Overview

Dataset statistics

Number of variables9
Number of observations1341
Missing cells161
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory97.0 KiB
Average record size in memory74.1 B

Variable types

Numeric1
Text7
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 is highly imbalanced (92.8%)Imbalance
전화번호 has 160 (11.9%) missing valuesMissing
기준 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:32:46.868654
Analysis finished2023-12-11 00:32:47.793531
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준
Real number (ℝ)

UNIQUE 

Distinct1341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean671
Minimum1
Maximum1341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2023-12-11T09:32:47.856597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile68
Q1336
median671
Q31006
95-th percentile1274
Maximum1341
Range1340
Interquartile range (IQR)670

Descriptive statistics

Standard deviation387.25767
Coefficient of variation (CV)0.57713512
Kurtosis-1.2
Mean671
Median Absolute Deviation (MAD)335
Skewness0
Sum899811
Variance149968.5
MonotonicityStrictly increasing
2023-12-11T09:32:47.972404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
902 1
 
0.1%
900 1
 
0.1%
899 1
 
0.1%
898 1
 
0.1%
897 1
 
0.1%
896 1
 
0.1%
895 1
 
0.1%
894 1
 
0.1%
893 1
 
0.1%
Other values (1331) 1331
99.3%
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 (%)
1341 1
0.1%
1340 1
0.1%
1339 1
0.1%
1338 1
0.1%
1337 1
0.1%
1336 1
0.1%
1335 1
0.1%
1334 1
0.1%
1333 1
0.1%
1332 1
0.1%

업체명
Text

Distinct1314
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2023-12-11T09:32:48.190303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length20
Mean length6.2759135
Min length2

Characters and Unicode

Total characters8416
Distinct characters483
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

Unique1290 ?
Unique (%)96.2%

Sample

1st row㈜씨앤엠
2nd row㈜한보메디팜
3rd row아세아식품
4th row부산카세차장
5th row㈜빙그레 김해공장
ValueCountFrequency (%)
주식회사 22
 
1.5%
김해공장 8
 
0.5%
의료법인 6
 
0.4%
2공장 6
 
0.4%
㈜태창포징 3
 
0.2%
김해 3
 
0.2%
㈜한성 3
 
0.2%
안동지점 3
 
0.2%
제2공장 3
 
0.2%
㈜보원산업 3
 
0.2%
Other values (1365) 1411
95.9%
2023-12-11T09:32:48.517140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 684
 
8.1%
업 189
 
2.2%
산 174
 
2.1%
스 173
 
2.1%
이 171
 
2.0%
유 160
 
1.9%
성 142
 
1.7%
장 136
 
1.6%
주 135
 
1.6%
132
 
1.6%
Other values (473) 6320
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7195
85.5%
Other Symbol 684
 
8.1%
Uppercase Letter 213
 
2.5%
Space Separator 132
 
1.6%
Decimal Number 59
 
0.7%
Close Punctuation 39
 
0.5%
Open Punctuation 39
 
0.5%
Other Punctuation 29
 
0.3%
Lowercase Letter 24
 
0.3%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 189
 
2.6%
산 174
 
2.4%
스 173
 
2.4%
이 171
 
2.4%
유 160
 
2.2%
성 142
 
2.0%
장 136
 
1.9%
주 135
 
1.9%
지 122
 
1.7%
공 121
 
1.7%
Other values (418) 5672
78.8%
Uppercase Letter
ValueCountFrequency (%)
S 21
 
9.9%
C 19
 
8.9%
T 19
 
8.9%
E 17
 
8.0%
K 13
 
6.1%
P 12
 
5.6%
A 12
 
5.6%
H 10
 
4.7%
I 10
 
4.7%
N 9
 
4.2%
Other values (14) 71
33.3%
Lowercase Letter
ValueCountFrequency (%)
c 4
16.7%
a 3
12.5%
i 3
12.5%
o 3
12.5%
r 2
8.3%
y 2
8.3%
t 1
 
4.2%
s 1
 
4.2%
m 1
 
4.2%
g 1
 
4.2%
Other values (3) 3
12.5%
Decimal Number
ValueCountFrequency (%)
2 28
47.5%
1 10
 
