Overview

Dataset statistics

Number of variables7
Number of observations162
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory58.8 B

Variable types

Numeric1
Text3
Categorical1
DateTime2

Dataset

Description광주광역시 광산구 관내에 위치한 대기가스 배출관련 업소 현황(업종, 업체명, 주소, 배출량 단위(종), 등록일자, 데이터기준일자)을 제공합니다.
URLhttps://www.data.go.kr/data/15032227/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:26:38.024617
Analysis finished2023-12-12 14:26:38.678711
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.5
Minimum1
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T23:26:38.760102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.05
Q141.25
median81.5
Q3121.75
95-th percentile153.95
Maximum162
Range161
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation46.909487
Coefficient of variation (CV)0.57557653
Kurtosis-1.2
Mean81.5
Median Absolute Deviation (MAD)40.5
Skewness0
Sum13203
Variance2200.5
MonotonicityStrictly increasing
2023-12-12T23:26:38.910873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
123 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
Other values (152) 152
93.8%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%

업종
Text

Distinct58
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:26:39.109487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length43
Mean length14.820988
Min length3

Characters and Unicode

Total characters2401
Distinct characters129
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)27.2%

Sample

1st row시멘트석회 및 플라스터제품 제조업
2nd row비금속광물제품제조(시멘트,석회)
3rd row기타금속제품제조가공
4th row레미콘제조업
5th row자동차종합수리업(95211)
ValueCountFrequency (%)
자동차종합수리업(95211 81
32.9%
및 12
 
4.9%
외 11
 
4.5%
폐기물처리업(38210 9
 
3.7%
지정 9
 
3.7%
부동산 6
 
2.4%
건설폐기물 5
 
2.0%
기타 5
 
2.0%
제조업 4
 
1.6%
자동차종합수리업 3
 
1.2%
Other values (85) 101
41.1%
2023-12-12T23:26:39.477182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 202
 
8.4%
업 156
 
6.5%
2 130
 
5.4%
) 128
 
5.3%
( 128
 
5.3%
리 107
 
4.5%
차 95
 
4.0%
동 95
 
4.0%
9 92
 
3.8%
자 91
 
3.8%
Other values (119) 1177
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1433
59.7%
Decimal Number 620
25.8%
Close Punctuation 128
 
5.3%
Open Punctuation 128
 
5.3%
Space Separator 84
 
3.5%
Other Punctuation 4
 
0.2%
Math Symbol 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 156
 
10.9%
리 107
 
7.5%
차 95
 
6.6%
동 95
 
6.6%
자 91
 
6.4%
합 90
 
6.3%
종 89
 
6.2%
수 85
 
5.9%
기 36
 
2.5%
제 35
 
2.4%
Other values (104) 554
38.7%
Decimal Number
ValueCountFrequency (%)
1 202
32.6%
2 130
21.0%
9 92
14.8%
5 84
13.5%
3 40
 
6.5%
0 36
 
5.8%
8 22
 
3.5%
6 6
 
1.0%
4 5
 
0.8%
7 3
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1433
59.7%
Common 968
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 156
 
10.9%
리 107
 
7.5%
차 95
 
6.6%
동 95
 
6.6%
자 91
 
6.4%
합 90
 
6.3%
종 89
 
6.2%
수 85
 
5.9%
기 36
 
2.5%
제 35
 
2.4%
Other values (104) 554
38.7%
Common
ValueCountFrequency (%)
1 202
20.9%
2 130
13.4%
) 128
13.2%
( 128
13.2%
9 92
9.5%
5 84
8.7%
84
8.7%
3 40
 
4.1%
0 36
 
3.7%
8 22
 
2.3%
Other values (5) 22
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1433
59.7%
ASCII 968
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 202
20.9%
2 130
13.4%
) 128
13.2%
( 128
13.2%
9 92
9.5%
5 84
8.7%
84
8.7%
3 40
 
4.1%
0 36
 
3.7%
8 22
 
2.3%
Other values (5) 22
 
2.3%
Hangul
ValueCountFrequency (%)
업 156
 
10.9%
리 107
 
7.5%
차 95
 
6.6%
동 95
 
6.6%
자 91
 
6.4%
합 90
 
6.3%
종 89
 
6.2%
수 85
 
5.9%
기 36
 
2.5%
제 35
 
2.4%
Other values (104) 554
38.7%

업체명
Text

UNIQUE 

Distinct162
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:26:39.739450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length8.2654321
Min length3

