Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells1642
Missing cells (%)2.1%
Duplicate rows963
Duplicate rows (%)9.6%
Total size in memory703.1 KiB
Average record size in memory72.0 B

Variable types

Categorical3
Text5

Dataset

Description부산광역시금정구_사업장폐기물배출자신고현황_20230508
Author부산광역시 금정구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15060240

Alerts

데이터기준일 has constant value ""Constant
Dataset has 963 (9.6%) duplicate rowsDuplicates
폐기물구분 is highly overall correlated with 처리방법High correlation
처리방법 is highly overall correlated with 폐기물구분High correlation
연락처 has 1642 (16.4%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:35:06.456424
Analysis finished2023-12-10 16:35:07.963410
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

폐기물구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지정폐기물
4403 
비배출시설계
3792 
의료폐기물
1662 
배출시설계
 
143

Length

Max length6
Median length5
Mean length5.3792
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비배출시설계
2nd row의료폐기물
3rd row지정폐기물
4th row지정폐기물
5th row비배출시설계

Common Values

ValueCountFrequency (%)
지정폐기물 4403
44.0%
비배출시설계 3792
37.9%
의료폐기물 1662
 
16.6%
배출시설계 143
 
1.4%

Length

2023-12-11T01:35:08.041047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:35:08.167365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정폐기물 4403
44.0%
비배출시설계 3792
37.9%
의료폐기물 1662
 
16.6%
배출시설계 143
 
1.4%

상호명
Text

Distinct1711
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:35:08.415261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length5.8128
Min length1

Characters and Unicode

Total characters58128
Distinct characters509
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique766 ?
Unique (%)7.7%

Sample

1st row
2nd row금정노인요양원
3rd row개인
4th row부산대학교
5th row(주)국제종합토건
ValueCountFrequency (%)
개인 1986
 
19.8%
금정구청 627
 
6.3%
부산대학교 626
 
6.3%
부산광역시 181
 
1.8%
동래교육청 87
 
0.9%
주식회사 79
 
0.8%
부산교통공사 71
 
0.7%
부산광역시동래교육지원청 69
 
0.7%
동래교육지원청 69
 
0.7%
개 67
 
0.7%
Other values (1762) 6146
61.4%
2023-12-11T01:35:08.801046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 2410
 
4.1%
2334
 
4.0%
개 2212
 
3.8%
산 1907
 
3.3%
주 1865
 
3.2%
부 1823
 
3.1%
) 1823
 
3.1%
( 1809
 
3.1%
원 1744
 
3.0%
교 1674
 
2.9%
Other values (499) 38527
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51833
89.2%
Space Separator 2334
 
4.0%
Close Punctuation 1824
 
3.1%
Open Punctuation 1809
 
3.1%
Uppercase Letter 216
 
0.4%
Decimal Number 72
 
0.1%
Other Punctuation 22
 
< 0.1%
Lowercase Letter 11
 
< 0.1%
Connector Punctuation 4
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 2410
 
4.6%
개 2212
 
4.3%
산 1907
 
3.7%
주 1865
 
3.6%
부 1823
 
3.5%
원 1744
 
3.4%
교 1674
 
3.2%
정 1481
 
2.9%
학 1481
 
2.9%
금 1292
 
2.5%
Other values (456) 33944
65.5%
Uppercase Letter
ValueCountFrequency (%)
S 28
13.0%
H 20
9.3%
E 20
9.3%
B 19
 
8.8%
K 17
 
7.9%
C 16
 
7.4%
L 14
 
6.5%
T 12
 
5.6%
V 11
 
5.1%
O 10
 
4.6%
Other values (9) 49
22.7%
Lowercase Letter
ValueCountFrequency (%)
o 3
27.3%
e 3
27.3%
d 1
 
9.1%
f 1
 
9.1%
k 1
 
9.1%
c 1
 
9.1%
m 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 26
36.1%
2 17
23.6%
9 12
16.7%
3 8
 
11.1%
4 8
 
11.1%
7 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 17
77.3%
/ 3
 
13.6%
& 1
 
4.5%
? 1
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 1823
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2334
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1809
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51835
89.2%
Common 6066
 
