Overview

Dataset statistics

Number of variables5
Number of observations45
Missing cells4
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory43.9 B

Variable types

Numeric1
Text4

Dataset

Description창원시 관내(5개구) 재활용 폐기업소(폐합성수지, 폐전선, 폐유리, 폐알루미늄 등) 현황 자료(업소명, 소재지, 전화번호 등)입니다.
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3080389

Alerts

전화번호 has 4 (8.9%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:39:45.953173
Analysis finished2023-12-10 22:39:46.481126
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-11T07:39:46.761395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2023-12-11T07:39:46.896401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

업소명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T07:39:47.113020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.4666667
Min length3

Characters and Unicode

Total characters246
Distinct characters102
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

Unique45 ?
Unique (%)100.0%

Sample

1st row다산실업
2nd row㈜태양비료
3rd row(주)늘푸른자원
4th row태양재활용산업
5th row대운산업
ValueCountFrequency (%)
㈜보성산업 2
 
4.3%
다산실업 1
 
2.1%
주)mh에탄올 1
 
2.1%
선진자원 1
 
2.1%
진우금속 1
 
2.1%
주)금부산업 1
 
2.1%
주)삼호리사이클 1
 
2.1%
광운상사 1
 
2.1%
대부개발(주 1
 
2.1%
그린자원 1
 
2.1%
Other values (36) 36
76.6%
2023-12-11T07:39:47.504573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 21
 
8.5%
산 17
 
6.9%
업 16
 
6.5%
주 8
 
3.3%
금 7
 
2.8%
( 6
 
2.4%
) 6
 
2.4%
대 6
 
2.4%
원 5
 
2.0%
에 5
 
2.0%
Other values (92) 149
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 205
83.3%
Other Symbol 21
 
8.5%
Open Punctuation 6
 
2.4%
Close Punctuation 6
 
2.4%
Uppercase Letter 5
 
2.0%
Space Separator 2
 
0.8%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 17
 
8.3%
업 16
 
7.8%
주 8
 
3.9%
금 7
 
3.4%
대 6
 
2.9%
원 5
 
2.4%
에 5
 
2.4%
이 5
 
2.4%
지 4
 
2.0%
발 4
 
2.0%
Other values (82) 128
62.4%
Uppercase Letter
ValueCountFrequency (%)
E 1
20.0%
H 1
20.0%
M 1
20.0%
N 1
20.0%
G 1
20.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
91.9%
Common 15
 
6.1%
Latin 5
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 21
 
9.3%
산 17
 
7.5%
업 16
 
7.1%
주 8
 
3.5%
금 7
 
3.1%
대 6
 
2.7%
원 5
 
2.2%
에 5
 
2.2%
이 5
 
2.2%
지 4
 
1.8%
Other values (83) 132
58.4%
Latin
ValueCountFrequency (%)
E 1
20.0%
H 1
20.0%
M 1
20.0%
N 1
20.0%
G 1
20.0%
Common
ValueCountFrequency (%)
( 6
40.0%
) 6
40.0%
2
 
13.3%
2 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 205
83.3%
None 21
 
8.5%
ASCII 20
 
8.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 21
100.0%
Hangul
ValueCountFrequency (%)
산 17
 
8.3%
업 16
 
7.8%
주 8
 
3.9%
금 7
 
3.4%
대 6
 
2.9%
원 5
 
2.4%
에 5
 
2.4%
이 5
 
2.4%
지 4
 
2.0%
발 4
 
2.0%
Other values (82) 128
62.4%
ASCII
ValueCountFrequency (%)
( 6
30.0%
) 6
30.0%
2
 
10.0%
E 1
 
5.0%
H 1
 
5.0%
M 1
 
5.0%
N 1
 
5.0%
2 1
 
5.0%
G 1
 
5.0%

소재지
Text

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T07:39:47.764435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length22
Min length17

Characters and Unicode

Total characters990
Distinct characters79
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)91.1%

