Overview

Dataset statistics

Number of variables6
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory52.7 B

Variable types

Numeric1
Text2
Categorical3

Dataset

Description광주광역시 남구 관내의 대기배출시설 현황(사업장명, 업종, 종, 주소) 정보를 제공합니다. 더욱 자세한 정보는 해당 부서로 연락 부탁드립니다.
Author광주광역시 남구
URLhttps://www.data.go.kr/data/15082020/fileData.do

Alerts

데이터기준일 has constant value ""Constant
번호 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:44:00.648123
Analysis finished2023-12-12 19:44:01.176805
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.5
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2023-12-13T04:44:01.260832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.75
Q19.75
median18.5
Q327.25
95-th percentile34.25
Maximum36
Range35
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.535654
Coefficient of variation (CV)0.5694948
Kurtosis-1.2
Mean18.5
Median Absolute Deviation (MAD)9
Skewness0
Sum666
Variance111
MonotonicityStrictly increasing
2023-12-13T04:44:01.402200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 1
 
2.8%
20 1
 
2.8%
22 1
 
2.8%
23 1
 
2.8%
24 1
 
2.8%
25 1
 
2.8%
26 1
 
2.8%
27 1
 
2.8%
28 1
 
2.8%
29 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
1 1
2.8%
2 1
2.8%
3 1
2.8%
4 1
2.8%
5 1
2.8%
6 1
2.8%
7 1
2.8%
8 1
2.8%
9 1
2.8%
10 1
2.8%
ValueCountFrequency (%)
36 1
2.8%
35 1
2.8%
34 1
2.8%
33 1
2.8%
32 1
2.8%
31 1
2.8%
30 1
2.8%
29 1
2.8%
28 1
2.8%
27 1
2.8%

사업장명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T04:44:01.683626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length9.3055556
Min length4

Characters and Unicode

Total characters335
Distinct characters125
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

Unique36 ?
Unique (%)100.0%

Sample

1st row㈜동양자동차공업사
2nd row쌍용자동차광주정비사업소㈜
3rd row동신자동차공업사
4th row삼성자동차공업사
5th row(유)블루자동차공업사
ValueCountFrequency (%)
㈜ 2
 
4.3%
㈜동양자동차공업사 1
 
2.2%
태양환경산업㈜ 1
 
2.2%
부일산업 1
 
2.2%
세영운수(유 1
 
2.2%
호남 1
 
2.2%
성주환경 1
 
2.2%
테슬라코리아(유 1
 
2.2%
재단법인 1
 
2.2%
광주광역시 1
 
2.2%
Other values (35) 35
76.1%
2023-12-13T04:44:02.131413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 14
 
4.2%
12
 
3.6%
동 12
 
3.6%
㈜ 11
 
3.3%
사 11
 
3.3%
광 11
 
3.3%
자 10
 
3.0%
차 10
 
3.0%
학 10
 
3.0%
주 10
 
3.0%
Other values (115) 224
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 292
87.2%
Space Separator 12
 
3.6%
Other Symbol 11
 
3.3%
Open Punctuation 7
 
2.1%
Close Punctuation 7
 
2.1%
Decimal Number 3
 
0.9%
Uppercase Letter 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 14
 
4.8%
동 12
 
4.1%
사 11
 
3.8%
광 11
 
3.8%
자 10
 
3.4%
차 10
 
3.4%
학 10
 
3.4%
주 10
 
3.4%
공 9
 
3.1%
원 7
 
2.4%
Other values (107) 188
64.4%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
G 1
33.3%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Decimal Number
ValueCountFrequency (%)
1 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
90.4%
Common 29
 
8.7%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 14
 
4.6%
동 12
 
4.0%
㈜ 11
 
3.6%
사 11
 
3.6%
광 11
 
3.6%
자 10
 
3.3%
차 10
 
3.3%
학 10
 
3.3%
주 10
 
3.3%
공 9
 
3.0%
Other values (108) 195
64.4%
Common
ValueCountFrequency (%)
12
41.4%
( 7
24.1%
) 7
24.1%
1 3
 
10.3%
Latin
ValueCountFrequency (%)
L 1
33.3%
G 1
33.3%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 292
87.2%
ASCII 32
 
9.6%
None 11
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 14
 
4.8%
동 12
 
4.1%
사 11
 
3.8%
광 11
 
3.8%
자 10
 
3.4%
차 10
 
3.4%
학 10
 
3.4%
주 10
 
3.4%
공 9
 
3.1%
원 7
 
2.4%
Other values (107) 188
64.4%
ASCII
ValueCountFrequency (%)
12
37.5%
( 7
21.9%
) 7
21.9%
1 3
 
