Overview

Dataset statistics

Number of variables4
Number of observations212
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory33.6 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description광주광역시 관내 2022년 10월 6일 기준 자동차종합정비업 현황입니다. 정비형태, 상호명, 소재지도로명주소 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15047976/fileData.do

Alerts

정비형태 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:25:37.855854
Analysis finished2023-12-12 17:25:38.326242
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct212
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.5
Minimum1
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-13T02:25:38.408180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.55
Q153.75
median106.5
Q3159.25
95-th percentile201.45
Maximum212
Range211
Interquartile range (IQR)105.5

Descriptive statistics

Standard deviation61.343296
Coefficient of variation (CV)0.57599339
Kurtosis-1.2
Mean106.5
Median Absolute Deviation (MAD)53
Skewness0
Sum22578
Variance3763
MonotonicityStrictly increasing
2023-12-13T02:25:38.566183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
135 1
 
0.5%
137 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
Other values (202) 202
95.3%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
212 1
0.5%
211 1
0.5%
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%
204 1
0.5%
203 1
0.5%

정비형태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
자동차종합정비업
212 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동차종합정비업 212
100.0%

Length

2023-12-13T02:25:39.067600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:25:39.176821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동차종합정비업 212
100.0%

사업자 상호(명칭)
Text

Distinct211
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T02:25:39.473149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15.5
Mean length9.6037736
Min length4

Characters and Unicode

Total characters2036
Distinct characters201
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)99.1%

Sample

1st row(유)한결자동차서비스
2nd row기아㈜광주서비스센타
3rd row하진1급자동차공업사
4th row㈜옥산자동차공업사
5th row상무자동차공업사
ValueCountFrequency (%)
주식회사 6
 
2.5%
유한회사 5
 
2.1%
광주지점 2
 
0.8%
신성자동차(주 2
 
0.8%
진곡현대모터스 1
 
0.4%
성진특장 1
 
0.4%
㈜우리자동차공업사 1
 
0.4%
수완현대정비서비스(주 1
 
0.4%
뉴흑석자동차공업사 1
 
0.4%
주)한국지엠서광주서비스센터 1
 
0.4%
Other values (220) 220
91.3%
2023-12-13T02:25:40.028747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 117
 
5.7%
동 109
 
5.4%
) 101
 
5.0%
차 91
 
4.5%
사 89
 
4.4%
자 89
 
4.4%
스 88
 
4.3%
( 86
 
4.2%
업 72
 
3.5%
비 71
 
3.5%
Other values (191) 1123
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1767
86.8%
Close Punctuation 101
 
5.0%
Open Punctuation 86
 
4.2%
Space Separator 29
 
1.4%
Decimal Number 29
 
1.4%
Other Symbol 18
 
0.9%
Uppercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 117
 
6.6%
동 109
 
6.2%
차 91
 
5.1%
사 89
 
5.0%
자 89
 
5.0%
스 88
 
5.0%
업 72
 
4.1%
비 71
 
4.0%
공 69
 
3.9%
터 46
 
2.6%
Other values (179) 926
52.4%
Uppercase Letter
ValueCountFrequency (%)
N 1
16.7%
G 1
16.7%
V 1
16.7%
Y 1
16.7%
I 1
16.7%
P 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 27
93.1%
2 2
 
6.9%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1785
87.7%
Common 245
 
12.0%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 117
 
6.6%
동 109
 
6.1%
차 91
 
5.1%
사 89
 
5.0%
자 89
 
5.0%
스 88
 
4.9%
업 72
 
4.0%
비 71
 
4.0%
공 69
 
3.9%
터 46
 
2.6%
Other values (180) 944
52.9%
Latin
ValueCountFrequency (%)
N 1
16.7%
G 1
16.7%
V 1
16.7%
Y 1
16.7%
I 1
16.7%
P 1
16.7%
Common
ValueCountFrequency (%)
) 101
41.2%
( 86
35.1%
29
 
11.8%
1 27
 
11.0%
2 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1767
86.8%
ASCII 251
 
12.3%
None 18
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 117
 
6.6%
동 109
 
6.2%
차 91
 
5.1%
사 89
 
5.0%
자 89
 
5.0%
스 88
 
5.0%
업 72
 
4.1%
비 71
 
4.0%
공 69
 
3.9%
터 46
 
2.6%
Other values (179) 926
52.4%
ASCII
ValueCountFrequency (%)
) 101
40.2%
( 86
34.3%
29
 
11.6%
1 27
 
10.8%
2 2
 
0.8%
N 1
 
0.4%
G 1
 
0.4%
V 1
 
0.4%
Y 1
 
0.4%
I 1
 
0.4%
None
ValueCountFrequency (%)
㈜ 18
100.0%

사업자주소
Text

Distinct207
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T02:25:40.459104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length31
Mean length24.476415
Min length15

Characters and Unicode

Total characters5189
Distinct characters141
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)95.3%

Sample

1st row광주광역시 동구 소태길 76
2nd row광주광역시 서구 죽봉대로 36(농성동)
3rd row광주광역시 서구 상무누리로 133(치평동)
4th row광주광역시 서구 풍서우로 178(벽진동)
5th row광주광역시 서구 상무누리로 131(치평동)
ValueCountFrequency (%)
광주광역시 211
24.1%
광산구 107
 
