Overview

Dataset statistics

Number of variables9
Number of observations681
Missing cells75
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.0 KiB
Average record size in memory75.2 B

Variable types

Text5
Categorical2
Numeric2

Dataset

Description대구광역시 달서구_폐수배출시설_07/06/2021
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15084443&dataSetDetailId=150844431a4981acb40a8&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
폐수종별 is highly imbalanced (70.3%)Imbalance
전화번호 has 75 (11.0%) missing valuesMissing

Reproduction

Analysis started2024-04-21 02:03:05.943971
Analysis finished2024-04-21 02:03:07.900122
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct676
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-21T11:03:08.668389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length6.3318649
Min length2

Characters and Unicode

Total characters4312
Distinct characters406
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique671 ?
Unique (%)98.5%

Sample

1st row대경실크
2nd row대기에너지㈜ 서남점
3rd row보광병원
4th row창평세차장
5th rowSK에너지㈜ 상인주유소
ValueCountFrequency (%)
주식회사 9
 
1.2%
대구공장 5
 
0.7%
한국osg㈜ 3
 
0.4%
대구지점 3
 
0.4%
흥구석유㈜ 3
 
0.4%
성창섬유 2
 
0.3%
대성산업㈜ 2
 
0.3%
신한정공㈜ 2
 
0.3%
㈜성진포머 2
 
0.3%
2공장 2
 
0.3%
Other values (714) 722
95.6%
2024-04-21T11:03:09.780934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 271
 
6.3%
대 121
 
2.8%
성 94
 
2.2%
스 93
 
2.2%
주 92
 
2.1%
유 85
 
2.0%
업 84
 
1.9%
공 78
 
1.8%
이 78
 
1.8%
76
 
1.8%
Other values (396) 3240
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3668
85.1%
Other Symbol 271
 
6.3%
Uppercase Letter 135
 
3.1%
Space Separator 76
 
1.8%
Open Punctuation 53
 
1.2%
Close Punctuation 53
 
1.2%
Decimal Number 21
 
0.5%
Other Punctuation 17
 
0.4%
Lowercase Letter 17
 
0.4%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 121
 
3.3%
성 94
 
2.6%
스 93
 
2.5%
주 92
 
2.5%
유 85
 
2.3%
업 84
 
2.3%
공 78
 
2.1%
이 78
 
2.1%
산 73
 
2.0%
세 69
 
1.9%
Other values (352) 2801
76.4%
Uppercase Letter
ValueCountFrequency (%)
S 18
13.3%
K 12
 
8.9%
C 11
 
8.1%
E 10
 
7.4%
T 9
 
6.7%
O 9
 
6.7%
G 8
 
5.9%
B 7
 
5.2%
A 6
 
4.4%
P 6
 
4.4%
Other values (13) 39
28.9%
Lowercase Letter
ValueCountFrequency (%)
r 3
17.6%
e 3
17.6%
z 2
11.8%
o 2
11.8%
h 2
11.8%
a 2
11.8%
w 1
 
5.9%
i 1
 
5.9%
c 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 14
66.7%
1 4
 
19.0%
8 2
 
9.5%
4 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
& 9
52.9%
. 7
41.2%
, 1
 
5.9%
Other Symbol
ValueCountFrequency (%)
㈜ 271
100.0%
Space Separator
ValueCountFrequency (%)
76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3939
91.3%
Common 220
 
5.1%
Latin 153
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 271
 
6.9%
대 121
 
3.1%
성 94
 
2.4%
스 93
 
2.4%
주 92
 
2.3%
유 85
 
2.2%
업 84
 
2.1%
공 78
 
2.0%
이 78
 
2.0%
산 73
 
1.9%
Other values (353) 2870
72.9%
Latin
ValueCountFrequency (%)
S 18
 
11.8%
K 12
 
7.8%
C 11
 
7.2%
E 10
 
6.5%
T 9
 
5.9%
O 9
 
5.9%
G 8
 
5.2%
B 7
 
4.6%
A 6
 
3.9%
P 6
 
3.9%
Other values (23) 57
37.3%
Common
ValueCountFrequency (%)
76
34.5%
( 53
24.1%
) 53
24.1%
2 14
 
