Overview

Dataset statistics

Number of variables6
Number of observations86
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory50.5 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description대구광역시 지역내 구군 재활용품 판매센터 현황(업소명, 주소, 전화번호, 주요취급품목 등)_2024.04.17.
Author대구광역시
URLhttps://www.data.go.kr/data/3075110/fileData.do

Alerts

연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
주요취급품목 is highly overall correlated with 구분High correlation
연번 has unique valuesUnique
명칭 has unique valuesUnique

Reproduction

Analysis started2024-04-29 23:23:24.402334
Analysis finished2024-04-29 23:23:26.680440
Duration2.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.5
Minimum1
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-04-30T08:23:26.758683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.25
Q122.25
median43.5
Q364.75
95-th percentile81.75
Maximum86
Range85
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation24.969982
Coefficient of variation (CV)0.57402257
Kurtosis-1.2
Mean43.5
Median Absolute Deviation (MAD)21.5
Skewness0
Sum3741
Variance623.5
MonotonicityStrictly increasing
2024-04-30T08:23:26.882257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
56 1
 
1.2%
64 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
Other values (76) 76
88.4%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
86 1
1.2%
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%

구분
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
북구
33 
남구
14 
달서구
13 
달성군
10 
동구
7 
Other values (3)
9 

Length

Max length3
Median length2
Mean length2.3023256
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row중구
2nd row동구
3rd row동구
4th row동구
5th row동구

Common Values

ValueCountFrequency (%)
북구 33
38.4%
남구 14
16.3%
달서구 13
 
15.1%
달성군 10
 
11.6%
동구 7
 
8.1%
서구 5
 
5.8%
수성구 3
 
3.5%
중구 1
 
1.2%

Length

2024-04-30T08:23:27.014323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:23:27.127205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 33
38.4%
남구 14
16.3%
달서구 13
 
15.1%
달성군 10
 
11.6%
동구 7
 
8.1%
서구 5
 
5.8%
수성구 3
 
3.5%
중구 1
 
1.2%

명칭
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-04-30T08:23:27.329349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.8372093
Min length4

Characters and Unicode

Total characters588
Distinct characters148
Distinct categories5 ?
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 (%)100.0%

Sample

1st row중구 재활용센터
2nd row달구벌가구가전마트재활용
3rd row동부전자재활용센터
4th row경북전자재활용센타
5th row홍아저씨중고가전가구
ValueCountFrequency (%)
모든중고나라 2
 
2.2%
중구 1
 
1.1%
럭키인테리어가구 1
 
1.1%
사무나라(리마트 1
 
1.1%
수성점 1
 
1.1%
아름다운가게 1
 
1.1%
칠곡태전재활용 1
 
1.1%
관음재활용센터 1
 
1.1%
강북재활용 1
 
1.1%
대현재활용 1
 
1.1%
Other values (79) 79
87.8%
2024-04-30T08:23:27.663508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 44
 
7.5%
재 41
 
7.0%
활 41
 
7.0%
가 26
 
4.4%
전 25
 
4.3%
센 23
 
3.9%
구 23
 
3.9%
터 22
 
3.7%
중 18
 
3.1%
고 18
 
3.1%
Other values (138) 307
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 580
98.6%
Space Separator 4
 
0.7%
Decimal Number 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 44
 
7.6%
재 41
 
7.1%
활 41
 
7.1%
가 26
 
4.5%
전 25
 
4.3%
센 23
 
4.0%
구 23
 
4.0%
터 22
 
3.8%
중 18
 
3.1%
고 18
 
3.1%
Other values (134) 299
51.6%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
7 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 580
98.6%
Common 8
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 44
 
7.6%
재 41
 
7.1%
활 41
 
7.1%
가 26
 
4.5%
전 25
 
4.3%
센 23
 
4.0%
구 23
 
4.0%
터 22
 
3.8%
중 18
 
3.1%
고 18
 
3.1%
Other values (134) 299
51.6%
Common
ValueCountFrequency (%)
4
50.0%
7 2
25.0%
) 1
 
12.5%
( 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 580
98.6%
ASCII 8
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 44
 
7.6%
재 41
 
7.1%
활 41
 
7.1%
가 26
 
4.5%
전 25
 
4.3%
센 23
 
4.0%
구 23
 
4.0%
터 22
 
3.8%
중 18
 
3.1%
고 18
 
3.1%
Other values (134) 299
51.6%
ASCII
ValueCountFrequency (%)
4
50.0%
7 2
25.0%
) 1
 
