Overview

Dataset statistics

Number of variables9
Number of observations1161
Missing cells143
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory86.3 KiB
Average record size in memory76.1 B

Variable types

Numeric3
Text5
Categorical1

Dataset

Description김해시 환경오염물질 배출시설 현황-수질(업체명, 업종, 종수, 도로명주소, 위도, 경도 등)에 대한 데이터를 제공합니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15033436

Alerts

종수 has constant value ""Constant
전화 has 125 (10.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:32:38.310359
Analysis finished2023-12-11 00:32:40.230532
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1161
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean581
Minimum1
Maximum1161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2023-12-11T09:32:40.297010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59
Q1291
median581
Q3871
95-th percentile1103
Maximum1161
Range1160
Interquartile range (IQR)580

Descriptive statistics

Standard deviation335.29614
Coefficient of variation (CV)0.57710179
Kurtosis-1.2
Mean581
Median Absolute Deviation (MAD)290
Skewness0
Sum674541
Variance112423.5
MonotonicityStrictly increasing
2023-12-11T09:32:40.431118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
799 1
 
0.1%
779 1
 
0.1%
778 1
 
0.1%
777 1
 
0.1%
776 1
 
0.1%
775 1
 
0.1%
774 1
 
0.1%
773 1
 
0.1%
772 1
 
0.1%
Other values (1151) 1151
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1161 1
0.1%
1160 1
0.1%
1159 1
0.1%
1158 1
0.1%
1157 1
0.1%
1156 1
0.1%
1155 1
0.1%
1154 1
0.1%
1153 1
0.1%
1152 1
0.1%

업체명
Text

Distinct1126
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-11T09:32:40.704124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length5.7820844
Min length2

Characters and Unicode

Total characters6713
Distinct characters418
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

Unique1097 ?
Unique (%)94.5%

Sample

1st row아세아식품
2nd row진례산업㈜
3rd row동헌산업㈜김해지점
4th row남성정밀㈜
5th row동림화학
ValueCountFrequency (%)
주식회사 18
 
1.4%
2공장 8
 
0.6%
제2공장 7
 
0.6%
삼부정밀화학㈜ 5
 
0.4%
보성산업 4
 
0.3%
김해지점 4
 
0.3%
대성산업 3
 
0.2%
김해사업소 3
 
0.2%
㈜광신아이앤피 3
 
0.2%
고모텍㈜ 2
 
0.2%
Other values (1143) 1187
95.4%
2023-12-11T09:32:41.243600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 637
 
9.5%
업 223
 
3.3%
산 219
 
3.3%
이 193
 
2.9%
스 140
 
2.1%
성 129
 
1.9%
대 116
 
1.7%
동 111
 
1.7%
지 107
 
1.6%
에 101
 
1.5%
Other values (408) 4737
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5704
85.0%
Other Symbol 637
 
9.5%
Uppercase Letter 156
 
2.3%
Space Separator 85
 
1.3%
Decimal Number 40
 
0.6%
Other Punctuation 32
 
0.5%
Open Punctuation 28
 
0.4%
Close Punctuation 28
 
0.4%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 223
 
3.9%
산 219
 
3.8%
이 193
 
3.4%
스 140
 
2.5%
성 129
 
2.3%
대 116
 
2.0%
동 111
 
1.9%
지 107
 
1.9%
에 101
 
1.8%
사 96
 
1.7%
Other values (372) 4269
74.8%
Uppercase Letter
ValueCountFrequency (%)
C 22
14.1%
S 17
 
10.9%
E 11
 
7.1%
R 10
 
6.4%
N 8
 
5.1%
D 8
 
5.1%
O 8
 
5.1%
B 8
 
5.1%
P 7
 
4.5%
M 7
 
4.5%
Other values (11) 50
32.1%
Decimal Number
ValueCountFrequency (%)
2 28
70.0%
1 6
 
15.0%
3 3
 
7.5%
5 1
 
2.5%
6 1
 
2.5%
4 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
. 22
68.8%
& 7
 
21.9%
, 2
 
6.2%
: 1
 
3.1%
Other Symbol
ValueCountFrequency (%)
㈜ 637
100.0%
Space Separator
ValueCountFrequency (%)
85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6341
94.5%
Common 216
 
