Overview

Dataset statistics

Number of variables4
Number of observations79
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory34.7 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description인천광역시 서구에 위치한 폐기물중간재활용 업체 현황에 관한 데이터셋입니다. 인천광역시 서구에 위치한 폐기물중간재활용 업체 현황의 상호, 주소에 관한 정보를 포함하고 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15091255&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
상호 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 10:42:38.780420
Analysis finished2024-01-28 10:42:39.192383
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40
Minimum1
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-01-28T19:42:39.267512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.9
Q120.5
median40
Q359.5
95-th percentile75.1
Maximum79
Range78
Interquartile range (IQR)39

Descriptive statistics

Standard deviation22.949219
Coefficient of variation (CV)0.57373048
Kurtosis-1.2
Mean40
Median Absolute Deviation (MAD)20
Skewness0
Sum3160
Variance526.66667
MonotonicityStrictly increasing
2024-01-28T19:42:39.382675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
2 1
 
1.3%
59 1
 
1.3%
58 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
Other values (69) 69
87.3%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
79 1
1.3%
78 1
1.3%
77 1
1.3%
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%

상호
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-01-28T19:42:39.577916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.9240506
Min length3

Characters and Unicode

Total characters626
Distinct characters144
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

Unique79 ?
Unique (%)100.0%

Sample

1st row(주)에이원에코
2nd row성진산업
3rd row경진철강
4th row(주)케이윤산업
5th row(주)원광에스앤티
ValueCountFrequency (%)
그린에코넥서스(주 2
 
2.4%
주)에이원에코 1
 
1.2%
주)준메탈 1
 
1.2%
제이엔제이산업(주 1
 
1.2%
청룡시스템 1
 
1.2%
한신에스앤드(주 1
 
1.2%
태주수지 1
 
1.2%
광해자원 1
 
1.2%
인천2사업소 1
 
1.2%
장원e.l.t 1
 
1.2%
Other values (74) 74
87.1%
2024-01-28T19:42:39.909076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 62
 
9.9%
) 62
 
9.9%
주 60
 
9.6%
이 23
 
3.7%
인 15
 
2.4%
에 14
 
2.2%
스 13
 
2.1%
업 13
 
2.1%
산 12
 
1.9%
원 11
 
1.8%
Other values (134) 341
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 477
76.2%
Open Punctuation 62
 
9.9%
Close Punctuation 62
 
9.9%
Lowercase Letter 7
 
1.1%
Space Separator 6
 
1.0%
Other Punctuation 5
 
0.8%
Uppercase Letter 5
 
0.8%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 60
 
12.6%
이 23
 
4.8%
인 15
 
3.1%
에 14
 
2.9%
스 13
 
2.7%
업 13
 
2.7%
산 12
 
2.5%
원 11
 
2.3%
리 10
 
2.1%
경 10
 
2.1%
Other values (118) 296
62.1%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
d 2
28.6%
i 1
14.3%
t 1
14.3%
c 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
L 2
40.0%
E 1
20.0%
T 1
20.0%
Y 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 477
76.2%
Common 137
 
21.9%
Latin 12
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 60
 
12.6%
이 23
 
4.8%
인 15
 
3.1%
에 14
 
2.9%
스 13
 
2.7%
업 13
 
2.7%
산 12
 
2.5%
원 11
 
2.3%
리 10
 
2.1%
경 10
 
2.1%
Other values (118) 296
62.1%
Latin
ValueCountFrequency (%)
L 2
16.7%
o 2
16.7%
d 2
16.7%
E 1
8.3%
T 1
8.3%
i 1
8.3%
Y 1
8.3%
t 1
8.3%
c 1
8.3%
Common
ValueCountFrequency (%)
( 62
45.3%
) 62
45.3%
6
 
4.4%
. 4
 
2.9%
2 1
 
0.7%
1 1
 
0.7%
, 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 477
76.2%
ASCII 149
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 62
41.6%
) 62
41.6%
6
 
4.0%
. 4
 
2.7%
L 2
 
1.3%
o 2
 
1.3%
d 2
 
1.3%
2 1
 
0.7%
E 1
 
0.7%
T 1
 
0.7%
Other values (6) 6
 
4.0%
Hangul
ValueCountFrequency (%)
주 60
 
12.6%
이 23
 
4.8%
인 15
 
3.1%
에 14
 
2.9%
스 13
 
2.7%
업 13
 
2.7%
산 12
 
2.5%
원 11
 
2.3%
리 10
 
2.1%
경 10
 
2.1%
Other values (118) 296
62.1%

주소
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-01-28T19:42:40.096412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length41
Mean length26.493671
Min length14

Characters and Unicode

Total characters2093
Distinct characters108
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

Unique79 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 봉수대로1568번길 29(금곡동)
2nd row인천광역시 서구 두루물로 36(오류동)
3rd row인천광역시 서구 길무로 213(오류동)
4th row인천광역시 서구 원당대로 246번길 7(오류동)
5th row인천광역시 서구 봉수대로 183번길 12-1(가좌동)
ValueCountFrequency (%)
인천광역시 79
22.6%
서구 79
22.6%
두루물로 9
 
2.6%
봉수대로1568번길 4
 
1.1%
길무로 4
 
1.1%
원당대로206번길 4
 
1.1%
34(오류동 3
 
0.9%
금산로 3
 
0.9%
두루물로96번길 3
 
0.9%
건지로 2
 
0.6%
Other values (139) 159
45.6%
2024-01-28T19:42:40.364164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
273
 