16.9%
4 8
 
13.6%
3 5
 
8.5%
7 4
 
6.8%
0 2
 
3.4%
8 1
 
1.7%
9 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 21
72.4%
& 5
 
17.2%
: 1
 
3.4%
, 1
 
3.4%
/ 1
 
3.4%
Other Symbol
ValueCountFrequency (%)
㈜ 684
100.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7879
93.6%
Common 300
 
3.6%
Latin 237
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 684
 
8.7%
업 189
 
2.4%
산 174
 
2.2%
스 173
 
2.2%
이 171
 
2.2%
유 160
 
2.0%
성 142
 
1.8%
장 136
 
1.7%
주 135
 
1.7%
지 122
 
1.5%
Other values (419) 5793
73.5%
Latin
ValueCountFrequency (%)
S 21
 
8.9%
C 19
 
8.0%
T 19
 
8.0%
E 17
 
7.2%
K 13
 
5.5%
P 12
 
5.1%
A 12
 
5.1%
H 10
 
4.2%
I 10
 
4.2%
N 9
 
3.8%
Other values (27) 95
40.1%
Common
ValueCountFrequency (%)
132
44.0%
) 39
 
13.0%
( 39
 
13.0%
2 28
 
9.3%
. 21
 
7.0%
1 10
 
3.3%
4 8
 
2.7%
& 5
 
1.7%
3 5
 
1.7%
7 4
 
1.3%
Other values (7) 9
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7195
85.5%
None 684
 
8.1%
ASCII 537
 
6.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 684
100.0%
Hangul
ValueCountFrequency (%)
업 189
 
2.6%
산 174
 
2.4%
스 173
 
2.4%
이 171
 
2.4%
유 160
 
2.2%
성 142
 
2.0%
장 136
 
1.9%
주 135
 
1.9%
지 122
 
1.7%
공 121
 
1.7%
Other values (418) 5672
78.8%
ASCII
ValueCountFrequency (%)
132
24.6%
) 39
 
7.3%
( 39
 
7.3%
2 28
 
5.2%
. 21
 
3.9%
S 21
 
3.9%
C 19
 
3.5%
T 19
 
3.5%
E 17
 
3.2%
K 13
 
2.4%
Other values (44) 189
35.2%

전화번호
Text

MISSING 

Distinct1121
Distinct (%)94.9%
Missing160
Missing (%)11.9%
Memory size10.6 KiB
2023-12-11T09:32:48.726663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010161
Min length9

Characters and Unicode

Total characters14184
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

Unique1066 ?
Unique (%)90.3%

Sample

1st row055-330-5023
2nd row055-345-5266
3rd row055-323-9910
4th row055-342-3377
5th row055-340-2200
ValueCountFrequency (%)
055-333-3311 3
 
0.3%
055-342-5270 3
 
0.3%
055-325-9972 3
 
0.3%
055-338-2277 3
 
0.3%
055-336-2925 3
 
0.3%
055-327-3675 2
 
0.2%
055-314-0891 2
 
0.2%
055-325-6124 2
 
0.2%
055-338-2650 2
 
0.2%
055-338-0027 2
 
0.2%
Other values (1111) 1156
97.9%
2023-12-11T09:32:49.065617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2958
20.9%
- 2361
16.6%
3 2103
14.8%
0 1932
13.6%
2 1021
 
7.2%
4 840
 
5.9%
1 813
 
5.7%
6 613
 
4.3%
7 587
 
4.1%
8 511
 
3.6%
Other values (2) 445
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11822
83.3%
Dash Punctuation 2361
 
16.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2958
25.0%
3 2103
17.8%
0 1932
16.3%
2 1021
 
8.6%
4 840
 
7.1%
1 813
 
6.9%
6 613
 
5.2%
7 587
 
5.0%
8 511
 
4.3%
9 444
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 2361
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2958
20.9%
- 2361
16.6%
3 2103
14.8%
0 1932
13.6%
2 1021
 
