Overview

Dataset statistics

Number of variables9
Number of observations2018
Missing cells281
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory149.9 KiB
Average record size in memory76.1 B

Variable types

Numeric3
Text5
Categorical1

Dataset

Description경상남도 김해시 환경오염물질 배출시설 현황에 대한 데이터로 업체명,전화번호,도로명주소 등의 항목을 제공합니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15033435

Alerts

전화번호 has 272 (13.5%) missing valuesMissing
기준 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:50:27.010169
Analysis finished2023-12-11 00:50:28.868393
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준
Real number (ℝ)

UNIQUE 

Distinct2018
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1009.5
Minimum1
Maximum2018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.9 KiB
2023-12-11T09:50:28.956652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile101.85
Q1505.25
median1009.5
Q31513.75
95-th percentile1917.15
Maximum2018
Range2017
Interquartile range (IQR)1008.5

Descriptive statistics

Standard deviation582.69074
Coefficient of variation (CV)0.57720727
Kurtosis-1.2
Mean1009.5
Median Absolute Deviation (MAD)504.5
Skewness0
Sum2037171
Variance339528.5
MonotonicityStrictly increasing
2023-12-11T09:50:29.088040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1342 1
 
< 0.1%
1355 1
 
< 0.1%
1354 1
 
< 0.1%
1353 1
 
< 0.1%
1352 1
 
< 0.1%
1351 1
 
< 0.1%
1350 1
 
< 0.1%
1349 1
 
< 0.1%
1348 1
 
< 0.1%
Other values (2008) 2008
99.5%
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 (%)
2018 1
< 0.1%
2017 1
< 0.1%
2016 1
< 0.1%
2015 1
< 0.1%
2014 1
< 0.1%
2013 1
< 0.1%
2012 1
< 0.1%
2011 1
< 0.1%
2010 1
< 0.1%
2009 1
< 0.1%

업체명
Text

Distinct1938
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
2023-12-11T09:50:29.304262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length5.9182359
Min length2

Characters and Unicode

Total characters11943
Distinct characters492
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

Unique1867 ?
Unique (%)92.5%

Sample

1st row㈜중일옥사이드
2nd row㈜씨앤엠
3rd row아세아식품
4th row진례산업㈜
5th row김해축협배합사료공장
ValueCountFrequency (%)
주식회사 41
 
1.9%
2공장 11
 
0.5%
김해지점 9
 
0.4%
제2공장 8
 
0.4%
김해공장 8
 
0.4%
삼부정밀화학㈜ 5
 
0.2%
안동지점 4
 
0.2%
동남산업 4
 
0.2%
co 3
 
0.1%
㈜온일 3
 
0.1%
Other values (1965) 2085
95.6%
2023-12-11T09:50:29.883890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 1208
 
10.1%
업 391
 
3.3%
산 363
 
3.0%
이 330
 
2.8%
스 265
 
2.2%
성 235
 
2.0%
에 208
 
1.7%
동 193
 
1.6%
공 183
 
1.5%
대 180
 
1.5%
Other values (482) 8387
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10056
84.2%
Other Symbol 1208
 
10.1%
Uppercase Letter 294
 
2.5%
Space Separator 167
 
1.4%
Decimal Number 63
 
0.5%
Open Punctuation 50
 
0.4%
Close Punctuation 50
 
0.4%
Other Punctuation 48
 
0.4%
Dash Punctuation 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 391
 
3.9%
산 363
 
3.6%
이 330
 
3.3%
스 265
 
2.6%
성 235
 
2.3%
에 208
 
2.1%
동 193
 
1.9%
공 183
 
1.8%
대 180
 
1.8%
사 163
 
1.6%
Other values (440) 7545
75.0%
Uppercase Letter
ValueCountFrequency (%)
C 36
12.2%
S 30
 
10.2%
E 27
 
9.2%
P 20
 
6.8%
M 19
 
6.5%
N 18
 
6.1%
R 18
 
6.1%
T 16
 
5.4%
H 13
 
4.4%
O 13
 
4.4%
Other values (12) 84
28.6%
Decimal Number
ValueCountFrequency (%)
2 40
63.5%
1 12
 