3.2%
Latin 156
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 637
 
10.0%
업 223
 
3.5%
산 219
 
3.5%
이 193
 
3.0%
스 140
 
2.2%
성 129
 
2.0%
대 116
 
1.8%
동 111
 
1.8%
지 107
 
1.7%
에 101
 
1.6%
Other values (373) 4365
68.8%
Latin
ValueCountFrequency (%)
C 22
14.1%
S 17
 
10.9%
E 11
 
7.1%
R 10
 
6.4%
N 8
 
5.1%
D 8
 
5.1%
O 8
 
5.1%
B 8
 
5.1%
P 7
 
4.5%
M 7
 
4.5%
Other values (11) 50
32.1%
Common
ValueCountFrequency (%)
85
39.4%
( 28
 
13.0%
2 28
 
13.0%
) 28
 
13.0%
. 22
 
10.2%
& 7
 
3.2%
1 6
 
2.8%
- 3
 
1.4%
3 3
 
1.4%
, 2
 
0.9%
Other values (4) 4
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5704
85.0%
None 637
 
9.5%
ASCII 372
 
5.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 637
100.0%
Hangul
ValueCountFrequency (%)
업 223
 
3.9%
산 219
 
3.8%
이 193
 
3.4%
스 140
 
2.5%
성 129
 
2.3%
대 116
 
2.0%
동 111
 
1.9%
지 107
 
1.9%
에 101
 
1.8%
사 96
 
1.7%
Other values (372) 4269
74.8%
ASCII
ValueCountFrequency (%)
85
22.8%
( 28
 
7.5%
2 28
 
7.5%
) 28
 
7.5%
. 22
 
5.9%
C 22
 
5.9%
S 17
 
4.6%
E 11
 
3.0%
R 10
 
2.7%
N 8
 
2.2%
Other values (25) 113
30.4%

전화
Text

MISSING 

Distinct985
Distinct (%)95.1%
Missing125
Missing (%)10.8%
Memory size9.2 KiB
2023-12-11T09:32:41.488422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.012548
Min length12

Characters and Unicode

Total characters12445
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

Unique939 ?
Unique (%)90.6%

Sample

1st row055-323-9910
2nd row055-345-2600
3rd row055-336-2925
4th row055-323-6000
5th row055-345-5995
ValueCountFrequency (%)
055-338-2650 4
 
0.4%
055-322-1462 3
 
0.3%
055-323-8181 3
 
0.3%
055-327-3675 3
 
0.3%
055-337-5885 2
 
0.2%
055-342-4627 2
 
0.2%
055-337-9297 2
 
0.2%
055-331-2371 2
 
0.2%
055-338-7713 2
 
0.2%
055-345-9058 2
 
0.2%
Other values (975) 1011
97.6%
2023-12-11T09:32:41.816551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2614
21.0%
- 2072
16.6%
3 1806
14.5%
0 1636
13.1%
2 843
 
6.8%
4 798
 
6.4%
1 668
 
5.4%
6 546
 
4.4%
7 534
 
4.3%
8 485
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10373
83.4%
Dash Punctuation 2072
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2614
25.2%
3 1806
17.4%
0 1636
15.8%
2 843
 
8.1%
4 798
 
7.7%
1 668
 
6.4%
6 546
 
5.3%
7 534
 
5.1%
8 485
 
4.7%
9 443
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 2072
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12445
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2614
21.0%
- 2072
16.6%
3 1806
14.5%
0 1636
13.1%
2 843
 
6.8%
4 798
 
6.4%
1 668
 
5.4%
6 546
 
4.4%
7 534
 
4.3%
8 485
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12445
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2614
21.0%
- 2072
16.6%
3 1806
14.5%
0 1636
13.1%
2 843
 
6.8%
4 798
 
6.4%
1 668
 
5.4%
6 546
 
4.4%
7 534
 
4.3%
8 485
 
3.9%

도로명주소
Text

Distinct1129
Distinct (%)97.7%
Missing6
Missing (%)0.5%
Memory size9.2 KiB
2023-12-11T09:32:42.109723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length24.562771
Min length15

Characters and Unicode

Total characters28370
Distinct characters118
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

