Overview

Dataset statistics

Number of variables8
Number of observations140
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory65.9 B

Variable types

Categorical3
Text3
Numeric1
DateTime1

Dataset

Description경기도 양주시 음식물쓰레기 다량배출사업장 현황에 관련된 데이터로 업종, 업체명, 소재지, 전화번호 등의 내용을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/3076975/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:06:05.406517
Analysis finished2023-12-12 18:06:06.116403
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
양주시
140 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양주시 140
100.0%

Length

2023-12-13T03:06:06.204168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:06:06.320220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시 140
100.0%

상호명
Text

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T03:06:06.565167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length8.6785714
Min length2

Characters and Unicode

Total characters1215
Distinct characters263
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)100.0%

Sample

1st row양주시청 구내식당
2nd row경동대학교 기숙사식당
3rd row레이크우드C.C클럽하우스 레스토랑
4th row대륜발전(위탁:아워홈)
5th row뉴옵틱스 양주점[㈜아워홈뉴옵틱스]
ValueCountFrequency (%)
5
 
2.6%
주식회사 4
 
2.1%
동경㈜ 3
 
1.5%
양주 2
 
1.0%
미소육화 2
 
1.0%
신안의료재단 2
 
1.0%
농협하나로유통 2
 
1.0%
장어천국 2
 
1.0%
경동대학교 2
 
1.0%
교현지점 2
 
1.0%
Other values (166) 169
86.7%
2023-12-13T03:06:07.009928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 57
 
4.7%
교 57
 
4.7%
56
 
4.6%
등 40
 
3.3%
양 36
 
3.0%
주 33
 
2.7%
원 32
 
2.6%
초 31
 
2.6%
) 22
 
1.8%
( 22
 
1.8%
Other values (253) 829
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1072
88.2%
Space Separator 56
 
4.6%
Close Punctuation 23
 
1.9%
Open Punctuation 23
 
1.9%
Other Symbol 16
 
1.3%
Uppercase Letter 11
 
0.9%
Dash Punctuation 5
 
0.4%
Math Symbol 4
 
0.3%
Other Punctuation 4
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 57
 
5.3%
교 57
 
5.3%
등 40
 
3.7%
양 36
 
3.4%
주 33
 
3.1%
원 32
 
3.0%
초 31
 
2.9%
정 18
 
1.7%
점 17
 
1.6%
병 16
 
1.5%
Other values (235) 735
68.6%
Uppercase Letter
ValueCountFrequency (%)
C 5
45.5%
F 2
 
18.2%
K 1
 
9.1%
L 1
 
9.1%
T 1
 
9.1%
D 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 22
95.7%
] 1
 
4.3%
Open Punctuation
ValueCountFrequency (%)
( 22
95.7%
[ 1
 
4.3%
Math Symbol
ValueCountFrequency (%)
< 2
50.0%
> 2
50.0%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
: 2
50.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1088
89.5%
Common 116
 
9.5%
Latin 11
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 57
 
5.2%
교 57
 
5.2%
등 40
 
3.7%
양 36
 
3.3%
주 33
 
3.0%
원 32
 
2.9%
초 31
 
2.8%
정 18
 
1.7%
점 17
 
1.6%
㈜ 16
 
1.5%
Other values (236) 751
69.0%
Common
ValueCountFrequency (%)
56
48.3%
) 22
 
19.0%
( 22
 
19.0%
- 5
 
4.3%
< 2
 
1.7%
. 2
 
1.7%
: 2
 
1.7%
> 2
 
1.7%
2 1
 
0.9%
] 1
 
0.9%
Latin
ValueCountFrequency (%)
C 5
45.5%
F 2
 
18.2%
K 1
 
9.1%
L 1
 
9.1%
T 1
 
9.1%
D 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1072
88.2%
ASCII 127
 
10.5%
None 16
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 57
 
5.3%
교 57
 
5.3%
등 40
 
3.7%
양 36
 
3.4%
주 33
 
3.1%
원 32
 
3.0%
초 31
 
2.9%
정 18
 
1.7%
점 17
 
1.6%
병 16
 
1.5%
Other values (235) 735
68.6%
ASCII
ValueCountFrequency (%)
56
44.1%
) 22
 
17.3%
( 22
 
17.3%
- 5
 
3.9%
C 5
 
3.9%
< 2
 
1.6%
. 2
 
1.6%
: 2
 
1.6%
F 2
 
1.6%
> 2
 
1.6%
Other values (7) 7
 
5.5%
None
ValueCountFrequency (%)
㈜ 16
100.0%

소재지도로명주소
Text

Distinct139
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T03:06:07.330674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length25
Mean length17.657143
Min length10

