other Punctuation
ValueCountFrequency (%)
: 1551
49.1%
, 820
25.9%
. 326
 
10.3%
? 150
 
4.7%
· 143
 
4.5%
' 54
 
1.7%
/ 42
 
1.3%
! 33
 
1.0%
& 32
 
1.0%
" 4
 
0.1%
Other values (3) 6
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 1106
36.5%
0 782
25.8%
1 503
16.6%
9 164
 
5.4%
3 138
 
4.5%
4 120
 
4.0%
5 74
 
2.4%
8 55
 
1.8%
6 48
 
1.6%
7 43
 
1.4%
Letter Number
ValueCountFrequency (%)
22
33.8%
16
24.6%
13
20.0%
3
 
4.6%
3
 
4.6%
2
 
3.1%
2
 
3.1%
2
 
3.1%
2
 
3.1%
Open Punctuation
ValueCountFrequency (%)
( 648
93.5%
[ 33
 
4.8%
6
 
0.9%
4
 
0.6%
2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 647
93.5%
] 33
 
4.8%
6
 
0.9%
4
 
0.6%
2
 
0.3%
Math Symbol
ValueCountFrequency (%)
~ 22
66.7%
+ 4
 
12.1%
< 3
 
9.1%
> 3
 
9.1%
= 1
 
3.0%
Other Symbol
ValueCountFrequency (%)
° 1
50.0%
® 1
50.0%
Space Separator
ValueCountFrequency (%)
35041
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4532
100.0%
Final Punctuation
ValueCountFrequency (%)
8
100.0%
Initial Punctuation
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102847
66.0%
Common 47201
30.3%
Latin 5765
 
3.7%
Han 46
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2179
 
2.1%
2151
 
2.1%
1971
 
1.9%
1888
 
1.8%
1751
 
1.7%
1696
 
1.6%
1695
 
1.6%
1609
 
1.6%
1563
 
1.5%
1558
 
1.5%
Other values (927) 84786
82.4%
Latin
ValueCountFrequency (%)
e 462
 
8.0%
o 402
 
7.0%
n 372
 
6.5%
i 354
 
6.1%
a 328
 
5.7%
r 281
 
4.9%
t 259
 
4.5%
s 226
 
3.9%
I 188
 
3.3%
l 181
 
3.1%
Other values (51) 2712
47.0%
Common
ValueCountFrequency (%)
35041
74.2%
- 4532
 
9.6%
: 1551
 
3.3%
2 1106
 
2.3%
, 820
 
1.7%
0 782
 
1.7%
( 648
 
1.4%
) 647
 
1.4%
1 503
 
1.1%
. 326
 
0.7%
Other values (34) 1245
 
2.6%
Han
ValueCountFrequency (%)
4
 
8.7%
3
 
6.5%
3
 
6.5%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
1
 
2.2%
1
 
2.2%
1
 
2.2%
Other values (25) 25
54.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102841
66.0%
ASCII 52714
33.8%
None 173
 
0.1%
Number Forms 65
 
< 0.1%
CJK 46
 
< 0.1%
Punctuation 14
 
< 0.1%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35041
66.5%
- 4532
 
8.6%
: 1551
 
2.9%
2 1106
 
2.1%
, 820
 
1.6%
0 782
 
1.5%
( 648
 
1.2%
) 647
 
1.2%
1 503
 
1.0%
e 462
 
0.9%
Other values (73) 6622
 
12.6%
Hangul
ValueCountFrequency (%)
2179
 
2.1%
2151
 
2.1%
1971
 
1.9%
1888
 
1.8%
1751
 
1.7%
1696
 
1.6%
1695
 
1.6%
1609
 
1.6%
1563
 
1.5%
1558
 
1.5%
Other values (926) 84780
82.4%
None
ValueCountFrequency (%)
· 143
82.7%
6
 
3.5%
6
 
3.5%
4
 
2.3%
4
 
2.3%
3
 
1.7%
2
 
1.2%
2
 
1.2%
1
 
0.6%
° 1
 
0.6%
Number Forms
ValueCountFrequency (%)
22
33.8%
16
24.6%
13
20.0%
3
 
4.6%
3
 
4.6%
2
 
3.1%
2
 
3.1%
2
 
3.1%
2
 
3.1%
Punctuation
ValueCountFrequency (%)
8
57.1%
6
42.9%
Compat Jamo
ValueCountFrequency (%)
6
100.0%
CJK
ValueCountFrequency (%)
4
 