12.2%
남구 50
 
5.7%
북구 29
 
3.3%
서구 24
 
2.7%
송암로24번나길 23
 
2.6%
사암로 17
 
1.9%
동곡로 10
 
1.1%
회재유통길 7
 
0.8%
송암로 6
 
0.7%
Other values (311) 391
44.7%
2023-12-13T02:25:41.103911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
663
 
12.8%
광 529
 
10.2%
동 247
 
4.8%
역 211
 
4.1%
시 211
 
4.1%
구 211
 
4.1%
주 211
 
4.1%
( 204
 
3.9%
) 204
 
3.9%
로 190
 
3.7%
Other values (131) 2308
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3178
61.2%
Decimal Number 844
 
16.3%
Space Separator 663
 
12.8%
Open Punctuation 204
 
3.9%
Close Punctuation 204
 
3.9%
Dash Punctuation 71
 
1.4%
Other Punctuation 22
 
0.4%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 529
16.6%
동 247
 
7.8%
역 211
 
6.6%
시 211
 
6.6%
구 211
 
6.6%
주 211
 
6.6%
로 190
 
6.0%
산 128
 
4.0%
송 106
 
3.3%
길 86
 
2.7%
Other values (113) 1048
33.0%
Decimal Number
ValueCountFrequency (%)
2 153
18.1%
1 138
16.4%
4 91
10.8%
3 83
9.8%
6 77
9.1%
5 75
8.9%
0 64
7.6%
7 64
7.6%
8 58
 
6.9%
9 41
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
D 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
663
100.0%
Open Punctuation
ValueCountFrequency (%)
( 204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3178
61.2%
Common 2008
38.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 529
16.6%
동 247
 
7.8%
역 211
 
6.6%
시 211
 
6.6%
구 211
 
6.6%
주 211
 
6.6%
로 190
 
6.0%
산 128
 
4.0%
송 106
 
3.3%
길 86
 
2.7%
Other values (113) 1048
33.0%
Common
ValueCountFrequency (%)
663
33.0%
( 204
 
10.2%
) 204
 
10.2%
2 153
 
7.6%
1 138
 
6.9%
4 91
 
4.5%
3 83
 
4.1%
6 77
 
3.8%
5 75
 
3.7%
- 71
 
3.5%
Other values (5) 249
 
12.4%
Latin
ValueCountFrequency (%)
B 1
33.3%
D 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3178
61.2%
ASCII 2011
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
663
33.0%
( 204
 
10.1%
) 204
 
10.1%
2 153
 
7.6%
1 138
 
6.9%
4 91
 
4.5%
3 83
 
4.1%
6 77
 
3.8%
5 75
 
3.7%
- 71
 
3.5%
Other values (8) 252
 
12.5%
Hangul
ValueCountFrequency (%)
광 529
16.6%
동 247
 
7.8%
역 211
 
6.6%
시 211
 
6.6%
구 211
 
6.6%
주 211
 
6.6%
로 190
 
6.0%
산 128
 
4.0%
송 106
 
3.3%
길 86
 
2.7%
Other values (113) 1048
33.0%

Interactions

2023-12-13T02:25:38.076746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T02:25:38.201838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:25:38.288850image/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

순번정비형태사업자 상호(명칭)사업자주소
01자동차종합정비업(유)한결자동차서비스광주광역시 동구 소태길 76
12자동차종합정비업기아㈜광주서비스센타광주광역시 서구 죽봉대로 36(농성동)
23자동차종합정비업하진1급자동차공업사광주광역시 서구 상무누리로 133(치평동)
34자동차종합정비업㈜옥산자동차공업사광주광역시 서구 풍서우로 178(벽진동)
45자동차종합정비업상무자동차공업사광주광역시 서구 상무누리로 131(치평동)
56자동차종합정비업현대자동차서광주써비스광주광역시 서구 죽봉대로 9(농성동)
67자동차종합정비업유주종합자동차정비공업사광주광역시 서구 회재유통길 70(매월동)
78자동차종합정비업벽진1급자동차공업사광주광역시 서구 상무대로 624(벽진동)
89자동차종합정비업㈜한솔자동차공업사광주광역시 서구 풍서우로 172(벽진동)
910자동차종합정비업(주)에스케이정비센터광주광역시 서구 풍서우로 170(매월동)
순번정비형태사업자 상호(명칭)사업자주소
202203자동차종합정비업뉴21세기공업사광주광역시 광산구 사암로 764-48(도천동)
203204자동차종합정비업형제모터스(유)광주광역시 광산구 고봉로230번길 10-1(장수동, 4동,5동,6동)
204205자동차종합정비업성진특장광주광역시 광산구 평동영천길 19-10(지죽동)
205206자동차종합정비업진곡현대모터스광주광역시 광산구 고봉로230번길 10-2(장수동)
206207자동차종합정비업에스티모터스광주광역시 광산구 사암로 827-3(도천동)
207208자동차종합정비업신성자동차(주)광주광역시 광산구 임방울대로 565(도천동)
208209자동차종합정비업(주)한국자동차정비광주광역시 광산구 고봉로 228(장수동)
209210자동차종합정비업(유)은주자동차서비스광주광역시 광산구 임방울대로 520(수완동)
210211자동차종합정비업뉴평동글로벌모터스(유)광주광역시 광산구 사암로 836(도천동)
211212자동차종합정비업아성자동차서비스광주광역시 광산구 왕버들로 185(수완동)