Overview

Dataset statistics

Number of variables3
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory27.5 B

Variable types

Numeric1
Text2

Dataset

Description사업장폐기물제2호신고내역에대한데어터로(순번,상호,사업장도로명주소)항목을제공하오니참고하시기바랍니다.
Author경상북도 성주군
URLhttps://www.data.go.kr/data/15060227/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:38:09.580217
Analysis finished2023-12-11 23:38:10.438447
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.5
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T08:38:10.544981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.55
Q113.75
median26.5
Q339.25
95-th percentile49.45
Maximum52
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.57187763
Kurtosis-1.2
Mean26.5
Median Absolute Deviation (MAD)13
Skewness0
Sum1378
Variance229.66667
MonotonicityStrictly increasing
2023-12-12T08:38:10.701909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
28 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%
43 1
1.9%

상호
Text

Distinct50
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T08:38:10.948692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14.5
Mean length7.8076923
Min length2

Characters and Unicode

Total characters406
Distinct characters126
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)94.2%

Sample

1st row신성에스앤티(주)성주지점
2nd row(주)동양테크
3rd row성주군청
4th row(의)덕수의료재단 성주효병원
5th row공단수지
ValueCountFrequency (%)
성주군청 3
 
4.8%
주식회사 2
 
3.2%
성주지점 2
 
3.2%
매일자동차재활용 1
 
1.6%
대호 1
 
1.6%
대서산업(주 1
 
1.6%
주)지엠앤에스 1
 
1.6%
채훈환경 1
 
1.6%
청우산업 1
 
1.6%
허용호(개인 1
 
1.6%
Other values (48) 48
77.4%
2023-12-12T08:38:11.322985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 38
 
9.4%
( 28
 
6.9%
) 28
 
6.9%
업 14
 
3.4%
성 12
 
3.0%
산 10
 
2.5%
대 10
 
2.5%
10
 
2.5%
경 9
 
2.2%
지 9
 
2.2%
Other values (116) 238
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
81.3%
Open Punctuation 28
 
6.9%
Close Punctuation 28
 
6.9%
Space Separator 10
 
2.5%
Uppercase Letter 10
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 38
 
11.5%
업 14
 
4.2%
성 12
 
3.6%
산 10
 
3.0%
대 10
 
3.0%
경 9
 
2.7%
지 9
 
2.7%
스 8
 
2.4%
에 7
 
2.1%
원 6
 
1.8%
Other values (104) 207
62.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
20.0%
C 1
10.0%
P 1
10.0%
T 1
10.0%
R 1
10.0%
D 1
10.0%
I 1
10.0%
A 1
10.0%
J 1
10.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
81.3%
Common 66
 
16.3%
Latin 10
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 38
 
11.5%
업 14
 
4.2%
성 12
 
3.6%
산 10
 
3.0%
대 10
 
3.0%
경 9
 
2.7%
지 9
 
2.7%
스 8
 
2.4%
에 7
 
2.1%
원 6
 
1.8%
Other values (104) 207
62.7%
Latin
ValueCountFrequency (%)
S 2
20.0%
C 1
10.0%
P 1
10.0%
T 1
10.0%
R 1
10.0%
D 1
10.0%
I 1
10.0%
A 1
10.0%
J 1
10.0%
Common
ValueCountFrequency (%)
( 28
42.4%
) 28
42.4%
10
 
15.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
81.3%
ASCII 76
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 38
 
11.5%
업 14
 
4.2%
성 12
 
3.6%
산 10
 
3.0%
대 10
 
3.0%
경 9
 
2.7%
지 9
 
2.7%
스 8
 
2.4%
에 7
 
2.1%
원 6
 
1.8%
Other values (104) 207
62.7%
ASCII
ValueCountFrequency (%)
( 28
36.8%
) 28
36.8%
10
 
13.2%
S 2
 
2.6%
C 1
 
1.3%
P 1
 
1.3%
T 1
 
1.3%
R 1
 
1.3%
D 1
 
1.3%
I 1
 
1.3%
Other values (2) 2
 
2.6%

사업장도로명주소
Text

Distinct50
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T08:38:11.631255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length31
Mean length24.076923
Min length19

Characters and Unicode

Total characters1252
Distinct characters101
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

Unique48 ?
Unique (%)92.3%

Sample

1st row경상북도 성주군 성주읍 성주산업단지로5길 49
2nd row경상북도 성주군 용암면 운용로 954
3rd row경상북도 성주군 성주읍 성주로 3200
4th row경상북도 성주군 성주읍 성주순환로 239
5th row경상북도 성주군 선남면 선노로 55-31
ValueCountFrequency (%)
경상북도 51
18.7%
성주군 51
18.7%
선남면 15
 
5.5%
성주읍 13
 
4.8%
월항면 11
 
4.0%
용암면 6
 
2.2%
선노로 5
 
1.8%
나선로 4
 
1.5%
주천로 4
 
1.5%
성주로 3
 
1.1%
Other values (97) 110
40.3%
2023-12-12T08:38:12.054734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
17.7%
주 84
 
