Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells5
Missing cells (%)< 0.1%
Duplicate rows6
Duplicate rows (%)0.1%
Total size in memory566.4 KiB
Average record size in memory58.0 B

Variable types

Categorical2
Text3
Numeric1

Dataset

Description공공데이터포털에 등록된 파일 데이터의 연도별 (2011년~ 2021년) 다운로드 건수 및 API의 활용신청 건수에 대한 현황을 제공합니다.
Author행정안전부
URLhttps://www.data.go.kr/data/15076332/fileData.do

Alerts

통계연도 has constant value ""Constant
Dataset has 6 (0.1%) duplicate rowsDuplicates
다운로드_활용신청 수 is highly skewed (γ1 = 82.39899333)Skewed

Reproduction

Analysis started2023-12-12 02:03:32.409058
Analysis finished2023-12-12 02:03:35.018886
Duration2.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계연도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 10000
100.0%

Length

2023-12-12T11:03:35.106914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:03:35.250343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 10000
100.0%

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
파일데이터
7229 
오픈API
2771 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row오픈API
2nd row오픈API
3rd row파일데이터
4th row파일데이터
5th row오픈API

Common Values

ValueCountFrequency (%)
파일데이터 7229
72.3%
오픈API 2771
 
27.7%

Length

2023-12-12T11:03:35.383481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:03:35.524009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파일데이터 7229
72.3%
오픈api 2771
 
27.7%

등록기관
Text

Distinct734
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:03:35.885517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length7.5341
Min length3

Characters and Unicode

Total characters75341
Distinct characters300
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

Unique144 ?
Unique (%)1.4%

Sample

1st row여수광양항만공사
2nd row국토교통부 국토지리정보원
3rd row국민권익위원회
4th row국가철도공단
5th row공공데이터활용지원센터
ValueCountFrequency (%)
공공데이터활용지원센터 772
 
5.7%
경기도 697
 
5.2%
인천광역시 592
 
4.4%
서울특별시 532
 
3.9%
경상남도 313
 
2.3%
경상북도 300
 
2.2%
부산광역시 285
 
2.1%
전라남도 269
 
2.0%
서구 249
 
1.8%
대전광역시 235
 
1.7%
Other values (706) 9235
68.5%
2023-12-12T11:03:36.548026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 3693
 
4.9%
3495
 
4.6%
공 3250
 
4.3%
도 3009
 
4.0%
국 2428
 
3.2%
원 2277
 
3.0%
광 2196
 
2.9%
역 1790
 
2.4%
경 1741
 
2.3%
구 1687
 
2.2%
Other values (290) 49775
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71427
94.8%
Space Separator 3495
 
4.6%
Close Punctuation 173
 
0.2%
Open Punctuation 173
 
0.2%
Uppercase Letter 42
 
0.1%
Other Symbol 23
 
< 0.1%
Decimal Number 6
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3693
 
5.2%
공 3250
 
4.6%
도 3009
 
4.2%
국 2428
 
3.4%
원 2277
 
3.2%
광 2196
 
3.1%
역 1790
 
2.5%
경 1741
 
2.4%
구 1687
 
2.4%
터 1633
 
2.3%
Other values (275) 47723
66.8%
Uppercase Letter
ValueCountFrequency (%)
K 11
26.2%
D 8
19.0%
N 8
19.0%
P 3
 
7.1%
E 3
 
7.1%
S 3
 
7.1%
T 3
 
7.1%
I 3
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
8 2
33.3%
Space Separator
ValueCountFrequency (%)
3495
100.0%
Close Punctuation
ValueCountFrequency (%)
) 173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 173
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71450
94.8%
Common 3849
 
5.1%
Latin 42
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3693
 
5.2%
공 3250
 
4.5%
도 3009
 
4.2%
국 2428
 
3.4%
원 2277
 
3.2%
광 2196
 
3.1%
역 1790
 
2.5%
경 1741
 
2.4%
구 1687
 
2.4%
터 1633
 
2.3%
Other values (276) 47746
66.8%
Latin
ValueCountFrequency (%)
K 11
26.2%
D 8
19.0%
N 8
19.0%
P 3
 
7.1%
E 3
 
7.1%
S 3
 
7.1%
T 3
 
7.1%
I 3
 
7.1%
Common
ValueCountFrequency (%)
3495
90.8%
) 173
 
4.5%
( 173
 
4.5%
2 4
 
0.1%
8 2
 
0.1%
. 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71427
94.8%
ASCII 3891
 
