Overview

Dataset statistics

Number of variables5
Number of observations205
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)2.9%
Total size in memory8.5 KiB
Average record size in memory42.6 B

Variable types

Numeric2
Text2
DateTime1

Dataset

Description한국체육산업개발 정보목록 데이터입니다.정보목록 제공 (제목, 파일,조회수 , 등록일 제공)예 : 2022년 3월 정보목록입니다
Author한국체육산업개발주식회사
URLhttps://www.data.go.kr/data/15090255/fileData.do

Alerts

Dataset has 6 (2.9%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 16:59:59.943551
Analysis finished2023-12-12 17:00:01.082777
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순서
Real number (ℝ)

Distinct195
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21882.468
Minimum17151
Maximum74020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T02:00:01.171977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17151
5-th percentile17164.2
Q117204
median17258
Q317308
95-th percentile72793.8
Maximum74020
Range56869
Interquartile range (IQR)104

Descriptive statistics

Standard deviation15452.982
Coefficient of variation (CV)0.70618096
Kurtosis7.3713558
Mean21882.468
Median Absolute Deviation (MAD)52
Skewness3.0488022
Sum4485906
Variance2.3879467 × 108
MonotonicityNot monotonic
2023-12-13T02:00:01.306468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74020 4
 
2.0%
17313 2
 
1.0%
74019 2
 
1.0%
17330 2
 
1.0%
17196 2
 
1.0%
17273 2
 
1.0%
17310 2
 
1.0%
17314 2
 
1.0%
17220 1
 
0.5%
17219 1
 
0.5%
Other values (185) 185
90.2%
ValueCountFrequency (%)
17151 1
0.5%
17152 1
0.5%
17153 1
0.5%
17154 1
0.5%
17155 1
0.5%
17156 1
0.5%
17157 1
0.5%
17160 1
0.5%
17161 1
0.5%
17163 1
0.5%
ValueCountFrequency (%)
74020 4
2.0%
74019 2
1.0%
74018 1
 
0.5%
73597 1
 
0.5%
73378 1
 
0.5%
72920 1
 
0.5%
72794 1
 
0.5%
72793 1
 
0.5%
72792 1
 
0.5%
72791 1
 
0.5%

제목
Text

Distinct199
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T02:00:01.515168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length13.263415
Min length12

Characters and Unicode

Total characters2719
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)94.1%

Sample

1st row 2023년 10월 정보목록
2nd row 2023년 9월 정보목록
3rd row 2023년 8월 정보목록
4th row 2023년 7월 정보목록
5th row 2023년 6월 정보목록
ValueCountFrequency (%)
정보목록 200
32.8%
3월 18
 
3.0%
10월 17
 
2.8%
6월 17
 
2.8%
8월 17
 
2.8%
2월 17
 
2.8%
12월 17
 
2.8%
4월 17
 
2.8%
9월 16
 
2.6%
11월 16
 
2.6%
Other values (25) 258
42.3%
2023-12-13T02:00:01.836604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
413
15.2%
2 310
11.4%
0 280
10.3%
1 232
8.5%
월 205
7.5%
정 205
7.5%
보 205
7.5%
목 205
7.5%
록 205
7.5%
년 205
7.5%
Other values (8) 254
9.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1230
45.2%
Decimal Number 1075
39.5%
Space Separator 413
 
15.2%
Control 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 310
28.8%
0 280
26.0%
1 232
21.6%
8 42
 
3.9%
7 41
 
3.8%
9 41
 
3.8%
3 40
 
3.7%
6 30
 
2.8%
4 30
 
2.8%
5 29
 
2.7%
Other Letter
ValueCountFrequency (%)
월 205
16.7%
정 205
16.7%
보 205
16.7%
목 205
16.7%
록 205
16.7%
년 205
16.7%
Space Separator
ValueCountFrequency (%)
413
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1489
54.8%
Hangul 1230
45.2%

Most frequent character per script

Common
ValueCountFrequency (%)
413
27.7%
2 310
20.8%
0 280
18.8%
1 232
15.6%
8 42
 
