Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells62390
Missing cells (%)28.4%
Duplicate rows10
Duplicate rows (%)0.1%
Total size in memory1.8 MiB
Average record size in memory193.0 B

Variable types

Categorical2
Text11
Unsupported2
Numeric7

Dataset

Description대기 오염물질 배출시설 설치사업장 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=45XL63GROAYDU71Y71Z5218231&infSeq=1

Alerts

Dataset has 10 (0.1%) duplicate rowsDuplicates
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 7030 (70.3%) missing valuesMissing
소재지시설전화번호 has 3016 (30.2%) missing valuesMissing
소재지면적정보 has 10000 (100.0%) missing valuesMissing
도로명우편번호 has 5512 (55.1%) missing valuesMissing
소재지도로명주소 has 1134 (11.3%) missing valuesMissing
소재지우편번호 has 390 (3.9%) missing valuesMissing
WGS84위도 has 170 (1.7%) missing valuesMissing
WGS84경도 has 170 (1.7%) missing valuesMissing
업태구분명정보 has 4554 (45.5%) missing valuesMissing
X좌표값 has 2481 (24.8%) missing valuesMissing
Y좌표값 has 2481 (24.8%) missing valuesMissing
업종구분명정보 has 3230 (32.3%) missing valuesMissing
주생산품명정보 has 7413 (74.1%) missing valuesMissing
배출시설조업시간 has 2560 (25.6%) missing valuesMissing
배출시설연간가동일수 has 2189 (21.9%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 has 1288 (12.9%) zerosZeros
배출시설연간가동일수 has 1835 (18.4%) zerosZeros

Reproduction

Analysis started2023-12-10 21:11:25.556793
Analysis finished2023-12-10 21:11:27.824070
Duration2.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct32
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
화성시
1408 
김포시
1127 
안산시
998 
포천시
704 
평택시
564 
Other values (27)
5199 

Length

Max length4
Median length3
Mean length3.0374
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화성시
2nd row수원시
3rd row화성시
4th row안성시
5th row용인시

Common Values

ValueCountFrequency (%)
화성시 1408
14.1%
김포시 1127
11.3%
안산시 998
 
10.0%
포천시 704
 
7.0%
평택시 564
 
5.6%
용인시 550
 
5.5%
파주시 546
 
5.5%
광주시 545
 
5.5%
부천시 483
 
4.8%
시흥시 447
 
4.5%
Other values (22) 2628
26.3%

Length

2023-12-11T06:11:27.879289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 1408
14.1%
김포시 1127
11.3%
안산시 998
 
10.0%
포천시 704
 
7.0%
평택시 564
 
5.6%
용인시 550
 
5.5%
파주시 546
 
5.5%
광주시 545
 
5.5%
부천시 483
 
4.8%
시흥시 447
 
4.5%
Other values (22) 2628
26.3%
Distinct9312
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:11:28.117083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length7.0408
Min length1

Characters and Unicode

Total characters70408
Distinct characters797
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8731 ?
Unique (%)87.3%

Sample

1st row삼진비,엔,피(주)(폐업)
2nd row롯데쇼핑(주)롯데마트 영통점
3rd row(주)레이나
4th row진성기업
5th row한림제약(주)
ValueCountFrequency (%)
주식회사 192
 
1.8%
제2공장 29
 
0.3%
2공장 16
 
0.1%
농업회사법인 16
 
0.1%
14
 
0.1%
3공장 8
 
0.1%
주)이마트 8
 
0.1%
안성공장 7
 
0.1%
대성산업 6
 
0.1%
유한회사 6
 
0.1%
Other values (9581) 10452
97.2%
2023-12-11T06:11:28.557772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5623
 
8.0%
) 5344
 
7.6%
( 5339
 
7.6%
1982
 
2.8%
1564
 
2.2%
1543
 
2.2%
1427
 
2.0%
1054
 
1.5%
960
 
1.4%
931
 
1.3%
Other values (787) 44641
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57434
81.6%
Close Punctuation 5367
 
7.6%
Open Punctuation 5364
 
7.6%
Space Separator 757
 
1.1%
Uppercase Letter 714
 
1.0%
Decimal Number 335
 
0.5%
Other Symbol 199
 
0.3%
Other Punctuation 123
 
0.2%
Lowercase Letter 92
 
0.1%
Dash Punctuation 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5623
 
9.8%
1982
 
3.5%
1564
 
2.7%
1543
 
2.7%
1427
 
2.5%
1054
 
1.8%
960
 
1.7%
931
 
1.6%
926
 
1.6%
781
 
1.4%
Other values (721) 40643
70.8%
Uppercase Letter
ValueCountFrequency (%)
C 79
 
11.1%
S 76
 
10.6%
N 53
 
7.4%
E 48
 
6.7%
P 46
 
6.4%
K 44
 
6.2%
T 38
 
5.3%
I 35
 
4.9%
G 33
 
4.6%
B 29
 
4.1%
Other values (14) 233
32.6%
Lowercase Letter
ValueCountFrequency (%)
e 11
12.0%
r 11
12.0%
n 10
10.9%
u 9
9.8%
t 7
 
7.6%
o 7
 
7.6%
c 6
 
6.5%
m 4
 
4.3%
i 4
 
4.3%
a 4
 
4.3%
Other values (8) 19
20.7%
Decimal Number
ValueCountFrequency (%)
2 135
40.3%
1 101
30.1%
3 38
 
11.3%
5 15
 
4.5%
8 10
 
3.0%
0 9
 
2.7%
7 9
 
2.7%
4 7
 
2.1%
9 6
 
1.8%
6 5
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 71
57.7%
& 23
 
18.7%
, 14
 
11.4%
: 13
 
10.6%
· 2
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 5344
99.6%
] 23
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 5339
99.5%
[ 25
 
0.5%
Other Symbol
ValueCountFrequency (%)
198
99.5%
1
 
0.5%
Space Separator
ValueCountFrequency (%)
757
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57631
81.9%
Common 11970
 
17.0%
Latin 806
 
1.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5623
 
9.8%
1982
 
3.4%
1564
 
2.7%
1543
 
2.7%
1427
 
2.5%
1054
 
1.8%
960
 
1.7%
931
 
1.6%
926
 
1.6%
781
 
1.4%
Other values (721) 40840
70.9%
Latin
ValueCountFrequency (%)
C 79
 
9.8%
S 76
 
9.4%
N 53
 
6.6%
E 48
 
6.0%
P 46
 
5.7%
K 44
 
5.5%
T 38
 
4.7%
I 35
 
4.3%
G 33
 
4.1%
B 29
 
3.6%
Other values (32) 325
40.3%
Common
ValueCountFrequency (%)
) 5344
44.6%
( 5339
44.6%
757
 