Characters and Unicode

Total characters1339
Distinct characters247
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)100.0%

Sample

1st row㈜삼표시멘트 광주사업소
2nd row㈜남도
3rd row㈜원영금속
4th row현대개발㈜
5th row㈜진왕자동차공업사
ValueCountFrequency (%)
주식회사 6
 
3.1%
유한회사 5
 
2.6%
광주지점 3
 
1.5%
은주자동차서비스 2
 
1.0%
㈜삼표시멘트 1
 
0.5%
대흥전기 1
 
0.5%
㈜대한자동차공업사 1
 
0.5%
극동 1
 
0.5%
오토모빌스 1
 
0.5%
㈜에이치알씨 1
 
0.5%
Other values (173) 173
88.7%
2023-12-12T23:26:40.115758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 64
 
4.8%
스 57
 
4.3%
사 46
 
3.4%
동 46
 
3.4%
업 41
 
3.1%
자 37
 
2.8%
비 37
 
2.8%
차 36
 
2.7%
공 34
 
2.5%
주 34
 
2.5%
Other values (237) 907
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1197
89.4%
Other Symbol 64
 
4.8%
Space Separator 33
 
2.5%
Decimal Number 13
 
1.0%
Open Punctuation 11
 
0.8%
Close Punctuation 11
 
0.8%
Uppercase Letter 8
 
0.6%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 57
 
4.8%
사 46
 
3.8%
동 46
 
3.8%
업 41
 
3.4%
자 37
 
3.1%
비 37
 
3.1%
차 36
 
3.0%
공 34
 
2.8%
주 34
 
2.8%
대 27
 
2.3%
Other values (221) 802
67.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
12.5%
N 1
12.5%
P 1
12.5%
C 1
12.5%
K 1
12.5%
H 1
12.5%
T 1
12.5%
D 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 11
84.6%
3 1
 
7.7%
2 1
 
7.7%
Other Symbol
ValueCountFrequency (%)
㈜ 64
100.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1261
94.2%
Common 70
 
5.2%
Latin 8
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 64
 
5.1%
스 57
 
4.5%
사 46
 
3.6%
동 46
 
3.6%
업 41
 
3.3%
자 37
 
2.9%
비 37
 
2.9%
차 36
 
2.9%
공 34
 
2.7%
주 34
 
2.7%
Other values (222) 829
65.7%
Latin
ValueCountFrequency (%)
G 1
12.5%
N 1
12.5%
P 1
12.5%
C 1
12.5%
K 1
12.5%
H 1
12.5%
T 1
12.5%
D 1
12.5%
Common
ValueCountFrequency (%)
33
47.1%
( 11
 
15.7%
1 11
 
15.7%
) 11
 
15.7%
& 2
 
2.9%
3 1
 
1.4%
2 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1197
89.4%
ASCII 78
 
5.8%
None 64
 
4.8%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 64
100.0%
Hangul
ValueCountFrequency (%)
스 57
 
4.8%
사 46
 
3.8%
동 46
 
3.8%
업 41
 
3.4%
자 37
 
3.1%
비 37
 
3.1%
차 36
 
3.0%
공 34
 
2.8%
주 34
 
2.8%
대 27
 
2.3%
Other values (221) 802
67.0%
ASCII
ValueCountFrequency (%)
33
42.3%
( 11
 
14.1%
1 11
 
14.1%
) 11
 
14.1%
& 2
 
2.6%
3 1
 
1.3%
G 1
 
1.3%
N 1
 
1.3%
2 1
 
1.3%
P 1
 
1.3%
Other values (5) 5
 
6.4%

주소
Text

Distinct161
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T23:26:40.431687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28.5
Mean length24.87037
Min length15

Characters and Unicode

Total characters4029
Distinct characters106
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)98.8%

Sample

1st row광주광역시 광산구 목련로 298 (신가동)
2nd row광주광역시 광산구 임곡로 794 (도천동)
3rd row광주광역시 광산구 소촌로123번길 21 (소촌동)
4th row광주광역시 광산구 풍영정길 201 (신창동)
5th row광주광역시 광산구 소촌로152번길 53-20 (소촌동)
ValueCountFrequency (%)
광주광역시 162
21.9%
광산구 162
21.9%
사암로 23
 
