Overview

Dataset statistics

Number of variables4
Number of observations218
Missing cells0
Missing cells (%)0.0%
Duplicate rows9
Duplicate rows (%)4.1%
Total size in memory7.2 KiB
Average record size in memory33.6 B

Variable types

Text1
DateTime2
Numeric1

Dataset

Description도시농업을 전시·체험하는 박람회 개최 정보 제공을 통해 도시민의 농업에 대한 이해도를 높이고 도시와 농촌의 상생 계기 마련하고자 합니다.
Author농림수산식품교육문화정보원
URLhttps://www.data.go.kr/data/15123517/fileData.do

Alerts

Dataset has 9 (4.1%) duplicate rowsDuplicates
조회수 has 19 (8.7%) zerosZeros

Reproduction

Analysis started2023-12-12 20:34:22.388924
Analysis finished2023-12-12 20:34:22.795954
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

제목
Text

Distinct125
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T05:34:23.053325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length10.155963
Min length1

Characters and Unicode

Total characters2214
Distinct characters271
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

Unique94 ?
Unique (%)43.1%

Sample

1st row[2020 대한민국 도시농업박람회] _ 그린힐링오피스
2nd row오래전부터 기르는 반려식물
3rd row도시농업
4th row도시농업
5th row도시농업
ValueCountFrequency (%)
도시농업박람회 21
 
3.9%
19
 
3.5%
대한민국 19
 
3.5%
2020 19
 
3.5%
홈가드닝 18
 
3.4%
텃밭 16
 
3.0%
베란다텃밭 15
 
2.8%
도시농업 12
 
2.2%
아빠가 11
 
2.1%
일구시는 11
 
2.1%
Other values (211) 375
70.0%
2023-12-13T05:34:23.499730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
319
 
14.4%
시 66
 
3.0%
도 64
 
2.9%
농 58
 
2.6%
밭 55
 
2.5%
텃 44
 
2.0%
2 40
 
1.8%
업 40
 
1.8%
0 38
 
1.7%
가 35
 
1.6%
Other values (261) 1455
65.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1728
78.0%
Space Separator 319
 
14.4%
Decimal Number 81
 
3.7%
Other Punctuation 25
 
1.1%
Open Punctuation 19
 
0.9%
Close Punctuation 19
 
0.9%
Connector Punctuation 19
 
0.9%
Uppercase Letter 2
 
0.1%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 66
 
3.8%
도 64
 
3.7%
농 58
 
3.4%
밭 55
 
3.2%
텃 44
 
2.5%
업 40
 
2.3%
가 35
 
2.0%
다 34
 
2.0%
한 34
 
2.0%
란 28
 
1.6%
Other values (243) 1270
73.5%
Decimal Number
ValueCountFrequency (%)
2 40
49.4%
0 38
46.9%
4 1
 
1.2%
1 1
 
1.2%
5 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 15
60.0%
! 6
 
24.0%
. 2
 
8.0%
? 1
 
4.0%
& 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
O 1
50.0%
K 1
50.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
319
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 19
100.0%
Close Punctuation
ValueCountFrequency (%)
] 19
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1728
78.0%
Common 482
 
21.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 66
 
3.8%
도 64
 
3.7%
농 58
 
3.4%
밭 55
 
3.2%
텃 44
 
2.5%
업 40
 
2.3%
가 35
 
2.0%
다 34
 
2.0%
한 34
 
2.0%
란 28
 
1.6%
Other values (243) 1270
73.5%
Common
ValueCountFrequency (%)
319
66.2%
2 40
 
8.3%
0 38
 
7.9%
[ 19
 
3.9%
] 19
 
3.9%
_ 19
 
3.9%
, 15
 
3.1%
! 6
 
1.2%
. 2
 
0.4%
4 1
 
0.2%
Other values (4) 4
 
0.8%
Latin
ValueCountFrequency (%)
O 1
25.0%
K 1
25.0%
Ⅱ 1
25.0%
Ⅰ 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1728
78.0%
ASCII 484
 
21.9%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
319
65.9%
2 40
 
8.3%
0 38
 
7.9%
[ 19
 
3.9%
] 19
 
3.9%
_ 19
 
3.9%
, 15
 
3.1%
! 6
 
1.2%
. 2
 
0.4%
O 1
 
0.2%
Other values (6) 6
 
1.2%
Hangul
ValueCountFrequency (%)
시 66
 
3.8%
도 64
 
3.7%
농 58
 
3.4%
밭 55
 
3.2%
텃 44
 
2.5%
업 40
 
2.3%
가 35
 
2.0%
다 34
 
2.0%
한 34
 
2.0%
란 28
 
1.6%
Other values (243) 1270
73.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