5.2%
None 23
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 3693
 
5.2%
공 3250
 
4.6%
도 3009
 
4.2%
국 2428
 
3.4%
원 2277
 
3.2%
광 2196
 
3.1%
역 1790
 
2.5%
경 1741
 
2.4%
구 1687
 
2.4%
터 1633
 
2.3%
Other values (275) 47723
66.8%
ASCII
ValueCountFrequency (%)
3495
89.8%
) 173
 
4.4%
( 173
 
4.4%
K 11
 
0.3%
D 8
 
0.2%
N 8
 
0.2%
2 4
 
0.1%
P 3
 
0.1%
E 3
 
0.1%
S 3
 
0.1%
Other values (4) 10
 
0.3%
None
ValueCountFrequency (%)
㈜ 23
100.0%

목록명
Text

Distinct9125
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T11:03:36.850836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length203
Median length63
Mean length21.2002
Min length7

Characters and Unicode

Total characters212002
Distinct characters869
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8661 ?
Unique (%)86.6%

Sample

1st row여수광양항만공사_출항정보
2nd row국토교통부 국토지리정보원_코드정보서비스
3rd row국민권익위원회_만화로 보는 부정청탁금지법
4th row국가철도공단_수도권2호선_에스컬레이터
5th row경기도 부천시_장례식장 현황
ValueCountFrequency (%)
현황 2130
 
7.5%
정보 797
 
2.8%
경기도 461
 
1.6%
및 407
 
1.4%
인천광역시 381
 
1.3%
서울특별시 280
 
1.0%
서비스 225
 
0.8%
통계 224
 
0.8%
경상남도 221
 
0.8%
경상북도 175
 
0.6%
Other values (13728) 22997
81.3%
2023-12-12T11:03:37.414081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18348
 
8.7%
_ 11639
 
5.5%
시 5224
 
2.5%
도 4165
 
2.0%
정 4088
 
1.9%
현 3908
 
1.8%
보 3895
 
1.8%
황 3882
 
1.8%
국 3840
 
1.8%
공 3080
 
1.5%
Other values (859) 149933
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 175032
82.6%
Space Separator 18349
 
8.7%
Connector Punctuation 11639
 
5.5%
Uppercase Letter 2188
 
1.0%
Decimal Number 1362
 
0.6%
Close Punctuation 1127
 
0.5%
Open Punctuation 1126
 
0.5%
Lowercase Letter 719
 
0.3%
Other Punctuation 263
 
0.1%
Dash Punctuation 143
 
0.1%
Other values (7) 54
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5224
 
3.0%
도 4165
 
2.4%
정 4088
 
2.3%
현 3908
 
2.2%
보 3895
 
2.2%
황 3882
 
2.2%
국 3840
 
2.2%
공 3080
 
1.8%
전 2991
 
1.7%
기 2892
 
1.7%
Other values (764) 137067
78.3%
Lowercase Letter
ValueCountFrequency (%)
e 80
11.1%
n 68
 
9.5%
a 63
 
8.8%
o 55
 
7.6%
s 50
 
7.0%
t 49
 
6.8%
i 49
 
6.8%
u 40
 
5.6%
r 38
 
5.3%
l 36
 
5.0%
Other values (16) 191
26.6%
Uppercase Letter
ValueCountFrequency (%)
I 249
11.4%
P 211
 
9.6%
S 188
 
8.6%
C 162
 
7.4%
A 162
 
7.4%
D 142
 
6.5%
R 141
 
6.4%
T 125
 
5.7%
K 94
 
4.3%
B 92
 
4.2%
Other values (15) 622
28.4%
Other Punctuation
ValueCountFrequency (%)
/ 75
28.5%
, 73
27.8%
· 46
17.5%
. 28
 
10.6%
: 19
 
7.2%
& 11
 
4.2%
… 4
 
1.5%
‧ 2
 
0.8%
? 2
 
0.8%
' 1
 
0.4%
Other values (2) 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 376
27.6%
2 267
19.6%
0 249
18.3%
3 101
 
7.4%
9 98
 
7.2%
5 78
 
5.7%
6 60
 
4.4%
4 59
 
4.3%
7 44
 
3.2%
8 30
 
2.2%
Math Symbol
ValueCountFrequency (%)
~ 7
53.8%
∙ 4
30.8%
+ 1
 
7.7%
→ 1
 
7.7%
Letter Number
ValueCountFrequency (%)
Ⅳ 2
50.0%
Ⅶ 1
25.0%
Ⅱ 1
25.0%
Space Separator
ValueCountFrequency (%)
18348
> 99.9%
  1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1089
96.6%
] 38
 
