Overview

Dataset statistics

Number of variables3
Number of observations166
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory25.8 B

Variable types

Numeric1
Text2

Dataset

Description경기도_고양시_휘발성유기화합물 배출시설 현황에 대한 데이터로 휘발성유기화합물 배출시설명,소재지 등의 항목을 제공합니다.
Author경기도 고양시
URLhttps://www.data.go.kr/data/15055504/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:34:53.150267
Analysis finished2024-04-29 22:34:53.982754
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.5
Minimum1
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-30T07:34:54.054404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.25
Q142.25
median83.5
Q3124.75
95-th percentile157.75
Maximum166
Range165
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation48.064193
Coefficient of variation (CV)0.57561908
Kurtosis-1.2
Mean83.5
Median Absolute Deviation (MAD)41.5
Skewness0
Sum13861
Variance2310.1667
MonotonicityStrictly increasing
2024-04-30T07:34:54.186612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
106 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
Other values (156) 156
94.0%
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 (%)
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%

상호
Text

Distinct161
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T07:34:54.445756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length10.506024
Min length5

Characters and Unicode

Total characters1744
Distinct characters224
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)94.6%

Sample

1st row(주)서울리싸이클링
2nd row육군제1719부대정비대대
3rd row육군 제5733부대
4th row에이치디 현대오일뱅크㈜직영 장항IC셀프주유소
5th row에이치디 현대오일뱅크㈜직영 탄현셀프주유소
ValueCountFrequency (%)
주식회사 8
 
3.1%
육군 6
 
2.3%
㈜ 6
 
2.3%
크린토피아 4
 
1.5%
에이치디 4
 
1.5%
지에스칼텍스 4
 
1.5%
고양휴게소주유소(하행 3
 
1.2%
직영 3
 
1.2%
디오티디 2
 
0.8%
현대오일뱅크(주)직영 2
 
0.8%
Other values (208) 218
83.8%
2024-04-30T07:34:54.848406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 166
 
9.5%
유 155
 
8.9%
소 133
 
7.6%
98
 
5.6%
지 44
 
2.5%
㈜ 43
 
2.5%
에 42
 
2.4%
일 37
 
2.1%
( 34
 
1.9%
) 34
 
1.9%
Other values (214) 958
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1440
82.6%
Space Separator 98
 
5.6%
Decimal Number 59
 
3.4%
Other Symbol 43
 
2.5%
Open Punctuation 34
 
1.9%
Close Punctuation 34
 
1.9%
Uppercase Letter 32
 
1.8%
Lowercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 166
 
11.5%
유 155
 
10.8%
소 133
 
9.2%
지 44
 
3.1%
에 42
 
2.9%
일 37
 
2.6%
대 32
 
2.2%
제 27
 
1.9%
너 26
 
1.8%
이 23
 
1.6%
Other values (184) 755
52.4%
Uppercase Letter
ValueCountFrequency (%)
K 8
25.0%
S 5
15.6%
H 4
12.5%
I 3
 
9.4%
C 2
 
6.2%
L 2
 
6.2%
E 2
 
6.2%
O 2
 
6.2%
R 1
 
3.1%
W 1
 
3.1%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 12
20.3%
7 10
16.9%
3 7
11.9%
2 7
11.9%
0 6
10.2%
8 5
8.5%
9 4
 
6.8%
5 4
 
6.8%
6 3
 
5.1%
4 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
j 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
98
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1483
85.0%
Common 227
 
13.0%
Latin 34
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 166
 
11.2%
유 155
 
10.5%
소 133
 
9.0%
지 44
 
3.0%
㈜ 43
 
2.9%
에 42
 
2.8%
일 37
 
2.5%
대 32
 
2.2%
제 27
 
1.8%
너 26
 
1.8%
Other values (185) 778
52.5%
Common
ValueCountFrequency (%)
98
43.2%
( 34
 
15.0%
) 34
 
15.0%
1 12
 
5.3%
7 10
 
4.4%
3 7
 
3.1%
2 7
 
3.1%
0 6
 
2.6%
8 5
 
2.2%
9 4
 
1.8%
Other values (5) 10
 
4.4%
Latin
ValueCountFrequency (%)
K 8
23.5%
S 5
14.7%
H 4
11.8%
I 3
 
8.8%
C 2
 
5.9%
L 2
 
5.9%
E 2
 
5.9%
O 2
 
5.9%
j 1
 
2.9%
s 1
 
2.9%
Other values (4) 4
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1440
82.6%
ASCII 261
 
15.0%
None 43
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 166
 
11.5%
유 155
 
10.8%
소 133
 
9.2%
지 44
 
3.1%
에 42
 
2.9%
일 37
 
2.6%
대 32
 
2.2%
제 27
 
1.9%
너 26
 
1.8%
이 23
 
1.6%
Other values (184) 755
52.4%
ASCII
ValueCountFrequency (%)
98
37.5%
( 34
 
13.0%
) 34
 
13.0%
1 12
 
4.6%
7 10
 
3.8%
K 8
 
3.1%
3 7
 
2.7%
2 7
 
2.7%
0 6
 
2.3%
S 5
 
1.9%
Other values (19) 40
15.3%
None
ValueCountFrequency (%)
㈜ 43
100.0%

소재지
Text

Distinct165
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-30T07:34:55.053243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length20.849398
Min length15

Characters and Unicode

Total characters3461
Distinct characters118
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