Unique1105 ?
Unique (%)95.7%

Sample

1st row경상남도 김해시 생림면 장재로520번안길 8
2nd row경상남도 김해시 진례면 서부로476번길 34
3rd row경상남도 김해시 김해대로 2651
4th row경상남도 김해시 상동면 상동로 460
5th row경상남도 김해시 진례면 서부로 462
ValueCountFrequency (%)
경상남도 1155
20.4%
김해시 1155
20.4%
한림면 277
 
4.9%
주촌면 176
 
3.1%
진례면 146
 
2.6%
상동면 144
 
2.5%
진영읍 124
 
2.2%
생림면 121
 
2.1%
상동로 44
 
0.8%
서부로1499번길 42
 
0.7%
Other values (1091) 2266
40.1%
2023-12-11T09:32:42.572296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4966
17.5%
상 1376
 
4.9%
김 1354
 
4.8%
해 1354
 
4.8%
1 1233
 
4.3%
경 1156
 
4.1%
시 1156
 
4.1%
남 1155
 
4.1%
도 1155
 
4.1%
로 1132
 
4.0%
Other values (108) 12333
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16451
58.0%
Decimal Number 6313
 
22.3%
Space Separator 4966
 
17.5%
Dash Punctuation 602
 
2.1%
Close Punctuation 12
 
< 0.1%
Open Punctuation 12
 
< 0.1%
Other Punctuation 8
 
< 0.1%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 1376
 
8.4%
김 1354
 
8.2%
해 1354
 
8.2%
경 1156
 
7.0%
시 1156
 
7.0%
남 1155
 
7.0%
도 1155
 
7.0%
로 1132
 
6.9%
면 867
 
5.3%
길 727
 
4.4%
Other values (89) 5019
30.5%
Decimal Number
ValueCountFrequency (%)
1 1233
19.5%
2 816
12.9%
3 679
10.8%
4 615
9.7%
5 613
9.7%
9 558
8.8%
6 556
8.8%
7 496
7.9%
8 378
 
6.0%
0 369
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
C 1
 
16.7%
B 1
 
16.7%
L 1
 
16.7%
Space Separator
ValueCountFrequency (%)
4966
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 602
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16451
58.0%
Common 11913
42.0%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 1376
 
8.4%
김 1354
 
8.2%
해 1354
 
8.2%
경 1156
 
7.0%
시 1156
 
7.0%
남 1155
 
7.0%
도 1155
 
7.0%
로 1132
 
6.9%
면 867
 
5.3%
길 727
 
4.4%
Other values (89) 5019
30.5%
Common
ValueCountFrequency (%)
4966
41.7%
1 1233
 
10.4%
2 816
 
6.8%
3 679
 
5.7%
4 615
 
5.2%
5 613
 
5.1%
- 602
 
5.1%
9 558
 
4.7%
6 556
 
4.7%
7 496
 
4.2%
Other values (5) 779
 
6.5%
Latin
ValueCountFrequency (%)
A 3
50.0%
C 1
 
16.7%
B 1
 
16.7%
L 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16451
58.0%
ASCII 11919
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4966
41.7%
1 1233
 
10.3%
2 816
 
6.8%
3 679
 
5.7%
4 615
 
5.2%
5 613
 
5.1%
- 602
 
5.1%
9 558
 
4.7%
6 556
 
4.7%
7 496
 
4.2%
Other values (9) 785
 
6.6%
Hangul
ValueCountFrequency (%)
상 1376
 
8.4%
김 1354
 
8.2%
해 1354
 
8.2%
경 1156
 
7.0%
시 1156
 
7.0%
남 1155
 
7.0%
도 1155
 
7.0%
로 1132
 
6.9%
면 867
 
5.3%
길 727
 
4.4%
Other values (89) 5019
30.5%

업종
Text

Distinct579
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-11T09:32:42.795267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length40
Mean length12.845823
Min length3

Characters and Unicode

Total characters14914
Distinct characters291
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

Unique409 ?
Unique (%)35.2%

Sample

1st row식품제조
2nd row스폰지제조업
3rd row비금속광물제품제조
4th row조립금속제품
5th row산업용비경화고무제품제조업
ValueCountFrequency (%)
및 46
 