6.7%
성 76
 
6.1%
도 54
 
4.3%
경 52
 
4.2%
북 52
 
4.2%
군 51
 
4.1%
상 51
 
4.1%
면 38
 
3.0%
2 33
 
2.6%
Other values (91) 540
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 775
61.9%
Space Separator 221
 
17.7%
Decimal Number 193
 
15.4%
Dash Punctuation 23
 
1.8%
Close Punctuation 16
 
1.3%
Open Punctuation 16
 
1.3%
Uppercase Letter 5
 
0.4%
Connector Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 84
 
10.8%
성 76
 
9.8%
도 54
 
7.0%
경 52
 
6.7%
북 52
 
6.7%
군 51
 
6.6%
상 51
 
6.6%
면 38
 
4.9%
로 31
 
4.0%
선 25
 
3.2%
Other values (71) 261
33.7%
Decimal Number
ValueCountFrequency (%)
2 33
17.1%
1 30
15.5%
3 24
12.4%
4 22
11.4%
8 17
8.8%
5 15
7.8%
9 15
7.8%
6 14
7.3%
0 12
 
6.2%
7 11
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
P 1
20.0%
R 1
20.0%
C 1
20.0%
G 1
20.0%
M 1
20.0%
Space Separator
ValueCountFrequency (%)
221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 775
61.9%
Common 472
37.7%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 84
 
10.8%
성 76
 
9.8%
도 54
 
7.0%
경 52
 
6.7%
북 52
 
6.7%
군 51
 
6.6%
상 51
 
6.6%
면 38
 
4.9%
로 31
 
4.0%
선 25
 
3.2%
Other values (71) 261
33.7%
Common
ValueCountFrequency (%)
221
46.8%
2 33
 
7.0%
1 30
 
6.4%
3 24
 
5.1%
- 23
 
4.9%
4 22
 
4.7%
8 17
 
3.6%
) 16
 
3.4%
( 16
 
3.4%
5 15
 
3.2%
Other values (5) 55
 
11.7%
Latin
ValueCountFrequency (%)
P 1
20.0%
R 1
20.0%
C 1
20.0%
G 1
20.0%
M 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 775
61.9%
ASCII 477
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
46.3%
2 33
 
6.9%
1 30
 
6.3%
3 24
 
5.0%
- 23
 
4.8%
4 22
 
4.6%
8 17
 
3.6%
) 16
 
3.4%
( 16
 
3.4%
5 15
 
3.1%
Other values (10) 60
 
12.6%
Hangul
ValueCountFrequency (%)
주 84
 
10.8%
성 76
 
9.8%
도 54
 
7.0%
경 52
 
6.7%
북 52
 
6.7%
군 51
 
6.6%
상 51
 
6.6%
면 38
 
4.9%
로 31
 
4.0%
선 25
 
3.2%
Other values (71) 261
33.7%

Interactions

2023-12-12T08:38:09.880730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:38:12.163052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상호사업장도로명주소
순번1.0000.8870.982
상호0.8871.0000.999
사업장도로명주소0.9820.9991.000

Missing values

2023-12-12T08:38:10.313218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:38:10.403088image/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

순번상호사업장도로명주소
01신성에스앤티(주)성주지점경상북도 성주군 성주읍 성주산업단지로5길 49
12(주)동양테크경상북도 성주군 용암면 운용로 954
23성주군청경상북도 성주군 성주읍 성주로 3200
34(의)덕수의료재단 성주효병원경상북도 성주군 성주읍 성주순환로 239
45공단수지경상북도 성주군 선남면 선노로 55-31
56대경효의료소비자생활협동조합 대경요양병원경상북도 성주군 선남면 도성3길 39-20
67성주경대요양병원경상북도 성주군 성주읍 주산로 81
78가야의료재단(가야요양병원)경상북도 성주군 성주읍 주산로 183
89(주)유승경상북도 성주군 초전면 초전공단길 47
910(주)대경건업 성주지점경상북도 성주군 월항면 월항지방공단길 27
순번상호사업장도로명주소
4243(주)광덕철강산업경상북도 성주군 선남면 나선로 987-42 (원광정밀)
4344(주)대교종합철강경상북도 성주군 선남면 나선로 987-42 (원광정밀)
4445(주)경영산업경상북도 성주군 월항면 월항지방공단길 18 (경영석재)
4546(주)카패밀리 성주지점경상북도 성주군 선남면 선노로 474 ((주)케이스리하이테크)
4647(주)럭키산업경상북도 성주군 월항면 대산2길 22-62 (럭키산업)
4748(주)모아경상북도 성주군 선남면 문방공단길 83 ((주)모아)
4849삼성RS에너지경상북도 성주군 용암면 사곡공단2길 156
4950(주)진광산업경상북도 성주군 용암면 성암로 1086-4
5051대서산업(주)경상북도 성주군 용암면 사곡2길 139
5152한국포장산업경상북도 성주군 선남면 선노로 182