6.4%
& 9
 
4.1%
. 7
 
3.2%
1 4
 
1.8%
8 2
 
0.9%
4 1
 
0.5%
, 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3668
85.1%
ASCII 372
 
8.6%
None 271
 
6.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 271
100.0%
Hangul
ValueCountFrequency (%)
대 121
 
3.3%
성 94
 
2.6%
스 93
 
2.5%
주 92
 
2.5%
유 85
 
2.3%
업 84
 
2.3%
공 78
 
2.1%
이 78
 
2.1%
산 73
 
2.0%
세 69
 
1.9%
Other values (352) 2801
76.4%
ASCII
ValueCountFrequency (%)
76
20.4%
( 53
14.2%
) 53
14.2%
S 18
 
4.8%
2 14
 
3.8%
K 12
 
3.2%
C 11
 
3.0%
E 10
 
2.7%
T 9
 
2.4%
& 9
 
2.4%
Other values (32) 107
28.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

업종
Text

Distinct232
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-21T11:03:10.566473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length8.4831131
Min length3

Characters and Unicode

Total characters5777
Distinct characters205
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

Unique150 ?
Unique (%)22.0%

Sample

1st row섬유제품제조업
2nd row가스충전업(세차시설)
3rd row병원시설
4th row세차업
5th row주유소(세차업)
ValueCountFrequency (%)
자동차세차업 59
 
6.7%
및 45
 
5.1%
세차업 43
 
4.9%
섬유제품제조업 38
 
4.3%
주유소(세차업 36
 
4.1%
금속제품제조업 30
 
3.4%
제조업 29
 
3.3%
조립금속제품제조업 21
 
2.4%
도장및기타피막처리업 21
 
2.4%
자동차부품제조업 17
 
1.9%
Other values (263) 537
61.3%
2024-04-21T11:03:11.618968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 654
 
11.3%
제 497
 
8.6%
조 355
 
6.1%
차 279
 
4.8%
품 232
 
4.0%
196
 
3.4%
세 163
 
2.8%
기 156
 
2.7%
및 152
 
2.6%
유 140
 
2.4%
Other values (195) 2953
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5439
94.1%
Space Separator 196
 
3.4%
Close Punctuation 60
 
1.0%
Open Punctuation 60
 
1.0%
Other Punctuation 17
 
0.3%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 654
 
12.0%
제 497
 
9.1%
조 355
 
6.5%
차 279
 
5.1%
품 232
 
4.3%
세 163
 
3.0%
기 156
 
2.9%
및 152
 
2.8%
유 140
 
2.6%
자 131
 
2.4%
Other values (190) 2680
49.3%
Space Separator
ValueCountFrequency (%)
196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Decimal Number
ValueCountFrequency (%)
1 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5439
94.1%
Common 338
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 654
 
12.0%
제 497
 
9.1%
조 355
 
6.5%
차 279
 
5.1%
품 232
 
4.3%
세 163
 
3.0%
기 156
 
2.9%
및 152
 
2.8%
유 140
 
2.6%
자 131
 
2.4%
Other values (190) 2680
49.3%
Common
ValueCountFrequency (%)
196
58.0%
) 60
 
17.8%
( 60
 
17.8%
, 17
 
5.0%
1 5
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5439
94.1%
ASCII 338
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 654
 
12.0%
제 497
 
9.1%
조 355
 
6.5%
차 279
 
5.1%
품 232
 
4.3%
세 163
 
3.0%
기 156
 
2.9%
및 152
 
2.8%
유 140
 
2.6%
자 131
 
2.4%
Other values (190) 2680
49.3%
ASCII
ValueCountFrequency (%)
196
58.0%
) 60
 
17.8%
( 60
 
17.8%
, 17
 
5.0%
1 5
 
1.5%

폐수종별
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
5
598 
4
 
51
3
 
26
2
 
5
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row5
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 598
87.8%
4 51
 
7.5%
3 26
 
3.8%
2 5
 
0.7%
1 1
 
0.1%

Length

2024-04-21T11:03:11.860193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:03:12.061584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 598
87.8%
4 51
 
7.5%
3 26
 
3.8%
2 5
 
0.7%
1 1
 
0.1%

소재지도로명주소
Text

Distinct662
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-21T11:03:12.885913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length25.587372
Min length15