10.4%
Latin 227
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 2410
 
4.6%
개 2212
 
4.3%
산 1907
 
3.7%
주 1865
 
3.6%
부 1823
 
3.5%
원 1744
 
3.4%
교 1674
 
3.2%
정 1481
 
2.9%
학 1481
 
2.9%
금 1292
 
2.5%
Other values (457) 33946
65.5%
Latin
ValueCountFrequency (%)
S 28
12.3%
H 20
 
8.8%
E 20
 
8.8%
B 19
 
8.4%
K 17
 
7.5%
C 16
 
7.0%
L 14
 
6.2%
T 12
 
5.3%
V 11
 
4.8%
O 10
 
4.4%
Other values (16) 60
26.4%
Common
ValueCountFrequency (%)
2334
38.5%
) 1823
30.1%
( 1809
29.8%
1 26
 
0.4%
2 17
 
0.3%
. 17
 
0.3%
9 12
 
0.2%
3 8
 
0.1%
4 8
 
0.1%
_ 4
 
0.1%
Other values (6) 8
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51833
89.2%
ASCII 6293
 
10.8%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 2410
 
4.6%
개 2212
 
4.3%
산 1907
 
3.7%
주 1865
 
3.6%
부 1823
 
3.5%
원 1744
 
3.4%
교 1674
 
3.2%
정 1481
 
2.9%
학 1481
 
2.9%
금 1292
 
2.5%
Other values (456) 33944
65.5%
ASCII
ValueCountFrequency (%)
2334
37.1%
) 1823
29.0%
( 1809
28.7%
S 28
 
0.4%
1 26
 
0.4%
H 20
 
0.3%
E 20
 
0.3%
B 19
 
0.3%
2 17
 
0.3%
K 17
 
0.3%
Other values (32) 180
 
2.9%
None
ValueCountFrequency (%)
㈜ 2
100.0%

대표자
Text

Distinct3529
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:35:09.119521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length3
Mean length3.528
Min length1

Characters and Unicode

Total characters35280
Distinct characters359
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

Unique1802 ?
Unique (%)18.0%

Sample

1st row김양수
2nd row김영
3rd row김광수
4th row총장
5th row김성직
ValueCountFrequency (%)
총장 345
 
3.3%
학교장 316
 
3.1%
금정구청장 260
 
2.5%
구청장 190
 
1.8%
금정구청 183
 
1.8%
대표이사 115
 
1.1%
교육장 97
 
0.9%
대학총장 87
 
0.8%
전호환 80
 
0.8%
김은희 61
 
0.6%
Other values (3535) 8572
83.2%
2023-12-11T01:35:09.642075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1805
 
5.1%
김 1766
 
5.0%
정 1446
 
4.1%
이 1235
 
3.5%
구 767
 
2.2%
청 747
 
2.1%
영 713
 
2.0%
교 640
 
1.8%
수 623
 
1.8%
박 603
 
1.7%
Other values (349) 24935
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34137
96.8%
Space Separator 333
 
0.9%
Close Punctuation 317
 
0.9%
Open Punctuation 306
 
0.9%
Decimal Number 123
 
0.3%
Connector Punctuation 54
 
0.2%
Uppercase Letter 9
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1805
 
5.3%
김 1766
 
5.2%
정 1446
 
4.2%
이 1235
 
3.6%
구 767
 
2.2%
청 747
 
2.2%
영 713
 
2.1%
교 640
 
1.9%
수 623
 
1.8%
박 603
 
1.8%
Other values (335) 23792
69.7%
Uppercase Letter
ValueCountFrequency (%)
G 3
33.3%
L 3
33.3%
C 1
 
11.1%
T 1
 
11.1%
A 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 80
65.0%
2 31
 
25.2%
3 8
 
6.5%
4 4
 
3.3%
Space Separator
ValueCountFrequency (%)
333
100.0%
Close Punctuation
ValueCountFrequency (%)
) 317
100.0%
Open Punctuation
ValueCountFrequency (%)
( 306
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 54
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34137
96.8%
Common 1134
 