9.4%
L 1
 
3.1%
G 1
 
3.1%
F 1
 
3.1%
None
ValueCountFrequency (%)
㈜ 11
100.0%

사업장업종
Categorical

Distinct17
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
자동차정비업
18 
보건업
2 
대학교
2 
석탄가공
 
1
체력단련시설 운영업
 
1
Other values (12)
12 

Length

Max length11
Median length6
Mean length5.7222222
Min length2

Unique

Unique14 ?
Unique (%)38.9%

Sample

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

Common Values

ValueCountFrequency (%)
자동차정비업 18
50.0%
보건업 2
 
5.6%
대학교 2
 
5.6%
석탄가공 1
 
2.8%
체력단련시설 운영업 1
 
2.8%
교육연구 및 복지시설 1
 
2.8%
연구시설 1
 
2.8%
목재가공 1
 
2.8%
농업 1
 
2.8%
발전시설 1
 
2.8%
Other values (7) 7
 
19.4%

Length

2023-12-13T04:44:02.336992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차정비업 18
42.9%
대학교 2
 
4.8%
운영업 2
 
4.8%
보건업 2
 
4.8%
곡물가공업 1
 
2.4%
폐기물처리업 1
 
2.4%
공연시설 1
 
2.4%
일반병원 1
 
2.4%
연1차제련및정련업 1
 
2.4%
종합소매업 1
 
2.4%
Other values (12) 12
28.6%

종별
Categorical

Distinct2
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size420.0 B
5종
23 
4종
13 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5종
2nd row5종
3rd row5종
4th row5종
5th row5종

Common Values

ValueCountFrequency (%)
5종 23
63.9%
4종 13
36.1%

Length

2023-12-13T04:44:02.586928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:02.757487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 23
63.9%
4종 13
36.1%

주소
Text

Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2023-12-13T04:44:03.028832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length23.555556
Min length19

Characters and Unicode

Total characters848
Distinct characters64
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)94.4%

Sample

1st row광주광역시 남구 송암로 102 (송하동)
2nd row광주광역시 남구 서문대로499번길 26 (송하동)
3rd row광주광역시 남구 송암로 110 (송하동)
4th row광주광역시 남구 송암로24번나길 14-19 (송하동)
5th row광주광역시 남구 서문대로473번길 8-10 (송하동)
ValueCountFrequency (%)
광주광역시 36
22.0%
남구 36
22.0%
송하동 14
 
8.5%
송암로 5
 
3.0%
송암로24번길 4
 
2.4%
서문대로 4
 
2.4%
26 3
 
1.8%
서문대로473번길 3
 
1.8%
봉선로 2
 
1.2%
송암로24번나길 2
 
1.2%
Other values (54) 55
33.5%
2023-12-13T04:44:03.550931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
 
15.2%
광 72
 
8.5%
남 39
 
4.6%
주 38
 
4.5%
시 37
 
4.4%
역 36
 
4.2%
구 36
 
4.2%
로 32
 
3.8%
동 32
 
3.8%
( 31
 
3.7%
Other values (54) 366
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 505
59.6%
Decimal Number 142
 
16.7%
Space Separator 129
 
15.2%
Open Punctuation 31
 
3.7%
Close Punctuation 31
 
3.7%
Dash Punctuation 10
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 72
14.3%
남 39
 
7.7%
주 38
 
7.5%
시 37
 
7.3%
역 36
 
7.1%
구 36
 
7.1%
로 32
 
6.3%
동 32
 
6.3%
송 31
 
6.1%
길 20
 
4.0%
Other values (40) 132
26.1%
Decimal Number
ValueCountFrequency (%)
1 26
18.3%
4 22
15.5%
2 20
14.1%
3 13
9.2%
7 13
9.2%
0 12
8.5%
8 10
 
7.0%
6 10
 
7.0%
9 8
 
5.6%
5 8
 
5.6%
Space Separator
ValueCountFrequency (%)
129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 505
59.6%
Common 343
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 72
14.3%
남 39
 
7.7%
주 38
 
7.5%
시 37
 
7.3%
역 36
 
7.1%
구 36
 
7.1%
로 32
 
6.3%
동 32
 
6.3%
송 31
 
6.1%
길 20
 
4.0%
Other values (40) 132
26.1%
Common
ValueCountFrequency (%)
129
37.6%
( 31
 
9.0%
) 31
 
9.0%
1 26
 
7.6%
4 22
 
6.4%
2 20
 
5.8%
3 13
 
3.8%
7 13
 
3.8%
0 12
 
3.5%
8 10
 
2.9%
Other values (4) 36
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 505
59.6%
ASCII 343
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
37.6%
( 31
 