Characters and Unicode

Total characters17425
Distinct characters103
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique649 ?
Unique (%)95.3%

Sample

1st row대구광역시 달서구 조암로22길 50(월암동)
2nd row대구광역시 달서구 달구벌대로 1631(감삼동)
3rd row대구광역시 달서구 구마로 128(본동)
4th row대구광역시 달서구 상인서로 8-3(상인동)
5th row대구광역시 달서구 월배로 200(상인동)
ValueCountFrequency (%)
대구광역시 680
21.2%
달서구 677
21.1%
갈산동 106
 
3.3%
대천동 72
 
2.2%
월암동 67
 
2.1%
장동 53
 
1.7%
성서공단로 37
 
1.2%
신당동 34
 
1.1%
성서로 30
 
0.9%
성서공단북로 30
 
0.9%
Other values (595) 1418
44.3%
2024-04-21T11:03:14.271866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2685
 
15.4%
구 1410
 
8.1%
서 1215
 
7.0%
대 891
 
5.1%
달 789
 
4.5%
동 726
 
4.2%
광 680
 
3.9%
역 680
 
3.9%
시 680
 
3.9%
( 679
 
3.9%
Other values (93) 6990
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10744
61.7%
Space Separator 2685
 
15.4%
Decimal Number 2371
 
13.6%
Open Punctuation 679
 
3.9%
Close Punctuation 679
 
3.9%
Other Punctuation 201
 
1.2%
Dash Punctuation 61
 
0.4%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1410
13.1%
서 1215
11.3%
대 891
 
8.3%
달 789
 
7.3%
동 726
 
6.8%
광 680
 
6.3%
역 680
 
6.3%
시 680
 
6.3%
로 658
 
6.1%
성 446
 
4.2%
Other values (75) 2569
23.9%
Decimal Number
ValueCountFrequency (%)
1 419
17.7%
2 314
13.2%
5 299
12.6%
3 276
11.6%
4 216
9.1%
6 195
8.2%
9 174
7.3%
7 164
 
6.9%
0 158
 
6.7%
8 156
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
60.0%
B 1
 
20.0%
L 1
 
20.0%
Space Separator
ValueCountFrequency (%)
2685
100.0%
Open Punctuation
ValueCountFrequency (%)
( 679
100.0%
Close Punctuation
ValueCountFrequency (%)
) 679
100.0%
Other Punctuation
ValueCountFrequency (%)
, 201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10744
61.7%
Common 6676
38.3%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1410
13.1%
서 1215
11.3%
대 891
 
8.3%
달 789
 
7.3%
동 726
 
6.8%
광 680
 
6.3%
역 680
 
6.3%
시 680
 
6.3%
로 658
 
6.1%
성 446
 
4.2%
Other values (75) 2569
23.9%
Common
ValueCountFrequency (%)
2685
40.2%
( 679
 
10.2%
) 679
 
10.2%
1 419
 
6.3%
2 314
 
4.7%
5 299
 
4.5%
3 276
 
4.1%
4 216
 
3.2%
, 201
 
3.0%
6 195
 
2.9%
Other values (5) 713
 
10.7%
Latin
ValueCountFrequency (%)
A 3
60.0%
B 1
 
20.0%
L 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10744
61.7%
ASCII 6681
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2685
40.2%
( 679
 
10.2%
) 679
 
10.2%
1 419
 
6.3%
2 314
 
4.7%
5 299
 
4.5%
3 276
 
4.1%
4 216
 
3.2%
, 201
 
3.0%
6 195
 
2.9%
Other values (8) 718
 
10.7%
Hangul
ValueCountFrequency (%)
구 1410
13.1%
서 1215
11.3%
대 891
 
8.3%
달 789
 
7.3%
동 726
 
6.8%
광 680
 
6.3%
역 680
 
6.3%
시 680
 
6.3%
로 658
 
6.1%
성 446
 
4.2%
Other values (75) 2569
23.9%

소재지지번주소
Text

Distinct648
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-04-21T11:03:15.621986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length9.2599119
Min length5

Characters and Unicode

Total characters6306
Distinct characters57
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique623 ?
Unique (%)91.5%