3.2%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1805
 
5.3%
김 1766
 
5.2%
정 1446
 
4.2%
이 1235
 
3.6%
구 767
 
2.2%
청 747
 
2.2%
영 713
 
2.1%
교 640
 
1.9%
수 623
 
1.8%
박 603
 
1.8%
Other values (335) 23792
69.7%
Common
ValueCountFrequency (%)
333
29.4%
) 317
28.0%
( 306
27.0%
1 80
 
7.1%
_ 54
 
4.8%
2 31
 
2.7%
3 8
 
0.7%
4 4
 
0.4%
. 1
 
0.1%
Latin
ValueCountFrequency (%)
G 3
33.3%
L 3
33.3%
C 1
 
11.1%
T 1
 
11.1%
A 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34137
96.8%
ASCII 1143
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1805
 
5.3%
김 1766
 
5.2%
정 1446
 
4.2%
이 1235
 
3.6%
구 767
 
2.2%
청 747
 
2.2%
영 713
 
2.1%
교 640
 
1.9%
수 623
 
1.8%
박 603
 
1.8%
Other values (335) 23792
69.7%
ASCII
ValueCountFrequency (%)
333
29.1%
) 317
27.7%
( 306
26.8%
1 80
 
7.0%
_ 54
 
4.7%
2 31
 
2.7%
3 8
 
0.7%
4 4
 
0.3%
G 3
 
0.3%
L 3
 
0.3%
Other values (4) 4
 
0.3%

연락처
Text

MISSING 

Distinct1242
Distinct (%)14.9%
Missing1642
Missing (%)16.4%
Memory size156.2 KiB
2023-12-11T01:35:09.864276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.7548457
Min length2

Characters and Unicode

Total characters56457
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

Unique441 ?
Unique (%)5.3%

Sample

1st row'
2nd row'051-508-8822
3rd row'051-510-1173
4th row'
5th row'
ValueCountFrequency (%)
4212
48.3%
051 155
 
1.8%
051-510-1173 53
 
0.6%
051-510-1175 51
 
0.6%
051-531-3020 37
 
0.4%
519 37
 
0.4%
051-512-0311 32
 
0.4%
0515120311 30
 
0.3%
7185412 26
 
0.3%
051-510-0853 24
 
0.3%
Other values (1281) 4071
46.6%
2023-12-11T01:35:10.252747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 8956
15.9%
' 8358
14.8%
1 8247
14.6%
0 7275
12.9%
4548
8.1%
- 4309
7.6%
2 2720
 
4.8%
7 2447
 
4.3%
8 2326
 
4.1%
3 2113
 
3.7%
Other values (3) 5158
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39242
69.5%
Other Punctuation 8358
 
14.8%
Space Separator 4548
 
8.1%
Dash Punctuation 4309
 
7.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 8956
22.8%
1 8247
21.0%
0 7275
18.5%
2 2720
 
6.9%
7 2447
 
6.2%
8 2326
 
5.9%
3 2113
 
5.4%
4 1904
 
4.9%
9 1687
 
4.3%
6 1567
 
4.0%
Other Punctuation
ValueCountFrequency (%)
' 8358
100.0%
Space Separator
ValueCountFrequency (%)
4548
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4309
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56457
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 8956
15.9%
' 8358
14.8%
1 8247
14.6%
0 7275
12.9%
4548
8.1%
- 4309
7.6%
2 2720
 
4.8%
7 2447
 
4.3%
8 2326
 
4.1%
3 2113
 
3.7%
Other values (3) 5158
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 8956
15.9%
' 8358
14.8%
1 8247
14.6%
0 7275
12.9%
4548
8.1%
- 4309
7.6%
2 2720
 
4.8%
7 2447
 
4.3%
8 2326
 
4.1%
3 2113
 
3.7%
Other values (3) 5158
9.1%

폐기물종류
Text

Distinct135
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:35:10.465635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length79
Mean length16.7566
Min length1