2.8%
7 41
 
2.8%
9 41
 
2.8%
3 40
 
2.7%
6 30
 
2.0%
4 30
 
2.0%
Other values (2) 30
 
2.0%
Hangul
ValueCountFrequency (%)
월 205
16.7%
정 205
16.7%
보 205
16.7%
목 205
16.7%
록 205
16.7%
년 205
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1489
54.8%
Hangul 1230
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
413
27.7%
2 310
20.8%
0 280
18.8%
1 232
15.6%
8 42
 
2.8%
7 41
 
2.8%
9 41
 
2.8%
3 40
 
2.7%
6 30
 
2.0%
4 30
 
2.0%
Other values (2) 30
 
2.0%
Hangul
ValueCountFrequency (%)
월 205
16.7%
정 205
16.7%
보 205
16.7%
목 205
16.7%
록 205
16.7%
년 205
16.7%

등록일
Date

Distinct65
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2014-05-26 00:00:00
Maximum2023-11-06 00:00:00
2023-12-13T02:00:01.970509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:00:02.113213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조회수
Real number (ℝ)

Distinct99
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.75122
Minimum8
Maximum2461
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-13T02:00:02.279382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8
Q19
median22
Q3160
95-th percentile858.2
Maximum2461
Range2453
Interquartile range (IQR)151

Descriptive statistics

Standard deviation296.80244
Coefficient of variation (CV)1.8463464
Kurtosis18.186346
Mean160.75122
Median Absolute Deviation (MAD)14
Skewness3.4653382
Sum32954
Variance88091.688
MonotonicityNot monotonic
2023-12-13T02:00:02.457919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 47
22.9%
9 21
 
10.2%
15 6
 
2.9%
14 6
 
2.9%
13 5
 
2.4%
12 4
 
2.0%
10 3
 
1.5%
19 3
 
1.5%
42 3
 
1.5%
92 3
 
1.5%
Other values (89) 104
50.7%
ValueCountFrequency (%)
8 47
22.9%
9 21
10.2%
10 3
 
1.5%
11 1
 
0.5%
12 4
 
2.0%
13 5
 
2.4%
14 6
 
2.9%
15 6
 
2.9%
16 1
 
0.5%
17 2
 
1.0%
ValueCountFrequency (%)
2461 1
0.5%
1012 1
0.5%
1006 1
0.5%
937 1
0.5%
918 1
0.5%
903 1
0.5%
895 1
0.5%
881 1
0.5%
876 1
0.5%
864 1
0.5%

파일경로
Text

Distinct199
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T02:00:02.724959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length83
Mean length83
Min length83

Characters and Unicode

Total characters17015
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique193 ?
Unique (%)94.1%

Sample

1st rowhttps://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=75479&act=view
2nd rowhttps://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=75138&act=view
3rd rowhttps://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=75021&act=view
4th rowhttps://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=74653&act=view
5th rowhttps://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=74426&act=view
ValueCountFrequency (%)
https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17330&act=view 2
 
1.0%
https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17273&act=view 2
 
1.0%
https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17313&act=view 2
 
1.0%
https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17314&act=view 2
 
1.0%
https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17196&act=view 2
 
1.0%
https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17310&act=view 2
 
1.0%
https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17222&act=view 1
 
0.5%
https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17218&act=view 1
 
0.5%
https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17219&act=view 1
 
0.5%
https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17220&act=view 1
 
0.5%
Other values (189) 189
92.2%
2023-12-13T02:00:03.079112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2095
 
12.3%
o 1025
 
6.0%
s 820
 
4.8%
= 820
 
4.8%
w 820
 
4.8%
. 820
 
4.8%
i 820
 
4.8%
t 820
 
4.8%
1 696
 
4.1%
d 615
 
3.6%
Other values (25) 7664
45.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9430
55.4%
Decimal Number 4100
24.1%
Other Punctuation 2460
 
14.5%
Math Symbol 820
 
4.8%
Connector Punctuation 205
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1025
10.9%
s 820
 
8.7%
w 820
 
8.7%
i 820
 
8.7%
t 820
 
8.7%
d 615
 
6.5%
r 615
 
6.5%
a 615
 
6.5%
e 410
 
4.3%
b 410
 
4.3%
Other values (8) 2460
26.1%
Decimal Number
ValueCountFrequency (%)
0 2095
51.1%
1 696
 
