Overview

Dataset statistics

Number of variables6
Number of observations351
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.3 KiB
Average record size in memory50.4 B

Variable types

Numeric2
Text2
Categorical1
DateTime1

Dataset

Description대구광역시 달서구_사업장 폐기물 배출자 현황_20210128
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15060192&dataSetDetailId=150601921bf496a1bdc76&provdMethod=FILE

Alerts

담당부서 has constant value ""Constant
기준일자 has constant value ""Constant
상호 has unique valuesUnique

Reproduction

Analysis started2024-04-19 05:18:55.275689
Analysis finished2024-04-19 05:18:55.956970
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

Distinct341
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.837498
Minimum35.802888
Maximum35.865476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:18:56.031451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.802888
5-th percentile35.816265
Q135.829107
median35.83869
Q335.847745
95-th percentile35.855099
Maximum35.865476
Range0.06258831
Interquartile range (IQR)0.01863834

Descriptive statistics

Standard deviation0.01267579
Coefficient of variation (CV)0.00035370186
Kurtosis-0.39627312
Mean35.837498
Median Absolute Deviation (MAD)0.00930222
Skewness-0.33997861
Sum12578.962
Variance0.00016067565
MonotonicityNot monotonic
2024-04-19T14:18:56.165657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.83416564 3
 
0.9%
35.82076831 2
 
0.6%
35.84757586 2
 
0.6%
35.8501251 2
 
0.6%
35.84099142 2
 
0.6%
35.83112494 2
 
0.6%
35.8455096 2
 
0.6%
35.83081152 2
 
0.6%
35.84799212 2
 
0.6%
35.81009792 1
 
0.3%
Other values (331) 331
94.3%
ValueCountFrequency (%)
35.80288797 1
0.3%
35.80323492 1
0.3%
35.80527804 1
0.3%
35.80560062 1
0.3%
35.80606469 1
0.3%
35.80724093 1
0.3%
35.80724278 1
0.3%
35.81009792 1
0.3%
35.8105786 1
0.3%
35.8110469 1
0.3%
ValueCountFrequency (%)
35.86547628 1
0.3%
35.86231162 1
0.3%
35.86174911 1
0.3%
35.86141536 1
0.3%
35.86138023 1
0.3%
35.86129482 1
0.3%
35.86108125 1
0.3%
35.8606118 1
0.3%
35.86041167 1
0.3%
35.86040246 1
0.3%

경도
Real number (ℝ)

Distinct340
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.51452
Minimum128.473
Maximum128.5742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-19T14:18:56.296504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.473
5-th percentile128.48176
Q1128.49939
median128.50972
Q3128.53001
95-th percentile128.55533
Maximum128.5742
Range0.1011984
Interquartile range (IQR)0.03061895

Descriptive statistics

Standard deviation0.021861126
Coefficient of variation (CV)0.00017010628
Kurtosis-0.14538406
Mean128.51452
Median Absolute Deviation (MAD)0.0129699
Skewness0.5844734
Sum45108.596
Variance0.00047790884
MonotonicityNot monotonic
2024-04-19T14:18:56.421400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5086179 3
 
0.9%
128.5363099 2
 
0.6%
128.5363662 2
 
0.6%
128.5058498 2
 
0.6%
128.5462195 2
 
0.6%
128.5087731 2
 
0.6%
128.5003284 2
 
0.6%
128.5107212 2
 
0.6%
128.4939134 2
 
0.6%
128.5301312 2
 
0.6%
Other values (330) 330
94.0%
ValueCountFrequency (%)
128.4730044 1
0.3%
128.4736813 1
0.3%
128.4740314 1
0.3%
128.4740481 1
0.3%
128.4742935 1
0.3%
128.4753851 1
0.3%
128.4756417 1
0.3%
128.4759867 1
0.3%
128.4776987 1
0.3%
128.4791065 1
0.3%
ValueCountFrequency (%)
128.5742028 1
0.3%
128.5737212 1
0.3%
128.5732847 1
0.3%
128.5731899 1
0.3%
128.5725682 1
0.3%
128.5721578 1
0.3%
128.5668815 1
0.3%
128.5636973 1
0.3%
128.5616278 1
0.3%
128.5615885 1
0.3%