Characters and Unicode

Total characters167566
Distinct characters252
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)0.3%

Sample

1st row
2nd row생물ㆍ화학폐기물
3rd row흩날릴 우려가 없는 폐석면
4th row흩날릴 우려가 없는 폐석면
5th row
ValueCountFrequency (%)
등 2637
 
7.6%
우려가 2307
 
6.6%
흩날릴 2307
 
6.6%
없는 1987
 
5.7%
사용된 1808
 
5.2%
석면의 1584
 
4.6%
제거작업에 1584
 
4.6%
폐콘크리트 1393
 
4.0%
폐석면 1290
 
3.7%
것 1269
 
3.7%
Other values (237) 16561
47.7%
2023-12-11T01:35:10.790325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25915
 
15.5%
폐 6425
 
3.8%
ㆍ 4936
 
2.9%
트 4737
 
2.8%
물 3322
 
2.0%
업 3241
 
1.9%
는 3220
 
1.9%
작 3170
 
1.9%
면 3099
 
1.8%
석 3096
 
1.8%
Other values (242) 106405
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139063
83.0%
Space Separator 25915
 
15.5%
Close Punctuation 790
 
0.5%
Open Punctuation 790
 
0.5%
Connector Punctuation 369
 
0.2%
Decimal Number 333
 
0.2%
Other Punctuation 168
 
0.1%
Lowercase Letter 138
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 6425
 
4.6%
ㆍ 4936
 
3.5%
트 4737
 
3.4%
물 3322
 
2.4%
업 3241
 
2.3%
는 3220
 
2.3%
작 3170
 
2.3%
면 3099
 
2.2%
석 3096
 
2.2%
크 3087
 
2.2%
Other values (222) 100730
72.4%
Decimal Number
ValueCountFrequency (%)
1 256
76.9%
2 41
 
12.3%
0 23
 
6.9%
8 12
 
3.6%
3 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
e 46
33.3%
s 23
16.7%
g 23
16.7%
r 23
16.7%
a 23
16.7%
Close Punctuation
ValueCountFrequency (%)
) 755
95.6%
] 23
 
2.9%
」 12
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 755
95.6%
[ 23
 
2.9%
「 12
 
1.5%
Other Punctuation
ValueCountFrequency (%)
· 146
86.9%
. 22
 
13.1%
Space Separator
ValueCountFrequency (%)
25915
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 369
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139063
83.0%
Common 28365
 
16.9%
Latin 138
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 6425
 
4.6%
ㆍ 4936
 
3.5%
트 4737
 
3.4%
물 3322
 
2.4%
업 3241
 
2.3%
는 3220
 
2.3%
작 3170
 
2.3%
면 3099
 
2.2%
석 3096
 
2.2%
크 3087
 
2.2%
Other values (222) 100730
72.4%
Common
ValueCountFrequency (%)
25915
91.4%
) 755
 
2.7%
( 755
 
2.7%
_ 369
 
1.3%
1 256
 
0.9%
· 146
 
0.5%
2 41
 
0.1%
] 23
 
0.1%
[ 23
 
0.1%
0 23
 
0.1%
Other values (5) 59
 
0.2%
Latin
ValueCountFrequency (%)
e 46
33.3%
s 23
16.7%
g 23
16.7%
r 23
16.7%
a 23
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 134127
80.0%
ASCII 28333
 
16.9%
Compat Jamo 4936
 
2.9%
None 170
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25915
91.5%
) 755
 
2.7%
( 755
 
2.7%
_ 369
 
1.3%
1 256
 
0.9%
e 46
 
0.2%
2 41
 
0.1%
] 23
 
0.1%
[ 23
 
0.1%
0 23
 
0.1%
Other values (7) 127
 
0.4%
Hangul
ValueCountFrequency (%)
폐 6425
 
4.8%
트 4737
 
3.5%
물 3322
 
2.5%
업 3241
 
2.4%
는 3220
 
2.4%
작 3170
 
2.4%
면 3099
 
2.3%
석 3096
 
2.3%
크 3087
 
2.3%
등 3054
 
2.3%
Other values (221) 97676
72.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4936
100.0%
None
ValueCountFrequency (%)
· 146
85.9%
」 12
 