3.4%
Open Punctuation
ValueCountFrequency (%)
( 1088
96.6%
[ 38
 
3.4%
Other Symbol
ValueCountFrequency (%)
㈜ 25
86.2%
◆ 4
 
13.8%
Format
ValueCountFrequency (%)
­ 2
66.7%
​ 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 11639
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174983
82.5%
Common 34034
 
16.1%
Latin 2911
 
1.4%
Han 74
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5224
 
3.0%
도 4165
 
2.4%
정 4088
 
2.3%
현 3908
 
2.2%
보 3895
 
2.2%
황 3882
 
2.2%
국 3840
 
2.2%
공 3080
 
1.8%
전 2991
 
1.7%
기 2892
 
1.7%
Other values (716) 137018
78.3%
Latin
ValueCountFrequency (%)
I 249
 
8.6%
P 211
 
7.2%
S 188
 
6.5%
C 162
 
5.6%
A 162
 
5.6%
D 142
 
4.9%
R 141
 
4.8%
T 125
 
4.3%
K 94
 
3.2%
B 92
 
3.2%
Other values (44) 1345
46.2%
Han
ValueCountFrequency (%)
集 8
 
10.8%
皐 7
 
9.5%
月 5
 
6.8%
歌 4
 
5.4%
農 3
 
4.1%
夫 2
 
2.7%
瀟 2
 
2.7%
山 2
 
2.7%
思 1
 
1.4%
復 1
 
1.4%
Other values (39) 39
52.7%
Common
ValueCountFrequency (%)
18348
53.9%
_ 11639
34.2%
) 1089
 
3.2%
( 1088
 
3.2%
1 376
 
1.1%
2 267
 
0.8%
0 249
 
0.7%
- 143
 
0.4%
3 101
 
0.3%
9 98
 
0.3%
Other values (30) 636
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174955
82.5%
ASCII 36873
 
17.4%
None 74
 
< 0.1%
CJK 73
 
< 0.1%
Punctuation 10
 
< 0.1%
Geometric Shapes 4
 
< 0.1%
Math Operators 4
 
< 0.1%
Number Forms 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18348
49.8%
_ 11639
31.6%
) 1089
 
3.0%
( 1088
 
3.0%
1 376
 
1.0%
2 267
 
0.7%
0 249
 
0.7%
I 249
 
0.7%
P 211
 
0.6%
S 188
 
0.5%
Other values (70) 3169
 
8.6%
Hangul
ValueCountFrequency (%)
시 5224
 
3.0%
도 4165
 
2.4%
정 4088
 
2.3%
현 3908
 
2.2%
보 3895
 
2.2%
황 3882
 
2.2%
국 3840
 
2.2%
공 3080
 
1.8%
전 2991
 
1.7%
기 2892
 
1.7%
Other values (714) 136990
78.3%
None
ValueCountFrequency (%)
· 46
62.2%
㈜ 25
33.8%
­ 2
 
2.7%
  1
 
1.4%
CJK
ValueCountFrequency (%)
集 8
 
11.0%
皐 7
 
9.6%
月 5
 
6.8%
歌 4
 
5.5%
農 3
 
4.1%
夫 2
 
2.7%
瀟 2
 
2.7%
山 2
 
2.7%
思 1
 
1.4%
復 1
 
1.4%
Other values (38) 38
52.1%
Geometric Shapes
ValueCountFrequency (%)
◆ 4
100.0%
Punctuation
ValueCountFrequency (%)
… 4
40.0%
‧ 2
20.0%
‘ 2
20.0%
’ 1
 
10.0%
​ 1
 
10.0%
Math Operators
ValueCountFrequency (%)
∙ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅳ 2
50.0%
Ⅶ 1
25.0%
Ⅱ 1
25.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
蓮 1
100.0%

데이터명
Text

Distinct9962
Distinct (%)99.7%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-12T11:03:37.802425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length212
Median length69
Mean length28.205803
Min length1

Characters and Unicode

Total characters281917
Distinct characters884
Distinct categories17 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9929 ?
Unique (%)99.3%

Sample

1st row출항정보
2nd row국토지리정보원 코드정보서비스
3rd row국민권익위원회_만화로 보는 부정청탁금지법_20171231
4th row국가철도공단_수도권2호선_에스컬레이터_20220927
5th row경기도 부천시_장례식장 현황
ValueCountFrequency (%)
현황 447
 