19.0%
3 7
 
11.1%
6 1
 
1.6%
5 1
 
1.6%
8 1
 
1.6%
0 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 32
66.7%
& 10
 
20.8%
, 2
 
4.2%
: 2
 
4.2%
/ 1
 
2.1%
? 1
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
o 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1208
100.0%
Space Separator
ValueCountFrequency (%)
167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11264
94.3%
Common 383
 
3.2%
Latin 296
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 1208
 
10.7%
업 391
 
3.5%
산 363
 
3.2%
이 330
 
2.9%
스 265
 
2.4%
성 235
 
2.1%
에 208
 
1.8%
동 193
 
1.7%
공 183
 
1.6%
대 180
 
1.6%
Other values (441) 7708
68.4%
Latin
ValueCountFrequency (%)
C 36
12.2%
S 30
 
10.1%
E 27
 
9.1%
P 20
 
6.8%
M 19
 
6.4%
N 18
 
6.1%
R 18
 
6.1%
T 16
 
5.4%
H 13
 
4.4%
O 13
 
4.4%
Other values (14) 86
29.1%
Common
ValueCountFrequency (%)
167
43.6%
( 50
 
13.1%
) 50
 
13.1%
2 40
 
10.4%
. 32
 
8.4%
1 12
 
3.1%
& 10
 
2.6%
3 7
 
1.8%
- 5
 
1.3%
, 2
 
0.5%
Other values (7) 8
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10056
84.2%
None 1208
 
10.1%
ASCII 679
 
5.7%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 1208
100.0%
Hangul
ValueCountFrequency (%)
업 391
 
3.9%
산 363
 
3.6%
이 330
 
3.3%
스 265
 
2.6%
성 235
 
2.3%
에 208
 
2.1%
동 193
 
1.9%
공 183
 
1.8%
대 180
 
1.8%
사 163
 
1.6%
Other values (440) 7545
75.0%
ASCII
ValueCountFrequency (%)
167
24.6%
( 50
 
7.4%
) 50
 
7.4%
2 40
 
5.9%
C 36
 
5.3%
. 32
 
4.7%
S 30
 
4.4%
E 27
 
4.0%
P 20
 
2.9%
M 19
 
2.8%
Other values (31) 208
30.6%

전화번호
Text

MISSING 

Distinct1614
Distinct (%)92.4%
Missing272
Missing (%)13.5%
Memory size15.9 KiB
2023-12-11T09:50:30.137449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length12.007446
Min length11

Characters and Unicode

Total characters20965
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1498 ?
Unique (%)85.8%

Sample

1st row055-345-9911
2nd row055-330-5021
3rd row055-323-9910
4th row055-345-2600
5th row055-345-8844
ValueCountFrequency (%)
055-343-1491 4
 
0.2%
055-314-2206 3
 
0.2%
055-323-8181 3
 
0.2%
055-344-2052 3
 
0.2%
055-338-2650 3
 
0.2%
055-345-6570 3
 
0.2%
055-323-8521 3
 
0.2%
055-327-3675 3
 
0.2%
055-322-8321 3
 
0.2%
055-345-1615 3
 
0.2%
Other values (1604) 1715
98.2%
2023-12-11T09:50:30.589281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 4434
21.1%
- 3494
16.7%
3 3013
14.4%
0 2798
13.3%
2 1481
 
7.1%
4 1380
 
6.6%
1 1141
 
5.4%
6 930
 
4.4%
7 837
 
4.0%
8 769
 
3.7%
Other values (2) 688
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17470
83.3%
Dash Punctuation 3494
 
16.7%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 4434
25.4%
3 3013
17.2%
0 2798
16.0%
2 1481
 
8.5%
4 1380
 
7.9%
1 1141
 
6.5%
6 930
 
5.3%
7 837
 
4.8%
8 769
 
4.4%
9 687
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 3494
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20965
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 4434
21.1%
- 3494
16.7%
3 3013
14.4%
0 2798
13.3%
2 1481
 
