Overview

Dataset statistics

Number of variables6
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory50.3 B

Variable types

Numeric1
Categorical3
Text2

Dataset

Description대구광역시 관내에 플라스틱류(폐합성수지)를 취급하여 재활용 하는 업체(중간재활용, 종합재활용) 현황입니다.(업체명, 소재지, 영업대상폐기물 등)
Author대구광역시
URLhttps://www.data.go.kr/data/15035495/fileData.do

Alerts

연번 is highly overall correlated with 구군 and 1 other fieldsHigh correlation
구군 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
폐기물재활용업 허가 is highly overall correlated with 연번High correlation
영업대상폐기물 is highly overall correlated with 구군High correlation
영업대상폐기물 is highly imbalanced (54.0%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:12:27.783977
Analysis finished2023-12-12 05:12:29.075703
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.5
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T14:12:29.163066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.05
Q126.25
median51.5
Q376.75
95-th percentile96.95
Maximum102
Range101
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation29.588849
Coefficient of variation (CV)0.57454076
Kurtosis-1.2
Mean51.5
Median Absolute Deviation (MAD)25.5
Skewness0
Sum5253
Variance875.5
MonotonicityStrictly increasing
2023-12-12T14:12:29.318182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
66 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%

구군
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
달성군
72 
서구
12 
달서구
동구
 
5
북구
 
3

Length

Max length3
Median length3
Mean length2.8039216
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서구
2nd row서구
3rd row북구
4th row북구
5th row달성군

Common Values

ValueCountFrequency (%)
달성군 72
70.6%
서구 12
 
11.8%
달서구 8
 
7.8%
동구 5
 
4.9%
북구 3
 
2.9%
군위군 2
 
2.0%

Length

2023-12-12T14:12:29.463559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:12:29.593668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달성군 72
70.6%
서구 12
 
11.8%
달서구 8
 
7.8%
동구 5
 
4.9%
북구 3
 
2.9%
군위군 2
 
2.0%

폐기물재활용업 허가
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
종합재활용업
67 
중간재활용업
35 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종합재활용업 67
65.7%
중간재활용업 35
34.3%

Length

2023-12-12T14:12:29.747175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:12:29.876170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합재활용업 67
65.7%
중간재활용업 35
34.3%
Distinct98
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T14:12:30.175338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.7745098
Min length2

Characters and Unicode

Total characters691
Distinct characters152
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

Unique95 ?
Unique (%)93.1%

Sample

1st row(주)해동자원 서대구공장
2nd row달구벌산업 ㈜대구공장
3rd row대호
4th row㈜해동자원 북구사업소
5th row신우산업
ValueCountFrequency (%)
주식회사 7
 
5.8%
달성지점 4
 
3.3%
대호 3
 
2.5%
㈜유창알앤씨 2
 
1.7%
다물환경 2
 
1.7%
청조환경(주 1
 
0.8%
주)해동자원 1
 
0.8%
세하주식회사 1
 
0.8%
이천폴리머 1
 
0.8%
한국비철(주 1
 
0.8%
Other values (97) 97
80.8%
2023-12-12T14:12:30.781183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
6.4%
) 34
 
4.9%
( 34
 
4.9%
28
 
4.1%
25
 
3.6%
23
 
3.3%
22
 
3.2%
22
 
3.2%
18
 
2.6%
18
 
2.6%
Other values (142) 423
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 590
85.4%
Close Punctuation 34
 
4.9%
Open Punctuation 34
 
4.9%
Space Separator 18
 
2.6%
Other Symbol 12
 
1.7%
Uppercase Letter 2
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
7.5%
28
 
4.7%
25
 
4.2%
23
 
3.9%
22
 
3.7%
22
 
3.7%
18
 
3.1%
16
 
2.7%
15
 
2.5%
15
 
2.5%
Other values (135) 362
61.4%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
J 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Other Symbol
ValueCountFrequency (%)
12
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 602
87.1%
Common 87
 
12.6%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
7.3%
28
 
4.7%
25
 
4.2%
23
 
3.8%
22
 
3.7%
22
 
3.7%
18
 
3.0%
16
 
2.7%
15
 
2.5%
15
 
2.5%
Other values (136) 374
62.1%
Common
ValueCountFrequency (%)
) 34
39.1%
( 34
39.1%
18
20.7%
1 1
 
1.1%
Latin
ValueCountFrequency (%)
H 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 590
85.4%
ASCII 89
 
12.9%
None 12
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
44
 
7.5%
28
 
4.7%
25
 
4.2%
23
 
3.9%
22
 
3.7%
22
 
3.7%
18
 
3.1%
16
 
2.7%
15
 
2.5%
15
 
2.5%
Other values (135) 362
61.4%
ASCII
ValueCountFrequency (%)
) 34
38.2%
( 34
38.2%
18
20.2%
1 1
 