1.6%
및 411
 
1.4%
인천광역시 381
 
1.3%
경기도 377
 
1.3%
서울특별시 261
 
0.9%
경상남도 218
 
0.8%
정보 207
 
0.7%
조회 165
 
0.6%
경상북도 162
 
0.6%
전라남도 152
 
0.5%
Other values (16639) 25732
90.2%
2023-12-12T11:03:38.411486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 23630
 
8.4%
_ 19510
 
6.9%
18559
 
6.6%
0 17628
 
6.3%
1 12675
 
4.5%
시 5459
 
1.9%
도 4174
 
1.5%
정 4036
 
1.4%
현 3902
 
1.4%
황 3875
 
1.4%
Other values (874) 168469
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171183
60.7%
Decimal Number 66071
 
23.4%
Connector Punctuation 19510
 
6.9%
Space Separator 18564
 
6.6%
Uppercase Letter 2291
 
0.8%
Open Punctuation 1278
 
0.5%
Close Punctuation 1274
 
0.5%
Other Punctuation 792
 
0.3%
Lowercase Letter 728
 
0.3%
Dash Punctuation 158
 
0.1%
Other values (7) 68
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 5459
 
3.2%
도 4174
 
2.4%
정 4036
 
2.4%
현 3902
 
2.3%
황 3875
 
2.3%
보 3838
 
2.2%
국 3219
 
1.9%
공 2930
 
1.7%
기 2733
 
1.6%
사 2722
 
1.6%
Other values (779) 134295
78.5%
Lowercase Letter
ValueCountFrequency (%)
e 84
11.5%
n 70
 
9.6%
a 63
 
8.7%
o 56
 
7.7%
s 51
 
7.0%
i 48
 
6.6%
t 46
 
6.3%
u 40
 
5.5%
r 39
 
5.4%
l 37
 
5.1%
Other values (16) 194
26.6%
Uppercase Letter
ValueCountFrequency (%)
I 274
12.0%
P 232
 
10.1%
S 190
 
8.3%
A 185
 
8.1%
C 162
 
7.1%
R 146
 
6.4%
D 143
 
6.2%
T 129
 
5.6%
K 103
 
4.5%
B 101
 
4.4%
Other values (15) 626
27.3%
Other Punctuation
ValueCountFrequency (%)
/ 534
67.4%
, 86
 
10.9%
. 68
 
8.6%
· 48
 
6.1%
: 24
 
3.0%
& 13
 
1.6%
# 5
 
0.6%
‧ 5
 
0.6%
… 4
 
0.5%
' 3
 
0.4%
Other values (2) 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 23630
35.8%
0 17628
26.7%
1 12675
19.2%
3 3620
 
5.5%
9 2349
 
3.6%
8 1771
 
2.7%
6 1289
 
2.0%
7 1183
 
1.8%
4 970
 
1.5%
5 956
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 20
76.9%
∙ 4
 
15.4%
+ 1
 
3.8%
→ 1
 
3.8%
Letter Number
ValueCountFrequency (%)
Ⅳ 2
50.0%
Ⅶ 1
25.0%
Ⅱ 1
25.0%
Space Separator
ValueCountFrequency (%)
18559
> 99.9%
  5
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 1233
96.5%
[ 45
 
3.5%
Close Punctuation
ValueCountFrequency (%)
) 1229
96.5%
] 45
 
3.5%
Other Symbol
ValueCountFrequency (%)
㈜ 25
86.2%
◆ 4
 
13.8%
Format
ValueCountFrequency (%)
­ 2
66.7%
​ 1
33.3%
Connector Punctuation
ValueCountFrequency (%)
_ 19510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171123
60.7%
Common 107686
38.2%
Latin 3023
 