12.5%
( 1
 
12.5%

위치
Text

Distinct80
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-04-30T08:23:27.945251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length8.8488372
Min length6

Characters and Unicode

Total characters761
Distinct characters87
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)87.2%

Sample

1st row중구 태평로51길 77
2nd row화랑로 99
3rd row대현로 129
4th row대현로 133
5th row반야월로22길 13 1층상가
ValueCountFrequency (%)
공평로 9
 
5.0%
칠성가구시장로2길 5
 
2.8%
화원읍 5
 
2.8%
침산로 4
 
2.2%
대현로 3
 
1.7%
168 3
 
1.7%
대명로 3
 
1.7%
267 2
 
1.1%
칠성로 2
 
1.1%
14-5 2
 
1.1%
Other values (121) 142
78.9%
2024-04-30T08:23:28.345709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
12.4%
로 81
 
10.6%
1 64
 
8.4%
2 38
 
5.0%
3 31
 
4.1%
6 31
 
4.1%
길 25
 
3.3%
4 23
 
3.0%
성 20
 
2.6%
5 20
 
2.6%
Other values (77) 334
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 378
49.7%
Decimal Number 271
35.6%
Space Separator 94
 
12.4%
Dash Punctuation 18
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 81
21.4%
길 25
 
6.6%
성 20
 
5.3%
칠 15
 
4.0%
구 14
 
3.7%
대 14
 
3.7%
공 13
 
3.4%
현 11
 
2.9%
평 10
 
2.6%
중 10
 
2.6%
Other values (65) 165
43.7%
Decimal Number
ValueCountFrequency (%)
1 64
23.6%
2 38
14.0%
3 31
11.4%
6 31
11.4%
4 23
 
8.5%
5 20
 
7.4%
9 18
 
6.6%
7 16
 
5.9%
0 15
 
5.5%
8 15
 
5.5%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 383
50.3%
Hangul 378
49.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 81
21.4%
길 25
 
6.6%
성 20
 
5.3%
칠 15
 
4.0%
구 14
 
3.7%
대 14
 
3.7%
공 13
 
3.4%
현 11
 
2.9%
평 10
 
2.6%
중 10
 
2.6%
Other values (65) 165
43.7%
Common
ValueCountFrequency (%)
94
24.5%
1 64
16.7%
2 38
9.9%
3 31
 
8.1%
6 31
 
8.1%
4 23
 
6.0%
5 20
 
5.2%
9 18
 
4.7%
- 18
 
4.7%
7 16
 
4.2%
Other values (2) 30
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 383
50.3%
Hangul 378
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
24.5%
1 64
16.7%
2 38
9.9%
3 31
 
8.1%
6 31
 
8.1%
4 23
 
6.0%
5 20
 
5.2%
9 18
 
4.7%
- 18
 
4.7%
7 16
 
4.2%
Other values (2) 30
 
7.8%
Hangul
ValueCountFrequency (%)
로 81
21.4%
길 25
 
6.6%
성 20
 
5.3%
칠 15
 
4.0%
구 14
 
3.7%
대 14
 
3.7%
공 13
 
3.4%
현 11
 
2.9%
평 10
 
2.6%
중 10
 
2.6%
Other values (65) 165
43.7%

전화
Text

Distinct70
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-04-30T08:23:28.588663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.465116
Min length4

Characters and Unicode

Total characters900
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)79.1%

Sample

1st row053-254-8661
2nd row053-753-1337
3rd row053-953-0277
4th row053-952-4542
5th row내용없음
ValueCountFrequency (%)
내용없음 16
 
18.6%
053-286-6058 2
 
2.3%
053-423-8020 1
 
1.2%
053-428-1625 1
 
1.2%
053-422-1405 1
 
1.2%
053-423-7880 1
 
1.2%
053-423-1179 1
 
1.2%
053-426-8248 1
 
1.2%
053-527-8833 1
 
1.2%
053-423-8222 1
 
1.2%
Other values (60) 60
69.8%
2024-04-30T08:23:28.951872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 139
15.4%
5 125
13.9%
3 124
13.8%
0 101
11.2%
2 76
8.4%
4 56
6.2%
8 52
 
5.8%
6 51
 
5.7%
1 41
 
4.6%
7 37
 
4.1%
Other values (5) 98
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 697
77.4%
Dash Punctuation 139
 