1.1%
H 1
 
1.1%
J 1
 
1.1%
None
ValueCountFrequency (%)
12
100.0%
Distinct94
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-12T14:12:31.227482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length20.764706
Min length6

Characters and Unicode

Total characters2118
Distinct characters92
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

Unique86 ?
Unique (%)84.3%

Sample

1st row염색공단천로16길17
2nd row북비산로29길40
3rd row조야로2길 101(서변동)
4th row조야로2길 103(서변동)
5th row대구광역시 달성군 하빈면 달구벌대로8길 168
ValueCountFrequency (%)
대구광역시 74
17.6%
달성군 72
 
17.1%
하빈면 30
 
7.1%
논공읍 28
 
6.7%
하빈남로 10
 
2.4%
옥포읍 6
 
1.4%
하산길 5
 
1.2%
현풍읍 5
 
1.2%
비슬로264길 5
 
1.2%
노이길 4
 
1.0%
Other values (142) 181
43.1%
2023-12-12T14:12:32.180280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
 
15.0%
1 93
 
4.4%
84
 
4.0%
84
 
4.0%
82
 
3.9%
80
 
3.8%
79
 
3.7%
76
 
3.6%
76
 
3.6%
75
 
3.5%
Other values (82) 1071
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1295
61.1%
Decimal Number 434
 
20.5%
Space Separator 318
 
15.0%
Dash Punctuation 33
 
1.6%
Open Punctuation 17
 
0.8%
Close Punctuation 17
 
0.8%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
84
 
6.5%
84
 
6.5%
82
 
6.3%
80
 
6.2%
79
 
6.1%
76
 
5.9%
76
 
5.9%
75
 
5.8%
74
 
5.7%
74
 
5.7%
Other values (67) 511
39.5%
Decimal Number
ValueCountFrequency (%)
1 93
21.4%
2 71
16.4%
4 46
10.6%
3 37
 
8.5%
6 35
 
8.1%
5 34
 
7.8%
7 32
 
7.4%
9 32
 
7.4%
0 31
 
7.1%
8 23
 
5.3%
Space Separator
ValueCountFrequency (%)
318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1295
61.1%
Common 823
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
84
 
6.5%
84
 
6.5%
82
 
6.3%
80
 
6.2%
79
 
6.1%
76
 
5.9%
76
 
5.9%
75
 
5.8%
74
 
5.7%
74
 
5.7%
Other values (67) 511
39.5%
Common
ValueCountFrequency (%)
318
38.6%
1 93
 
11.3%
2 71
 
8.6%
4 46
 
5.6%
3 37
 
4.5%
6 35
 
4.3%
5 34
 
4.1%
- 33
 
4.0%
7 32
 
3.9%
9 32
 
3.9%
Other values (5) 92
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1295
61.1%
ASCII 823
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
318
38.6%
1 93
 
11.3%
2 71
 
8.6%
4 46
 
5.6%
3 37
 
4.5%
6 35
 
4.3%
5 34
 
4.1%
- 33
 
4.0%
7 32
 
3.9%
9 32
 
3.9%
Other values (5) 92
 
11.2%
Hangul
ValueCountFrequency (%)
84
 
6.5%
84
 
6.5%
82
 
6.3%
80
 
6.2%
79
 
6.1%
76
 
5.9%
76
 
5.9%
75
 
5.8%
74
 
5.7%
74
 
5.7%
Other values (67) 511
39.5%

영업대상폐기물
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct16
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size948.0 B
폐합성수지 등
72 
폐합성수지
11 
폐합성수지. 폐목재 등
 
3
폐지류. 고철및금속캔류. 폐합성수지. 유리병
 
2
폐합성수지류(폐전선.폐통신케이블.고철)
 
2
Other values (11)
12 

Length

Max length38
Median length7
Mean length8.7058824
Min length5

Unique

Unique10 ?
Unique (%)9.8%

Sample

1st row폐합성수지. 폐가구 등
2nd row폐합성수지
3rd row폐지류. 고철및금속캔류. 폐합성수지. 유리병
4th row폐지류. 고철및금속캔류. 폐합성수지. 유리병
5th row폐합성수지 등