1.1%
Han 85
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 5459
 
3.2%
도 4174
 
2.4%
정 4036
 
2.4%
현 3902
 
2.3%
황 3875
 
2.3%
보 3838
 
2.2%
국 3219
 
1.9%
공 2930
 
1.7%
기 2733
 
1.6%
사 2722
 
1.6%
Other values (717) 134235
78.4%
Han
ValueCountFrequency (%)
集 6
 
7.1%
山 5
 
5.9%
歌 4
 
4.7%
農 3
 
3.5%
稿 2
 
2.4%
遺 2
 
2.4%
瀟 2
 
2.4%
皐 2
 
2.4%
庵 2
 
2.4%
夫 2
 
2.4%
Other values (53) 55
64.7%
Latin
ValueCountFrequency (%)
I 274
 
9.1%
P 232
 
7.7%
S 190
 
6.3%
A 185
 
6.1%
C 162
 
5.4%
R 146
 
4.8%
D 143
 
4.7%
T 129
 
4.3%
K 103
 
3.4%
B 101
 
3.3%
Other values (44) 1358
44.9%
Common
ValueCountFrequency (%)
2 23630
21.9%
_ 19510
18.1%
18559
17.2%
0 17628
16.4%
1 12675
11.8%
3 3620
 
3.4%
9 2349
 
2.2%
8 1771
 
1.6%
6 1289
 
1.2%
( 1233
 
1.1%
Other values (30) 5422
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171095
60.7%
ASCII 110628
39.2%
CJK 84
 
< 0.1%
None 80
 
< 0.1%
Punctuation 13
 
< 0.1%
Math Operators 4
 
< 0.1%
Geometric Shapes 4
 
< 0.1%
Number Forms 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 23630
21.4%
_ 19510
17.6%
18559
16.8%
0 17628
15.9%
1 12675
11.5%
3 3620
 
3.3%
9 2349
 
2.1%
8 1771
 
1.6%
6 1289
 
1.2%
( 1233
 
1.1%
Other values (70) 8364
 
7.6%
Hangul
ValueCountFrequency (%)
시 5459
 
3.2%
도 4174
 
2.4%
정 4036
 
2.4%
현 3902
 
2.3%
황 3875
 
2.3%
보 3838
 
2.2%
국 3219
 
1.9%
공 2930
 
1.7%
기 2733
 
1.6%
사 2722
 
1.6%
Other values (715) 134207
78.4%
None
ValueCountFrequency (%)
· 48
60.0%
㈜ 25
31.2%
  5
 
6.2%
­ 2
 
2.5%
CJK
ValueCountFrequency (%)
集 6
 
7.1%
山 5
 
6.0%
歌 4
 
4.8%
農 3
 
3.6%
稿 2
 
2.4%
遺 2
 
2.4%
瀟 2
 
2.4%
皐 2
 
2.4%
庵 2
 
2.4%
夫 2
 
2.4%
Other values (52) 54
64.3%
Punctuation
ValueCountFrequency (%)
‧ 5
38.5%
… 4
30.8%
‘ 2
 
15.4%
’ 1
 
7.7%
​ 1
 
7.7%
Math Operators
ValueCountFrequency (%)
∙ 4
100.0%
Geometric Shapes
ValueCountFrequency (%)
◆ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅳ 2
50.0%
Ⅶ 1
25.0%
Ⅱ 1
25.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
蓮 1
100.0%

다운로드_활용신청 수
Real number (ℝ)

SKEWED 

Distinct816
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.3307
Minimum1
Maximum55020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T11:03:38.653316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median31
Q396
95-th percentile578.1
Maximum55020
Range55019
Interquartile range (IQR)88

Descriptive statistics

Standard deviation586.274
Coefficient of variation (CV)5.2660587
Kurtosis7697.4724
Mean111.3307
Median Absolute Deviation (MAD)28
Skewness82.398993
Sum1113307
Variance343717.21
MonotonicityNot monotonic
2023-12-12T11:03:38.846593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 756
 
7.6%
2 424
 
4.2%
3 313
 
3.1%
4 260
 
2.6%
5 253
 
2.5%
7 222
 
2.2%
6 213
 
2.1%
8 179
 
1.8%
12 153
 
1.5%
10 142
 
1.4%
Other values (806) 7085
70.9%
ValueCountFrequency (%)
1 756
7.6%
2 424
4.2%
3 313
3.1%
4 260
 
2.6%
5 253
 
2.5%
6 213
 
2.1%
7 222
 
2.2%
8 179
 
1.8%
9 139
 
1.4%
10 142
 
1.4%
ValueCountFrequency (%)
55020 1
< 0.1%
4619 1
< 0.1%
4263 1
< 0.1%
3082 1
< 0.1%
2427 1
< 0.1%
2258 1
< 0.1%
2207 1
< 0.1%
2100 1
< 0.1%
2092 1
< 0.1%
2003 1
< 0.1%

