Overview

Dataset statistics

Number of variables4
Number of observations646
Missing cells11
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.3 KiB
Average record size in memory32.2 B

Variable types

Text3
Categorical1

Reproduction

Analysis started2024-03-14 01:50:43.909891
Analysis finished2024-03-14 01:50:44.438216
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

전라북도 산업단지 내 대기배출사업장 현황
Text

Distinct641
Distinct (%)100.0%
Missing5
Missing (%)0.8%
Memory size5.2 KiB
2024-03-14T10:50:44.748102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.8315133
Min length1

Characters and Unicode

Total characters1815
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique641 ?
Unique (%)100.0%

Sample

1st rowNo.
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
158 1
 
0.2%
321 1
 
0.2%
429 1
 
0.2%
422 1
 
0.2%
423 1
 
0.2%
424 1
 
0.2%
425 1
 
0.2%
426 1
 
0.2%
427 1
 
0.2%
428 1
 
0.2%
Other values (631) 631
98.4%
2024-03-14T10:50:45.249632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 234
12.9%
3 234
12.9%
2 234
12.9%
4 225
12.4%
5 224
12.3%
6 165
9.1%
8 124
6.8%
7 124
6.8%
9 124
6.8%
0 124
6.8%
Other values (3) 3
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1812
99.8%
Uppercase Letter 1
 
0.1%
Lowercase Letter 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 234
12.9%
3 234
12.9%
2 234
12.9%
4 225
12.4%
5 224
12.4%
6 165
9.1%
8 124
6.8%
7 124
6.8%
9 124
6.8%
0 124
6.8%
Uppercase Letter
ValueCountFrequency (%)
N 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1813
99.9%
Latin 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 234
12.9%
3 234
12.9%
2 234
12.9%
4 225
12.4%
5 224
12.4%
6 165
9.1%
8 124
6.8%
7 124
6.8%
9 124
6.8%
0 124
6.8%
Latin
ValueCountFrequency (%)
N 1
50.0%
o 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1815
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 234
12.9%
3 234
12.9%
2 234
12.9%
4 225
12.4%
5 224
12.3%
6 165
9.1%
8 124
6.8%
7 124
6.8%
9 124
6.8%
0 124
6.8%
Other values (3) 3
 
0.2%

Unnamed: 1
Text

Distinct640
Distinct (%)99.2%
Missing1
Missing (%)0.2%
Memory size5.2 KiB
2024-03-14T10:50:45.442975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length8.5286822
Min length2

Characters and Unicode

Total characters5501
Distinct characters384
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

Unique635 ?
Unique (%)98.4%

Sample

1st row업체명
2nd row전주페이퍼(주)
3rd row㈜전주파워
4th row㈜휴비스 전주공장
5th row(주)BYC
ValueCountFrequency (%)
군산공장 9
 
1.2%
전주공장 7
 
1.0%
㈜씨지테크 6
 
0.8%
정읍공장 4
 
0.6%
익산공장 4
 
0.6%
3공장 3
 
0.4%
2공장 3
 
0.4%
유니온테크㈜ 2
 
0.3%
제3공장 2
 
0.3%
대주코레스㈜ 2
 
0.3%
Other values (669) 680
94.2%
2024-03-14T10:50:46.017423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 420
 
7.6%
) 420
 
7.6%
주 365
 
6.6%
㈜ 243
 
4.4%
공 175
 
3.2%
이 145
 
2.6%
장 134
 
2.4%
산 134
 
2.4%
스 101
 
1.8%
에 90
 
1.6%
Other values (374) 3274
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4212
76.6%
Open Punctuation 420
 
7.6%
Close Punctuation 420
 
7.6%
Other Symbol 243
 
4.4%
Space Separator 78
 
1.4%
Uppercase Letter 50
 
0.9%
Decimal Number 49
 
0.9%
Other Punctuation 22
 
0.4%
Dash Punctuation 6
 
0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 365
 
8.7%
공 175
 
4.2%
이 145
 
3.4%
장 134
 
3.2%
산 134
 
3.2%
스 101
 
2.4%
에 90
 
2.1%
업 90
 
2.1%
유 87
 
2.1%
지 79
 
1.9%
Other values (342) 2812
66.8%
Uppercase Letter
ValueCountFrequency (%)
C 8
16.0%
S 8
16.0%
O 6
12.0%
I 5
10.0%
L 4
8.0%
E 4
8.0%
G 3
 
6.0%
K 3
 
6.0%
B 1
 
2.0%
Y 1
 
2.0%
Other values (7) 7
14.0%
Decimal Number
ValueCountFrequency (%)
2 29
59.2%
3 10
 