6.3%
2 135
 
1.1%
1 101
 
0.8%
. 71
 
0.6%
3 38
 
0.3%
[ 25
 
0.2%
] 23
 
0.2%
& 23
 
0.2%
Other values (13) 114
 
1.0%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57433
81.6%
ASCII 12773
 
18.1%
None 200
 
0.3%
CJK 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5623
 
9.8%
1982
 
3.5%
1564
 
2.7%
1543
 
2.7%
1427
 
2.5%
1054
 
1.8%
960
 
1.7%
931
 
1.6%
926
 
1.6%
781
 
1.4%
Other values (720) 40642
70.8%
ASCII
ValueCountFrequency (%)
) 5344
41.8%
( 5339
41.8%
757
 
5.9%
2 135
 
1.1%
1 101
 
0.8%
C 79
 
0.6%
S 76
 
0.6%
. 71
 
0.6%
N 53
 
0.4%
E 48
 
0.4%
Other values (53) 770
 
6.0%
None
ValueCountFrequency (%)
198
99.0%
· 2
 
1.0%
CJK
ValueCountFrequency (%)
1
100.0%
Misc Symbols
ValueCountFrequency (%)
1
100.0%
Distinct6153
Distinct (%)61.8%
Missing51
Missing (%)0.5%
Memory size156.2 KiB
2023-12-11T06:11:28.857661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.2888733
Min length8

Characters and Unicode

Total characters82466
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

Unique3960 ?
Unique (%)39.8%

Sample

1st row20020304
2nd row20210823
3rd row20051005
4th row20020704
5th row19860226
ValueCountFrequency (%)
20180101 42
 
0.4%
20180510 28
 
0.3%
20180509 26
 
0.3%
20180511 22
 
0.2%
20200101 21
 
0.2%
20210101 20
 
0.2%
20001014 19
 
0.2%
19991111 17
 
0.2%
20190101 13
 
0.1%
20090319 12
 
0.1%
Other values (6143) 9729
97.8%
2023-12-11T06:11:29.290899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 25769
31.2%
2 16774
20.3%
1 15125
18.3%
9 4746
 
5.8%
3 3352
 
4.1%
8 3011
 
3.7%
- 2874
 
3.5%
7 2755
 
3.3%
6 2750
 
3.3%
4 2688
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79592
96.5%
Dash Punctuation 2874
 
3.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 25769
32.4%
2 16774
21.1%
1 15125
19.0%
9 4746
 
6.0%
3 3352
 
4.2%
8 3011
 
3.8%
7 2755
 
3.5%
6 2750
 
3.5%
4 2688
 
3.4%
5 2622
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 2874
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 82466
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 25769
31.2%
2 16774
20.3%
1 15125
18.3%
9 4746
 
5.8%
3 3352
 
4.1%
8 3011
 
3.7%
- 2874
 
3.5%
7 2755
 
3.3%
6 2750
 
3.3%
4 2688
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82466
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 25769
31.2%
2 16774
20.3%
1 15125
18.3%
9 4746
 
5.8%
3 3352
 
4.1%
8 3011
 
3.7%
- 2874
 
3.5%
7 2755
 
3.3%
6 2750
 
3.3%
4 2688
 
3.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태구분코드
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2819
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:11:29.407822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q311
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.3932405
Coefficient of variation (CV)0.69934901
Kurtosis-1.8524394
Mean6.2819
Median Absolute Deviation (MAD)3
Skewness0.059733976
Sum62819
Variance19.300562
MonotonicityNot monotonic
2023-12-11T06:11:29.531558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
11 4526
45.3%
2 1885
18.9%
1 1736
 
17.4%
4 1734
 
17.3%
5 117
 
1.2%
3 2
 
< 0.1%
ValueCountFrequency (%)
1 1736
 
17.4%
2 1885
18.9%
3 2
 
< 0.1%
4 1734
 
17.3%
5 117
 
1.2%
11 4526
45.3%
ValueCountFrequency (%)
11 4526
45.3%
5 117
 
1.2%
4 1734
 
17.3%
3 2
 
< 0.1%
2 1885
18.9%
1 1736
 
17.4%

영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업
6255 
폐업
1885 
폐쇄
1734 
제외사항
 
117
휴업
 
7

Length

Max length4
Median length2
Mean length2.0236
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업
3rd row폐쇄
4th row폐쇄
5th row영업

Common Values

ValueCountFrequency (%)
영업 6255
62.5%
폐업 1885
 
18.9%
폐쇄 1734
 
17.3%
제외사항 117
 
1.2%
휴업 7
 
0.1%
재개업 2
 
< 0.1%

Length

2023-12-11T06:11:29.660691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:29.770862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 6255
62.5%
폐업 1885
 
18.9%
폐쇄 1734
 
17.3%
제외사항 117
 
1.2%
휴업 7
 
0.1%
재개업 2
 
< 0.1%

폐업일자
Text

MISSING 

Distinct1889
Distinct (%)63.6%
Missing7030
Missing (%)70.3%
Memory size156.2 KiB
2023-12-11T06:11:30.023026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.1286195
Min length8

Characters and Unicode

Total characters24142
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

Unique1428 ?
Unique (%)48.1%

Sample

1st row20061218
2nd row20151012
3rd row20210811
4th row20090415
5th row20030110
ValueCountFrequency (%)
20151012 41
 
1.4%
20160929 36
 
1.2%
20200708 32
 
1.1%
20181114 29
 
1.0%
20120109 29
 
1.0%
2023-06-07 25
 
0.8%
20180420 20
 
0.7%
20210614 18
 
0.6%
2023-03-21 17
 
0.6%
20090824 17
 
0.6%
Other values (1879) 2706
91.1%
2023-12-11T06:11:30.482250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7960
33.0%
2 5925
24.5%
1 4072
16.9%
3 1064
 
4.4%
6 929
 
3.8%
9 851
 
3.5%
7 800
 
3.3%
8 758
 
3.1%
4 754
 
3.1%
5 647
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23760
98.4%
Dash Punctuation 382
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7960
33.5%
2 5925
24.9%
1 4072
17.1%
3 1064
 
4.5%
6 929
 
3.9%
9 851
 
3.6%
7 800
 
3.4%
8 758
 
3.2%
4 754
 
3.2%
5 647
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 382
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24142
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7960
33.0%
2 5925
24.5%
1 4072
16.9%
3 1064
 
4.4%
6 929
 
3.8%
9 851
 
3.5%
7 800
 
3.3%
8 758
 
3.1%
4 754
 
3.1%
5 647
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24142
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7960
33.0%
2 5925
24.5%
1 4072
16.9%
3 1064
 
4.4%
6 929
 
3.8%
9 851
 
3.5%
7 800
 
3.3%
8 758
 
3.1%
4 754
 
3.1%
5 647
 
2.7%
Distinct6843
Distinct (%)98.0%
Missing3016
Missing (%)30.2%
Memory size156.2 KiB
2023-12-11T06:11:30.731248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length10.607818
Min length1

Characters and Unicode

Total characters74085
Distinct characters17
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6707 ?
Unique (%)96.0%

Sample

1st row031355 1042
2nd row0312904000
3rd row031 352 6480
4th row031 6562072
5th row360541
ValueCountFrequency (%)
031 919
 