13.0%
서 91
 
4.3%
천 84
 
4.0%
인 82
 
3.9%
시 81
 
3.9%
로 81
 
3.9%
동 81
 
3.9%
역 79
 
3.8%
광 79
 
3.8%
구 79
 
3.8%
Other values (98) 1083
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1289
61.6%
Decimal Number 342
 
16.3%
Space Separator 273
 
13.0%
Open Punctuation 76
 
3.6%
Close Punctuation 76
 
3.6%
Dash Punctuation 18
 
0.9%
Other Punctuation 14
 
0.7%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 91
 
7.1%
천 84
 
6.5%
인 82
 
6.4%
시 81
 
6.3%
로 81
 
6.3%
동 81
 
6.3%
역 79
 
6.1%
광 79
 
6.1%
구 79
 
6.1%
길 64
 
5.0%
Other values (78) 488
37.9%
Decimal Number
ValueCountFrequency (%)
1 58
17.0%
2 48
14.0%
6 40
11.7%
5 39
11.4%
3 37
10.8%
4 35
10.2%
8 27
7.9%
7 22
 
6.4%
0 19
 
5.6%
9 17
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 75
98.7%
[ 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 75
98.7%
] 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 12
85.7%
: 2
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
A 4
80.0%
B 1
 
20.0%
Space Separator
ValueCountFrequency (%)
273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1289
61.6%
Common 799
38.2%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 91
 
7.1%
천 84
 
6.5%
인 82
 
6.4%
시 81
 
6.3%
로 81
 
6.3%
동 81
 
6.3%
역 79
 
6.1%
광 79
 
6.1%
구 79
 
6.1%
길 64
 
5.0%
Other values (78) 488
37.9%
Common
ValueCountFrequency (%)
273
34.2%
( 75
 
9.4%
) 75
 
9.4%
1 58
 
7.3%
2 48
 
6.0%
6 40
 
5.0%
5 39
 
4.9%
3 37
 
4.6%
4 35
 
4.4%
8 27
 
3.4%
Other values (8) 92
 
11.5%
Latin
ValueCountFrequency (%)
A 4
80.0%
B 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1289
61.6%
ASCII 804
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
273
34.0%
( 75
 
9.3%
) 75
 
9.3%
1 58
 
7.2%
2 48
 
6.0%
6 40
 
5.0%
5 39
 
4.9%
3 37
 
4.6%
4 35
 
4.4%
8 27
 
3.4%
Other values (10) 97
 
12.1%
Hangul
ValueCountFrequency (%)
서 91
 
7.1%
천 84
 
6.5%
인 82
 
6.4%
시 81
 
6.3%
로 81
 
6.3%
동 81
 
6.3%
역 79
 
6.1%
광 79
 
6.1%
구 79
 
6.1%
길 64
 
5.0%
Other values (78) 488
37.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2022-08-31 00:00:00
Maximum2022-08-31 00:00:00
2024-01-28T19:42:40.450618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T19:42:40.520400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T19:42:38.989777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T19:42:40.571110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호주소
연번1.0001.0001.000
상호1.0001.0001.000
주소1.0001.0001.000

Missing values

2024-01-28T19:42:39.100790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:42:39.164313image/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

연번상호주소데이터기준일자
01(주)에이원에코인천광역시 서구 봉수대로1568번길 29(금곡동)2022-08-31
12성진산업인천광역시 서구 두루물로 36(오류동)2022-08-31
23경진철강인천광역시 서구 길무로 213(오류동)2022-08-31
34(주)케이윤산업인천광역시 서구 원당대로 246번길 7(오류동)2022-08-31
45(주)원광에스앤티인천광역시 서구 봉수대로 183번길 12-1(가좌동)2022-08-31
56대신자원개발인천광역시 서구 금산로 92022-08-31
67유창테크인천광역시 서구 검단천로 153(오류동)2022-08-31
78(주)바로텍인천광역시 서구 가현산로46번안길 42 (대곡동)2022-08-31
89(주)이오니아이엔티(인천공장)인천광역시 서구 마중2로 14(오류동)2022-08-31
910(주)태초메탈인천광역시 서구 두루물로 78번길 26(오류동)2022-08-31
연번상호주소데이터기준일자
6970그린에코넥서스(주) 인천1사업소인천광역시 서구 두루물로 90(오류동)2022-08-31
7071(주)다온이엔텍인천광역시 서구 길무로 215(오류동)2022-08-31
7172왕가산업인천광역시 서구 길무로 165번길 102022-08-31
7273(주)성인 인천공장인천광역시 서구 원당대로262번길 17(오류동)2022-08-31
7374(주)부흥환경산업인천광역시 서구 금산로34(경서동)인천서부자원순환특화산업단지 A4-6블럭2022-08-31
7475청라환경개발(주)인천광역시 서구 금산로 15(경서동, 인천서부자원순환특화산업단지 A2-3)2022-08-31
7576부림인더스트리(주)인천광역시 서구 두루물로 96번길 262022-08-31
7677태영상사인천광역시 서구 금산로7번길23(경서동, 서부자원순환특화산업단지 A1블록 7,8로트)2022-08-31
7778(주)장형기업인천광역시 서구 검단천로 203(오류동)2022-08-31
7879(주)엔씨알인천광역시 서구 금산로 35 (경서동 1047-8, 서부자원순환특화단지)2022-08-31