20.4%
1 8
 
16.3%
9 1
 
2.0%
4 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 19
86.4%
, 1
 
4.5%
: 1
 
4.5%
/ 1
 
4.5%
Open Punctuation
ValueCountFrequency (%)
( 420
100.0%
Close Punctuation
ValueCountFrequency (%)
) 420
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 243
100.0%
Space Separator
ValueCountFrequency (%)
78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4455
81.0%
Common 996
 
18.1%
Latin 50
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 365
 
8.2%
㈜ 243
 
5.5%
공 175
 
3.9%
이 145
 
3.3%
장 134
 
3.0%
산 134
 
3.0%
스 101
 
2.3%
에 90
 
2.0%
업 90
 
2.0%
유 87
 
2.0%
Other values (343) 2891
64.9%
Latin
ValueCountFrequency (%)
C 8
16.0%
S 8
16.0%
O 6
12.0%
I 5
10.0%
L 4
8.0%
E 4
8.0%
G 3
 
6.0%
K 3
 
6.0%
B 1
 
2.0%
Y 1
 
2.0%
Other values (7) 7
14.0%
Common
ValueCountFrequency (%)
( 420
42.2%
) 420
42.2%
78
 
7.8%
2 29
 
2.9%
. 19
 
1.9%
3 10
 
1.0%
1 8
 
0.8%
- 6
 
0.6%
, 1
 
0.1%
_ 1
 
0.1%
Other values (4) 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4212
76.6%
ASCII 1046
 
19.0%
None 243
 
4.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 420
40.2%
) 420
40.2%
78
 
7.5%
2 29
 
2.8%
. 19
 
1.8%
3 10
 
1.0%
C 8
 
0.8%
S 8
 
0.8%
1 8
 
0.8%
O 6
 
0.6%
Other values (21) 40
 
3.8%
Hangul
ValueCountFrequency (%)
주 365
 
8.7%
공 175
 
4.2%
이 145
 
3.4%
장 134
 
3.2%
산 134
 
3.2%
스 101
 
2.4%
에 90
 
2.1%
업 90
 
2.1%
유 87
 
2.1%
지 79
 
1.9%
Other values (342) 2812
66.8%
None
ValueCountFrequency (%)
㈜ 243
100.0%

Unnamed: 2
Text

Distinct619
Distinct (%)96.6%
Missing5
Missing (%)0.8%
Memory size5.2 KiB
2024-03-14T10:50:46.265178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length17.49298
Min length3

Characters and Unicode

Total characters11213
Distinct characters152
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique597 ?
Unique (%)93.1%

Sample

1st row소재지
2nd row전주시 덕진구팔복로 59 (팔복동2가)
3rd row전주시 덕진구 팔복로 59 (팔복동2가)
4th row전주시 덕진구기린대로 787 (팔복동2가)
5th row전주시 덕진구구렛들3길 35 (팔복동1가)
ValueCountFrequency (%)
군산시 149
 
7.4%
익산시 142
 
7.0%
완주군 91
 
4.5%
봉동읍 89
 
4.4%
정읍시 69
 
3.4%
전주시 39
 
1.9%
김제시 32
 
1.6%
북면 29
 
1.4%
외항로 28
 
1.4%
백산면 22
 
1.1%
Other values (755) 1333
65.9%
2024-03-14T10:50:46.690937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1408
 
12.6%
산 711
 
6.3%
동 586
 
5.2%
시 549
 
4.9%
1 525
 
4.7%
로 439
 
3.9%
) 412
 
3.7%
( 410
 
3.7%
군 357
 
3.2%
2 334
 
3.0%
Other values (142) 5482
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6496
57.9%
Decimal Number 2329
 
20.8%
Space Separator 1410
 
12.6%
Close Punctuation 412
 
3.7%
Open Punctuation 410
 
3.7%
Dash Punctuation 147
 
1.3%
Other Punctuation 6
 
0.1%
Uppercase Letter 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 711
 
10.9%
동 586
 
9.0%
시 549
 
8.5%
로 439
 
6.8%
군 357
 
5.5%
길 261
 
4.0%
단 232
 
3.6%
주 194
 
3.0%
읍 165
 
2.5%
완 158
 
2.4%
Other values (122) 2844
43.8%
Decimal Number
ValueCountFrequency (%)
1 525
22.5%
2 334
14.3%
3 283
12.2%
4 203
 
8.7%
7 199
 
8.5%
5 195
 
8.4%
6 174
 
7.5%
8 145
 
6.2%
9 139
 
6.0%
0 132
 
5.7%
Space Separator
ValueCountFrequency (%)
1408
99.9%
　 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
/ 1
 