10.4%
032 143
 
1.6%
866 32
 
0.4%
863 19
 
0.2%
766 17
 
0.2%
031352 16
 
0.2%
02 15
 
0.2%
665 14
 
0.2%
943 13
 
0.1%
764 12
 
0.1%
Other values (7062) 7634
86.4%
2023-12-11T06:11:31.138501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 11621
15.7%
0 10838
14.6%
1 10586
14.3%
4 5306
7.2%
6 5224
7.1%
9 5172
7.0%
5 4956
6.7%
8 4940
6.7%
7 4762
6.4%
2 4727
6.4%
Other values (7) 5953
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68132
92.0%
Dash Punctuation 3983
 
5.4%
Space Separator 1956
 
2.6%
Other Punctuation 6
 
< 0.1%
Math Symbol 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 11621
17.1%
0 10838
15.9%
1 10586
15.5%
4 5306
7.8%
6 5224
7.7%
9 5172
7.6%
5 4956
7.3%
8 4940
7.3%
7 4762
7.0%
2 4727
6.9%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
. 2
33.3%
* 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 3983
100.0%
Space Separator
ValueCountFrequency (%)
1956
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 74085
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 11621
15.7%
0 10838
14.6%
1 10586
14.3%
4 5306
7.2%
6 5224
7.1%
9 5172
7.0%
5 4956
6.7%
8 4940
6.7%
7 4762
6.4%
2 4727
6.4%
Other values (7) 5953
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 11621
15.7%
0 10838
14.6%
1 10586
14.3%
4 5306
7.2%
6 5224
7.1%
9 5172
7.0%
5 4956
6.7%
8 4940
6.7%
7 4762
6.4%
2 4727
6.4%
Other values (7) 5953
8.0%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

도로명우편번호
Text

MISSING 

Distinct1573
Distinct (%)35.0%
Missing5512
Missing (%)55.1%
Memory size156.2 KiB
2023-12-11T06:11:31.533051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3495989
Min length5

Characters and Unicode

Total characters24009
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

Unique808 ?
Unique (%)18.0%

Sample

1st row16703
2nd row12073
3rd row15841
4th row421808
5th row11133
ValueCountFrequency (%)
425100 47
 
1.0%
10049 36
 
0.8%
18574 33
 
0.7%
425833 27
 
0.6%
10040 27
 
0.6%
11167 26
 
0.6%
18554 25
 
0.6%
18623 25
 
0.6%
18583 24
 
0.5%
10048 23
 
0.5%
Other values (1563) 4195
93.5%
2023-12-11T06:11:32.058464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5245
21.8%
4 3261
13.6%
8 2719
11.3%
5 2608
10.9%
0 2602
10.8%
2 1891
 
7.9%
7 1618
 
6.7%
3 1475
 
6.1%
6 1235
 
5.1%
9 1164
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23818
99.2%
Dash Punctuation 191
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5245
22.0%
4 3261
13.7%
8 2719
11.4%
5 2608
10.9%
0 2602
10.9%
2 1891
 
7.9%
7 1618
 
6.8%
3 1475
 
6.2%
6 1235
 
5.2%
9 1164
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24009
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5245
21.8%
4 3261
13.6%
8 2719
11.3%
5 2608
10.9%
0 2602
10.8%
2 1891
 
7.9%
7 1618
 
6.7%
3 1475
 
6.1%
6 1235
 
5.1%
9 1164
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24009
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5245
21.8%
4 3261
13.6%
8 2719
11.3%
5 2608
10.9%
0 2602
10.8%
2 1891
 
7.9%
7 1618
 
6.7%
3 1475
 
6.1%
6 1235
 
5.1%
9 1164
 
4.8%
Distinct8319
Distinct (%)93.8%
Missing1134
Missing (%)11.3%
Memory size156.2 KiB
2023-12-11T06:11:32.418223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length59
Mean length25.933454
Min length14

Characters and Unicode

Total characters229926
Distinct characters601
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7889 ?
Unique (%)89.0%

Sample

1st row경기도 수원시 영통구 봉영로 1579, 롯데마트 영통점 (영통동)
2nd row경기도 화성시 향남읍 동오1길 47
3rd row경기도 용인시 처인구 영문로 2-27 (유방동)
4th row경기도 광주시 도척면 다람로 154 (진우리)
5th row경기도 남양주시 진접읍 양진로926번길 24-14
ValueCountFrequency (%)
경기도 8864
 
18.1%
화성시 1273
 
2.6%
김포시 987
 
2.0%
안산시 950
 
1.9%
단원구 880
 
1.8%
포천시 656
 
1.3%
평택시 515
 
1.0%
광주시 511
 
1.0%
파주시 470
 
1.0%
용인시 466
 
0.9%
Other values (8742) 33488
68.3%
2023-12-11T06:11:32.915780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40623
 
17.7%
9674
 
4.2%
9588
 
4.2%
9258
 
4.0%
9092
 
4.0%
1 8367
 
3.6%
7331
 
3.2%
2 5986
 
2.6%
5005
 
2.2%
( 4757
 
2.1%
Other values (591) 120245
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132410
57.6%
Decimal Number 41411
 
18.0%
Space Separator 40623
 
17.7%
Open Punctuation 4758
 
2.1%
Close Punctuation 4757
 
2.1%
Dash Punctuation 3860
 
1.7%
Other Punctuation 1787
 
0.8%
Uppercase Letter 281
 
0.1%
Lowercase Letter 24
 
< 0.1%
Math Symbol 11
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9674
 
7.3%
9588
 
7.2%
9258
 
7.0%
9092
 
6.9%
7331
 
5.5%
5005
 
3.8%
4425
 
3.3%
3478
 
2.6%
3360
 
2.5%
2656
 
2.0%
Other values (528) 68543
51.8%
Uppercase Letter
ValueCountFrequency (%)
B 84
29.9%
L 52
18.5%
C 29
 
10.3%
A 26
 
9.3%
S 13
 
4.6%
K 12
 
4.3%
D 9
 
3.2%
T 8
 
2.8%
M 7
 
2.5%
E 7
 
2.5%
Other values (12) 34
12.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
25.0%
r 3
12.5%
i 2
 
8.3%
h 2
 
8.3%
c 1
 
4.2%
v 1
 
4.2%
b 1
 
4.2%
l 1
 
4.2%
k 1
 
4.2%
t 1
 
4.2%
Other values (5) 5
20.8%
Decimal Number
ValueCountFrequency (%)
1 8367
20.2%
2 5986
14.5%
3 4663
11.3%
4 3989
9.6%
5 3582
8.6%
6 3265
 
7.9%
7 3107
 
7.5%
0 3027
 
7.3%
8 2830
 
6.8%
9 2595
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 1751
98.0%
. 31
 
1.7%
& 3
 
0.2%
/ 1
 
0.1%
* 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 4757
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4756
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
40623
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3860
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132411
57.6%
Common 97209
42.3%
Latin 306
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9674
 
7.3%
9588
 
7.2%
9258
 
7.0%
9092
 
6.9%
7331
 
5.5%
5005
 
3.8%
4425
 
3.3%
3478
 
2.6%
3360
 
2.5%
2656
 
2.0%
Other values (529) 68544
51.8%
Latin
ValueCountFrequency (%)
B 84
27.5%
L 52
17.0%
C 29
 