Characters and Unicode

Total characters2472
Distinct characters121
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)98.6%

Sample

1st row양주시 부흥로 1533
2nd row양주시 경동대학로 27,기숙사동4동지하1층
3rd row양주시 만송로 244 (만송동) 2층
4th row양주시 화합로 1710번길 125
5th row양주시 휴암로 392번길 315
ValueCountFrequency (%)
양주시 140
26.3%
백석읍 17
 
3.2%
장흥면 13
 
2.4%
광적면 12
 
2.3%
화합로 9
 
1.7%
부흥로 9
 
1.7%
평화로 8
 
1.5%
고덕로 5
 
0.9%
은현면 5
 
0.9%
고암길 5
 
0.9%
Other values (242) 309
58.1%
2023-12-13T03:06:07.822576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
403
 
16.3%
1 145
 
5.9%
양 143
 
5.8%
주 143
 
5.8%
시 140
 
5.7%
로 130
 
5.3%
2 81
 
3.3%
4 73
 
3.0%
길 66
 
2.7%
3 62
 
2.5%
Other values (111) 1086
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1303
52.7%
Decimal Number 640
25.9%
Space Separator 403
 
16.3%
Dash Punctuation 43
 
1.7%
Open Punctuation 35
 
1.4%
Close Punctuation 35
 
1.4%
Other Punctuation 12
 
0.5%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 143
 
11.0%
주 143
 
11.0%
시 140
 
10.7%
로 130
 
10.0%
길 66
 
5.1%
번 45
 
3.5%
동 39
 
3.0%
면 34
 
2.6%
고 32
 
2.5%
정 30
 
2.3%
Other values (94) 501
38.4%
Decimal Number
ValueCountFrequency (%)
1 145
22.7%
2 81
12.7%
4 73
11.4%
3 62
9.7%
5 61
9.5%
0 53
 
8.3%
9 46
 
7.2%
8 44
 
6.9%
7 42
 
6.6%
6 33
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 11
91.7%
. 1
 
8.3%
Space Separator
ValueCountFrequency (%)
403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1304
52.8%
Common 1168
47.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 143
 
11.0%
주 143
 
11.0%
시 140
 
10.7%
로 130
 
10.0%
길 66
 
5.1%
번 45
 
3.5%
동 39
 
3.0%
면 34
 
2.6%
고 32
 
2.5%
정 30
 
2.3%
Other values (95) 502
38.5%
Common
ValueCountFrequency (%)
403
34.5%
1 145
 
12.4%
2 81
 
6.9%
4 73
 
6.2%
3 62
 
5.3%
5 61
 
5.2%
0 53
 
4.5%
9 46
 
3.9%
8 44
 
3.8%
- 43
 
3.7%
Other values (6) 157
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1303
52.7%
ASCII 1168
47.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
403
34.5%
1 145
 
12.4%
2 81
 
6.9%
4 73
 
6.2%
3 62
 
5.3%
5 61
 
5.2%
0 53
 
4.5%
9 46
 
3.9%
8 44
 
3.8%
- 43
 
3.7%
Other values (6) 157
 
13.4%
Hangul
ValueCountFrequency (%)
양 143
 
11.0%
주 143
 
11.0%
시 140
 
10.7%
로 130
 
10.0%
길 66
 
5.1%
번 45
 
3.5%
동 39
 
3.0%
면 34
 
2.6%
고 32
 
2.5%
정 30
 
2.3%
Other values (94) 501
38.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

전화번호
Text

Distinct116
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T03:06:08.128099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length12
Mean length12.271429
Min length12