9.0%
) 31
 
9.0%
1 26
 
7.6%
4 22
 
6.4%
2 20
 
5.8%
3 13
 
3.8%
7 13
 
3.8%
0 12
 
3.5%
8 10
 
2.9%
Other values (4) 36
 
10.5%
Hangul
ValueCountFrequency (%)
광 72
14.3%
남 39
 
7.7%
주 38
 
7.5%
시 37
 
7.3%
역 36
 
7.1%
구 36
 
7.1%
로 32
 
6.3%
동 32
 
6.3%
송 31
 
6.1%
길 20
 
4.0%
Other values (40) 132
26.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
2022-05-27
36 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-05-27
2nd row2022-05-27
3rd row2022-05-27
4th row2022-05-27
5th row2022-05-27

Common Values

ValueCountFrequency (%)
2022-05-27 36
100.0%

Length

2023-12-13T04:44:03.745859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:44:03.873548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-05-27 36
100.0%

Interactions

2023-12-13T04:44:00.906400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:44:03.955984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사업장명사업장업종종별주소
번호1.0001.0000.4630.0000.926
사업장명1.0001.0001.0001.0001.000
사업장업종0.4631.0001.0000.3681.000
종별0.0001.0000.3681.0001.000
주소0.9261.0001.0001.0001.000
2023-12-13T04:44:04.078320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장업종종별
사업장업종1.0000.222
종별0.2221.000
2023-12-13T04:44:04.196044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사업장업종종별
번호1.0000.1940.000
사업장업종0.1941.0000.222
종별0.0000.2221.000

Missing values

2023-12-13T04:44:01.023707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:44:01.135652image/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

번호사업장명사업장업종종별주소데이터기준일
01㈜동양자동차공업사자동차정비업5종광주광역시 남구 송암로 102 (송하동)2022-05-27
12쌍용자동차광주정비사업소㈜자동차정비업5종광주광역시 남구 서문대로499번길 26 (송하동)2022-05-27
23동신자동차공업사자동차정비업5종광주광역시 남구 송암로 110 (송하동)2022-05-27
34삼성자동차공업사자동차정비업5종광주광역시 남구 송암로24번나길 14-19 (송하동)2022-05-27
45(유)블루자동차공업사자동차정비업5종광주광역시 남구 서문대로473번길 8-10 (송하동)2022-05-27
56한국지엠㈜광주서비스센터자동차정비업5종광주광역시 남구 송암로24번길 62 (송하동)2022-05-27
671급대원자동차정비공업사자동차정비업4종광주광역시 남구 송암로58번길 482022-05-27
78신세계공업사자동차정비업5종광주광역시 남구 송암로24번가길 39 (송하동)2022-05-27
89㈜일광1급정비공장자동차정비업5종광주광역시 남구 송암로24번길 20 (송하동)2022-05-27
910쌍용자동차하나로자동차정비업4종광주광역시 남구 서문대로 721 (진월동)2022-05-27
번호사업장명사업장업종종별주소데이터기준일
2627(유)호남자동차공업사자동차정비업5종광주광역시 남구 송암로24번길 26 (송하동)2022-05-27
2728테슬라코리아(유)자동차정비업5종광주광역시 남구 서문대로 517번길 132022-05-27
2829파낙스에너지(주) 광주LFG발전소발전시설4종광주광역시 남구 도동길 160 (양과동)2022-05-27
2930㈜이마트 봉선점기타 대형 종합소매업5종광주광역시 남구 봉선로 198(봉선동)2022-05-27
3031(유)그린메탈연1차제련및정련업4종광주광역시 남구 서문대로473번길 8-13(송하동)2022-05-27
3132(학교법인 원광학원)원광대학교보건업4종광주광역시 남구 회재로 1140-23(주월동)2022-05-27
3233빛고을전남대학교병원보건업4종광주광역시 남구 덕남길 80(노대동)2022-05-27
3334씨티재활의학과 요양병원일반병원5종광주광역시 남구 입하길 12-1(송하동)2022-05-27
3435재단법인 광주광역시 광주문화재단공연시설 운영업5종광주광역시 남구 천변좌로 338번길 7(빛고을시민문화관)2022-05-27
3536숭의과학기술고등학교부동산업5종광주광역시 남구 오방로 34-13(방림동)2022-05-27