7.1%
4 1380
 
6.6%
1 1141
 
5.4%
6 930
 
4.4%
7 837
 
4.0%
8 769
 
3.7%
Other values (2) 688
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20965
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 4434
21.1%
- 3494
16.7%
3 3013
14.4%
0 2798
13.3%
2 1481
 
7.1%
4 1380
 
6.6%
1 1141
 
5.4%
6 930
 
4.4%
7 837
 
4.0%
8 769
 
3.7%
Other values (2) 688
 
3.3%

도로명주소
Text

Distinct1940
Distinct (%)96.3%
Missing3
Missing (%)0.1%
Memory size15.9 KiB
2023-12-11T09:50:30.852998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36
Mean length24.524566
Min length14

Characters and Unicode

Total characters49417
Distinct characters141
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1870 ?
Unique (%)92.8%

Sample

1st row경상남도 김해시 진영읍 김해대로 94-11
2nd row경상남도 김해시 김해대로2635번길 29
3rd row경상남도 김해시 생림면 장재로520번안길 8
4th row경상남도 김해시 진례면 서부로476번길 34
5th row경상남도 김해시 한림면 고모로 775
ValueCountFrequency (%)
김해시 2016
20.5%
경상남도 2015
20.5%
한림면 499
 
5.1%
주촌면 305
 
3.1%
진례면 244
 
2.5%
상동면 220
 
2.2%
진영읍 212
 
2.2%
생림면 211
 
2.1%
서부로1499번길 90
 
0.9%
상동로 69
 
0.7%
Other values (1616) 3955
40.2%
2023-12-11T09:50:31.236941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8725
17.7%
김 2367
 
4.8%
해 2367
 
4.8%
상 2346
 
4.7%
1 2145
 
4.3%
경 2017
 
4.1%
시 2016
 
4.1%
남 2015
 
4.1%
도 2015
 
4.1%
로 1977
 
4.0%
Other values (131) 21427
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28616
57.9%
Decimal Number 10947
 
22.2%
Space Separator 8725
 
17.7%
Dash Punctuation 1054
 
2.1%
Close Punctuation 22
 
< 0.1%
Open Punctuation 22
 
< 0.1%
Other Punctuation 19
 
< 0.1%
Uppercase Letter 11
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 2367
 
8.3%
해 2367
 
8.3%
상 2346
 
8.2%
경 2017
 
7.0%
시 2016
 
7.0%
남 2015
 
7.0%
도 2015
 
7.0%
로 1977
 
6.9%
면 1484
 
5.2%
길 1255
 
4.4%
Other values (110) 8757
30.6%
Decimal Number
ValueCountFrequency (%)
1 2145
19.6%
2 1437
13.1%
3 1201
11.0%
4 1083
9.9%
5 1066
9.7%
9 968
8.8%
6 949
8.7%
7 827
 
7.6%
0 664
 
6.1%
8 607
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
A 5
45.5%
B 3
27.3%
C 2
 
18.2%
L 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 18
94.7%
: 1
 
5.3%
Space Separator
ValueCountFrequency (%)
8725
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1054
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28617
57.9%
Common 20789
42.1%
Latin 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 2367
 
8.3%
해 2367
 
8.3%
상 2346
 
8.2%
경 2017
 
7.0%
시 2016
 
7.0%
남 2015
 
7.0%
도 2015
 
7.0%
로 1977
 
6.9%
면 1484
 
5.2%
길 1255
 
4.4%
Other values (111) 8758
30.6%
Common
ValueCountFrequency (%)
8725
42.0%
1 2145
 
10.3%
2 1437
 
6.9%
3 1201
 
5.8%
4 1083
 
5.2%
5 1066
 
5.1%
- 1054
 
5.1%
9 968
 
4.7%
6 949
 
4.6%
7 827
 
4.0%
Other values (6) 1334
 
6.4%
Latin
ValueCountFrequency (%)
A 5
45.5%
B 3
27.3%
C 2
 
18.2%
L 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28615
57.9%
ASCII 20800
42.1%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8725
41.9%
1 2145
 