Sample

1st row월암동 715
2nd row감삼동 64-2
3rd row본동 820-1
4th row상인동 1554-3
5th row상인동 251-1,251-11
ValueCountFrequency (%)
갈산동 132
 
9.4%
월암동 96
 
6.9%
대천동 93
 
6.7%
장동 71
 
5.1%
신당동 41
 
2.9%
호산동 34
 
2.4%
월성동 27
 
1.9%
호림동 23
 
1.6%
파호동 21
 
1.5%
장기동 19
 
1.4%
Other values (674) 840
60.1%
2024-04-21T11:03:17.476021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
729
 
11.6%
동 688
 
10.9%
1 610
 
9.7%
- 552
 
8.8%
0 385
 
6.1%
3 320
 
5.1%
2 288
 
4.6%
5 259
 
4.1%
7 250
 
4.0%
8 232
 
3.7%
Other values (47) 1993
31.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2936
46.6%
Other Letter 2056
32.6%
Space Separator 729
 
11.6%
Dash Punctuation 552
 
8.8%
Other Punctuation 28
 
0.4%
Uppercase Letter 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 688
33.5%
산 172
 
8.4%
갈 132
 
6.4%
월 123
 
6.0%
천 106
 
5.2%
대 99
 
4.8%
암 96
 
4.7%
장 90
 
4.4%
호 82
 
4.0%
당 55
 
2.7%
Other values (31) 413
20.1%
Decimal Number
ValueCountFrequency (%)
1 610
20.8%
0 385
13.1%
3 320
10.9%
2 288
9.8%
5 259
8.8%
7 250
8.5%
8 232
 
7.9%
6 230
 
7.8%
9 211
 
7.2%
4 151
 
5.1%
Space Separator
ValueCountFrequency (%)
729
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 552
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4247
67.3%
Hangul 2056
32.6%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 688
33.5%
산 172
 
8.4%
갈 132
 
6.4%
월 123
 
6.0%
천 106
 
5.2%
대 99
 
4.8%
암 96
 
4.7%
장 90
 
4.4%
호 82
 
4.0%
당 55
 
2.7%
Other values (31) 413
20.1%
Common
ValueCountFrequency (%)
729
17.2%
1 610
14.4%
- 552
13.0%
0 385
9.1%
3 320
7.5%
2 288
 
6.8%
5 259
 
6.1%
7 250
 
5.9%
8 232
 
5.5%
6 230
 
5.4%
Other values (5) 392
9.2%
Latin
ValueCountFrequency (%)
A 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4250
67.4%
Hangul 2056
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
729
17.2%
1 610
14.4%
- 552
13.0%
0 385
9.1%
3 320
7.5%
2 288
 
6.8%
5 259
 
6.1%
7 250
 
5.9%
8 232
 
5.5%
6 230
 
5.4%
Other values (6) 395
9.3%
Hangul
ValueCountFrequency (%)
동 688
33.5%
산 172
 
8.4%
갈 132
 
6.4%
월 123
 
6.0%
천 106
 
5.2%
대 99
 
4.8%
암 96
 
4.7%
장 90
 
4.4%
호 82
 
4.0%
당 55
 
2.7%
Other values (31) 413
20.1%

위도
Real number (ℝ)

Distinct632
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.837346
Minimum35.802825
Maximum35.865104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-21T11:03:17.716365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.802825
5-th percentile35.819201
Q135.830047
median35.838632
Q335.845451
95-th percentile35.851388
Maximum35.865104
Range0.062279
Interquartile range (IQR)0.015404

Descriptive statistics

Standard deviation0.01066378
Coefficient of variation (CV)0.00029756055
Kurtosis0.18447647
Mean35.837346
Median Absolute Deviation (MAD)0.007193
Skewness-0.5350972
Sum24405.233
Variance0.00011371621
MonotonicityNot monotonic
2024-04-21T11:03:17.969901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.84393 7
 