7.2%
4 840
 
5.9%
1 813
 
5.7%
6 613
 
4.3%
7 587
 
4.1%
8 511
 
3.6%
Other values (2) 445
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2958
20.9%
- 2361
16.6%
3 2103
14.8%
0 1932
13.6%
2 1021
 
7.2%
4 840
 
5.9%
1 813
 
5.7%
6 613
 
4.3%
7 587
 
4.1%
8 511
 
3.6%
Other values (2) 445
 
3.1%

도로명주소
Text

Distinct1308
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2023-12-11T09:32:49.299728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length23.61745
Min length14

Characters and Unicode

Total characters31671
Distinct characters144
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

Unique1282 ?
Unique (%)95.6%

Sample

1st row경상남도 김해시 김해대로2635번길 29
2nd row경상남도 김해시 진례면 진례로371번길 71
3rd row경상남도 김해시 생림면 장재로520번안길 8
4th row경상남도 김해시 생림면 장재로520번안길 8
5th row경상남도 김해시 한림면 고모로 768
ValueCountFrequency (%)
경상남도 1341
21.2%
김해시 1341
21.2%
주촌면 253
 
4.0%
한림면 195
 
3.1%
진영읍 132
 
2.1%
진례면 125
 
2.0%
생림면 104
 
1.6%
상동면 81
 
1.3%
김해대로 71
 
1.1%
서부로1499번길 58
 
0.9%
Other values (1255) 2639
41.6%
2023-12-11T09:32:49.883984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5544
17.5%
해 1571
 
5.0%
김 1570
 
5.0%
상 1464
 
4.6%
1 1407
 
4.4%
경 1342
 
4.2%
남 1342
 
4.2%
도 1341
 
4.2%
시 1341
 
4.2%
로 1298
 
4.1%
Other values (134) 13451
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18352
57.9%
Decimal Number 7035
 
22.2%
Space Separator 5544
 
17.5%
Dash Punctuation 622
 
2.0%
Close Punctuation 39
 
0.1%
Open Punctuation 39
 
0.1%
Other Punctuation 33
 
0.1%
Uppercase Letter 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 1571
 
8.6%
김 1570
 
8.6%
상 1464
 
8.0%
경 1342
 
7.3%
남 1342
 
7.3%
도 1341
 
7.3%
시 1341
 
7.3%
로 1298
 
7.1%
길 777
 
4.2%
번 777
 
4.2%
Other values (113) 5529
30.1%
Decimal Number
ValueCountFrequency (%)
1 1407
20.0%
2 874
12.4%
3 805
11.4%
5 719
10.2%
4 718
10.2%
9 629
8.9%
6 615
8.7%
7 468
 
6.7%
0 414
 
5.9%
8 386
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
50.0%
A 1
 
16.7%
L 1
 
16.7%
F 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 31
93.9%
: 2
 
6.1%
Space Separator
ValueCountFrequency (%)
5544
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 622
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18352
57.9%
Common 13313
42.0%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 1571
 
8.6%
김 1570
 
8.6%
상 1464
 
8.0%
경 1342
 
7.3%
남 1342
 
7.3%
도 1341
 
7.3%
시 1341
 
7.3%
로 1298
 
7.1%
길 777
 
4.2%
번 777
 
4.2%
Other values (113) 5529
30.1%
Common
ValueCountFrequency (%)
5544
41.6%
1 1407
 
10.6%
2 874
 
6.6%
3 805
 
6.0%
5 719
 
5.4%
4 718
 
5.4%
9 629
 
4.7%
- 622
 
4.7%
6 615
 
4.6%
7 468
 
3.5%
Other values (7) 912
 
6.9%
Latin
ValueCountFrequency (%)
B 3
50.0%
A 1
 
16.7%
L 1
 
16.7%
F 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18352
57.9%
ASCII 13319
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5544
41.6%
1 1407
 