Characters and Unicode

Total characters1718
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)77.9%

Sample

1st row031-8082-4092
2nd row031-869-9000
3rd row031-820-1547
4th row031-860-3693
5th row031-860-7894
ValueCountFrequency (%)
031-000-0000 19
 
13.1%
031-878-6400 3
 
2.1%
031-826-4231 2
 
1.4%
031-871-9410 2
 
1.4%
031-530-8721 2
 
1.4%
031-844-0592 2
 
1.4%
031-869-9000 2
 
1.4%
031-864-0671 2
 
1.4%
2
 
1.4%
070-4694-0066 1
 
0.7%
Other values (108) 108
74.5%
2023-12-13T03:06:08.516778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 388
22.6%
- 284
16.5%
1 208
12.1%
3 186
10.8%
8 174
10.1%
6 101
 
5.9%
4 92
 
5.4%
9 73
 
4.2%
5 72
 
4.2%
2 68
 
4.0%
Other values (3) 72
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1426
83.0%
Dash Punctuation 284
 
16.5%
Space Separator 6
 
0.3%
Other Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 388
27.2%
1 208
14.6%
3 186
13.0%
8 174
12.2%
6 101
 
7.1%
4 92
 
6.5%
9 73
 
5.1%
5 72
 
5.0%
2 68
 
4.8%
7 64
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 284
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1718
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 388
22.6%
- 284
16.5%
1 208
12.1%
3 186
10.8%
8 174
10.1%
6 101
 
5.9%
4 92
 
5.4%
9 73
 
4.2%
5 72
 
4.2%
2 68
 
4.0%
Other values (3) 72
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1718
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 388
22.6%
- 284
16.5%
1 208
12.1%
3 186
10.8%
8 174
10.1%
6 101
 
5.9%
4 92
 
5.4%
9 73
 
4.2%
5 72
 
4.2%
2 68
 
4.0%
Other values (3) 72
 
4.2%

사업장구분
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
집단급식소
100 
음식점
39 
대규모점포
 
1

Length

Max length5
Median length5
Mean length4.4428571
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row집단급식소
2nd row집단급식소
3rd row음식점
4th row집단급식소
5th row집단급식소

Common Values

ValueCountFrequency (%)
집단급식소 100
71.4%
음식점 39
 
27.9%
대규모점포 1
 
0.7%

Length

2023-12-13T03:06:08.651108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:06:08.750896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 100
71.4%
음식점 39
 
27.9%
대규모점포 1
 
0.7%

월배출예상량_Kg
Real number (ℝ)

Distinct60
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2130.8057
Minimum120
Maximum15000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T03:06:08.853791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120
5-th percentile300
Q1807.825
median1500
Q32400
95-th percentile6000
Maximum15000
Range14880
Interquartile range (IQR)1592.175

Descriptive statistics

Standard deviation2345.9554
Coefficient of variation (CV)1.100971
Kurtosis11.964364
Mean2130.8057
Median Absolute Deviation (MAD)840
Skewness3.1051062
Sum298312.8
Variance5503506.7
MonotonicityNot monotonic
2023-12-13T03:06:08.986444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600.0 14
 
10.0%
1500.0 13
 
9.3%
900.0 10
 
7.1%
1200.0 9
 
6.4%
1800.0 8
 
5.7%
2400.0 7
 
5.0%
4500.0 5
 
3.6%
3000.0 5
 
3.6%
660.0 4
 
2.9%
2100.0 3
 
2.1%
Other values (50) 62
44.3%
ValueCountFrequency (%)
120.0 1
0.7%
150.0 2
1.4%
219.0 1
0.7%
240.0 1
0.7%
276.0 1
0.7%
300.0 2
1.4%
420.0 2
1.4%
450.0 1
0.7%
480.0 1
0.7%
510.0 1
0.7%
ValueCountFrequency (%)
15000.0 1
0.7%
12840.0 1
0.7%
12510.0 1
0.7%
11070.0 1
0.7%
6600.0 1
0.7%
6090.0 1
0.7%
6000.0 2
1.4%
5400.0 2
1.4%
5100.0 2
1.4%
4800.0 1
0.7%