1.0%
35.846427 4
 
0.6%
35.844949 4
 
0.6%
35.836342 4
 
0.6%
35.842866 3
 
0.4%
35.845642 3
 
0.4%
35.842838 2
 
0.3%
35.825313 2
 
0.3%
35.832085 2
 
0.3%
35.839083 2
 
0.3%
Other values (622) 648
95.2%
ValueCountFrequency (%)
35.802825 1
0.1%
35.804675 1
0.1%
35.807 1
0.1%
35.807006 1
0.1%
35.80702 1
0.1%
35.807185 1
0.1%
35.807674 1
0.1%
35.807878 1
0.1%
35.8084 1
0.1%
35.809115 1
0.1%
ValueCountFrequency (%)
35.865104 1
0.1%
35.864071 1
0.1%
35.863418 1
0.1%
35.861696 1
0.1%
35.859459 1
0.1%
35.859321 1
0.1%
35.85894 1
0.1%
35.858383 1
0.1%
35.858351 1
0.1%
35.85818 1
0.1%

경도
Real number (ℝ)

Distinct638
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.50885
Minimum128.47362
Maximum128.56923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-04-21T11:03:18.227063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47362
5-th percentile128.48119
Q1128.49768
median128.50611
Q3128.51663
95-th percentile128.54695
Maximum128.56923
Range0.09561
Interquartile range (IQR)0.018952

Descriptive statistics

Standard deviation0.018093193
Coefficient of variation (CV)0.00014079336
Kurtosis0.53697248
Mean128.50885
Median Absolute Deviation (MAD)0.0092
Skewness0.72634512
Sum87514.526
Variance0.00032736364
MonotonicityNot monotonic
2024-04-21T11:03:18.677145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.509964 7
 
1.0%
128.509982 4
 
0.6%
128.512195 4
 
0.6%
128.520321 4
 
0.6%
128.510086 3
 
0.4%
128.49301 3
 
0.4%
128.502565 2
 
0.3%
128.514267 2
 
0.3%
128.489484 2
 
0.3%
128.514069 2
 
0.3%
Other values (628) 648
95.2%
ValueCountFrequency (%)
128.473622 1
0.1%
128.473779 1
0.1%
128.474031 1
0.1%
128.474373 1
0.1%
128.47447 1
0.1%
128.474681 1
0.1%
128.47522 2
0.3%
128.47529 1
0.1%
128.475314 1
0.1%
128.475354 1
0.1%
ValueCountFrequency (%)
128.569232 1
0.1%
128.567257 1
0.1%
128.566157 1
0.1%
128.565192 1
0.1%
128.557609 1
0.1%
128.556334 1
0.1%
128.556145 1
0.1%
128.555269 1
0.1%
128.554367 1
0.1%
128.554252 1
0.1%

전화번호
Text

MISSING 

Distinct586
Distinct (%)96.7%
Missing75
Missing (%)11.0%
Memory size5.4 KiB
2024-04-21T11:03:19.811637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.0165017
Min length8

Characters and Unicode

Total characters4858
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

Unique566 ?
Unique (%)93.4%

Sample

1st row631-1316
2nd row566-4523
3rd row527-3231
4th row632-3023
5th row632-6962
ValueCountFrequency (%)
358-4477 2
 
0.3%
581-5033 2
 
0.3%
583-0002 2
 
0.3%
583-2483 2
 
0.3%
584-8134 2
 
0.3%
521-7602 2
 
0.3%
586-4301 2
 
0.3%
583-6655 2
 
0.3%
583-0680 2
 
0.3%
587-2670 2
 
0.3%
Other values (576) 586
96.7%
2024-04-21T11:03:21.419479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 816
16.8%
- 608
12.5%
8 601
12.4%
1 474
9.8%
3 427
8.8%
0 402
8.3%
2 382
7.9%
6 335
6.9%
7 281
 
5.8%
4 280
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4250
87.5%
Dash Punctuation 608
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 816
19.2%
8 601
14.1%
1 474
11.2%
3 427
10.0%
0 402
9.5%
2 382
9.0%
6 335
7.9%
7 281
 
6.6%
4 280
 
6.6%
9 252
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 608
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4858
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 816
16.8%
- 608
12.5%
8 601
12.4%
1 474
9.8%
3 427
8.8%
0 402
8.3%
2 382
7.9%
6 335
6.9%
7 281
 
5.8%
4 280
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4858
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 816
16.8%
- 608
12.5%
8 601
12.4%
1 474
9.8%
3 427
8.8%
0 402
8.3%
2 382
7.9%
6 335
6.9%
7 281
 