Sample

1st row창원시 의창구 대산면 진산대로443번길 2
2nd row창원시 의창구 동읍 무점길 71-23
3rd row창원시 의창구 북면 백월로74번기곡길 9
4th row창원시 의창구 북면 백월로 233-5
5th row창원시 의창구 북면천주로 991-9
ValueCountFrequency (%)
창원시 45
21.4%
마산합포구 14
 
6.7%
진북면 11
 
5.2%
진해구 11
 
5.2%
내서읍 8
 
3.8%
마산회원구 8
 
3.8%
의창구 8
 
3.8%
진북산업로 6
 
2.9%
성산구 4
 
1.9%
수곡로 3
 
1.4%
Other values (83) 92
43.8%
2023-12-11T07:39:48.101504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
16.7%
창 55
 
5.6%
원 54
 
5.5%
시 45
 
4.5%
구 45
 
4.5%
로 39
 
3.9%
산 37
 
3.7%
진 35
 
3.5%
1 33
 
3.3%
3 23
 
2.3%
Other values (69) 459
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 614
62.0%
Decimal Number 174
 
17.6%
Space Separator 165
 
16.7%
Dash Punctuation 17
 
1.7%
Close Punctuation 10
 
1.0%
Open Punctuation 10
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
창 55
 
9.0%
원 54
 
8.8%
시 45
 
7.3%
구 45
 
7.3%
로 39
 
6.4%
산 37
 
6.0%
진 35
 
5.7%
마 22
 
3.6%
북 21
 
3.4%
면 19
 
3.1%
Other values (55) 242
39.4%
Decimal Number
ValueCountFrequency (%)
1 33
19.0%
3 23
13.2%
4 20
11.5%
2 20
11.5%
6 15
8.6%
5 15
8.6%
9 14
8.0%
8 12
 
6.9%
7 11
 
6.3%
0 11
 
6.3%
Space Separator
ValueCountFrequency (%)
165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 614
62.0%
Common 376
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
창 55
 
9.0%
원 54
 
8.8%
시 45
 
7.3%
구 45
 
7.3%
로 39
 
6.4%
산 37
 
6.0%
진 35
 
5.7%
마 22
 
3.6%
북 21
 
3.4%
면 19
 
3.1%
Other values (55) 242
39.4%
Common
ValueCountFrequency (%)
165
43.9%
1 33
 
8.8%
3 23
 
6.1%
4 20
 
5.3%
2 20
 
5.3%
- 17
 
4.5%
6 15
 
4.0%
5 15
 
4.0%
9 14
 
3.7%
8 12
 
3.2%
Other values (4) 42
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 614
62.0%
ASCII 376
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
43.9%
1 33
 
8.8%
3 23
 
6.1%
4 20
 
5.3%
2 20
 
5.3%
- 17
 
4.5%
6 15
 
4.0%
5 15
 
4.0%
9 14
 
3.7%
8 12
 
3.2%
Other values (4) 42
 
11.2%
Hangul
ValueCountFrequency (%)
창 55
 
9.0%
원 54
 
8.8%
시 45
 
7.3%
구 45
 
7.3%
로 39
 
6.4%
산 37
 
6.0%
진 35
 
5.7%
마 22
 
3.6%
북 21
 
3.4%
면 19
 
3.1%
Other values (55) 242
39.4%

전화번호
Text

MISSING 

Distinct40
Distinct (%)97.6%
Missing4
Missing (%)8.9%
Memory size492.0 B
2023-12-11T07:39:48.321491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)95.1%

Sample

1st row055-291-4880
2nd row055-253-7646
3rd row055-298-1428
4th row055-255-6605
5th row055-299-6627
ValueCountFrequency (%)
055-603-0001 2
 