10.6%
2 874
 
6.6%
3 805
 
6.0%
5 719
 
5.4%
4 718
 
5.4%
9 629
 
4.7%
- 622
 
4.7%
6 615
 
4.6%
7 468
 
3.5%
Other values (11) 918
 
6.9%
Hangul
ValueCountFrequency (%)
해 1571
 
8.6%
김 1570
 
8.6%
상 1464
 
8.0%
경 1342
 
7.3%
남 1342
 
7.3%
도 1341
 
7.3%
시 1341
 
7.3%
로 1298
 
7.1%
길 777
 
4.2%
번 777
 
4.2%
Other values (113) 5529
30.1%

업종
Text

Distinct600
Distinct (%)44.8%
Missing1
Missing (%)0.1%
Memory size10.6 KiB
2023-12-11T09:32:50.074733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length33
Mean length11.162687
Min length2

Characters and Unicode

Total characters14958
Distinct characters286
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

Unique431 ?
Unique (%)32.2%

Sample

1st row전동기및발전기제조업
2nd row기타비알콜음료제조업
3rd row식품제조
4th row세차장
5th row낙농제품및아이스크림제조
ValueCountFrequency (%)
및 67
 
3.9%
자동차세차업 54
 
3.2%
주유소운영업 48
 
2.8%
외 43
 
2.5%
세차시설 34
 
2.0%
도장및기타피막처리업 30
 
1.8%
자동차세차업(95213 25
 
1.5%
기타자동차부품제조업 23
 
1.4%
제조업 23
 
1.4%
그외기타자동차부품제조업 22
 
1.3%
Other values (664) 1328
78.3%
2023-12-11T09:32:50.373039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 1150
 
7.7%
제 931
 
6.2%
조 779
 
5.2%
기 521
 
3.5%
품 404
 
2.7%
및 391
 
2.6%
362
 
2.4%
2 351
 
2.3%
차 351
 
2.3%
타 302
 
2.0%
Other values (276) 9416
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12745
85.2%
Decimal Number 1241
 
8.3%
Space Separator 362
 
2.4%
Open Punctuation 233
 
1.6%
Close Punctuation 232
 
1.6%
Other Punctuation 145
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1150
 
9.0%
제 931
 
7.3%
조 779
 
6.1%
기 521
 
4.1%
품 404
 
3.2%
및 391
 
3.1%
차 351
 
2.8%
타 302
 
2.4%
리 254
 
2.0%
금 232
 
1.8%
Other values (261) 7430
58.3%
Decimal Number
ValueCountFrequency (%)
2 351
28.3%
1 243
19.6%
3 201
16.2%
9 178
14.3%
0 87
 
7.0%
5 69
 
5.6%
4 50
 
4.0%
8 34
 
2.7%
7 19
 
1.5%
6 9
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 143
98.6%
. 2
 
1.4%
Space Separator
ValueCountFrequency (%)
362
100.0%
Open Punctuation
ValueCountFrequency (%)
( 233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 232
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12745
85.2%
Common 2213
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1150
 
9.0%
제 931
 
7.3%
조 779
 
6.1%
기 521
 
4.1%
품 404
 
3.2%
및 391
 
3.1%
차 351
 
2.8%
타 302
 
2.4%
리 254
 
2.0%
금 232
 
1.8%
Other values (261) 7430
58.3%
Common
ValueCountFrequency (%)
362
16.4%
2 351
15.9%
1 243
11.0%
( 233
10.5%
) 232
10.5%
3 201
9.1%
9 178
8.0%
, 143
 
6.5%
0 87
 
3.9%
5 69
 
3.1%
Other values (5) 114
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12745
85.2%
ASCII 2213
 
14.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 1150
 
9.0%
제 931
 
7.3%
조 779
 
6.1%
기 521
 
4.1%
품 404
 
3.2%
및 391
 
3.1%
차 351
 
2.8%
타 302
 
2.4%
리 254
 
2.0%
금 232
 
1.8%
Other values (261) 7430
58.3%
ASCII
ValueCountFrequency (%)
362
16.4%
2 351
15.9%
1 243
11.0%
( 233
10.5%
) 232
10.5%
3 201
9.1%
9 178
8.0%
, 143
 