3.2%
외 30
 
2.1%
그외기타자동차부품제조업 25
 
1.7%
제조업 24
 
1.7%
플라스틱제품제조 24
 
1.7%
비금속원료재생업 23
 
1.6%
금속열처리업 22
 
1.5%
지정외폐기물처리업(38210 21
 
1.5%
기계장비조립용플라스틱제품제조업 18
 
1.3%
자동차종합수리업 16
 
1.1%
Other values (642) 1185
82.6%
2023-12-11T09:32:43.177837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 1152
 
7.7%
업 1046
 
7.0%
조 889
 
6.0%
기 564
 
3.8%
품 476
 
3.2%
2 435
 
2.9%
및 337
 
2.3%
타 322
 
2.2%
321
 
2.2%
1 308
 
2.1%
Other values (281) 9064
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12258
82.2%
Decimal Number 1579
 
10.6%
Space Separator 321
 
2.2%
Open Punctuation 300
 
2.0%
Close Punctuation 299
 
2.0%
Other Punctuation 157
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1152
 
9.4%
업 1046
 
8.5%
조 889
 
7.3%
기 564
 
4.6%
품 476
 
3.9%
및 337
 
2.7%
타 322
 
2.6%
스 252
 
2.1%
외 241
 
2.0%
금 223
 
1.8%
Other values (266) 6756
55.1%
Decimal Number
ValueCountFrequency (%)
2 435
27.5%
1 308
19.5%
3 263
16.7%
9 196
12.4%
0 157
 
9.9%
8 70
 
4.4%
5 67
 
4.2%
4 53
 
3.4%
6 16
 
1.0%
7 14
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 156
99.4%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
321
100.0%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 299
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12258
82.2%
Common 2656
 
17.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1152
 
9.4%
업 1046
 
8.5%
조 889
 
7.3%
기 564
 
4.6%
품 476
 
3.9%
및 337
 
2.7%
타 322
 
2.6%
스 252
 
2.1%
외 241
 
2.0%
금 223
 
1.8%
Other values (266) 6756
55.1%
Common
ValueCountFrequency (%)
2 435
16.4%
321
12.1%
1 308
11.6%
( 300
11.3%
) 299
11.3%
3 263
9.9%
9 196
7.4%
0 157
 
5.9%
, 156
 
5.9%
8 70
 
2.6%
Other values (5) 151
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12258
82.2%
ASCII 2656
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 1152
 
9.4%
업 1046
 
8.5%
조 889
 
7.3%
기 564
 
4.6%
품 476
 
3.9%
및 337
 
2.7%
타 322
 
2.6%
스 252
 
2.1%
외 241
 
2.0%
금 223
 
1.8%
Other values (266) 6756
55.1%
ASCII
ValueCountFrequency (%)
2 435
16.4%
321
12.1%
1 308
11.6%
( 300
11.3%
) 299
11.3%
3 263
9.9%
9 196
7.4%
0 157
 
5.9%
, 156
 
5.9%
8 70
 
2.6%
Other values (5) 151
 
5.7%

종수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
5
1161 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
5 1161
100.0%

Length

2023-12-11T09:32:43.304260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:32:43.391141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 1161
100.0%

신고일자
Text

Distinct1036
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-11T09:32:43.654320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters11610
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

Unique928 ?
Unique (%)79.9%

Sample

1st row1980-07-10
2nd row1982-09-01
3rd row1987-11-03
4th row1988-04-14
5th row1989-09-01
ValueCountFrequency (%)
2019-04-15 4
 
0.3%
2018-06-27 3
 
0.3%
2017-05-23 3
 
0.3%
2006-10-02 3
 
0.3%
2014-11-07 3
 
0.3%
2013-09-24 3
 
0.3%
2015-04-09 3
 
0.3%
2016-12-28 3
 
0.3%
2019-07-31 3
 
0.3%
2020-09-29 3
 
0.3%
Other values (1026) 1130
97.3%
2023-12-11T09:32:44.105253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2942
25.3%
- 2322
20.0%
2 1870
16.1%
1 1804
15.5%
9 563
 
4.8%
3 385
 
3.3%
7 368
 
3.2%
6 353
 
3.0%
5 345
 
3.0%
4 330
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9288
80.0%
Dash Punctuation 2322
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2942
31.7%
2 1870
20.1%
1 1804
19.4%
9 563
 