등록일
Date

Distinct150
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2021-09-01 17:45:00
Maximum2021-09-08 10:50:00
2023-12-13T05:34:23.631669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:24.044893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수정일
Date

Distinct147
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2021-09-06 18:22:00
Maximum2021-12-03 09:34:00
2023-12-13T05:34:24.205643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:34:24.420830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

조회수
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.76147
Minimum0
Maximum13076
Zeros19
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-13T05:34:24.588044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median7
Q312.75
95-th percentile300.8
Maximum13076
Range13076
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation1187.9079
Coefficient of variation (CV)7.166369
Kurtosis100.4705
Mean165.76147
Median Absolute Deviation (MAD)4
Skewness9.9068071
Sum36136
Variance1411125.1
MonotonicityNot monotonic
2023-12-13T05:34:24.783966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
6 24
 
11.0%
3 22
 
10.1%
8 20
 
9.2%
0 19
 
8.7%
7 16
 
7.3%
5 16
 
7.3%
4 14
 
6.4%
11 9
 
4.1%
9 8
 
3.7%
14 7
 
3.2%
Other values (39) 63
28.9%
ValueCountFrequency (%)
0 19
8.7%
2 4
 
1.8%
3 22
10.1%
4 14
6.4%
5 16
7.3%
6 24
11.0%
7 16
7.3%
8 20
9.2%
9 8
 
3.7%
10 5
 
2.3%
ValueCountFrequency (%)
13076 1
0.5%
11358 1
0.5%
2500 1
0.5%
1744 1
0.5%
1011 1
0.5%
656 1
0.5%
586 1
0.5%
542 1
0.5%
418 1
0.5%
401 1
0.5%

Interactions

2023-12-13T05:34:22.552649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T05:34:22.683510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:34:22.764141image/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

제목등록일수정일조회수
0[2020 대한민국 도시농업박람회] _ 그린힐링오피스2021-09-07 14:302021-09-07 20:490
1오래전부터 기르는 반려식물2021-09-07 15:342021-09-07 15:344
2도시농업2021-09-07 15:352021-09-07 15:3556
3도시농업2021-09-07 15:352021-09-07 15:3558
4도시농업2021-09-07 15:352021-09-07 15:3556
5홈가드닝2021-09-07 15:362021-09-07 15:36126
6소소한 처음 홈가드닝2021-09-07 15:382021-09-07 15:3842
7소소한 처음 홈가드닝2021-09-07 15:382021-09-07 15:3842
8베란다 작은 텃밭2021-09-07 15:402021-09-07 15:40418
9도봉구 에어플랜트 갈란드 만들기2021-09-07 15:422021-09-07 15:428
제목등록일수정일조회수
208집 뒤켠에 있는 작은 공간에서 고추를 심고 있어요2021-09-07 15:312021-09-07 17:289
209집 뒤켠에 있는 작은 공간에서 고추를 심고 있어요2021-09-07 15:312021-09-07 17:286
210베란다에서 쪽파 키워봤어요2021-09-07 15:332021-09-07 15:336
211베란다에서 쪽파 키워봤어요2021-09-07 15:332021-09-07 15:339
212우리집 속 작고 소중한 나의 정원2021-09-08 10:442021-09-08 10:44147
213신혼집 베란다 식물들2021-09-08 10:492021-09-08 10:4918
214못난이 감자 4형제2021-09-08 10:502021-12-03 09:3487
215신혼집 베란다 식물들2021-09-08 10:492021-09-08 10:4926
216우리집 속 작고 소중한 나의 정원2021-09-08 10:442021-09-08 10:44656
217신혼집 베란다 식물들2021-09-08 10:482021-09-08 10:4832

Duplicate rows

Most frequently occurring

제목등록일수정일조회수# duplicates
1도심속 키운사진2021-09-07 15:502021-09-07 15:5043
3아빠가 일구시는 밭2021-09-07 15:452021-09-07 15:4583
0도시농업2021-09-07 15:352021-09-07 15:35562
2소소한 처음 홈가드닝2021-09-07 15:382021-09-07 15:38422
4아빠가 일구시는 밭2021-09-07 15:462021-09-07 15:4682
5옥상텃밭2021-09-08 10:152021-09-08 10:1582
6주말농장2021-09-07 15:472021-09-07 15:4742
7홈가드닝, 베란다텃밭2021-09-07 14:172021-09-07 14:1762
8홈가드닝, 베란다텃밭2021-09-07 15:062021-09-07 15:0662