상호
Text

UNIQUE 

Distinct351
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-19T14:18:56.605937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length7.6638177
Min length2

Characters and Unicode

Total characters2690
Distinct characters340
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique351 ?
Unique (%)100.0%

Sample

1st row(주)대한실업
2nd row계명대학교
3rd row대호프라스틱
4th row삼화식품공사
5th row(주)금복주
ValueCountFrequency (%)
주식회사 18
 
4.3%
대구공장 3
 
0.7%
의료법인 3
 
0.7%
㈜성진포머 2
 
0.5%
대구환경공단 2
 
0.5%
대구광역시 2
 
0.5%
대구지점 2
 
0.5%
상가관리단 2
 
0.5%
협동조합 1
 
0.2%
㈜범창케이에프 1
 
0.2%
Other values (378) 378
91.3%
2024-04-19T14:18:57.203960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 128
 
4.8%
( 107
 
4.0%
) 107
 
4.0%
대 79
 
2.9%
㈜ 66
 
2.5%
64
 
2.4%
성 53
 
2.0%
구 53
 
2.0%
원 52
 
1.9%
이 52
 
1.9%
Other values (330) 1929
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2305
85.7%
Open Punctuation 107
 
4.0%
Close Punctuation 107
 
4.0%
Other Symbol 66
 
2.5%
Space Separator 64
 
2.4%
Uppercase Letter 30
 
1.1%
Decimal Number 8
 
0.3%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 128
 
5.6%
대 79
 
3.4%
성 53
 
2.3%
구 53
 
2.3%
원 52
 
2.3%
이 52
 
2.3%
공 51
 
2.2%
스 48
 
2.1%
사 37
 
1.6%
업 36
 
1.6%
Other values (303) 1716
74.4%
Uppercase Letter
ValueCountFrequency (%)
T 6
20.0%
A 3
 
10.0%
S 2
 
6.7%
V 2
 
6.7%
H 2
 
6.7%
K 2
 
6.7%
D 1
 
3.3%
O 1
 
3.3%
R 1
 
3.3%
P 1
 
3.3%
Other values (9) 9
30.0%
Decimal Number
ValueCountFrequency (%)
2 6
75.0%
1 2
 
25.0%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
/ 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 66
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2371
88.1%
Common 289
 
10.7%
Latin 30
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 128
 
5.4%
대 79
 
3.3%
㈜ 66
 
2.8%
성 53
 
2.2%
구 53
 
2.2%
원 52
 
2.2%
이 52
 
2.2%
공 51
 
2.2%
스 48
 
2.0%
사 37
 
1.6%
Other values (304) 1752
73.9%
Latin
ValueCountFrequency (%)
T 6
20.0%
A 3
 
10.0%
S 2
 
6.7%
V 2
 
6.7%
H 2
 
6.7%
K 2
 
6.7%
D 1
 
3.3%
O 1
 
3.3%
R 1
 
3.3%
P 1
 
3.3%
Other values (9) 9
30.0%
Common
ValueCountFrequency (%)
( 107
37.0%
) 107
37.0%
64
22.1%
2 6
 
2.1%
& 2
 
0.7%
1 2
 
0.7%
/ 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2305
85.7%
ASCII 319
 
11.9%
None 66
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 128
 
5.6%
대 79
 
3.4%
성 53
 
2.3%
구 53
 
2.3%
원 52
 
2.3%
이 52
 
2.3%
공 51
 
2.2%
스 48
 
2.1%
사 37
 
1.6%
업 36
 
1.6%
Other values (303) 1716
74.4%
ASCII
ValueCountFrequency (%)
( 107
33.5%
) 107
33.5%
64
20.1%
T 6
 