9.5%
A 26
 
8.5%
S 13
 
4.2%
K 12
 
3.9%
D 9
 
2.9%
T 8
 
2.6%
M 7
 
2.3%
E 7
 
2.3%
Other values (28) 59
19.3%
Common
ValueCountFrequency (%)
40623
41.8%
1 8367
 
8.6%
2 5986
 
6.2%
( 4757
 
4.9%
) 4756
 
4.9%
3 4663
 
4.8%
4 3989
 
4.1%
- 3860
 
4.0%
5 3582
 
3.7%
6 3265
 
3.4%
Other values (14) 13361
 
13.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132410
57.6%
ASCII 97512
42.4%
CJK Compat 2
 
< 0.1%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40623
41.7%
1 8367
 
8.6%
2 5986
 
6.1%
( 4757
 
4.9%
) 4756
 
4.9%
3 4663
 
4.8%
4 3989
 
4.1%
- 3860
 
4.0%
5 3582
 
3.7%
6 3265
 
3.3%
Other values (49) 13664
 
14.0%
Hangul
ValueCountFrequency (%)
9674
 
7.3%
9588
 
7.2%
9258
 
7.0%
9092
 
6.9%
7331
 
5.5%
5005
 
3.8%
4425
 
3.3%
3478
 
2.6%
3360
 
2.5%
2656
 
2.0%
Other values (528) 68543
51.8%
None
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
CJK Compat
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct9649
Distinct (%)96.6%
Missing9
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T06:11:33.241321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length73
Mean length23.569012
Min length5

Characters and Unicode

Total characters235478
Distinct characters528
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9346 ?
Unique (%)93.5%

Sample

1st row경기도 화성시 서신면 광평리 221-54,59
2nd row경기도 수원시 영통구 영통동 960-1 롯데마트 영통점
3rd row경기도 화성시 향남읍 동오리 474-2
4th row경기도 안성시 원곡면 반제리 82-1,441-15
5th row경기도 용인시 처인구 유방동 210-1번지
ValueCountFrequency (%)
경기도 9976
 
19.5%
화성시 1405
 
2.7%
김포시 1126
 
2.2%
포천시 703
 
1.4%
평택시 562
 
1.1%
용인시 547
 
1.1%
파주시 546
 
1.1%
광주시 545
 
1.1%
안산시 506
 
1.0%
부천시 476
 
0.9%
Other values (10496) 34757
68.0%
2023-12-11T06:11:33.682389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47538
20.2%
10911
 
4.6%
10569
 
4.5%
10161
 
4.3%
10036
 
4.3%
- 8839
 
3.8%
1 8830
 
3.7%
6172
 
2.6%
2 5989
 
2.5%
3 5207
 
2.2%
Other values (518) 111226
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130998
55.6%
Space Separator 47538
 
20.2%
Decimal Number 45190
 
19.2%
Dash Punctuation 8839
 
3.8%
Other Punctuation 1366
 
0.6%
Uppercase Letter 538
 
0.2%
Close Punctuation 486
 
0.2%
Open Punctuation 485
 
0.2%
Lowercase Letter 30
 
< 0.1%
Math Symbol 5
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10911
 
8.3%
10569
 
8.1%
10161
 
7.8%
10036
 
7.7%
6172
 
4.7%
5186
 
4.0%
4798
 
3.7%
4371
 
3.3%
3865
 
3.0%
2678
 
2.0%
Other values (457) 62251
47.5%
Uppercase Letter
ValueCountFrequency (%)
B 212
39.4%
L 178
33.1%
C 31
 
5.8%
A 25
 
4.6%
T 16
 
3.0%
S 12
 
2.2%
K 11
 
2.0%
O 10
 
1.9%
D 9
 
1.7%
M 5
 
0.9%
Other values (12) 29
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 6
20.0%
r 3
10.0%
c 2
 
6.7%
o 2
 
6.7%
i 2
 
6.7%
a 2
 
6.7%
b 2
 
6.7%
k 2
 
6.7%
h 2
 
6.7%
v 1
 
3.3%
Other values (6) 6
20.0%
Decimal Number
ValueCountFrequency (%)
1 8830
19.5%
2 5989
13.3%
3 5207
11.5%
4 4667
10.3%
5 4068
9.0%
6 4033
8.9%
7 3512
 
7.8%
0 3212
 
7.1%
8 3030
 
6.7%
9 2642
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 1329
97.3%
. 28
 
2.0%
/ 5
 
0.4%
& 3
 
0.2%
: 1
 
0.1%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
47538
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8839
100.0%
Close Punctuation
ValueCountFrequency (%)
) 486
100.0%
Open Punctuation
ValueCountFrequency (%)
( 485
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130999
55.6%
Common 103910
44.1%
Latin 569
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10911
 
8.3%
10569
 
8.1%
10161
 
7.8%
10036
 
7.7%
6172
 
4.7%
5186
 
4.0%
4798
 
3.7%
4371
 
3.3%
3865
 
3.0%
2678
 
2.0%
Other values (458) 62252
47.5%
Latin
ValueCountFrequency (%)
B 212
37.3%
L 178
31.3%
C 31
 
5.4%
A 25
 
4.4%
T 16
 
2.8%
S 12
 
2.1%
K 11
 
1.9%
O 10
 
1.8%
D 9
 
1.6%
e 6
 
1.1%
Other values (29) 59
 
10.4%
Common
ValueCountFrequency (%)
47538
45.7%
- 8839
 
8.5%
1 8830
 
8.5%
2 5989
 
5.8%
3 5207
 
5.0%
4 4667
 
4.5%
5 4068
 
3.9%
6 4033
 
3.9%
7 3512
 
3.4%
0 3212
 
3.1%
Other values (11) 8015
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130998
55.6%
ASCII 104477
44.4%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47538
45.5%
- 8839
 
8.5%
1 8830
 
8.5%
2 5989
 
5.7%
3 5207
 
5.0%
4 4667
 
4.5%
5 4068
 
3.9%
6 4033
 
3.9%
7 3512
 
3.4%
0 3212
 
3.1%
Other values (48) 8582
 
8.2%
Hangul
ValueCountFrequency (%)
10911
 
8.3%
10569
 
8.1%
10161
 
7.8%
10036
 
7.7%
6172
 
4.7%
5186
 
4.0%
4798
 
3.7%
4371
 
3.3%
3865
 
3.0%
2678
 
2.0%
Other values (457) 62251
47.5%
Number Forms
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
1
100.0%
CJK Compat
ValueCountFrequency (%)
1
100.0%

소재지우편번호
Text

MISSING 

Distinct2022
Distinct (%)21.0%
Missing390
Missing (%)3.9%
Memory size156.2 KiB
2023-12-11T06:11:34.015092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1166493
Min length5

Characters and Unicode

Total characters49171
Distinct characters15
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

Unique892 ?
Unique (%)9.3%

Sample

1st row445881
2nd row16703
3rd row18589
4th row17557
5th row449080
ValueCountFrequency (%)
10049 87
 