Common Values

ValueCountFrequency (%)
폐합성수지 등 72
70.6%
폐합성수지 11
 
10.8%
폐합성수지. 폐목재 등 3
 
2.9%
폐지류. 고철및금속캔류. 폐합성수지. 유리병 2
 
2.0%
폐합성수지류(폐전선.폐통신케이블.고철) 2
 
2.0%
폐합성수지류 2
 
2.0%
폐합성수지. 폐가구 등 1
 
1.0%
폐합성수지류(폐플라스틱.폐스티로폼) 1
 
1.0%
폐합성수지류(폐전선.폐통신케이블.폐모터.인쇄회로기관.고철.폐합성수지) 1
 
1.0%
폐합성수지류(PVC) 1
 
1.0%
Other values (6) 6
 
5.9%

Length

2023-12-12T14:12:32.411170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
폐합성수지 90
45.9%
76
38.8%
폐목재 4
 
2.0%
pp 3
 
1.5%
폐지류 2
 
1.0%
고철및금속캔류 2
 
1.0%
유리병 2
 
1.0%
폐합성수지류(폐전선.폐통신케이블.고철 2
 
1.0%
폐합성수지류 2
 
1.0%
폐합성수지류(폐플라스틱(pe 2
 
1.0%
Other values (11) 11
 
5.6%

Interactions

2023-12-12T14:12:28.723058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:12:32.557684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구군폐기물재활용업 허가업체명소재지영업대상폐기물
연번1.0000.7600.9920.7190.8680.598
구군0.7601.0000.4070.0001.0000.960
폐기물재활용업 허가0.9920.4071.0000.7740.8460.294
업체명0.7190.0000.7741.0000.9980.000
소재지0.8681.0000.8460.9981.0001.000
영업대상폐기물0.5980.9600.2940.0001.0001.000
2023-12-12T14:12:32.722076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구군영업대상폐기물폐기물재활용업 허가
구군1.0000.8200.286
영업대상폐기물0.8201.0000.211
폐기물재활용업 허가0.2860.2111.000
2023-12-12T14:12:32.850625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구군폐기물재활용업 허가영업대상폐기물
연번1.0000.5210.8830.271
구군0.5211.0000.2860.820
폐기물재활용업 허가0.8830.2861.0000.211
영업대상폐기물0.2710.8200.2111.000

Missing values

2023-12-12T14:12:28.881872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:12:29.011522image/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

연번구군폐기물재활용업 허가업체명소재지영업대상폐기물
01서구중간재활용업(주)해동자원 서대구공장염색공단천로16길17폐합성수지. 폐가구 등
12서구중간재활용업달구벌산업 ㈜대구공장북비산로29길40폐합성수지
23북구중간재활용업대호조야로2길 101(서변동)폐지류. 고철및금속캔류. 폐합성수지. 유리병
34북구중간재활용업㈜해동자원 북구사업소조야로2길 103(서변동)폐지류. 고철및금속캔류. 폐합성수지. 유리병
45달성군중간재활용업신우산업대구광역시 달성군 하빈면 달구벌대로8길 168폐합성수지 등
56달성군중간재활용업봉촌산업대구광역시 달성군 하빈면 달구벌대로8길 193-5폐합성수지 등
67달성군중간재활용업(주)상진그린산업대구광역시 달성군 논공읍 노이4길 14폐합성수지 등
78달성군중간재활용업세계환경(주)대구광역시 달성군 현풍읍 현풍서로 90폐합성수지 등
89달성군중간재활용업조희산업대구광역시 달성군 논공읍 걸미1길 6폐합성수지 등
910달성군중간재활용업(주)평진환경 달성군지점대구광역시 달성군 하빈면 하산길 129-50폐합성수지 등
연번구군폐기물재활용업 허가업체명소재지영업대상폐기물
9293달성군종합재활용업일광수지대구광역시 달성군 논공읍 비슬로331길 27폐합성수지 등
9394달성군종합재활용업(주)고려엠텍대구광역시 달성군 논공읍 비슬로264길 46-11. 외 46-5폐합성수지 등
9495달성군종합재활용업(주)정우수지대구광역시 달성군 하빈면 하빈남로 371-45. 371-47폐합성수지 등
9596달성군종합재활용업용호그린(주)대구광역시 달성군 하빈면 하빈남로104길 30-18폐합성수지 등
9697달성군종합재활용업유유리싸이클링(주)대구광역시 달성군 하빈면 하산길 129-24폐합성수지 등
9798달성군종합재활용업진우수지대구광역시 달성군 논공읍 비슬로262길 91-11폐합성수지 등
9899달성군종합재활용업원에너지대구광역시 달성군 논공읍 농공공단1길 60-9폐합성수지 등
99100달성군종합재활용업(주)미래창조산업대구광역시 달성군 논공읍 논공중앙로 269폐합성수지 등
100101군위군종합재활용업한국사이언스주식회사대구광역시 군위군 효령면 고곡리 1408-44폐합성수지류
101102군위군종합재활용업현대케미칼산업대구광역시 군위군 효령면 고곡리 296-12폐합성수지(PE. PP. PET. PVC. ABS)