7.1%
「 12
 
7.1%

처리방법
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
매립(민간관리형매립시설)
3896 
중간처분(일반소각)
1798 
재활용(파쇄.분쇄)
1348 
파쇄.절단
725 
613 
Other values (38)
1620 

Length

Max length19
Median length17
Mean length10.4069
Min length1

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row
2nd row중간처분(일반소각)
3rd row매립(민간관리형매립시설)
4th row매립(민간관리형매립시설)
5th row

Common Values

ValueCountFrequency (%)
매립(민간관리형매립시설) 3896
39.0%
중간처분(일반소각) 1798
18.0%
재활용(파쇄.분쇄) 1348
 
13.5%
파쇄.절단 725
 
7.2%
613
 
6.1%
중간처분(고형화) 331
 
3.3%
재활용(기타) 173
 
1.7%
재활용(연료·고형연료제품 제조) 140
 
1.4%
재활용(중간가공폐기물 제조) 125
 
1.2%
중간처분(지방자치단체소각) 111
 
1.1%
Other values (33) 740
 
7.4%

Length

2023-12-11T01:35:10.943753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
매립(민간관리형매립시설 3896
39.2%
중간처분(일반소각 1798
18.1%
재활용(파쇄.분쇄 1348
 
13.6%
파쇄.절단 725
 
7.3%
제조 345
 
3.5%
중간처분(고형화 331
 
3.3%
재활용(기타 173
 
1.7%
재활용(연료·고형연료제품 140
 
1.4%
재활용(중간가공폐기물 125
 
1.3%
사용 114
 
1.1%
Other values (37) 936
 
9.4%

주소
Text

Distinct2319
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:35:11.188416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length52
Mean length19.099
Min length1

Characters and Unicode

Total characters190990
Distinct characters370
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

Unique851 ?
Unique (%)8.5%

Sample

1st row
2nd row부산광역시 금정구 청룡예전로43번길 25_ 금정노인요양원 (청룡동)
3rd row부산광역시 금정구 노포마을1길 12 (노포동)
4th row부산광역시 금정구 부산대학로63번길 2 (장전동_ 부산대학교)
5th row
ValueCountFrequency (%)
부산광역시 6726
18.6%
금정구 6630
18.3%
장전동 1458
 
4.0%
부곡동 1276
 
3.5%
구서동 844
 
2.3%
중앙대로 779
 
2.2%
부산대학로63번길 715
 
2.0%
2 627
 
1.7%
남산동 542
 
1.5%
서동 501
 
1.4%
Other values (1948) 16067
44.4%
2023-12-11T01:35:11.603547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33499
 
17.5%
부 9823
 
5.1%
산 8850
 
4.6%
금 8584
 
4.5%
구 8406
 
4.4%
동 8013
 
4.2%
정 7177
 
3.8%
시 6870
 
3.6%
광 6813
 
3.6%
) 6786
 
3.6%
Other values (360) 86169
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115729
60.6%
Space Separator 33499
 
17.5%
Decimal Number 24533
 
12.8%
Close Punctuation 6786
 
3.6%
Open Punctuation 6786
 
3.6%
Connector Punctuation 2320
 
1.2%
Dash Punctuation 1287
 
0.7%
Uppercase Letter 44
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 9823
 
8.5%
산 8850
 
7.6%
금 8584
 
7.4%
구 8406
 
7.3%
동 8013
 
6.9%
정 7177
 
6.2%
시 6870
 
5.9%
광 6813
 
5.9%
역 6755
 
5.8%
로 6414
 
5.5%
Other values (336) 38024
32.9%
Decimal Number
ValueCountFrequency (%)
1 4781
19.5%
2 3977
16.2%
3 2895
11.8%
6 2523
10.3%
7 2173
8.9%
5 1989
8.1%
4 1972
8.0%
0 1515
 
6.2%
9 1390
 
5.7%
8 1318
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 19
43.2%
J 11
25.0%
G 3
 