10.3%
2 1437
 
6.9%
3 1201
 
5.8%
4 1083
 
5.2%
5 1066
 
5.1%
- 1054
 
5.1%
9 968
 
4.7%
6 949
 
4.6%
7 827
 
4.0%
Other values (10) 1345
 
6.5%
Hangul
ValueCountFrequency (%)
김 2367
 
8.3%
해 2367
 
8.3%
상 2346
 
8.2%
경 2017
 
7.0%
시 2016
 
7.0%
남 2015
 
7.0%
도 2015
 
7.0%
로 1977
 
6.9%
면 1484
 
5.2%
길 1255
 
4.4%
Other values (109) 8756
30.6%
Compat Jamo
ValueCountFrequency (%)
ㄴ 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업종
Text

Distinct829
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
2023-12-11T09:50:31.483694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41
Mean length12.070862
Min length2

Characters and Unicode

Total characters24359
Distinct characters321
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

Unique573 ?
Unique (%)28.4%

Sample

1st row기초무기화합물제조
2nd row전동기및발전기제조업
3rd row식품제조
4th row스폰지제조업
5th row사료제조
ValueCountFrequency (%)
및 76
 
3.1%
도장및기타피막처리업 66
 
2.7%
선박구성부분품제조업 61
 
2.5%
자동차종합수리업 43
 
1.8%
외 43
 
1.8%
그외기타자동차부품제조업 41
 
1.7%
금속열처리업 39
 
1.6%
지정외폐기물처리업 35
 
1.4%
플라스틱제품제조 32
 
1.3%
제조업 32
 
1.3%
Other values (923) 1985
80.9%
2023-12-11T09:50:31.922818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 1865
 
7.7%
업 1793
 
7.4%
조 1486
 
6.1%
기 908
 
3.7%
품 800
 
3.3%
2 628
 
2.6%
및 572
 
2.3%
타 555
 
2.3%
488
 
2.0%
리 455
 
1.9%
Other values (311) 14809
60.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20570
84.4%
Decimal Number 2222
 
9.1%
Space Separator 488
 
2.0%
Open Punctuation 425
 
1.7%
Close Punctuation 422
 
1.7%
Other Punctuation 232
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1865
 
9.1%
업 1793
 
8.7%
조 1486
 
7.2%
기 908
 
4.4%
품 800
 
3.9%
및 572
 
2.8%
타 555
 
2.7%
리 455
 
2.2%
금 451
 
2.2%
속 413
 
2.0%
Other values (296) 11272
54.8%
Decimal Number
ValueCountFrequency (%)
2 628
28.3%
1 436
19.6%
3 365
16.4%
9 286
12.9%
0 192
 
8.6%
5 110
 
5.0%
8 90
 
4.1%
4 78
 
3.5%
6 22
 
1.0%
7 15
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 230
99.1%
. 2
 
0.9%
Space Separator
ValueCountFrequency (%)
488
100.0%
Open Punctuation
ValueCountFrequency (%)
( 425
100.0%
Close Punctuation
ValueCountFrequency (%)
) 422
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20570
84.4%
Common 3789
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1865
 
9.1%
업 1793
 
8.7%
조 1486
 
7.2%
기 908
 
4.4%
품 800
 
3.9%
및 572
 
2.8%
타 555
 
2.7%
리 455
 
2.2%
금 451
 
2.2%
속 413
 
2.0%
Other values (296) 11272
54.8%
Common
ValueCountFrequency (%)
2 628
16.6%
488
12.9%
1 436
11.5%
( 425
11.2%
) 422
11.1%
3 365
9.6%
9 286
7.5%
, 230
 
6.1%
0 192
 
5.1%
5 110
 
2.9%
Other values (5) 207
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20570
84.4%
ASCII 3789
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 1865
 