0.9%
11167 84
 
0.9%
10040 65
 
0.7%
10038 61
 
0.6%
18574 60
 
0.6%
10029 59
 
0.6%
15429 57
 
0.6%
15434 57
 
0.6%
10011 56
 
0.6%
18623 50
 
0.5%
Other values (2012) 8974
93.4%
2023-12-11T06:11:34.498438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13172
26.8%
0 5924
12.0%
4 5369
10.9%
5 4992
 
10.2%
8 4483
 
9.1%
2 3859
 
7.8%
7 3476
 
7.1%
3 2883
 
5.9%
6 2638
 
5.4%
9 2347
 
4.8%
Other values (5) 28
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49143
99.9%
Lowercase Letter 16
 
< 0.1%
Space Separator 8
 
< 0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13172
26.8%
0 5924
12.1%
4 5369
10.9%
5 4992
 
10.2%
8 4483
 
9.1%
2 3859
 
7.9%
7 3476
 
7.1%
3 2883
 
5.9%
6 2638
 
5.4%
9 2347
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
l 8
50.0%
n 4
25.0%
u 4
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49155
> 99.9%
Latin 16
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13172
26.8%
0 5924
12.1%
4 5369
10.9%
5 4992
 
10.2%
8 4483
 
9.1%
2 3859
 
7.9%
7 3476
 
7.1%
3 2883
 
5.9%
6 2638
 
5.4%
9 2347
 
4.8%
Other values (2) 12
 
< 0.1%
Latin
ValueCountFrequency (%)
l 8
50.0%
n 4
25.0%
u 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49171
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13172
26.8%
0 5924
12.0%
4 5369
10.9%
5 4992
 
10.2%
8 4483
 
9.1%
2 3859
 
7.8%
7 3476
 
7.1%
3 2883
 
5.9%
6 2638
 
5.4%
9 2347
 
4.8%
Other values (5) 28
 
0.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct9026
Distinct (%)91.8%
Missing170
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean37.426986
Minimum35.415386
Maximum38.203903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:11:34.632977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.415386
5-th percentile37.035671
Q137.200782
median37.344183
Q337.680266
95-th percentile37.866416
Maximum38.203903
Range2.788517
Interquartile range (IQR)0.47948403

Descriptive statistics

Standard deviation0.27630368
Coefficient of variation (CV)0.007382472
Kurtosis-0.81828072
Mean37.426986
Median Absolute Deviation (MAD)0.21225151
Skewness0.24337742
Sum367907.27
Variance0.076343722
MonotonicityNot monotonic
2023-12-11T06:11:34.780653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3487009 44
 
0.4%
37.3097957 31
 
0.3%
37.3125061 28
 
0.3%
37.3335168 23
 
0.2%
37.6210516 12
 
0.1%
37.3164798 11
 
0.1%
37.3201262611 10
 
0.1%
37.0844123125 10
 
0.1%
37.3179478 9
 
0.1%
37.4383609 9
 
0.1%
Other values (9016) 9643
96.4%
(Missing) 170
 
1.7%
ValueCountFrequency (%)
35.415386 1
< 0.1%
36.9201188 1
< 0.1%
36.9230323 1
< 0.1%
36.9290085 1
< 0.1%
36.929396231 1
< 0.1%
36.9318533775 1
< 0.1%
36.933366 1
< 0.1%
36.9334684 1
< 0.1%
36.9350292 1
< 0.1%
36.9357792 1
< 0.1%
ValueCountFrequency (%)
38.203903 1
< 0.1%
38.1557890762 1
< 0.1%
38.1369732 1
< 0.1%
38.1158069399 1
< 0.1%
38.1019179 1
< 0.1%
38.0987544 1
< 0.1%
38.0948362 1
< 0.1%
38.0748641 1
< 0.1%
38.0725371 1
< 0.1%
38.0719757 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct9029
Distinct (%)91.9%
Missing170
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean126.96954
Minimum126.52556
Maximum129.14783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:11:34.947528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.52556
5-th percentile126.58266
Q1126.77331
median126.93856
Q3127.18057
95-th percentile127.42694
Maximum129.14783
Range2.6222704
Interquartile range (IQR)0.40726257

Descriptive statistics

Standard deviation0.26074064
Coefficient of variation (CV)0.0020535684
Kurtosis-0.015945298
Mean126.96954
Median Absolute Deviation (MAD)0.18965372
Skewness0.52035947
Sum1248110.6
Variance0.067985683
MonotonicityNot monotonic
2023-12-11T06:11:35.145944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7021198 44
 
0.4%
126.7945922 31
 
0.3%
126.7088971 28
 
0.3%
126.7121326 23
 
0.2%
126.6207286 12
 
0.1%
126.7887188 11
 
0.1%
126.8980854718 10
 
0.1%
126.7904132393 10
 
0.1%
126.7517228 9
 
0.1%
127.1778436 9
 
0.1%
Other values (9019) 9643
96.4%
(Missing) 170
 
1.7%
ValueCountFrequency (%)
126.5255574103 1
< 0.1%
126.5368659 1
< 0.1%
126.5380933 1
< 0.1%
126.538831358 1
< 0.1%
126.5394509 1
< 0.1%
126.5405702 1
< 0.1%
126.5412863 1
< 0.1%
126.5414383203 1
< 0.1%
126.5416223 1
< 0.1%
126.5424424702 1
< 0.1%
ValueCountFrequency (%)
129.1478278 1
< 0.1%
127.7704801 1
< 0.1%
127.7501237 1
< 0.1%
127.7344869 1
< 0.1%
127.7197991 1
< 0.1%
127.717772 1
< 0.1%
127.7169963747 1
< 0.1%
127.7162938 1
< 0.1%
127.7160177 1
< 0.1%
127.7159877 1
< 0.1%

업태구분명정보
Text

MISSING 

Distinct766
Distinct (%)14.1%
Missing4554
Missing (%)45.5%
Memory size156.2 KiB
2023-12-11T06:11:35.499315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length12.533052
Min length2

Characters and Unicode

Total characters68255
Distinct characters355
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique304 ?
Unique (%)5.6%

Sample

1st row대형 종합 소매업
2nd row의료용품 및 기타 의약관련제품 제조업
3rd row골판지, 종이용기 및 기타 종이제품 제조업
4th row동물용 사료 및 조제식품 제조업
5th row합성수지 및 기타 플라스틱물질 제조업
ValueCountFrequency (%)
제조업 3321
 
17.7%
기타 1770
 
9.4%
1739
 
9.3%
목재가구 547
 
2.9%
자동차 449
 
2.4%
수리업 409
 
2.2%
플라스틱 356
 
1.9%
그외 327
 
1.7%
종합 303
 
1.6%
처리업 275
 
1.5%
Other values (909) 9238
49.3%
2023-12-11T06:11:35.957199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13349
19.6%
5467
 
8.0%
4786
 
7.0%
3839
 
5.6%
2867
 
4.2%
1907
 
2.8%
1848
 
2.7%
1516
 
2.2%
1297
 
1.9%
1097
 
1.6%
Other values (345) 30282
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54373
79.7%
Space Separator 13349
 