6.5%
0 87
 
3.9%
5 69
 
3.1%
Other values (5) 114
 
5.2%

종수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
5
1314 
4
 
20
2
 
3
1
 
3
3
 
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 row2

Common Values

ValueCountFrequency (%)
5 1314
98.0%
4 20
 
1.5%
2 3
 
0.2%
1 3
 
0.2%
3 1
 
0.1%

Length

2023-12-11T09:32:50.486438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:32:50.586450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 1314
98.0%
4 20
 
1.5%
2 3
 
0.2%
1 3
 
0.2%
3 1
 
0.1%

신고일자
Text

Distinct1140
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2023-12-11T09:32:50.825214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9977629
Min length8

Characters and Unicode

Total characters13407
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

Unique974 ?
Unique (%)72.6%

Sample

1st row1979-08-10
2nd row1980-06-30
3rd row1980-07-10
4th row1980-12-12
5th row1981-06-13
ValueCountFrequency (%)
2004-11-03 6
 
0.4%
2008-04-07 5
 
0.4%
2002-08-19 5
 
0.4%
2021-06-21 4
 
0.3%
2009-03-31 4
 
0.3%
2008-04-21 3
 
0.2%
2020-09-04 3
 
0.2%
2018-12-31 3
 
0.2%
2014-07-10 3
 
0.2%
2011-01-27 3
 
0.2%
Other values (1130) 1302
97.1%
2023-12-11T09:32:51.217758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3383
25.2%
- 2681
20.0%
2 2181
16.3%
1 2083
15.5%
9 630
 
4.7%
3 458
 
3.4%
6 412
 
3.1%
7 410
 
3.1%
4 408
 
3.0%
5 399
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10726
80.0%
Dash Punctuation 2681
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3383
31.5%
2 2181
20.3%
1 2083
19.4%
9 630
 
5.9%
3 458
 
4.3%
6 412
 
3.8%
7 410
 
3.8%
4 408
 
3.8%
5 399
 
3.7%
8 362
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 2681
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13407
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3383
25.2%
- 2681
20.0%
2 2181
16.3%
1 2083
15.5%
9 630
 
4.7%
3 458
 
3.4%
6 412
 
3.1%
7 410
 
3.1%
4 408
 
3.0%
5 399
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13407
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3383
25.2%
- 2681
20.0%
2 2181
16.3%
1 2083
15.5%
9 630
 
4.7%
3 458
 
3.4%
6 412
 
3.1%
7 410
 
3.1%
4 408
 
3.0%
5 399
 
3.0%

위도
Text

Distinct1257
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2023-12-11T09:32:51.419644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.982103
Min length9

Characters and Unicode

Total characters18750
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1210 ?
Unique (%)90.2%

Sample

1st row35.2314917000
2nd row35.2613951500
3rd row35.3233123000
4th row35.3233123000
5th row35.2904196200
ValueCountFrequency (%)
35.2260846400 14
 
1.0%
35.2477056300 10
 
0.7%
35.2367694000 7
 
0.5%
35.2610918100 6
 
0.4%
35.2984416100 4
 
0.3%
35.2376914300 4
 
0.3%
35.3109577600 3
 
0.2%
35.3233123000 3
 
0.2%
35.2256905400 3
 
0.2%
35.3379069300 3
 
0.2%
Other values (1247) 1284
95.7%
2023-12-11T09:32:51.725704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3618
19.3%
3 2664
14.2%
5 2187
11.7%
2 2012
10.7%
. 1336
 
7.1%
1336
 
7.1%
1 1036
 
5.5%
7 929
 
5.0%
4 923
 
4.9%
6 916
 
4.9%
Other values (14) 1793
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16050
85.6%
Other Punctuation 1336
 
7.1%
Space Separator 1336
 
7.1%
Other Letter 28
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
번 5
17.9%
길 5
17.9%
로 5
17.9%
서 3
10.7%
부 3
10.7%
골 1
 
3.6%
든 1
 
3.6%
루 1
 
3.6%
트 1
 
3.6%
김 1
 
3.6%
Other values (2) 2
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 3618
22.5%
3 2664
16.6%
5 2187
13.6%
2 2012
12.5%
1 1036
 