6.1%
3 385
 
4.1%
7 368
 
4.0%
6 353
 
3.8%
5 345
 
3.7%
4 330
 
3.6%
8 328
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 2322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11610
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2942
25.3%
- 2322
20.0%
2 1870
16.1%
1 1804
15.5%
9 563
 
4.8%
3 385
 
3.3%
7 368
 
3.2%
6 353
 
3.0%
5 345
 
3.0%
4 330
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2942
25.3%
- 2322
20.0%
2 1870
16.1%
1 1804
15.5%
9 563
 
4.8%
3 385
 
3.3%
7 368
 
3.2%
6 353
 
3.0%
5 345
 
3.0%
4 330
 
2.8%

위도
Real number (ℝ)

Distinct1116
Distinct (%)96.6%
Missing6
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean35.278286
Minimum35.166579
Maximum35.375446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2023-12-11T09:32:44.281583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.166579
5-th percentile35.221931
Q135.23987
median35.28552
Q335.307107
95-th percentile35.330013
Maximum35.375446
Range0.20886701
Interquartile range (IQR)0.067236855

Descriptive statistics

Standard deviation0.037229334
Coefficient of variation (CV)0.0010553045
Kurtosis-0.92370651
Mean35.278286
Median Absolute Deviation (MAD)0.02902765
Skewness-0.12242829
Sum40746.421
Variance0.0013860233
MonotonicityNot monotonic
2023-12-11T09:32:44.438655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.26375636 4
 
0.3%
35.26754485 3
 
0.3%
35.23290716 3
 
0.3%
35.24125639 2
 
0.2%
35.32809771 2
 
0.2%
35.22894723 2
 
0.2%
35.23036091 2
 
0.2%
35.22827786 2
 
0.2%
35.32005022 2
 
0.2%
35.27987427 2
 
0.2%
Other values (1106) 1131
97.4%
(Missing) 6
 
0.5%
ValueCountFrequency (%)
35.16657907 1
0.1%
35.18738413 1
0.1%
35.18768125 1
0.1%
35.193392 1
0.1%
35.20369178 1
0.1%
35.20432188 1
0.1%
35.20673141 1
0.1%
35.20696046 1
0.1%
35.20706181 1
0.1%
35.20743559 1
0.1%
ValueCountFrequency (%)
35.37544608 2
0.2%
35.37542903 1
0.1%
35.37538733 1
0.1%
35.37490996 1
0.1%
35.37419651 1
0.1%
35.37399803 1
0.1%
35.37377055 1
0.1%
35.36379588 1
0.1%
35.36209992 1
0.1%
35.34859221 1
0.1%

경도
Real number (ℝ)

Distinct1115
Distinct (%)96.5%
Missing6
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean128.82759
Minimum128.7107
Maximum128.97328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2023-12-11T09:32:44.588798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.7107
5-th percentile128.74808
Q1128.77807
median128.81651
Q3128.87445
95-th percentile128.92566
Maximum128.97328
Range0.2625813
Interquartile range (IQR)0.09638305

Descriptive statistics

Standard deviation0.058967747
Coefficient of variation (CV)0.00045772607
Kurtosis-0.73971501
Mean128.82759
Median Absolute Deviation (MAD)0.041728
Skewness0.42559911
Sum148795.87
Variance0.0034771952
MonotonicityNot monotonic
2023-12-11T09:32:44.766067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.7343016 4
 
0.3%
128.7711373 3
 
0.3%
128.8146419 3
 
0.3%
128.8109877 2
 
0.2%
128.7161208 2
 
0.2%
128.7534653 2
 
0.2%
128.7515363 2
 
0.2%
128.9075632 2
 
0.2%
128.8409119 2
 
0.2%
128.7616411 2
 
0.2%
Other values (1105) 1131
97.4%
(Missing) 6
 
0.5%
ValueCountFrequency (%)
128.7106953 1
0.1%
128.7158061 1
0.1%
128.7161208 2
0.2%
128.7182474 1
0.1%
128.7186633 1
0.1%
128.7208221 1
0.1%
128.7213096 1
0.1%
128.7221501 1
0.1%
128.7222466 1
0.1%
128.7250749 1
0.1%
ValueCountFrequency (%)
128.9732766 1
0.1%
128.9681696 1
0.1%
128.9670595 1
0.1%
128.9666391 1
0.1%
128.9662231 1
0.1%
128.9661695 1
0.1%
128.9651811 1
0.1%
128.96486 1
0.1%
128.9648529 1
0.1%
128.9636666 1
0.1%

