Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory312.5 KiB
Average record size in memory32.0 B

Variable types

Text1
Categorical1
Unsupported1

Dataset

Description서울특별시 공공자전거 따릉이 대여소(다국어) 정보입니다.대여소 정보를 한국어, 영어, 중국어로 제공합니다.
Author서울시설공단
URLhttps://www.data.go.kr/data/15127562/fileData.do

Alerts

대여소명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 23:14:16.122028
Analysis finished2024-04-29 23:14:16.737739
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대여소(ID)
Text

Distinct3259
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-30T08:14:16.993626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.6685
Min length4

Characters and Unicode

Total characters66685
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)1.4%

Sample

1st rowST-749
2nd rowST-3249
3rd rowST-372
4th rowST-3167
5th rowST-2528
ValueCountFrequency (%)
st-749 4
 
< 0.1%
st-1087 4
 
< 0.1%
st-1742 4
 
< 0.1%
st-2522 4
 
< 0.1%
st-725 4
 
< 0.1%
st-2278 4
 
< 0.1%
st-1891 4
 
< 0.1%
st-2568 4
 
< 0.1%
st-2437 4
 
< 0.1%
st-1607 4
 
< 0.1%
Other values (3249) 9960
99.6%
2024-04-30T08:14:17.423494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 10000
15.0%
T 10000
15.0%
- 10000
15.0%
1 6252
9.4%
2 6242
9.4%
3 3835
 
5.8%
5 2948
 
4.4%
0 2939
 
4.4%
9 2912
 
4.4%
6 2903
 
4.4%
Other values (3) 8654
13.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36685
55.0%
Uppercase Letter 20000
30.0%
Dash Punctuation 10000
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6252
17.0%
2 6242
17.0%
3 3835
10.5%
5 2948
8.0%
0 2939
8.0%
9 2912
7.9%
6 2903
7.9%
4 2902
7.9%
8 2893
7.9%
7 2859
7.8%
Uppercase Letter
ValueCountFrequency (%)
S 10000
50.0%
T 10000
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46685
70.0%
Latin 20000
30.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10000
21.4%
1 6252
13.4%
2 6242
13.4%
3 3835
 
8.2%
5 2948
 
6.3%
0 2939
 
6.3%
9 2912
 
6.2%
6 2903
 
6.2%
4 2902
 
6.2%
8 2893
 
6.2%
Latin
ValueCountFrequency (%)
S 10000
50.0%
T 10000
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66685
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 10000
15.0%
T 10000
15.0%
- 10000
15.0%
1 6252
9.4%
2 6242
9.4%
3 3835
 
5.8%
5 2948
 
4.4%
0 2939
 
4.4%
9 2912
 
4.4%
6 2903
 
4.4%
Other values (3) 8654
13.0%

언어구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
중국어
2528 
일본어
2519 
영어
2503 
한국어
2450 

Length

Max length3
Median length3
Mean length2.7497
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일본어
2nd row중국어
3rd row일본어
4th row한국어
5th row영어

Common Values

ValueCountFrequency (%)
중국어 2528
25.3%
일본어 2519
25.2%
영어 2503
25.0%
한국어 2450
24.5%

Length

2024-04-30T08:14:17.566956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:14:17.668123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중국어 2528
25.3%
일본어 2519
25.2%
영어 2503
25.0%
한국어 2450
24.5%

대여소명
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size156.2 KiB

Missing values

2024-04-30T08:14:16.593915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T08:14:16.687194image/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

대여소(ID)언어구분코드대여소명
11949ST-749일본어2217. ソチョ(瑞草)民育センタ(シムサン記念文化センタ)前
9926ST-3249중국어4643. 公寓前面
10290ST-372일본어579. マジャン(馬場)4番出口
9563ST-3167한국어5317. 공릉동 신도1차 아파트 뒤
6741ST-2528영어4202. Front1 (in front of Gongdeok Station (Exit 4))
10670ST-459중국어911. 恩平平和公(村站4出口)
8917ST-3021일본어4248. シンチョン(新村)キョボ(保)ビル
8407ST-2906한국어4825. 신내동 벽산아파트 후문 앞
11839ST-723일본어2137. KT＆Gクァナク(冠岳)支店
3988ST-1905일본어2520.ソチョ(瑞草)クロバタワ前
대여소(ID)언어구분코드대여소명
7365ST-267영어607. Exit 2 of Sinimun Station
7725ST-2751중국어3683. KT&G江分社
1143ST-1260한국어2165. JK장평타워
10069ST-3281일본어6172. カヤン(加陽)5地アパト
8897ST-3017일본어4244. タンインリ電所公園前
11987ST-759영어2229. Across from Logos Church
9784ST-3217영어4339.In front of Kolmar Korea R&D Center
5307ST-2202한국어3117.이화여대 인문관 인근
7263ST-2646중국어4582
2238ST-1509중국어1172. 佳3洞居民中心