6.5%
7 929
 
5.8%
4 923
 
5.8%
6 916
 
5.7%
9 912
 
5.7%
8 853
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 1336
100.0%
Space Separator
ValueCountFrequency (%)
1336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 18722
99.9%
Hangul 28
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3618
19.3%
3 2664
14.2%
5 2187
11.7%
2 2012
10.7%
. 1336
 
7.1%
1336
 
7.1%
1 1036
 
5.5%
7 929
 
5.0%
4 923
 
4.9%
6 916
 
4.9%
Other values (2) 1765
9.4%
Hangul
ValueCountFrequency (%)
번 5
17.9%
길 5
17.9%
로 5
17.9%
서 3
10.7%
부 3
10.7%
골 1
 
3.6%
든 1
 
3.6%
루 1
 
3.6%
트 1
 
3.6%
김 1
 
3.6%
Other values (2) 2
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18722
99.9%
Hangul 28
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3618
19.3%
3 2664
14.2%
5 2187
11.7%
2 2012
10.7%
. 1336
 
7.1%
1336
 
7.1%
1 1036
 
5.5%
7 929
 
5.0%
4 923
 
4.9%
6 916
 
4.9%
Other values (2) 1765
9.4%
Hangul
ValueCountFrequency (%)
번 5
17.9%
길 5
17.9%
로 5
17.9%
서 3
10.7%
부 3
10.7%
골 1
 
3.6%
든 1
 
3.6%
루 1
 
3.6%
트 1
 
3.6%
김 1
 
3.6%
Other values (2) 2
 
7.1%

경도
Text

Distinct1257
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2023-12-11T09:32:51.952954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.985086
Min length10

Characters and Unicode

Total characters20095
Distinct characters22
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1210 ?
Unique (%)90.2%

Sample

1st row128.9135884000
2nd row128.7419743000
3rd row128.8473888000
4th row128.8473888000
5th row128.7820709000
ValueCountFrequency (%)
128.8124196000 14
 
1.0%
128.7603646000 10
 
0.7%
128.8252599000 7
 
0.5%
128.8379695000 6
 
0.4%
128.7392234000 4
 
0.3%
128.9090546000 4
 
0.3%
128.8047243000 3
 
0.2%
128.8473888000 3
 
0.2%
128.8107019000 3
 
0.2%
128.8459354000 3
 
0.2%
Other values (1247) 1284
95.7%
2023-12-11T09:32:52.377509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4873
24.2%
8 2749
13.7%
1 2293
11.4%
2 2177
10.8%
. 1338
 
6.7%
1338
 
6.7%
7 1188
 
5.9%
9 998
 
5.0%
4 802
 
4.0%
5 796
 
4.0%
Other values (12) 1543
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17399
86.6%
Other Punctuation 1338
 
6.7%
Space Separator 1338
 
6.7%
Other Letter 20
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4873
28.0%
8 2749
15.8%
1 2293
13.2%
2 2177
12.5%
7 1188
 
6.8%
9 998
 
5.7%
4 802
 
4.6%
5 796
 
4.6%
6 786
 
4.5%
3 737
 
4.2%
Other Letter
ValueCountFrequency (%)
로 3
15.0%
번 3
15.0%
길 3
15.0%
골 2
10.0%
든 2
10.0%
루 2
10.0%
트 2
10.0%
김 1
 
5.0%
해 1
 
5.0%
대 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 1338
100.0%
Space Separator
ValueCountFrequency (%)
1338
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20075
99.9%
Hangul 20
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4873
24.3%
8 2749
13.7%
1 2293
11.4%
2 2177
10.8%
. 1338
 
6.7%
1338
 
6.7%
7 1188
 
5.9%
9 998
 
5.0%
4 802
 
4.0%
5 796
 
4.0%
Other values (2) 1523
 
7.6%
Hangul
ValueCountFrequency (%)
로 3
15.0%
번 3
15.0%
길 3
15.0%
골 2
10.0%
든 2
10.0%
루 2
10.0%
트 2
10.0%
김 1
 
5.0%
해 1
 
5.0%
대 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20075
99.9%
Hangul 20
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4873
24.3%
8 2749
13.7%
1 2293
11.4%
2 2177
10.8%
. 1338
 