6.8%
S 3
 
6.8%
A 2
 
4.5%
T 2
 
4.5%
V 2
 
4.5%
K 2
 
4.5%
Space Separator
ValueCountFrequency (%)
33499
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6786
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6786
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1287
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115729
60.6%
Common 75217
39.4%
Latin 44
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 9823
 
8.5%
산 8850
 
7.6%
금 8584
 
7.4%
구 8406
 
7.3%
동 8013
 
6.9%
정 7177
 
6.2%
시 6870
 
5.9%
광 6813
 
5.9%
역 6755
 
5.8%
로 6414
 
5.5%
Other values (336) 38024
32.9%
Common
ValueCountFrequency (%)
33499
44.5%
) 6786
 
9.0%
( 6786
 
9.0%
1 4781
 
6.4%
2 3977
 
5.3%
3 2895
 
3.8%
6 2523
 
3.4%
_ 2320
 
3.1%
7 2173
 
2.9%
5 1989
 
2.6%
Other values (6) 7488
 
10.0%
Latin
ValueCountFrequency (%)
B 19
43.2%
J 11
25.0%
G 3
 
6.8%
S 3
 
6.8%
A 2
 
4.5%
T 2
 
4.5%
V 2
 
4.5%
K 2
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115729
60.6%
ASCII 75261
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33499
44.5%
) 6786
 
9.0%
( 6786
 
9.0%
1 4781
 
6.4%
2 3977
 
5.3%
3 2895
 
3.8%
6 2523
 
3.4%
_ 2320
 
3.1%
7 2173
 
2.9%
5 1989
 
2.6%
Other values (14) 7532
 
10.0%
Hangul
ValueCountFrequency (%)
부 9823
 
8.5%
산 8850
 
7.6%
금 8584
 
7.4%
구 8406
 
7.3%
동 8013
 
6.9%
정 7177
 
6.2%
시 6870
 
5.9%
광 6813
 
5.9%
역 6755
 
5.8%
로 6414
 
5.5%
Other values (336) 38024
32.9%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-05-08
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-08
2nd row2023-05-08
3rd row2023-05-08
4th row2023-05-08
5th row2023-05-08

Common Values

ValueCountFrequency (%)
2023-05-08 10000
100.0%

Length

2023-12-11T01:35:11.741252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:35:11.823216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-08 10000
100.0%

Correlations

2023-12-11T01:35:11.873533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물구분처리방법
폐기물구분1.0000.939
처리방법0.9391.000
2023-12-11T01:35:11.954384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물구분처리방법
폐기물구분1.0000.778
처리방법0.7781.000
2023-12-11T01:35:12.030373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물구분처리방법
폐기물구분1.0000.778
처리방법0.7781.000

Missing values

2023-12-11T01:35:07.719851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:35:07.879992image/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