신고일자
Date

Distinct68
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2012-02-20 00:00:00
Maximum2023-06-01 00:00:00
2023-12-13T03:06:09.110436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:06:09.225515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-06-23
140 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-23
2nd row2023-06-23
3rd row2023-06-23
4th row2023-06-23
5th row2023-06-23

Common Values

ValueCountFrequency (%)
2023-06-23 140
100.0%

Length

2023-12-13T03:06:09.337943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:06:09.416042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-23 140
100.0%

Interactions

2023-12-13T03:06:05.775038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:06:09.467647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장구분월배출예상량_Kg신고일자
사업장구분1.0000.6260.362
월배출예상량_Kg0.6261.0000.537
신고일자0.3620.5371.000
2023-12-13T03:06:09.550166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월배출예상량_Kg사업장구분
월배출예상량_Kg1.0000.488
사업장구분0.4881.000

Missing values

2023-12-13T03:06:05.914091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:06:06.062391image/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

시군명상호명소재지도로명주소전화번호사업장구분월배출예상량_Kg신고일자데이터기준일자
0양주시양주시청 구내식당양주시 부흥로 1533031-8082-4092집단급식소3900.02012-02-202023-06-23
1양주시경동대학교 기숙사식당양주시 경동대학로 27,기숙사동4동지하1층031-869-9000집단급식소690.02014-04-292023-06-23
2양주시레이크우드C.C클럽하우스 레스토랑양주시 만송로 244 (만송동) 2층031-820-1547음식점1800.02014-05-222023-06-23
3양주시대륜발전(위탁:아워홈)양주시 화합로 1710번길 125031-860-3693집단급식소900.02014-05-222023-06-23
4양주시뉴옵틱스 양주점[㈜아워홈뉴옵틱스]양주시 휴암로 392번길 315031-860-7894집단급식소1500.02014-06-222023-06-23
5양주시(주)카스(씨제이프레시웨이 카스)양주시 광적면 그루고개로 262031-820-1134집단급식소1500.02014-10-162023-06-23
6양주시주식회사 LF ( 아워홈 위탁)양주시 평화로1597번길 41070-8610-5120집단급식소600.02015-06-222023-06-23
7양주시예쓰요양병원양주시 회정로 109번길 7-20031-864-5500집단급식소1800.02015-09-152023-06-23
8양주시㈜인터엠구내식당양주시 화합로 1402번길 73031-860-7099집단급식소540.02015-10-052023-06-23
9양주시양주유치원양주시 옥정동로 240(율정동 386-4)031-864-9262집단급식소1470.02016-03-032023-06-23
시군명상호명소재지도로명주소전화번호사업장구분월배출예상량_Kg신고일자데이터기준일자
130양주시㈜케이에프씨코리아 KFC양주고읍점양주시 고읍남로 24,레드프라자 106호031-000-0000음식점600.02022-03-252023-06-23
131양주시㈜신세계푸드 레이크우드C.C 직원식당양주시 만송로 244,1층 직원식당031-000-0000음식점2301.02022-04-062023-06-23
132양주시동두천포천티엠에스(삼성힐링요양원)양주시 장흥면 가마골로 246-10,지하1층031-000-0000집단급식소1590.02022-05-092023-06-23
133양주시미담양주시 율정로 324,1층031-000-0000음식점3000.02022-05-242023-06-23
134양주시강경불고기양주시 송랑로 108031-000-0000음식점1500.02022-06-092023-06-23
135양주시㈜양주담소정양주시 옥정동 904-1031-000-0000음식점1200.02022-12-152023-06-23
136양주시㈜태성공업 가납리공장(위탁: 모심푸드)양주시 광적면 그루고개로 188번길 7-85,㈜파인테크닉스 공장동 나동 지하1층(그루고개로 188번길 7)031-864-0671집단급식소1200.02023-02-102023-06-23
137양주시본우리집밥 혜성프로비젼2공장점양주시 백석읍 권율로1253번길 39-29,1층031-000-0000집단급식소1500.02023-02-202023-06-23
138양주시연푸른초등학교양주시 옥정서로1길 27031-868-1155집단급식소2100.02023-03-082023-06-23
139양주시㈜우림관 광적점양주시 광적면 삼일로 29번길 145,2층031-000-0000음식점1500.02023-06-012023-06-23