9.1%
업 1793
 
8.7%
조 1486
 
7.2%
기 908
 
4.4%
품 800
 
3.9%
및 572
 
2.8%
타 555
 
2.7%
리 455
 
2.2%
금 451
 
2.2%
속 413
 
2.0%
Other values (296) 11272
54.8%
ASCII
ValueCountFrequency (%)
2 628
16.6%
488
12.9%
1 436
11.5%
( 425
11.2%
) 422
11.1%
3 365
9.6%
9 286
7.5%
, 230
 
6.1%
0 192
 
5.1%
5 110
 
2.9%
Other values (5) 207
 
5.5%

종수
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
5
1177 
4
740 
3
 
58
2
 
32
1
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row4
3rd row5
4th row5
5th row2

Common Values

ValueCountFrequency (%)
5 1177
58.3%
4 740
36.7%
3 58
 
2.9%
2 32
 
1.6%
1 11
 
0.5%

Length

2023-12-11T09:50:32.081929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:50:32.229863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 1177
58.3%
4 740
36.7%
3 58
 
2.9%
2 32
 
1.6%
1 11
 
0.5%

신고일자
Text

Distinct1702
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size15.9 KiB
2023-12-11T09:50:32.624660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length9.9910803
Min length6

Characters and Unicode

Total characters20162
Distinct characters27
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

Unique1428 ?
Unique (%)70.8%

Sample

1st row1978-06-01
2nd row1979-08-10
3rd row1980-07-10
4th row1982-09-01
5th row1983-03-12
ValueCountFrequency (%)
2018-04-03 5
 
0.2%
2021-01-21 4
 
0.2%
2018-06-27 4
 
0.2%
2009-04-08 4
 
0.2%
2007-11-22 4
 
0.2%
2019-04-15 4
 
0.2%
2019-05-22 4
 
0.2%
2020-09-29 3
 
0.1%
2019-03-06 3
 
0.1%
2016-12-28 3
 
0.1%
Other values (1692) 1980
98.1%
2023-12-11T09:50:33.180196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5090
25.2%
- 4029
20.0%
2 3228
16.0%
1 3101
15.4%
9 1070
 
5.3%
3 686
 
3.4%
5 602
 
3.0%
7 601
 
3.0%
6 587
 
2.9%
8 581
 
2.9%
Other values (17) 587
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16110
79.9%
Dash Punctuation 4029
 
20.0%
Lowercase Letter 10
 
< 0.1%
Uppercase Letter 5
 
< 0.1%
Other Letter 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5090
31.6%
2 3228
20.0%
1 3101
19.2%
9 1070
 
6.6%
3 686
 
4.3%
5 602
 
3.7%
7 601
 
3.7%
6 587
 
3.6%
8 581
 
3.6%
4 564
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
a 3
30.0%
r 3
30.0%
o 1
 
10.0%
v 1
 
10.0%
p 1
 
10.0%
y 1
 
10.0%
Other Letter
ValueCountFrequency (%)
의 1
25.0%
제 1
25.0%
처 1
25.0%
리 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
M 3
60.0%
N 1
 
20.0%
A 1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 4029
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20143
99.9%
Latin 15
 
0.1%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5090
25.3%
- 4029
20.0%
2 3228
16.0%
1 3101
15.4%
9 1070
 
5.3%
3 686
 
3.4%
5 602
 
3.0%
7 601
 
3.0%
6 587
 
2.9%
8 581
 
2.9%
Other values (4) 568
 
2.8%
Latin
ValueCountFrequency (%)
a 3
20.0%
r 3
20.0%
M 3
20.0%
N 1
 
6.7%
o 1
 
6.7%
v 1
 
6.7%
A 1
 
6.7%
p 1
 
6.7%
y 1
 
6.7%
Hangul
ValueCountFrequency (%)
의 1
25.0%
제 1
25.0%
처 1
25.0%
리 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20158
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5090
25.3%
- 4029
20.0%
2 3228
16.0%
1 3101
15.4%
9 1070
 
5.3%
3 686
 
3.4%
5 602
 
3.0%
7 601
 
3.0%
6 587
 
2.9%
8 581
 
2.9%
Other values (13) 583
 
2.9%
Hangul
ValueCountFrequency (%)
의 1
25.0%
제 1
25.0%
처 1
25.0%
리 1
25.0%

위도
Real number (ℝ)