1.9%
2 6
 
1.9%
A 3
 
0.9%
& 2
 
0.6%
S 2
 
0.6%
1 2
 
0.6%
V 2
 
0.6%
Other values (16) 18
 
5.6%
None
ValueCountFrequency (%)
㈜ 66
100.0%

주소
Text

Distinct344
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-04-19T14:18:57.423209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length34
Mean length24.598291
Min length20

Characters and Unicode

Total characters8634
Distinct characters112
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique338 ?
Unique (%)96.3%

Sample

1st row대구광역시 달서구 성서로72길 82 (갈산동)
2nd row대구광역시 달서구 달구벌대로 1095 (신당동)
3rd row대구광역시 달서구 성서로71길 7 (갈산동)
4th row대구광역시 달서구 성서로 281 (갈산동)
5th row대구광역시 달서구 성서로 276 (장동)
ValueCountFrequency (%)
대구광역시 351
21.7%
달서구 351
21.7%
대천동 32
 
2.0%
갈산동 28
 
1.7%
월암동 22
 
1.4%
성서로 19
 
1.2%
월배로 19
 
1.2%
성서공단로 18
 
1.1%
달구벌대로 17
 
1.0%
이곡동 15
 
0.9%
Other values (434) 749
46.2%
2024-04-19T14:18:57.770950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1270
 
14.7%
구 736
 
8.5%
서 572
 
6.6%
대 459
 
5.3%
달 407
 
4.7%
동 371
 
4.3%
시 351
 
4.1%
광 351
 
4.1%
역 351
 
4.1%
( 349
 
4.0%
Other values (102) 3417
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5474
63.4%
Space Separator 1270
 
14.7%
Decimal Number 1165
 
13.5%
Open Punctuation 349
 
4.0%
Close Punctuation 349
 
4.0%
Dash Punctuation 16
 
0.2%
Connector Punctuation 7
 
0.1%
Other Punctuation 3
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 736
13.4%
서 572
10.4%
대 459
 
8.4%
달 407
 
7.4%
동 371
 
6.8%
시 351
 
6.4%
광 351
 
6.4%
역 351
 
6.4%
로 342
 
6.2%
성 199
 
3.6%
Other values (85) 1335
24.4%
Decimal Number
ValueCountFrequency (%)
1 205
17.6%
2 173
14.8%
5 140
12.0%
3 139
11.9%
4 118
10.1%
0 98
8.4%
6 94
8.1%
7 74
 
6.4%
8 63
 
5.4%
9 61
 
5.2%
Space Separator
ValueCountFrequency (%)
1270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 349
100.0%
Close Punctuation
ValueCountFrequency (%)
) 349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5474
63.4%
Common 3159
36.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 736
13.4%
서 572
10.4%
대 459
 
8.4%
달 407
 
7.4%
동 371
 
6.8%
시 351
 
6.4%
광 351
 
6.4%
역 351
 
6.4%
로 342
 
6.2%
성 199
 
3.6%
Other values (85) 1335
24.4%
Common
ValueCountFrequency (%)
1270
40.2%
( 349
 
11.0%
) 349
 
11.0%
1 205
 
6.5%
2 173
 
5.5%
5 140
 
4.4%
3 139
 
4.4%
4 118
 
3.7%
0 98
 
3.1%
6 94
 
3.0%
Other values (6) 224
 
7.1%
Latin
ValueCountFrequency (%)
M 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5474
63.4%
ASCII 3160
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1270
40.2%
( 349
 
11.0%
) 349
 
11.0%
1 205
 
6.5%
2 173
 
5.5%
5 140
 
4.4%
3 139
 
4.4%
4 118
 
3.7%
0 98
 
3.1%
6 94
 
3.0%
Other values (7) 225
 
7.1%
Hangul
ValueCountFrequency (%)
구 736
13.4%
서 572
10.4%
대 459
 
8.4%
달 407
 
7.4%
동 371
 
6.8%
시 351
 
6.4%
광 351
 
6.4%
역 351
 
6.4%
로 342
 
6.2%
성 199
 
3.6%
Other values (85) 1335
24.4%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
대구광역시 달서구 청소과
351 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달서구 청소과
2nd row대구광역시 달서구 청소과
3rd row대구광역시 달서구 청소과
4th row대구광역시 달서구 청소과
5th row대구광역시 달서구 청소과