Interactions

2023-12-11T09:32:39.412421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:32:38.907919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:32:39.180416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:32:39.497759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:32:39.004431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:32:39.265980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:32:39.588084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:32:39.084870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:32:39.333894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:32:44.895418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.2110.186
위도0.2111.0000.726
경도0.1860.7261.000
2023-12-11T09:32:44.972793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.028-0.107
위도-0.0281.000-0.011
경도-0.107-0.0111.000

Missing values

2023-12-11T09:32:39.936637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:32:40.078186image/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.
2023-12-11T09:32:40.177232image/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

연번업체명전화도로명주소업종종수신고일자위도경도
01아세아식품055-323-9910경상남도 김해시 생림면 장재로520번안길 8식품제조51980-07-1035.323123128.847839
12진례산업㈜055-345-2600경상남도 김해시 진례면 서부로476번길 34스폰지제조업51982-09-0135.261738128.746888
23동헌산업㈜김해지점055-336-2925경상남도 김해시 김해대로 2651비금속광물제품제조51987-11-0335.229275128.916145
34남성정밀㈜055-323-6000경상남도 김해시 상동면 상동로 460조립금속제품51988-04-1435.305604128.923112
45동림화학055-345-5995경상남도 김해시 진례면 서부로 462산업용비경화고무제품제조업51989-09-0135.261764128.750115
56부일휠타055-335-1720경상남도 김해시 삼안로 69기타자동차부품제조업51990-05-0135.235393128.917243
67삼전비료055-323-6414경상남도 김해시 상동면 상동로 161기타비료및질소화합물제조업51991-01-0935.30192128.89031
78삼보산업사055-323-0767경상남도 김해시 주촌면 서부로1295번길 67-14섬유제조51991-05-1335.226118128.803039
89에스엠인더스트리㈜GMB사업부055-323-8911경상남도 김해시 생림면 나전로 276판유리가공품제조업외 351991-06-1035.309603128.877654
910비씨태창산업(유)055-332-1985경상남도 김해시 김해대로2579번길 76-46, 76-20적층및표면처리직물제조업 외 3종(13994, 29199, 29131, 46539)51991-10-3135.235301128.910629
연번업체명전화도로명주소업종종수신고일자위도경도
11511152우성폴리머<NA>경상남도 김해시 상동면 상동로 153-1지정외폐기물처리업52020-09-2935.300812128.888232
11521153별이되다055-1566-9399경상남도 김해시 생림면 나전로137번길 31동물장묘업52020-09-2935.298045128.873332
11531154대명산업055-1522-2253경상남도 김해시 상동면 묵방로109번길 3동물장묘업52020-09-2935.299037128.911601
11541155㈜수림디앤씨051-302-6273경상남도 김해시 한림면 김해대로1099번길 120-1표면가공목재및특정목적용제재목제조업52020-10-0535.30348128.799668
11551156㈜서보055-342-4083경상남도 김해시 진영읍 서부로179번길 77자동차용동력저날장치제조업 외 152020-10-0535.287729128.772679
11561157㈜청암산업<NA>경상남도 김해시 한림면 장방로327번길 44-11비금속류원료재생업52020-10-0635.33159128.780816
11571158㈜대경055-345-4711경상남도 김해시 한림면 김해대로 1102-172증류기, 열교환기 및 가스발생기 제조업52020-10-1335.288427128.802092
11581159거성수지<NA>경상남도 김해시 진례면 고모로364번길 74-24지정외폐기물처리업52020-10-1635.256503128.77788
11591160청명페트㈜055-313-1425경상남도 김해시 주촌면 서부로1499번길 49-53 외1지정 외 폐기물처리업52020-10-1935.230951128.81459
11601161㈜동림스틸055-311-3307경상남도 김해시 주촌면 서부로1701번안길 58-246지정외폐기물처리업52020-10-1935.245398128.846863