8.7%
3
 
6.5%
3
 
6.5%
2
 
4.3%
2
 
4.3%
2
 
4.3%
2
 
4.3%
1
 
2.2%
1
 
2.2%
1
 
2.2%
Other values (25) 25
54.3%
Distinct1259
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size34.5 KiB
2024-04-29T22:01:59.605068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length12.043221
Min length7

Characters and Unicode

Total characters52942
Distinct characters515
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique915 ?
Unique (%)20.8%

Sample

1st row경기연구원(2022)
2nd row경기연구원(2022)
3rd row경기연구원(2022)
4th row경기연구원(2022)
5th row경기연구원(2022)
ValueCountFrequency (%)
경기연구원(2021 156
 
3.4%
경기연구원(2022 144
 
3.2%
경기연구원(2023 112
 
2.5%
경기연구원(2020 96
 
2.1%
한국보건사회연구원(2019 67
 
1.5%
대전세종연구원(2019 66
 
1.4%
서울연구원(2021 60
 
1.3%
한국토지주택공사 53
 
1.2%
한국문화관광연구원(2021 48
 
1.1%
국토연구원(2020 47
 
1.0%
Other values (1317) 3716
81.4%
2024-04-29T22:01:59.939234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8084
15.3%
0 5416
 
10.2%
( 4421
 
8.4%
) 4421
 
8.4%
2691
 
5.1%
2591
 
4.9%
2584
 
4.9%
1 2505
 
4.7%
1028
 
1.9%
957
 
1.8%
Other values (505) 18244
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25202
47.6%
Decimal Number 17630
33.3%
Open Punctuation 4422
 
8.4%
Close Punctuation 4422
 
8.4%
Lowercase Letter 842
 
1.6%
Uppercase Letter 248
 
0.5%
Space Separator 169
 
0.3%
Other Punctuation 5
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2691
 
10.7%
2591
 
10.3%
2584
 
10.3%
1028
 
4.1%
957
 
3.8%
876
 
3.5%
862
 
3.4%
508
 
2.0%
365
 
1.4%
327
 
1.3%
Other values (439) 12413
49.3%
Lowercase Letter
ValueCountFrequency (%)
e 101
12.0%
s 86
10.2%
o 78
 
9.3%
i 69
 
8.2%
r 66
 
7.8%
a 65
 
7.7%
n 57
 
6.8%
t 51
 
6.1%
l 37
 
4.4%
g 35
 
4.2%
Other values (14) 197
23.4%
Uppercase Letter
ValueCountFrequency (%)
P 32
12.9%
S 21
 
8.5%
B 21
 
8.5%
R 20
 
8.1%
K 18
 
7.3%
I 17
 
6.9%
E 15
 
6.0%
O 14
 
5.6%
M 13
 
5.2%
A 13
 
5.2%
Other values (12) 64
25.8%
Decimal Number
ValueCountFrequency (%)
2 8084
45.9%
0 5416
30.7%
1 2505
 
14.2%
9 766
 
4.3%
8 392
 
2.2%
3 328
 
1.9%
4 41
 
0.2%
7 34
 
0.2%
6 34
 
0.2%
5 30
 
0.2%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
# 1
20.0%
? 1
20.0%
· 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 4421
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4421
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26650
50.3%
Hangul 25174
47.6%
Latin 1090
 
2.1%
Han 28
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2691
 
10.7%
2591
 
10.3%
2584
 
10.3%
1028
 
4.1%
957
 
3.8%
876
 
3.5%
862
 
3.4%
508
 
2.0%
365
 
1.4%
327
 
1.3%
Other values (422) 12385
49.2%
Latin
ValueCountFrequency (%)
e 101
 
9.3%
s 86
 
7.9%
o 78
 
7.2%
i 69
 
6.3%
r 66
 
6.1%
a 65
 
6.0%
n 57
 
5.2%
t 51
 
4.7%
l 37
 
3.4%
g 35
 
3.2%
Other values (36) 445
40.8%
Common
ValueCountFrequency (%)
2 8084
30.3%
0 5416
20.3%
( 4421
16.6%
) 4421
16.6%
1 2505
 
9.4%
9 766
 
2.9%
8 392
 
1.5%
3 328
 
1.2%
169
 
0.6%
4 41
 
0.2%
Other values (10) 107
 
0.4%
Han
ValueCountFrequency (%)
6
21.4%
5
17.9%
3
10.7%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
1
 
3.6%
Other values (7) 7
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27739
52.4%
Hangul 25174
47.6%
CJK 27
 
0.1%
None 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8084
29.1%
0 5416
19.5%
( 4421
15.9%
) 4421
15.9%
1 2505
 