Common Values

ValueCountFrequency (%)
대구광역시 달서구 청소과 351
100.0%

Length

2024-04-19T14:18:57.891211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-19T14:18:57.978867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 351
33.3%
달서구 351
33.3%
청소과 351
33.3%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2021-01-28 00:00:00
Maximum2021-01-28 00:00:00
2024-04-19T14:18:58.049254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:18:58.131256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-19T14:18:55.671184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:18:55.521756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:18:55.748037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:18:55.597869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-19T14:18:58.191846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.578
경도0.5781.000
2024-04-19T14:18:58.270426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.085
경도-0.0851.000

Missing values

2024-04-19T14:18:55.835155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:18:55.919103image/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

위도경도상호주소담당부서기준일자
035.848832128.512343(주)대한실업대구광역시 달서구 성서로72길 82 (갈산동)대구광역시 달서구 청소과2021-01-28
135.853557128.481495계명대학교대구광역시 달서구 달구벌대로 1095 (신당동)대구광역시 달서구 청소과2021-01-28
235.849119128.506322대호프라스틱대구광역시 달서구 성서로71길 7 (갈산동)대구광역시 달서구 청소과2021-01-28
335.843126128.506195삼화식품공사대구광역시 달서구 성서로 281 (갈산동)대구광역시 달서구 청소과2021-01-28
435.841921128.507749(주)금복주대구광역시 달서구 성서로 276 (장동)대구광역시 달서구 청소과2021-01-28
535.831397128.489607한국지역난방공사대구광역시 달서구 달서대로 351 (대천동)대구광역시 달서구 청소과2021-01-28
635.823484128.495867대구환경공단 서부사업소대구광역시 달서구 달서대로 210 (대천동)대구광역시 달서구 청소과2021-01-28
735.841946128.493137(주)대구비철금속협업단지대구광역시 달서구 달서대로 480-10 (갈산동)대구광역시 달서구 청소과2021-01-28
835.851086128.503855(주)삼영섬유대구광역시 달서구 달구벌대로250길 5 (이곡동)대구광역시 달서구 청소과2021-01-28
935.841983128.497233에이원코퍼레이션대구광역시 달서구 성서서로33길 34 (갈산동)대구광역시 달서구 청소과2021-01-28
위도경도상호주소담당부서기준일자
34135.833736128.503546도양산업대구광역시 달서구 성서공단로 194-18(월암동)대구광역시 달서구 청소과2021-01-28
34235.835247128.535577남대구요양병원대구광역시 달서구 와룡로5길 20 (본동)대구광역시 달서구 청소과2021-01-28
34335.822222128.502521(주)유신하이테크대구광역시 달서구 성서로5길 32 (대천동)대구광역시 달서구 청소과2021-01-28
34435.821817128.519207(주)코시스피앤에스대구광역시 달서구 조암로 105_ 그루조암타워 3층 (월성동)대구광역시 달서구 청소과2021-01-28
34535.849329128.497157세림실업(주)대구광역시 달서구 달구벌대로240길 26 (신당동)대구광역시 달서구 청소과2021-01-28
34635.850125128.530131신홍도요양병원대구광역시 달서구 용산로 141_ 그랜드M 타워 (용산동)대구광역시 달서구 청소과2021-01-28
34735.847576128.493913코어텍(주)대구광역시 달서구 달서대로 552 (신당동)대구광역시 달서구 청소과2021-01-28
34835.840913128.519853생림비철금속대구광역시 달서구 장기로 380_ 외 2필지 (장기동)대구광역시 달서구 청소과2021-01-28
34935.83357128.519273미래써모텍대구광역시 달서구 성서로36안길 21-10 (월성동)대구광역시 달서구 청소과2021-01-28
35035.847992128.510721리안테크대구광역시 달서구 성서공단북로69길 53 (갈산동)대구광역시 달서구 청소과2021-01-28