3.1%
도천동 20
 
2.7%
동곡로 10
 
1.4%
평동산단외로 10
 
1.4%
북문대로 10
 
1.4%
신창동 8
 
1.1%
지죽동 7
 
0.9%
소촌동 7
 
0.9%
Other values (236) 320
43.3%
2023-12-12T23:26:40.840764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
577
 
14.3%
광 488
 
12.1%
동 201
 
5.0%
산 185
 
4.6%
역 162
 
4.0%
시 162
 
4.0%
구 162
 
4.0%
주 162
 
4.0%
) 159
 
3.9%
( 159
 
3.9%
Other values (96) 1612
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2432
60.4%
Decimal Number 623
 
15.5%
Space Separator 577
 
14.3%
Close Punctuation 159
 
3.9%
Open Punctuation 159
 
3.9%
Dash Punctuation 73
 
1.8%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 488
20.1%
동 201
 
8.3%
산 185
 
7.6%
역 162
 
6.7%
시 162
 
6.7%
구 162
 
6.7%
주 162
 
6.7%
로 123
 
5.1%
길 65
 
2.7%
도 43
 
1.8%
Other values (81) 679
27.9%
Decimal Number
ValueCountFrequency (%)
1 114
18.3%
2 101
16.2%
3 73
11.7%
6 57
9.1%
7 51
8.2%
0 49
7.9%
5 48
7.7%
8 47
7.5%
4 47
7.5%
9 36
 
5.8%
Space Separator
ValueCountFrequency (%)
577
100.0%
Close Punctuation
ValueCountFrequency (%)
) 159
100.0%
Open Punctuation
ValueCountFrequency (%)
( 159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2432
60.4%
Common 1597
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 488
20.1%
동 201
 
8.3%
산 185
 
7.6%
역 162
 
6.7%
시 162
 
6.7%
구 162
 
6.7%
주 162
 
6.7%
로 123
 
5.1%
길 65
 
2.7%
도 43
 
1.8%
Other values (81) 679
27.9%
Common
ValueCountFrequency (%)
577
36.1%
) 159
 
10.0%
( 159
 
10.0%
1 114
 
7.1%
2 101
 
6.3%
3 73
 
4.6%
- 73
 
4.6%
6 57
 
3.6%
7 51
 
3.2%
0 49
 
3.1%
Other values (5) 184
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2432
60.4%
ASCII 1597
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
577
36.1%
) 159
 
10.0%
( 159
 
10.0%
1 114
 
7.1%
2 101
 
6.3%
3 73
 
4.6%
- 73
 
4.6%
6 57
 
3.6%
7 51
 
3.2%
0 49
 
3.1%
Other values (5) 184
 
11.5%
Hangul
ValueCountFrequency (%)
광 488
20.1%
동 201
 
8.3%
산 185
 
7.6%
역 162
 
6.7%
시 162
 
6.7%
구 162
 
6.7%
주 162
 
6.7%
로 123
 
5.1%
길 65
 
2.7%
도 43
 
1.8%
Other values (81) 679
27.9%

배출량단위(종)
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
5
96 
4
66 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row5
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
5 96
59.3%
4 66
40.7%

Length

2023-12-12T23:26:40.987720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:26:41.099713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 96
59.3%
4 66
40.7%

등록일자
Date

Distinct157
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1986-04-11 00:00:00
Maximum2022-10-17 00:00:00
2023-12-12T23:26:41.206656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:26:41.347317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T23:26:41.457070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:26:41.553616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T23:26:38.352183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:26:41.631138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종배출량단위(종)
연번1.0000.6230.326
업종0.6231.0000.000
배출량단위(종)0.3260.0001.000
2023-12-12T23:26:41.714095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번배출량단위(종)
연번1.0000.243
배출량단위(종)0.2431.000

Missing values

2023-12-12T23:26:38.517482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:26:38.632739image/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

연번업종업체명주소배출량단위(종)등록일자데이터기준일자
01시멘트석회 및 플라스터제품 제조업㈜삼표시멘트 광주사업소광주광역시 광산구 목련로 298 (신가동)41986-04-112022-12-31
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