17.0%
2 349
 
8.5%
5 251
 
6.1%
7 250
 
6.1%
4 243
 
5.9%
3 90
 
2.2%
9 46
 
1.1%
8 41
 
1.0%
6 39
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 820
33.3%
/ 615
25.0%
& 615
25.0%
? 205
 
8.3%
: 205
 
8.3%
Math Symbol
ValueCountFrequency (%)
= 820
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 205
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9430
55.4%
Common 7585
44.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1025
10.9%
s 820
 
8.7%
w 820
 
8.7%
i 820
 
8.7%
t 820
 
8.7%
d 615
 
6.5%
r 615
 
6.5%
a 615
 
6.5%
e 410
 
4.3%
b 410
 
4.3%
Other values (8) 2460
26.1%
Common
ValueCountFrequency (%)
0 2095
27.6%
= 820
 
10.8%
. 820
 
10.8%
1 696
 
9.2%
/ 615
 
8.1%
& 615
 
8.1%
2 349
 
4.6%
5 251
 
3.3%
7 250
 
3.3%
4 243
 
3.2%
Other values (7) 831
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17015
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2095
 
12.3%
o 1025
 
6.0%
s 820
 
4.8%
= 820
 
4.8%
w 820
 
4.8%
. 820
 
4.8%
i 820
 
4.8%
t 820
 
4.8%
1 696
 
4.1%
d 615
 
3.6%
Other values (25) 7664
45.0%

Interactions

2023-12-13T02:00:00.341353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:00:00.103315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:00:00.787954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:00:00.208551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:00:03.158036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서등록일조회수
순서1.0001.0000.606
등록일1.0001.0000.992
조회수0.6060.9921.000
2023-12-13T02:00:03.242855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서조회수
순서1.0000.180
조회수0.1801.000

Missing values

2023-12-13T02:00:00.905254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:00:01.028389image/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

순서제목등록일조회수파일경로
0740202023년 10월 정보목록2023-11-0648https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=75479&act=view
1740202023년 9월 정보목록2023-10-05115https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=75138&act=view
2740202023년 8월 정보목록2023-09-15127https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=75021&act=view
3740192023년 7월 정보목록2023-08-04291https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=74653&act=view
4740202023년 6월 정보목록2023-07-18160https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=74426&act=view
5740192023년 5월 정보목록2023-06-05528https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=74019&act=view
6740182023년 4월 정보목록2023-05-03806https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=74018&act=view
7735972023년 3월 정보목록2023-04-03278https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=73597&act=view
8733782023년 2월 정보목록2023-03-10210https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=73378&act=view
9729202023년 1월 정보목록2023-02-09306https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=72920&act=view
순서제목등록일조회수파일경로
195171632016년 8월 정보목록2017-03-2215https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17163&act=view
196171612016년 7월 정보목록2016-08-2498https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17161&act=view
197171602016년 6월 정보목록2016-08-2414https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17160&act=view
198171572016년 4월 정보목록2016-08-2415https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17157&act=view
199171562016년 3월 정보목록2016-08-2412https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17156&act=view
200171552016년 2월 정보목록2016-03-2165https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17155&act=view
201171542016년 1월 정보목록2016-03-2118https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17154&act=view
202171532015년 6월 정보목록2015-07-1392https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17153&act=view
203171522015년 5월 정보목록2015-07-13120https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17152&act=view
204171512015년 3월 정보목록2015-04-0142https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17151&act=view

Duplicate rows

Most frequently occurring

순서제목등록일조회수파일경로# duplicates
0171962014년 12월 정보목록2015-02-0260https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17196&act=view2
1172732011년 3월 정보목록2014-05-268https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17273&act=view2
2173102017년 3월 정보목록2018-01-0923https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17310&act=view2
3173132017년 6월 정보목록2018-01-0933https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17313&act=view2
4173142017년 8월 정보목록2018-01-0942https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17314&act=view2
5173302020년 2월 정보목록2020-03-23161https://www.ksponco.or.kr/board.es?mid=a10102000000&bid=0054&list_no=17330&act=view2