Distinct1861
Distinct (%)92.4%
Missing3
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean35.27715
Minimum35.16185
Maximum35.37807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.9 KiB
2023-12-11T09:50:33.342754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.16185
5-th percentile35.218807
Q135.238484
median35.284444
Q335.307262
95-th percentile35.329246
Maximum35.37807
Range0.21621975
Interquartile range (IQR)0.06877828

Descriptive statistics

Standard deviation0.038032884
Coefficient of variation (CV)0.0010781167
Kurtosis-0.93784834
Mean35.27715
Median Absolute Deviation (MAD)0.03080314
Skewness-0.13020279
Sum71083.456
Variance0.0014465003
MonotonicityNot monotonic
2023-12-11T09:50:33.487170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.24770563 17
 
0.8%
35.31095776 9
 
0.4%
35.26109181 7
 
0.3%
35.29844161 5
 
0.2%
35.31392035 4
 
0.2%
35.33790693 3
 
0.1%
35.3139829 3
 
0.1%
35.21277254 3
 
0.1%
35.32046819 3
 
0.1%
35.23315611 3
 
0.1%
Other values (1851) 1958
97.0%
ValueCountFrequency (%)
35.16185008 1
< 0.1%
35.16473128 1
< 0.1%
35.16657304 1
< 0.1%
35.1726006 1
< 0.1%
35.17891261 1
< 0.1%
35.18681865 1
< 0.1%
35.18730728 1
< 0.1%
35.18785453 1
< 0.1%
35.18797595 1
< 0.1%
35.1930412 1
< 0.1%
ValueCountFrequency (%)
35.37806983 1
< 0.1%
35.37567879 2
0.1%
35.37555608 1
< 0.1%
35.37534324 1
< 0.1%
35.37490618 1
< 0.1%
35.37490077 1
< 0.1%
35.37416867 1
< 0.1%
35.37397901 1
< 0.1%
35.37382002 1
< 0.1%
35.37368557 1
< 0.1%

경도
Real number (ℝ)

Distinct1862
Distinct (%)92.4%
Missing3
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean128.82596
Minimum128.70761
Maximum128.97819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.9 KiB
2023-12-11T09:50:33.633647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.70761
5-th percentile128.74904
Q1128.77851
median128.81532
Q3128.86792
95-th percentile128.91899
Maximum128.97819
Range0.2705814
Interquartile range (IQR)0.08940835

Descriptive statistics

Standard deviation0.057316688
Coefficient of variation (CV)0.00044491567
Kurtosis-0.60021436
Mean128.82596
Median Absolute Deviation (MAD)0.0390532
Skewness0.47268128
Sum259584.31
Variance0.0032852027
MonotonicityNot monotonic
2023-12-11T09:50:33.804062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.7603646 17
 
0.8%
128.8047243 9
 
0.4%
128.8379695 7
 
0.3%
128.7392234 5
 
0.2%
128.7506256 4
 
0.2%
128.7783177 3
 
0.1%
128.8147328 3
 
0.1%
128.8437544 3
 
0.1%
128.8144348 3
 
0.1%
128.8459354 3
 
0.1%
Other values (1852) 1958
97.0%
ValueCountFrequency (%)
128.7076082 1
< 0.1%
128.7089459 1
< 0.1%
128.7091531 1
< 0.1%
128.7095565 1
< 0.1%
128.7095776 1
< 0.1%
128.7100145 1
< 0.1%
128.7102397 1
< 0.1%
128.7109751 1
< 0.1%
128.7151775 2
0.1%
128.7179104 1
< 0.1%
ValueCountFrequency (%)
128.9781896 1
< 0.1%
128.9740904 1
< 0.1%
128.9730803 1
< 0.1%
128.9680008 1
< 0.1%
128.9671065 1
< 0.1%
128.9670191 1
< 0.1%
128.9669067 2
0.1%
128.9668946 1
< 0.1%
128.9668611 1
< 0.1%
128.9667244 1
< 0.1%