19.6%
Other Punctuation 519
 
0.8%
Decimal Number 12
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5467
 
10.1%
4786
 
8.8%
3839
 
7.1%
2867
 
5.3%
1907
 
3.5%
1848
 
3.4%
1516
 
2.8%
1297
 
2.4%
1097
 
2.0%
1057
 
1.9%
Other values (338) 28692
52.8%
Other Punctuation
ValueCountFrequency (%)
, 488
94.0%
· 29
 
5.6%
; 2
 
0.4%
Space Separator
ValueCountFrequency (%)
13349
100.0%
Decimal Number
ValueCountFrequency (%)
1 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54373
79.7%
Common 13882
 
20.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5467
 
10.1%
4786
 
8.8%
3839
 
7.1%
2867
 
5.3%
1907
 
3.5%
1848
 
3.4%
1516
 
2.8%
1297
 
2.4%
1097
 
2.0%
1057
 
1.9%
Other values (338) 28692
52.8%
Common
ValueCountFrequency (%)
13349
96.2%
, 488
 
3.5%
· 29
 
0.2%
1 12
 
0.1%
; 2
 
< 0.1%
( 1
 
< 0.1%
) 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54371
79.7%
ASCII 13853
 
20.3%
None 29
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13349
96.4%
, 488
 
3.5%
1 12
 
0.1%
; 2
 
< 0.1%
( 1
 
< 0.1%
) 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
5467
 
10.1%
4786
 
8.8%
3839
 
7.1%
2867
 
5.3%
1907
 
3.5%
1848
 
3.4%
1516
 
2.8%
1297
 
2.4%
1097
 
2.0%
1057
 
1.9%
Other values (337) 28690
52.8%
None
ValueCountFrequency (%)
· 29
100.0%
Compat Jamo
ValueCountFrequency (%)
2
100.0%

X좌표값
Real number (ℝ)

MISSING 

Distinct6936
Distinct (%)92.2%
Missing2481
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean196829.33
Minimum158112.41
Maximum268158.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:11:36.110492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158112.41
5-th percentile162687.16
Q1179745.47
median192244.54
Q3216091.75
95-th percentile238935.36
Maximum268158.57
Range110046.16
Interquartile range (IQR)36346.278

Descriptive statistics

Standard deviation23585.282
Coefficient of variation (CV)0.11982606
Kurtosis-0.44583273
Mean196829.33
Median Absolute Deviation (MAD)16181.692
Skewness0.50217146
Sum1.4799597 × 109
Variance5.5626555 × 108
MonotonicityNot monotonic
2023-12-11T06:11:36.457756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
181352.564694052 13
 
0.1%
181206.153928783 8
 
0.1%
190884.404065906 8
 
0.1%
180809.603999102 7
 
0.1%
180144.646501726 6
 
0.1%
213167.148640679 6
 
0.1%
215673.83296818 6
 
0.1%
181256.340714328 6
 
0.1%
177926.844767995 6
 
0.1%
181329.172462591 5
 
0.1%
Other values (6926) 7448
74.5%
(Missing) 2481
 
24.8%
ValueCountFrequency (%)
158112.412189481 1
< 0.1%
159101.857285087 1
< 0.1%
159255.931633864 1
< 0.1%
159407.559499962 1
< 0.1%
159471.553745178 1
< 0.1%
159488.065587587 1
< 0.1%
159499.689597668 1
< 0.1%
159590.718956577 1
< 0.1%
159746.584687554 1
< 0.1%
159785.598847558 1
< 0.1%
ValueCountFrequency (%)
268158.571546823 1
< 0.1%
266328.573398807 1
< 0.1%
265018.580751058 1
< 0.1%
263778.896782643 1
< 0.1%
263610.89087378 1
< 0.1%
263541.976213524 1
< 0.1%
263449.536415277 2
< 0.1%
263438.648504544 1
< 0.1%
263396.210882482 1
< 0.1%
263328.156802574 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct6936
Distinct (%)92.2%
Missing2481
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean437820.8
Minimum379878.19
Maximum522343.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:11:36.582237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum379878.19
5-th percentile393002.09
Q1412272.16
median428995.04
Q3465626.22
95-th percentile484983.27
Maximum522343.01
Range142464.81
Interquartile range (IQR)53354.059

Descriptive statistics

Standard deviation30768.282
Coefficient of variation (CV)0.070275971
Kurtosis-1.1738498
Mean437820.8
Median Absolute Deviation (MAD)26869.054
Skewness0.1694927
Sum3.2919746 × 109
Variance9.4668716 × 108
MonotonicityNot monotonic
2023-12-11T06:11:36.735260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
424299.064075279 13
 
0.1%
423862.05235541 8
 
0.1%
398084.627321697 8
 
0.1%
445851.572893362 7
 
0.1%
424032.027166542 6
 
0.1%
422655.627741673 6
 
0.1%
437380.148223502 6
 
0.1%
422235.769609909 6
 
0.1%
456335.880728107 6
 
0.1%
456310.409745542 5
 
0.1%
Other values (6926) 7448
74.5%
(Missing) 2481
 
24.8%
ValueCountFrequency (%)
379878.191357475 1
< 0.1%
380199.086781197 1
< 0.1%
380860.917705026 1
< 0.1%
380903.845304368 1
< 0.1%
381171.345421046 1
< 0.1%
381422.386686377 1
< 0.1%
381602.0 1
< 0.1%
381633.812364152 1
< 0.1%
381656.178616436 1
< 0.1%
382193.807451075 1
< 0.1%
ValueCountFrequency (%)
522343.005478386 1
< 0.1%
517013.460337588 1
< 0.1%
512584.560940792 1
< 0.1%
511060.279507272 1
< 0.1%
510705.21294203 1
< 0.1%
510251.889486192 1
< 0.1%
507808.843304517 1
< 0.1%
507682.238642771 1
< 0.1%
506855.929080614 1
< 0.1%
506438.10485877 1
< 0.1%

업종구분명정보
Text

MISSING 

Distinct838
Distinct (%)12.4%
Missing3230
Missing (%)32.3%
Memory size156.2 KiB
2023-12-11T06:11:36.986711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length12.513146
Min length2

Characters and Unicode

Total characters84714
Distinct characters363
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique309 ?
Unique (%)4.6%

Sample

1st row대형 종합 소매업
2nd row의료용품 및 기타 의약관련제품 제조업
3rd row골판지, 종이용기 및 기타 종이제품 제조업
4th row사료 제조업
5th row동물용 사료 및 조제식품 제조업
ValueCountFrequency (%)
제조업 4133
 
17.7%
2242
 
9.6%
기타 2178
 
9.3%
목재가구 568
 
2.4%
자동차 482
 
2.1%
그외 460
 
2.0%
수리업 423
 
1.8%
플라스틱 386
 
1.7%
종합 313
 
1.3%
처리업 304
 
1.3%
Other values (970) 11867
50.8%
2023-12-11T06:11:37.347400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16651
19.7%
6796
 