Unique164 ?
Unique (%)98.8%

Sample

1st row고양시 일산동구 성석동 517-5
2nd row고양시 덕양구 화전동 218
3rd row고양시 덕양구 용두동 고양덕양우체국
4th row고양시 일산동구 백마로 56(장항동)
5th row고양시 일산서구 경의로 829(덕이동)
ValueCountFrequency (%)
고양시 166
24.4%
덕양구 86
 
12.7%
일산동구 49
 
7.2%
일산서구 31
 
4.6%
고양대로 15
 
2.2%
호국로 12
 
1.8%
통일로 8
 
1.2%
고봉로 8
 
1.2%
사서함 7
 
1.0%
중앙로 7
 
1.0%
Other values (231) 290
42.7%
2024-04-30T07:34:55.386316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
515
 
14.9%
양 270
 
7.8%
동 212
 
6.1%
고 194
 
5.6%
구 171
 
4.9%
시 166
 
4.8%
1 132
 
3.8%
로 129
 
3.7%
( 125
 
3.6%
) 125
 
3.6%
Other values (108) 1422
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2060
59.5%
Decimal Number 586
 
16.9%
Space Separator 515
 
14.9%
Open Punctuation 125
 
3.6%
Close Punctuation 125
 
3.6%
Dash Punctuation 38
 
1.1%
Other Punctuation 12
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 270
13.1%
동 212
 
10.3%
고 194
 
9.4%
구 171
 
8.3%
시 166
 
8.1%
로 129
 
6.3%
산 112
 
5.4%
덕 109
 
5.3%
일 90
 
4.4%
서 42
 
2.0%
Other values (93) 565
27.4%
Decimal Number
ValueCountFrequency (%)
1 132
22.5%
2 62
10.6%
9 58
9.9%
0 57
9.7%
4 52
 
8.9%
3 50
 
8.5%
8 49
 
8.4%
6 45
 
7.7%
7 42
 
7.2%
5 39
 
6.7%
Space Separator
ValueCountFrequency (%)
515
100.0%
Open Punctuation
ValueCountFrequency (%)
( 125
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2060
59.5%
Common 1401
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 270
13.1%
동 212
 
10.3%
고 194
 
9.4%
구 171
 
8.3%
시 166
 
8.1%
로 129
 
6.3%
산 112
 
5.4%
덕 109
 
5.3%
일 90
 
4.4%
서 42
 
2.0%
Other values (93) 565
27.4%
Common
ValueCountFrequency (%)
515
36.8%
1 132
 
9.4%
( 125
 
8.9%
) 125
 
8.9%
2 62
 
4.4%
9 58
 
4.1%
0 57
 
4.1%
4 52
 
3.7%
3 50
 
3.6%
8 49
 
3.5%
Other values (5) 176
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2060
59.5%
ASCII 1401
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
515
36.8%
1 132
 
9.4%
( 125
 
8.9%
) 125
 
8.9%
2 62
 
4.4%
9 58
 
4.1%
0 57
 
4.1%
4 52
 
3.7%
3 50
 
3.6%
8 49
 
3.5%
Other values (5) 176
 
12.6%
Hangul
ValueCountFrequency (%)
양 270
13.1%
동 212
 
10.3%
고 194
 
9.4%
구 171
 
8.3%
시 166
 
8.1%
로 129
 
6.3%
산 112
 
5.4%
덕 109
 
5.3%
일 90
 
4.4%
서 42
 
2.0%
Other values (93) 565
27.4%

Interactions

2024-04-30T07:34:53.763062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-30T07:34:53.879513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:34:53.951378image/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

연번상호소재지
01(주)서울리싸이클링고양시 일산동구 성석동 517-5
12육군제1719부대정비대대고양시 덕양구 화전동 218
23육군 제5733부대고양시 덕양구 용두동 고양덕양우체국
34에이치디 현대오일뱅크㈜직영 장항IC셀프주유소고양시 일산동구 백마로 56(장항동)
45에이치디 현대오일뱅크㈜직영 탄현셀프주유소고양시 일산서구 경의로 829(덕이동)
56SK에너지(주)백마주유소고양시 일산동구 중앙로 990(백석동)
67서울석유(주) 명성주유소고양시 덕양구 호국로 1628(벽제동)
78목장주유소고양시 덕양구 호국로 932(성사동)
89주식회사 유성주유소 화정점고양시 덕양구 호국로 624(화정동)
910㈜엘프앤코 통일로주유소지점고양시 덕양구 통일로 1020(관산동)
연번상호소재지
156157㈜삼표에너지 삼송주유소고양시 덕양구 신원1로 93(신원동)
157158주식회사크리닝업고양시 덕양구 충경로 96,106호107호108호109호110호111호(행신동,소만빌딩)
158159㈜중흥에너지 한양주유소고양시 덕양구 권율대로 593(원흥동)
159160고양휴게소주유소(상행)고양시 덕양구 수원문산고속도로 51(성사동)
160161고양휴게소주유소(하행)고양시 덕양구 수원문산고속도로 52(성사동)
161162주식회사크리닝업고양시 덕양구 충경로 96,106호107호108호109호110호111호(행신동,소만빌딩)
162163씨앤에스에너지㈜한양주유소고양시 덕양구 원흥동 218
163164고양휴게소주유소(상행)고양시 덕양구 성사동 99-1, 98-20, 98-11, 90-17
164165고양휴게소주유소(하행)고양시 덕양구 성사동 85-7, 87-3, 87-14, 84-2
165166고양휴게소주유소(하행)경기도 고양시 덕양구 수원문산고속도로 52(성사동)