Interactions

2023-12-11T09:50:28.303328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:50:27.742955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:50:28.043537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:50:28.394718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:50:27.838220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:50:28.124334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:50:28.471887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:50:27.932106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:50:28.191146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:50:33.927626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준종수위도경도
기준1.0000.2680.1650.240
종수0.2681.0000.0910.133
위도0.1650.0911.0000.720
경도0.2400.1330.7201.000
2023-12-11T09:50:34.036068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준위도경도종수
기준1.0000.016-0.1030.114
위도0.0161.000-0.0440.038
경도-0.103-0.0441.0000.055
종수0.1140.0380.0551.000

Missing values

2023-12-11T09:50:28.587611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:50:28.707780image/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.
2023-12-11T09:50:28.806537image/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

기준업체명전화번호도로명주소업종종수신고일자위도경도
01㈜중일옥사이드055-345-9911경상남도 김해시 진영읍 김해대로 94-11기초무기화합물제조21978-06-0135.29628128.708946
12㈜씨앤엠055-330-5021경상남도 김해시 김해대로2635번길 29전동기및발전기제조업41979-08-1035.231492128.913588
23아세아식품055-323-9910경상남도 김해시 생림면 장재로520번안길 8식품제조51980-07-1035.323312128.847389
34진례산업㈜055-345-2600경상남도 김해시 진례면 서부로476번길 34스폰지제조업51982-09-0135.261692128.746483
45김해축협배합사료공장055-345-8844경상남도 김해시 한림면 고모로 775사료제조21983-03-1235.291325128.77865
56㈜제이케이유화055-329-4445경상남도 김해시 김해대로2579번길 36윤활유및그리스제조업41984-04-1035.231721128.910614
67한성기업㈜김해공장055-333-4676경상남도 김해시 삼안로 51음식료품제조시설41984-06-2235.233122128.917287
78한통아스콘㈜055-346-1100경상남도 김해시 한림면 안곡로 265아스콘제조업21999-06-2135.285243128.850531
89르노삼성자동차 김해정비사업소㈜055-333-2626경상남도 김해시 김해대로2635번길 6자동차종합수리업41986-01-2535.229698128.915908
910신광산업055-335-2481경상남도 김해시 김해대로2579번길 38-1플라스틱발포성형제품제조업41986-04-0335.232414128.910786
기준업체명전화번호도로명주소업종종수신고일자위도경도
20082009영남열처리055-342-2747경상남도 김해시 한림면 병동산단로 68금속열처리업52021-08-0935.292679128.797694
20092010더클래스<NA>경상남도 김해시 분성로627번길 53-57치약, 비누 및 기타세제제조업 외 152021-08-1035.239377128.910293
20102011아시아페인트(주)<NA>경상남도 김해시 진영읍 본산리 309-21,22일반용도료 및 관련제품제조업52021-08-1335.318383128.754835
20112012동성산업<NA>경상남도 김해시 주촌면 서부로1409번길 108선박구성부분품제조업42021-08-2535.231367128.816427
20122013㈜케이에스중장비055-724-2357경상남도 김해시 생림면 장재로520번길 55그외자동차용신품부품제조업42021-08-2635.320002128.851588
20132014씨에스종합건설주식회사055-313-0484경상남도 김해시 장유동 산 57-15건설업52021-08-3035.16185128.82707
20142015창인토건㈜<NA>경상남도 김해시 장유동 산 76-1번지 외 1필지건설업52021-08-3035.164731128.819613
20152016원테크<NA>경상남도 김해시 생림면 사촌리 산39 외 1공장건립을위한개발행위52021-08-3035.315409128.872446
20162017주식회사 리드엔텍055-343-3602경상남도 김해시 한림면 김해대로1402번길 36금속류해체및선별업42021-08-2735.276188128.823825
20172018주식회사 한해그린텍<NA>경상남도 김해시 주촌면 서부로1541번안길 50-34폐기물처리업52021-08-1835.237369128.809928