8.0%
5972
 
7.0%
4781
 
5.6%
3532
 
4.2%
2351
 
2.8%
2321
 
2.7%
1891
 
2.2%
1563
 
1.8%
1299
 
1.5%
Other values (353) 37557
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67361
79.5%
Space Separator 16651
 
19.7%
Other Punctuation 676
 
0.8%
Decimal Number 24
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6796
 
10.1%
5972
 
8.9%
4781
 
7.1%
3532
 
5.2%
2351
 
3.5%
2321
 
3.4%
1891
 
2.8%
1563
 
2.3%
1299
 
1.9%
1126
 
1.7%
Other values (346) 35729
53.0%
Other Punctuation
ValueCountFrequency (%)
, 638
94.4%
· 31
 
4.6%
; 7
 
1.0%
Space Separator
ValueCountFrequency (%)
16651
100.0%
Decimal Number
ValueCountFrequency (%)
1 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67361
79.5%
Common 17353
 
20.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6796
 
10.1%
5972
 
8.9%
4781
 
7.1%
3532
 
5.2%
2351
 
3.5%
2321
 
3.4%
1891
 
2.8%
1563
 
2.3%
1299
 
1.9%
1126
 
1.7%
Other values (346) 35729
53.0%
Common
ValueCountFrequency (%)
16651
96.0%
, 638
 
3.7%
· 31
 
0.2%
1 24
 
0.1%
; 7
 
< 0.1%
( 1
 
< 0.1%
) 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67359
79.5%
ASCII 17322
 
20.4%
None 31
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16651
96.1%
, 638
 
3.7%
1 24
 
0.1%
; 7
 
< 0.1%
( 1
 
< 0.1%
) 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
6796
 
10.1%
5972
 
8.9%
4781
 
7.1%
3532
 
5.2%
2351
 
3.5%
2321
 
3.4%
1891
 
2.8%
1563
 
2.3%
1299
 
1.9%
1126
 
1.7%
Other values (345) 35727
53.0%
None
ValueCountFrequency (%)
· 31
100.0%
Compat Jamo
ValueCountFrequency (%)
2
100.0%

주생산품명정보
Text

MISSING 

Distinct1662
Distinct (%)64.2%
Missing7413
Missing (%)74.1%
Memory size156.2 KiB
2023-12-11T06:11:37.614186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length5.574024
Min length1

Characters and Unicode

Total characters14420
Distinct characters618
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

Unique1401 ?
Unique (%)54.2%

Sample

1st row자동차수리
2nd row가공목재(몰딩재)
3rd row송풍기
4th row의약품
5th row전기모터,전동기제조
ValueCountFrequency (%)
가구 74
 
2.3%
목재가구 65
 
2.1%
자동차 38
 
1.2%
34
 
1.1%
전자부품 31
 
1.0%
플라스틱 30
 
1.0%
자동차정비 30
 
1.0%
부품 29
 
0.9%
인테리어가구 23
 
0.7%
레미콘 22
 
0.7%
Other values (1740) 2777
88.1%
2023-12-11T06:11:38.011415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
566
 
3.9%
479
 
3.3%
390
 
2.7%
327
 
2.3%
315
 
2.2%
294
 
2.0%
, 289
 
2.0%
289
 
2.0%
278
 
1.9%
274
 
1.9%
Other values (608) 10919
75.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12797
88.7%
Space Separator 566
 
3.9%
Uppercase Letter 377
 
2.6%
Other Punctuation 328
 
2.3%
Lowercase Letter 102
 
0.7%
Close Punctuation 86
 
0.6%
Open Punctuation 86
 
0.6%
Decimal Number 64
 
0.4%
Dash Punctuation 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
479
 
3.7%
390
 
3.0%
327
 
2.6%
315
 
2.5%
294
 
2.3%
289
 
2.3%
278
 
2.2%
274
 
2.1%
244
 
1.9%
216
 
1.7%
Other values (544) 9691
75.7%
Uppercase Letter
ValueCountFrequency (%)
P 76
20.2%
E 44
11.7%
C 37
9.8%
S 24
 
6.4%
V 23
 
6.1%
L 20
 
5.3%
D 20
 
5.3%
T 19
 
5.0%
B 17
 
4.5%
A 15
 
4.0%
Other values (13) 82
21.8%
Lowercase Letter
ValueCountFrequency (%)
e 14
13.7%
r 11
10.8%
t 10
9.8%
a 9
 
8.8%
p 8
 
7.8%
i 7
 
6.9%
c 6
 
5.9%
h 5
 
4.9%
s 4
 
3.9%
o 4
 
3.9%
Other values (12) 24
23.5%
Decimal Number
ValueCountFrequency (%)
0 23
35.9%
1 12
18.8%
2 10
15.6%
3 6
 
9.4%
6 3
 
4.7%
9 3
 
4.7%
5 3
 
4.7%
4 2
 
3.1%
7 1
 
1.6%
8 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 289
88.1%
. 37
 
11.3%
/ 2
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 85
98.8%
] 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 85
98.8%
[ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
566
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12797
88.7%
Common 1144
 
7.9%
Latin 479
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
479
 
3.7%
390
 
3.0%
327
 
2.6%
315
 
2.5%
294
 
2.3%
289
 
2.3%
278
 
2.2%
274
 
2.1%
244
 
1.9%
216
 
1.7%
Other values (544) 9691
75.7%
Latin
ValueCountFrequency (%)
P 76
15.9%
E 44
 
9.2%
C 37
 
7.7%
S 24
 
5.0%
V 23
 
4.8%
L 20
 
4.2%
D 20
 
4.2%
T 19
 
4.0%
B 17
 
3.5%
A 15
 
3.1%
Other values (35) 184
38.4%
Common
ValueCountFrequency (%)
566
49.5%
, 289
25.3%
) 85
 
7.4%
( 85
 
7.4%
. 37
 
3.2%
0 23
 
2.0%
- 14
 
1.2%
1 12
 
1.0%
2 10
 
0.9%
3 6
 
0.5%
Other values (9) 17
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12796
88.7%
ASCII 1623
 
11.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
566
34.9%
, 289
17.8%
) 85
 
5.2%
( 85
 
5.2%
P 76
 
4.7%
E 44
 
2.7%
C 37
 
2.3%
. 37
 
2.3%
S 24
 
1.5%
V 23
 
1.4%
Other values (54) 357
22.0%
Hangul
ValueCountFrequency (%)
479
 
3.7%
390
 
3.0%
327
 
2.6%
315
 
2.5%
294
 
2.3%
289
 
2.3%
278
 
2.2%
274
 
2.1%
244
 
1.9%
216
 
1.7%
Other values (543) 9690
75.7%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

배출시설조업시간
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)0.5%
Missing2560
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean7.3721664
Minimum0
Maximum300
Zeros1288
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:11:38.139852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median8
Q38
95-th percentile16
Maximum300
Range300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.9761522
Coefficient of variation (CV)0.81063719
Kurtosis773.65668
Mean7.3721664
Median Absolute Deviation (MAD)0
Skewness16.473713
Sum54848.918
Variance35.714396
MonotonicityNot monotonic
2023-12-11T06:11:38.251074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
8.0 4916
49.2%
0.0 1288
 