폐기물구분상호명대표자연락처폐기물종류처리방법주소데이터기준일
3953비배출시설계김양수'2023-05-08
5190의료폐기물금정노인요양원김영'051-508-8822생물ㆍ화학폐기물중간처분(일반소각)부산광역시 금정구 청룡예전로43번길 25_ 금정노인요양원 (청룡동)2023-05-08
8409지정폐기물개인김광수<NA>흩날릴 우려가 없는 폐석면매립(민간관리형매립시설)부산광역시 금정구 노포마을1길 12 (노포동)2023-05-08
8450지정폐기물부산대학교총장'051-510-1173흩날릴 우려가 없는 폐석면매립(민간관리형매립시설)부산광역시 금정구 부산대학로63번길 2 (장전동_ 부산대학교)2023-05-08
4285비배출시설계(주)국제종합토건김성직'2023-05-08
3254비배출시설계광성산업(주)광성산업(주)'폐콘크리트파쇄.절단부산광역시 금정구 오륜대로126번길 62 (오륜동)2023-05-08
7979지정폐기물개인이상열<NA>흩날릴 우려가 없는 폐석면매립(민간관리형매립시설)부산광역시 금정구 상현로67번길 11 (선동)2023-05-08
2496비배출시설계서원화'폐콘크리트재활용(파쇄.분쇄)2023-05-08
5501의료폐기물동래노인요양원안병훈'생물ㆍ화학폐기물중간처분(일반소각)부산광역시 금정구 산성로 967 (장전동)2023-05-08
10211지정폐기물개인김옥순<NA>슬레이트 등 고형화되어 있어 흩날릴 우려가 없는 것매립(민간관리형매립시설)부산광역시 금정구 공해2길 13 (금성동)2023-05-08
폐기물구분상호명대표자연락처폐기물종류처리방법주소데이터기준일
1148비배출시설계부산 상수도사업본부 명장정수사업소명장정수사업소장'6693901폐목재류(원목의 용도 그대로 사용하는 나무뿌리ㆍ가지 등을 제거한 원줄기는 제외한다.)재활용(파쇄.분쇄)2023-05-08
8758지정폐기물개인이한식<NA>흩날릴 우려가 있는 폐석면중간처분(고형화)부산광역시 금정구 금강로321번길 113-4 (장전동_ 은하빌라)2023-05-08
4723의료폐기물(주)에스엔비아이강오'051-513-1126혈액오염폐기물중간처분(일반소각)부산광역시 금정구 부산대학로63번길 2_ 부산대학교 204호 (장전동)2023-05-08
9381지정폐기물개인김동기<NA>석면의 제거작업에 사용된 바닥비닐시트ㆍ방진마스크ㆍ작업복 등매립(민간관리형매립시설)부산광역시 금정구 온천장로125번길 50 (장전동_ 부산장전3동우체국)2023-05-08
10611지정폐기물개인이광태'051-805-5904슬레이트 등 고형화되어 있어 흩날릴 우려가 없는 것매립(민간관리형매립시설)부산광역시 금정구 반송로 445 (금사동)2023-05-08
389비배출시설계(사)한국스포츠서비스협회백종호'5173693그 밖의 폐기물중간처분(지방자치단체소각)부산광역시 금정구 서부로 109 (부곡동_금정국민체육센터)2023-05-08
5378의료폐기물위드이비인후과의원권오진'5837300손상성폐기물중간처분(일반소각)부산광역시 금정구 중앙대로 2101_ 203호 (남산동)2023-05-08
5612의료폐기물지온마취통증의학과의원김태균'051-518-7007일반의료폐기물중간처분(일반소각)부산광역시 금정구 중앙대로 1897 (구서동)2023-05-08
4503의료폐기물금정세민병원전영우'생물ㆍ화학폐기물중간처분(일반소각)부산광역시 금정구 구서중앙로15번길 20_ 금정산온천 레포츠 7_9층 (구서동)2023-05-08
7238지정폐기물개인손경민'석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등매립(민간관리형매립시설)부산광역시 금정구 온천장로125번길 74-3 (장전동)2023-05-08

Duplicate rows

Most frequently occurring

폐기물구분상호명대표자연락처폐기물종류처리방법주소데이터기준일# duplicates
107비배출시설계금정구청금정구청'폐콘크리트재활용(파쇄.분쇄)2023-05-0847
105비배출시설계금정구청금정구청'폐아스팔트재활용(파쇄.분쇄)2023-05-0843
118비배출시설계금정구청금정구청장'폐콘크리트재활용(파쇄.분쇄)2023-05-0839
116비배출시설계금정구청금정구청장'폐아스팔트콘크리트재활용(파쇄.분쇄)2023-05-0827
101비배출시설계금정구청금정구청'2023-05-0817
106비배출시설계금정구청금정구청'폐아스팔트파쇄.절단2023-05-0813
175비배출시설계동래교육청동래교육청'폐콘크리트재활용(파쇄.분쇄)2023-05-0813
174비배출시설계동래교육청동래교육청'건설폐재류재활용(파쇄.분쇄)2023-05-0812
132비배출시설계금정구청김문곤'폐아스팔트파쇄.절단2023-05-0811
102비배출시설계금정구청금정구청'건설폐재류재활용(파쇄.분쇄)2023-05-0810