16.7%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
B 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 412
100.0%
Open Punctuation
ValueCountFrequency (%)
( 410
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6497
57.9%
Common 4714
42.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 711
 
10.9%
동 586
 
9.0%
시 549
 
8.5%
로 439
 
6.8%
군 357
 
5.5%
길 261
 
4.0%
단 232
 
3.6%
주 194
 
3.0%
읍 165
 
2.5%
완 158
 
2.4%
Other values (123) 2845
43.8%
Common
ValueCountFrequency (%)
1408
29.9%
1 525
 
11.1%
) 412
 
8.7%
( 410
 
8.7%
2 334
 
7.1%
3 283
 
6.0%
4 203
 
4.3%
7 199
 
4.2%
5 195
 
4.1%
6 174
 
3.7%
Other values (7) 571
12.1%
Latin
ValueCountFrequency (%)
L 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6496
57.9%
ASCII 4714
42.0%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1408
29.9%
1 525
 
11.1%
) 412
 
8.7%
( 410
 
8.7%
2 334
 
7.1%
3 283
 
6.0%
4 203
 
4.3%
7 199
 
4.2%
5 195
 
4.1%
6 174
 
3.7%
Other values (8) 571
12.1%
Hangul
ValueCountFrequency (%)
산 711
 
10.9%
동 586
 
9.0%
시 549
 
8.5%
로 439
 
6.8%
군 357
 
5.5%
길 261
 
4.0%
단 232
 
3.6%
주 194
 
3.0%
읍 165
 
2.5%
완 158
 
2.4%
Other values (122) 2844
43.8%
None
ValueCountFrequency (%)
　 2
66.7%
㈜ 1
33.3%

Unnamed: 3
Categorical

Distinct15
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
4
162 
5
156 
1특
58 
4특
48 
5특
41 
Other values (10)
181 

Length

Max length6
Median length1
Mean length1.4272446
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row대기 종구분
3rd row1특
4th row1특
5th row1특

Common Values

ValueCountFrequency (%)
4 162
25.1%
5 156
24.1%
1특 58
 
9.0%
4특 48
 
7.4%
5특 41
 
6.3%
3 36
 
5.6%
5종 36
 
5.6%
2특 28
 
4.3%
2 25
 
3.9%
3특 24
 
3.7%
Other values (5) 32
 
5.0%

Length

2024-03-14T10:50:46.811898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4 162
25.0%
5 156
24.1%
1특 58
 
9.0%
4특 48
 
7.4%
5특 41
 
6.3%
3 36
 
5.6%
5종 36
 
5.6%
2특 28
 
4.3%
2 25
 
3.9%
3특 24
 
3.7%
Other values (7) 34
 
5.2%

Missing values

2024-03-14T10:50:44.198539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:50:44.285921image/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.
2024-03-14T10:50:44.376441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

전라북도 산업단지 내 대기배출사업장 현황Unnamed: 1Unnamed: 2Unnamed: 3
0<NA><NA><NA><NA>
1No.업체명소재지대기 종구분
21전주페이퍼(주)전주시 덕진구팔복로 59 (팔복동2가)1특
32㈜전주파워전주시 덕진구 팔복로 59 (팔복동2가)1특
43㈜휴비스 전주공장전주시 덕진구기린대로 787 (팔복동2가)1특
54(주)BYC전주시 덕진구구렛들3길 35 (팔복동1가)3
65(주)삼화금속전주시 덕진구상리1길 19 (팔복동2가)3
76(유)한풍제약전주시 덕진구구렛들3길 11 (팔복동1가)4
87(주)영진코리아전주시 덕진구신복로 121 (팔복동1가)4
98강남케이피아이㈜전주공장(구.(주)케이피아이)전주시 덕진구기린대로 784 (팔복동1가)5
전라북도 산업단지 내 대기배출사업장 현황Unnamed: 1Unnamed: 2Unnamed: 3
636631㈜한길금속김제시 백산면 부거리 1567-25종
637632정우정공㈜(2공장) _ 장구리 과학산단완주군 봉동읍 완주산단7로 895종
638633정성산업군산시 산단동서로 102-19 (오식도동)5종
639634한국가스공사 전북지역본부 익산관리소익산시 석암로3길 216(팔봉동)5종
640635시원테크 군산공장군산시 가도로 126 (소룡동)5특
641636레인보우㈜군산시 군산산단로 143-47 (비응도동)4종
642637㈜더블유에프엠군산시 산단동서로 44-30 (오식도동)5특
643638㈜정석케미칼군산시 가도로 44 (오식도동)5특
644639(유)삼덕하이테크김제시 백산면 지평선산단6길 1434종
645640아토세이프 제3공장익산시 약촌로8길 61-10 (어양동)5종