15.4%
Other Letter 64
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 125
17.9%
3 124
17.8%
0 101
14.5%
2 76
10.9%
4 56
8.0%
8 52
7.5%
6 51
7.3%
1 41
 
5.9%
7 37
 
5.3%
9 34
 
4.9%
Other Letter
ValueCountFrequency (%)
내 16
25.0%
용 16
25.0%
없 16
25.0%
음 16
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 836
92.9%
Hangul 64
 
7.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 139
16.6%
5 125
15.0%
3 124
14.8%
0 101
12.1%
2 76
9.1%
4 56
6.7%
8 52
 
6.2%
6 51
 
6.1%
1 41
 
4.9%
7 37
 
4.4%
Hangul
ValueCountFrequency (%)
내 16
25.0%
용 16
25.0%
없 16
25.0%
음 16
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 836
92.9%
Hangul 64
 
7.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 139
16.6%
5 125
15.0%
3 124
14.8%
0 101
12.1%
2 76
9.1%
4 56
6.7%
8 52
 
6.2%
6 51
 
6.1%
1 41
 
4.9%
7 37
 
4.4%
Hangul
ValueCountFrequency (%)
내 16
25.0%
용 16
25.0%
없 16
25.0%
음 16
25.0%

주요취급품목
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size820.0 B
가전
20 
가구,가전
15 
주방기기
9 
가전,가구
7 
중고 가전·가구
7 
Other values (13)
28 

Length

Max length12
Median length11
Mean length4.4534884
Min length2

Unique

Unique9 ?
Unique (%)10.5%

Sample

1st row가구
2nd row가전,가구
3rd row가전,가구
4th row가전
5th row가전,가구

Common Values

ValueCountFrequency (%)
가전 20
23.3%
가구,가전 15
17.4%
주방기기 9
10.5%
가전,가구 7
 
8.1%
중고 가전·가구 7
 
8.1%
가구 6
 
7.0%
중고 가전 6
 
7.0%
가전,가구등 4
 
4.7%
가전, 가구등 3
 
3.5%
벽걸이TV 1
 
1.2%
Other values (8) 8
 
9.3%

Length

2024-04-30T08:23:29.101700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가전 30
28.3%
가구,가전 15
14.2%
중고 13
12.3%
주방기기 9
 
8.5%
가전,가구 7
 
6.6%
가전·가구 7
 
6.6%
가구 6
 
5.7%
가전,가구등 4
 
3.8%
가구등 3
 
2.8%
등 3
 
2.8%
Other values (9) 9
 
8.5%

Interactions

2024-04-30T08:23:26.370462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T08:23:29.185489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분명칭위치전화주요취급품목
연번1.0000.9041.0000.9970.7390.828
구분0.9041.0001.0001.0000.7270.859
명칭1.0001.0001.0001.0001.0001.000
위치0.9971.0001.0001.0000.6530.978
전화0.7390.7271.0000.6531.0000.000
주요취급품목0.8280.8591.0000.9780.0001.000
2024-04-30T08:23:29.302278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주요취급품목구분
주요취급품목1.0000.549
구분0.5491.000
2024-04-30T08:23:29.382191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분주요취급품목
연번1.0000.7170.470
구분0.7171.0000.549
주요취급품목0.4700.5491.000

Missing values

2024-04-30T08:23:26.519925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T08:23:26.633518image/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

연번구분명칭위치전화주요취급품목
01중구중구 재활용센터중구 태평로51길 77053-254-8661가구
12동구달구벌가구가전마트재활용화랑로 99053-753-1337가전,가구
23동구동부전자재활용센터대현로 129053-953-0277가전,가구
34동구경북전자재활용센타대현로 133053-952-4542가전
45동구홍아저씨중고가전가구반야월로22길 13 1층상가내용없음가전,가구
56동구77주방각산동 640-5내용없음가전
67동구대구재활용센터송라로 141-1053-943-8288가전,가구
78동구일일구자원방촌로17길 9내용없음가전
89서구서구중고가전백화점국채보상로70길 3053-567-0913가전
910서구북부재활용센터서대구로 332053-357-8572가구,가전
연번구분명칭위치전화주요취급품목
7677달성군대구종합재활용센터화원읍 구라로 65053-633-4999가구,가전
7778달성군정원가전화원읍 구라로 83내용없음가구,가전
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