6.7%
1338
 
6.7%
7 1188
 
5.9%
9 998
 
5.0%
4 802
 
4.0%
5 796
 
4.0%
Other values (2) 1523
 
7.6%
Hangul
ValueCountFrequency (%)
로 3
15.0%
번 3
15.0%
길 3
15.0%
골 2
10.0%
든 2
10.0%
루 2
10.0%
트 2
10.0%
김 1
 
5.0%
해 1
 
5.0%
대 1
 
5.0%

Interactions

2023-12-11T09:32:47.443142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:32:52.479098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준종수
기준1.0000.193
종수0.1931.000
2023-12-11T09:32:52.564920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준종수
기준1.0000.081
종수0.0811.000

Missing values

2023-12-11T09:32:47.554042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:32:47.667453image/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.
2023-12-11T09:32:47.745443image/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㈜씨앤엠055-330-5023경상남도 김해시 김해대로2635번길 29전동기및발전기제조업51979-08-1035.2314917000128.9135884000
12㈜한보메디팜055-345-5266경상남도 김해시 진례면 진례로371번길 71기타비알콜음료제조업51980-06-3035.2613951500128.7419743000
23아세아식품055-323-9910경상남도 김해시 생림면 장재로520번안길 8식품제조51980-07-1035.3233123000128.8473888000
34부산카세차장055-342-3377경상남도 김해시 생림면 장재로520번안길 8세차장51980-12-1235.3233123000128.8473888000
45㈜빙그레 김해공장055-340-2200경상남도 김해시 한림면 고모로 768낙농제품및아이스크림제조21981-06-1335.2904196200128.7820709000
56의료법인 숭인의료재단 김해복음병원055-330-8888경상남도 김해시 활천로 33종합병원51982-07-0735.2305897200128.8931667000
67㈜제이케이유화055-329-4445경상남도 김해시 김해대로2579번길 36윤활유및그리스제조업51984-04-1035.2317214700128.9106138000
78한성기업㈜김해공장055-333-4676경상남도 김해시 삼안로 51음식료품제조시설31984-06-2235.2331222500128.9172871000
89인제대학교055-320-3027경상남도 김해시 인제로 197대학교51985-01-1235.2528086200128.9005205000
910삼영산업㈜055-342-3030경상남도 김해시 진영읍 하계로138번길 51-62타일및유사비내화요업제품제조업51986-08-0135.2817645400128.7260449000
기준업체명전화번호도로명주소업종종수신고일자위도경도
13311332티엠시정공㈜055-314-0703경상남도 김해시 삼안로 71그외자동차용신품부품제조업52021-07-2635.2356109700128.9171723000
13321333주식회사 이디아이글로벌055-342-9966경상남도 김해시 진례면 고모로 142기타건축용플라스틱조립제품제조업52021-07-2635.2400445200128.7701924000
13331334장인자동차정비<NA>경상남도 김해시 관동동 582-2자동차세차업52021-07-2935.1799385500128.7938768000
13341335부엉이24시 셀프세차장<NA>경상남도 김해시 분성로 745자동차세차업52021-08-0435.2298904800128.9214692000
13351336사파이부분정비<NA>경상남도 김해시 인제로 121자동차세차업52021-07-3035.2395049400128.9040209000
13361337두성창호055-312-5989경상남도 김해시 김해대로 1706-15그 외 기타 유리제품제조업52021-08-0635.2694268900128.8563666000
13371338아람푸드<NA>경상남도 김해시 진례면 고모로442번길 26-44기타식사용가공처리조리식품제조업52021-08-1035.2611241300128.7792831000
13381339㈜상마055-338-4173경상남도 김해시 주촌면 골든루트로129번길 160그 외 자동차용 신품부품제조업52021-08-3035.2204764300128.8232932000
13391340대경기업㈜2공장055-346-5200경상남도 김해시 진례면 테크노밸리1로93번길 54탭,밸브및유사장치제조업52021-08-2535.2697143700128.7680446000
13401341㈜예림도장기055-331-1427경상남도 김해시 생림대로27번길 7동력식 수지공구 제조업52021-08-2635.2727445000128.8601058000