4.9%
055-271-0278 1
 
2.4%
055-231-0895 1
 
2.4%
055-291-4880 1
 
2.4%
055-547-2401 1
 
2.4%
055-232-3784 1
 
2.4%
055-232-2882 1
 
2.4%
055-231-9022 1
 
2.4%
055-247-2222 1
 
2.4%
055-232-6912 1
 
2.4%
Other values (30) 30
73.2%
2023-12-11T07:39:48.604221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 116
23.6%
- 82
16.7%
0 71
14.4%
2 56
11.4%
1 34
 
6.9%
7 28
 
5.7%
4 26
 
5.3%
6 25
 
5.1%
3 21
 
4.3%
8 18
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 116
28.3%
0 71
17.3%
2 56
13.7%
1 34
 
8.3%
7 28
 
6.8%
4 26
 
6.3%
6 25
 
6.1%
3 21
 
5.1%
8 18
 
4.4%
9 15
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 116
23.6%
- 82
16.7%
0 71
14.4%
2 56
11.4%
1 34
 
6.9%
7 28
 
5.7%
4 26
 
5.3%
6 25
 
5.1%
3 21
 
4.3%
8 18
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 116
23.6%
- 82
16.7%
0 71
14.4%
2 56
11.4%
1 34
 
6.9%
7 28
 
5.7%
4 26
 
5.3%
6 25
 
5.1%
3 21
 
4.3%
8 18
 
3.7%

영업대상폐기물
Text

Distinct38
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T07:39:48.760669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length34
Mean length16.111111
Min length3

Characters and Unicode

Total characters725
Distinct characters130
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)80.0%

Sample

1st row폐합성수지
2nd row음식물류폐기물
3rd row가정용폐전기전자제품, 산업용폐전기전자제품
4th row폐합성수지류(폐스티로폼, 폐플라스틱(PE, PP, PS, PET))
5th row폐합성수지(PP,PE)
ValueCountFrequency (%)
폐합성수지 9
 
9.5%
폐합성수지류 5
 
5.3%
그 4
 
4.2%
밖의 4
 
4.2%
폐합성고무류 2
 
2.1%
폐전선 2
 
2.1%
분진 2
 
2.1%
폐기물 2
 
2.1%
건설폐기물 2
 
2.1%
폐석고 2
 
2.1%
Other values (59) 61
64.2%
2023-12-11T07:39:49.029199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 86
 
11.9%
, 64
 
8.8%
50
 
6.9%
성 37
 
5.1%
합 34
 
4.7%
지 27
 
3.7%
수 26
 
3.6%
물 23
 
3.2%
류 19
 
2.6%
재 19
 
2.6%
Other values (120) 340
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 573
79.0%
Other Punctuation 65
 
9.0%
Space Separator 50
 
6.9%
Uppercase Letter 13
 
1.8%
Open Punctuation 12
 
1.7%
Close Punctuation 12
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 86
 
15.0%
성 37
 
6.5%
합 34
 
5.9%
지 27
 
4.7%
수 26
 
4.5%
물 23
 
4.0%
류 19
 
3.3%
재 19
 
3.3%
기 15
 
2.6%
전 10
 
1.7%
Other values (111) 277
48.3%
Uppercase Letter
ValueCountFrequency (%)
P 8
61.5%
E 3
 
23.1%
S 1
 
7.7%
T 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 64
98.5%
. 1
 
1.5%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 573
79.0%
Common 139
 
19.2%
Latin 13
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 86
 
15.0%
성 37
 
6.5%
합 34
 
5.9%
지 27
 
4.7%
수 26
 
4.5%
물 23
 
4.0%
류 19
 
3.3%
재 19
 
3.3%
기 15
 
2.6%
전 10
 
1.7%
Other values (111) 277
48.3%
Common
ValueCountFrequency (%)
, 64
46.0%
50
36.0%
( 12
 
8.6%
) 12
 
8.6%
. 1
 
0.7%
Latin
ValueCountFrequency (%)
P 8
61.5%
E 3
 
23.1%
S 1
 
7.7%
T 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 573
79.0%
ASCII 152
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 86
 