Interactions

2023-12-12T11:03:34.569731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:03:38.995909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분다운로드_활용신청 수
구분1.0000.000
다운로드_활용신청 수0.0001.000
2023-12-12T11:03:39.130331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
다운로드_활용신청 수구분
다운로드_활용신청 수1.0000.000
구분0.0001.000

Missing values

2023-12-12T11:03:34.746014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:03:34.931403image/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

통계연도구분등록기관목록명데이터명다운로드_활용신청 수
91972022오픈API여수광양항만공사여수광양항만공사_출항정보출항정보2
123372022오픈API국토교통부 국토지리정보원국토교통부 국토지리정보원_코드정보서비스국토지리정보원 코드정보서비스3
488922022파일데이터국민권익위원회국민권익위원회_만화로 보는 부정청탁금지법국민권익위원회_만화로 보는 부정청탁금지법_2017123130
533372022파일데이터국가철도공단국가철도공단_수도권2호선_에스컬레이터국가철도공단_수도권2호선_에스컬레이터_2022092780
146142022오픈API공공데이터활용지원센터경기도 부천시_장례식장 현황경기도 부천시_장례식장 현황1
1302022오픈API경상남도 남해군경상남도 남해군_낚시터현황_일문 조회 서비스경상남도 남해군_낚시터현황_일문 조회 서비스_202212161
155762022오픈API서울특별시농수산식품공사서울특별시농수산식품공사_품목별등급별가격(도매시장법인거래)서울특별시농수산식품공사_품목별등급별가격(도매시장법인거래)_2021011437
125832022오픈API전라남도전라남도_지역별 주간예보 데이터전라남도_지역별 주간예보 데이터_2020121511
318152022파일데이터경상남도 거창군전국노인장애인보호구역표준데이터경상남도_거창군_노인장애인보호구역5
62432022오픈API경기도 광명시경기도 광명시_장례지도사 교육기관 현황광명시 장례지도사 교육기관 현황10
통계연도구분등록기관목록명데이터명다운로드_활용신청 수
510682022파일데이터대전교통공사대전교통공사_에스컬레이터 설치현황대전광역시도시철도공사_에스컬레이터 설치현황_2019090130
68232022오픈API공공데이터활용지원센터한국교통안전공단_버스정보시스템(BIS)_버스정류소정보한국교통안전공단_버스정보시스템(BIS)_버스정류소정보9
104682022오픈API공공데이터활용지원센터인천광역시_공영주차장 정보인천광역시_공영주차장 정보1
126832022오픈API공공데이터활용지원센터주택도시보증공사_전국 신규 민간아파트 분양가격 동향주택도시보증공사_전국 신규 민간아파트 분양가격 동향7
428182022파일데이터인천광역시 옹진군인천광역시 옹진군_하수도 보급현황인천광역시 옹진군_하수도 보급현황_2022062038
382562022파일데이터한국가스안전공사한국가스안전공사_사내벤쳐현황한국가스안전공사_사내벤쳐현황_2020092837
152482022오픈API인천광역시 미추홀구인천광역시 미추홀구_경로당 현황 API인천광역시 미추홀구_경로당 현황 API_202112164
521542022파일데이터광주광역시 광산구광주광역시_광산구_지역아동센터 현황광주광역시_광산구_지역아동센터 현황_20211231105
565752022파일데이터한국공항공사한국공항공사_공항 계류장 및 주차장 정보한국공항공사_공항 계류장 및 주차장 정보_20210910142
90642022오픈API대구광역시 북구대구광역시 북구_동별 장애인연금지급현황대구광역시 북구_동별 장애인연금지급현황_202111232

Duplicate rows

Most frequently occurring

통계연도구분등록기관목록명데이터명다운로드_활용신청 수# duplicates
02022오픈API공공데이터활용지원센터건강보험심사평가원_병원급이상 진료과목별 상병 통계건강보험심사평가원_병원급이상 진료과목별 상병 통계12
12022오픈API공공데이터활용지원센터건강보험심사평가원_시도별 행위 통계건강보험심사평가원_시도별 행위 통계12
22022오픈API공공데이터활용지원센터국립암센터_흡연 및 금연 정보국립암센터_흡연 및 금연 정보12
32022오픈API공공데이터활용지원센터부산교통공사_시간대별 승하차인원부산교통공사_시간대별 승하차인원22
42022오픈API인천광역시인천광역시_국토계획/기타기반시설인천광역시_국토계획/기타기반시설_2018091132
52022오픈API인천광역시인천광역시_산지관리/보전준보전산지인천광역시_산지관리/보전준보전산지_2018091172