9.0%
9 766
 
2.8%
8 392
 
1.4%
3 328
 
1.2%
169
 
0.6%
e 101
 
0.4%
Other values (55) 1136
 
4.1%
Hangul
ValueCountFrequency (%)
2691
 
10.7%
2591
 
10.3%
2584
 
10.3%
1028
 
4.1%
957
 
3.8%
876
 
3.5%
862
 
3.4%
508
 
2.0%
365
 
1.4%
327
 
1.3%
Other values (422) 12385
49.2%
CJK
ValueCountFrequency (%)
6
22.2%
5
18.5%
3
11.1%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (6) 6
22.2%
None
ValueCountFrequency (%)
· 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

입수방법
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.5 KiB
기증
3029 
구입
1345 
<NA>
 
22

Length

Max length4
Median length2
Mean length2.0100091
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기증 3029
68.9%
구입 1345
30.6%
<NA> 22
 
0.5%

Length

2024-04-29T22:02:00.083633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-29T22:02:00.189710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기증 3029
68.9%
구입 1345
30.6%
na 22
 
0.5%

Missing values

2024-04-29T22:01:57.192517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-29T22:01:57.282202image/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

등록번호청구기호서명-저자출판사(출판년)입수방법
0K005148MF22-50 김92임 2022임진강 평화습지원 운영개선 방안 - 김한수경기연구원(2022)기증
1K005149MF22-49 이56한 2022한중 경제교류 30년의 동향과 경기도 정책 방향 - 이수행경기연구원(2022)기증
2K005150MF22-46 문38도 2022도시제조업 생태계와 경기도 정책방향 연구 - 문미성경기연구원(2022)기증
3K005151MFB22-03 유64경 2022경기도 범주형 기본소득 도입 4년차, 기본소득에 대한 시민의식 분석 - 유영성경기연구원(2022)기증
4K005152MF22-52 지66경 2022경기도 공동주택 주차수요 대응방안 연구 - 지우석경기연구원(2022)기증
5K005153MR22-09 김74한 2022한국경제의 국제수지 제약 성장에 관한 연구 - 김정훈경기연구원(2022)기증
6K005154MFB22-04 이54대 2022대전환 시대 주요국 외교전략과 한반도의 미래 : 국가발전 전략의 미래 - 이성우경기연구원(2022)기증
7K005155MF22-43 송74경 2022경기도 대중교통 소외지역 버스 서비스 개선방안 - 송제룡경기연구원(2022)기증
8K005156MR22-11 김66기 2022기초연금이 노인 노동공급에 미치는 영향 분석 - 김윤영경기연구원(2022)기증
9K005157MFB22-06 강84경 2022경기북부지역 수소산업 육성 방안 - 강철구경기연구원(2022)기증
등록번호청구기호서명-저자출판사(출판년)입수방법
4386E055738MP23-13 성12성 2023성남시 도시생태현황지도 갱신사업 - 경기연구원성남시(2023)기증
4387E055739307.324 김16jjamovi 활용 사회과학 데이터분석 : 통계분석의 직관적인 이해와 활용 - 김구윤성사(Yoonseongsa)(2022)구입
4388E055740325.3 김83공(개정)공공기관 인사쟁이 따라하기 : 공공기관 인사업무를 쉽고 이해하기 편하게 알려주는 인사실무 편람 - 김태균휴앤스토리(2023)구입
4389E055741MP23-14 경18경 2023경기도 지역발전지수 분석 및 균형발전정책 추진방향 - 경기연구원경기도 균형발전담당관(2023)기증
4390E055742350.12 김83공공공기관 기획쟁이 따라하기 : 공공기관 기획업무를 쉽고 이해하기 편하게 알려주는 기획실무 편람 - 김태균휴앤스토리(2023)구입
4391E055743310.1 한88패 제4판패널데이터강의 - 한치록박영사(2024)구입
4392E055744005.54 백64알R을 이용한 결측데이터 분석 : 최대우도 및 다중투입 기법을 중심으로 - 백영민한나래(2021)구입
4393E055745MP23-16 한16자 2023자율주행자동차 기업의 해외운행 지원을 위한 제도 개선 방안 - 경기연구원한국교통안전공단 자동차안전연구원(2023)기증
4394E055746MP23-17 화542 20232023년 화성시 조직진단 연구용역 - 경기연구원화성시청 정책기획과(2023)기증
4395E055747MP23-18 안52안 2023안산시 공무원 교육훈련 중장기 기본계획(2024-2028) - 경기연구원안산시청(2023)기증

Duplicate rows

Most frequently occurring

등록번호청구기호서명-저자출판사(출판년)입수방법# duplicates
0E054297MCP-28 경18모 2021모두의 기본소득, 재원을 마련하다 - 경기연구원다할미디어(2021)기증2