15.0%
성 37
 
6.5%
합 34
 
5.9%
지 27
 
4.7%
수 26
 
4.5%
물 23
 
4.0%
류 19
 
3.3%
재 19
 
3.3%
기 15
 
2.6%
전 10
 
1.7%
Other values (111) 277
48.3%
ASCII
ValueCountFrequency (%)
, 64
42.1%
50
32.9%
( 12
 
7.9%
) 12
 
7.9%
P 8
 
5.3%
E 3
 
2.0%
S 1
 
0.7%
T 1
 
0.7%
. 1
 
0.7%

Interactions

2023-12-11T07:39:46.270957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:39:49.103261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지전화번호영업대상폐기물
연번1.0001.0000.9671.0000.862
업소명1.0001.0001.0001.0001.000
소재지0.9671.0001.0001.0000.991
전화번호1.0001.0001.0001.0000.978
영업대상폐기물0.8621.0000.9910.9781.000

Missing values

2023-12-11T07:39:46.351034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:39:46.440463image/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

연번업소명소재지전화번호영업대상폐기물
01다산실업창원시 의창구 대산면 진산대로443번길 2055-291-4880폐합성수지
12㈜태양비료창원시 의창구 동읍 무점길 71-23055-253-7646음식물류폐기물
23(주)늘푸른자원창원시 의창구 북면 백월로74번기곡길 9055-298-1428가정용폐전기전자제품, 산업용폐전기전자제품
34태양재활용산업창원시 의창구 북면 백월로 233-5055-255-6605폐합성수지류(폐스티로폼, 폐플라스틱(PE, PP, PS, PET))
45대운산업창원시 의창구 북면천주로 991-9055-299-6627폐합성수지(PP,PE)
56주영산업창원시 의창구 동읍 동읍로1141번길 28-63<NA>폐합성수지류, 폐합성고무류
67㈜이세산업창원시 의창구 대산면 진산대로 634055-253-5666폐합성수지류, 임목폐목재, 폐합성섬유, 폐판넬 등
78㈜소계상사창원시 의창구 소계로 41 (소계동)055-253-0415폐합성수지
89㈜창원에너텍창원시 성산구 남면로113번길 27(대원동)055-273-0500사업장일반폐기물
910㈜석지창원시 성산구 월림로67번길 38(신촌동)055-265-1516폐합성수지, 그 밖의 폐목재류
연번업소명소재지전화번호영업대상폐기물
3536㈜중앙교역창원시 진해구 남의로552번길 16(남양동)055-551-6565폐주물사, 광재, 분진, 폐사(샌드블라스트폐사), 폐내화물, 폐흡착제, 폐석고, 무기성오니, 금속편류(스켈), 연소잔재물(석탄재), 소각재, 폐전선
3637㈜대경개발창원시 진해구 남의로544번길 6(남양동)055-547-6525점토점결폐주물사,광재,분진,무기성오니,폐내화물,도자기조각,폐석재
3738남양산업창원시 진해구 남의로 534-5(남양동)055-547-6111화학점결폐주물사,점토점결폐주물사,광재,분진,폐내화물,무기성오니
3839㈜대동씨엠창원시 진해구 남의로43번길 43055-551-9761폐주물사
3940성지그린텍창원시 진해구 두동 1088-2<NA>폐합성수지
4041신흥산업㈜창원시 진해구 두동 1088-2055-547-0234폐합성수지
4142남산금속창원시 진해구 제덕로 198(제덕동)055-547-2100폐합성수지
4243사직타이어창원시 진해구 남영로473번길 11055-545-2164폐타이어,폐합성수지,폐합성고무,알루미늄휠
4344금평산업개발㈜창원시 진해구 명제로149번길 69055-545-2345건설폐기물
4445㈜금송ENG창원시 진해구 장천동 175-2055-542-5384폐석고