5.8%
4 280
 
5.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2021-10-06
681 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-10-06
2nd row2021-10-06
3rd row2021-10-06
4th row2021-10-06
5th row2021-10-06

Common Values

ValueCountFrequency (%)
2021-10-06 681
100.0%

Length

2024-04-21T11:03:21.652148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:03:21.816226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-10-06 681
100.0%

Interactions

2024-04-21T11:03:07.161842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:03:06.813941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:03:07.350055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:03:06.988463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:03:21.916267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐수종별위도경도
폐수종별1.0000.0000.230
위도0.0001.0000.617
경도0.2300.6171.000
2024-04-21T11:03:22.059749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도폐수종별
위도1.000-0.1200.000
경도-0.1201.0000.097
폐수종별0.0000.0971.000

Missing values

2024-04-21T11:03:07.576383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:03:07.810048image/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

업소명업종폐수종별소재지도로명주소소재지지번주소위도경도전화번호데이터기준일자
0대경실크섬유제품제조업5대구광역시 달서구 조암로22길 50(월암동)월암동 71535.824224128.519168631-13162021-10-06
1대기에너지㈜ 서남점가스충전업(세차시설)5대구광역시 달서구 달구벌대로 1631(감삼동)감삼동 64-235.853539128.544658566-45232021-10-06
2보광병원병원시설5대구광역시 달서구 구마로 128(본동)본동 820-135.836752128.541664527-32312021-10-06
3창평세차장세차업5대구광역시 달서구 상인서로 8-3(상인동)상인동 1554-335.812166128.547008632-30232021-10-06
4SK에너지㈜ 상인주유소주유소(세차업)5대구광역시 달서구 월배로 200(상인동)상인동 251-1,251-1135.817933128.535472632-69622021-10-06
5성주카프라자세차업5대구광역시 달서구 와룡로 209(죽전동)죽전동 266-735.851538128.536805563-66552021-10-06
6진양세차장세차업5대구광역시 달서구 와룡로 259(죽전동)죽전동 373-1035.85598128.537035559-30972021-10-06
7대구세차장세차업5대구광역시 달서구 구마로 39(본리동)본리동 678-135.837661128.531941565-37942021-10-06
8성원카토피아세차업5대구광역시 달서구 월곡로 109(도원동)도원동 61235.807128.549329636-30812021-10-06
9대동전산폼출판인쇄업5대구광역시 달서구 월곡로100길 19(월성동)월성동 1794-235.835705128.523825593-66222021-10-06
업소명업종폐수종별소재지도로명주소소재지지번주소위도경도전화번호데이터기준일자
671대원주유소차량용 주유소 운영업5대구광역시 달서구 갈발로 55(대곡동)대곡동 109335.835756128.522409<NA>2021-10-06
672전진바이오팜㈜그외기타 분류안된 화학제품제조업5대구광역시 달서구 성서공단북로 295(갈산동)갈산동 100-38번지35.844771128.505022593-71912021-10-06
673이레광택자동차 세차업5대구광역시 달서구 성서공단로 377(장동)장동 775번지35.837722128.524126<NA>2021-10-06
674태광산업그외 기타금속가공업5대구광역시 달서구 성서서로 6(대천동)대천동 590-3번지35.825313128.500305<NA>2021-10-06
675㈜윤성정기절삭가공 및 유사처리업5대구광역시 달서구 성서공단로 332-12(월성동)월성동 1788-8번지35.835429128.518721<NA>2021-10-06
676씨엠테크도장 및 기타피막처리업5대구광역시 달서구 달서대로109길 129(파호동)파호동 93-21번지35.848148128.477322585-77082021-10-06
677진성캐스팅그외 기타자동차부품 제조업5대구광역시 달서구 성서공단북로69길 32-14(장동)장동 359-2번지35.835756128.522409592-35442021-10-06
678토탈카센타자동차 세차업5대구광역시 달서구 조암남로14길 43-6(월성동)월성동 1175-1번지35.822864128.525036<NA>2021-10-06
679㈜명진기공기체여과기제조업5대구광역시 달서구 호산로2길 61(호산동)호산동 705-17번지35.84133128.484908525-29932021-10-06
680㈜케이랩기타인쇄업5대구광역시 달서구 문화회관11길 49-16(장동)장동 870-1번지35.839841128.526044583-68852021-10-06