12.9%
24.0 307
 
3.1%
10.0 177
 
1.8%
4.0 145
 
1.5%
6.0 122
 
1.2%
12.0 101
 
1.0%
7.0 76
 
0.8%
3.0 56
 
0.6%
16.0 41
 
0.4%
Other values (27) 211
 
2.1%
(Missing) 2560
25.6%
ValueCountFrequency (%)
0.0 1288
12.9%
1.0 14
 
0.1%
2.0 31
 
0.3%
2.4 1
 
< 0.1%
2.5 1
 
< 0.1%
3.0 56
 
0.6%
3.3 1
 
< 0.1%
3.468 1
 
< 0.1%
4.0 145
 
1.5%
5.0 37
 
0.4%
ValueCountFrequency (%)
300.0 1
 
< 0.1%
41.0 1
 
< 0.1%
30.0 1
 
< 0.1%
25.0 1
 
< 0.1%
24.0 307
3.1%
22.0 6
 
0.1%
21.0 4
 
< 0.1%
20.0 34
 
0.3%
19.0 2
 
< 0.1%
18.0 6
 
0.1%

배출시설연간가동일수
Real number (ℝ)

MISSING  ZEROS 

Distinct99
Distinct (%)1.3%
Missing2189
Missing (%)21.9%
Infinite0
Infinite (%)0.0%
Mean224.19165
Minimum0
Maximum652
Zeros1835
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:11:38.368474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1150
median300
Q3300
95-th percentile300
Maximum652
Range652
Interquartile range (IQR)150

Descriptive statistics

Standard deviation128.58133
Coefficient of variation (CV)0.5735331
Kurtosis-0.65814109
Mean224.19165
Median Absolute Deviation (MAD)0
Skewness-1.1052412
Sum1751161
Variance16533.159
MonotonicityNot monotonic
2023-12-11T06:11:38.485849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300 5175
51.7%
0 1835
 
18.4%
240 180
 
1.8%
365 102
 
1.0%
264 64
 
0.6%
360 42
 
0.4%
250 38
 
0.4%
180 25
 
0.2%
260 24
 
0.2%
150 22
 
0.2%
Other values (89) 304
 
3.0%
(Missing) 2189
21.9%
ValueCountFrequency (%)
0 1835
18.4%
3 1
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
8 12
 
0.1%
12 4
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
20 1
 
< 0.1%
22 1
 
< 0.1%
ValueCountFrequency (%)
652 1
 
< 0.1%
365 102
1.0%
364 1
 
< 0.1%
363 1
 
< 0.1%
360 42
0.4%
358 1
 
< 0.1%
355 1
 
< 0.1%
351 1
 
< 0.1%
350 11
 
0.1%
348 2
 
< 0.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업종구분명정보주생산품명정보배출시설조업시간배출시설연간가동일수
41203화성시삼진비,엔,피(주)(폐업)20020304<NA>2폐업20061218031355 1042<NA><NA><NA>경기도 화성시 서신면 광평리 221-54,5944588137.170476126.694225<NA><NA><NA><NA><NA>8.0300
13126수원시롯데쇼핑(주)롯데마트 영통점20210823<NA>11영업<NA>0312904000<NA>16703경기도 수원시 영통구 봉영로 1579, 롯데마트 영통점 (영통동)경기도 수원시 영통구 영통동 960-1 롯데마트 영통점1670337.252738127.071667대형 종합 소매업206280.422419416752.265272대형 종합 소매업<NA>18.0210
39996화성시(주)레이나20051005<NA>4폐쇄20151012031 352 6480<NA><NA>경기도 화성시 향남읍 동오1길 47경기도 화성시 향남읍 동오리 474-21858937.134568126.950244<NA><NA><NA><NA><NA>8.0300
20462안성시진성기업20020704<NA>4폐쇄20210811031 6562072<NA><NA><NA>경기도 안성시 원곡면 반제리 82-1,441-151755737.017459127.166801<NA><NA><NA><NA><NA>8.0300
25376용인시한림제약(주)19860226<NA>11영업<NA>360541<NA><NA>경기도 용인시 처인구 영문로 2-27 (유방동)경기도 용인시 처인구 유방동 210-1번지44908037.269099127.209842의료용품 및 기타 의약관련제품 제조업218547.680457418556.751154의료용품 및 기타 의약관련제품 제조업<NA>0.00
2785광주시(주)다건기획20000802<NA>2폐업20090415031 764 5190<NA><NA>경기도 광주시 도척면 다람로 154 (진우리)경기도 광주시 도척면 진우리 100-6번지1281437.328789127.333781<NA><NA><NA><NA><NA>6.0300
9611남양주시주식회사 성일씨앤비20210708<NA>11영업<NA>0315713241<NA>12073경기도 남양주시 진접읍 양진로926번길 24-14경기도 남양주시 진접읍 연평리 218-211207337.703056127.181691골판지, 종이용기 및 기타 종이제품 제조업215947.397088466749.03555골판지, 종이용기 및 기타 종이제품 제조업<NA><NA>0
16674안산시(주)에프에프에이20070807<NA>1영업<NA>0314926444<NA><NA>경기도 안산시 단원구 신원로 99 (반월공단 608-12) (성곡동)경기도 안산시단원구 성곡동 633 (반월공단 608-12)1540937.316757126.751005<NA><NA><NA>사료 제조업<NA><NA><NA>
19461안성시(주)농협사료 경기지사20121126<NA>11영업<NA>0316516245<NA><NA>경기도 안성시 공도읍 대신두길 42-25경기도 안성시 공도읍 신두리 163-11755836.991819127.196109동물용 사료 및 조제식품 제조업217400.236686387781.219965동물용 사료 및 조제식품 제조업<NA>8.0240
22527양주시부일(주)19950218<NA>11영업<NA>031 861 2061<NA><NA>경기도 양주시 남면 삼육사로404번길 60경기도 양주시 남면 한산리 269-51140337.90799126.99615<NA><NA><NA><NA><NA>0.00
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업종구분명정보주생산품명정보배출시설조업시간배출시설연간가동일수
22678양주시호성칠공사20070604<NA>2폐업<NA><NA><NA><NA>경기도 양주시 만송로373번길 39-41 (만송동)경기도 양주시 만송동 184번지1149437.795061127.093892<NA>208205.505648476960.089546<NA><NA>0.00
34486포천시동문기업사20080425<NA>11영업<NA>541-8213<NA>487825경기도 포천시 소흘읍 정금로 31-15경기도 포천시 소흘읍 이가팔리 28-7번지1118137.815618127.164114모터사이클 제조업214386.98159479251.44682모터사이클 제조업오토바이손잡이3.0300
35491하남시영락경로원20020429<NA>2폐업20020427031 792 2155<NA><NA><NA>경기도 하남시 풍산동46517037.5713127.196809노인 수용 복지시설<NA><NA>노인 수용 복지시설<NA>0.00
9792남양주시영노금속20121031<NA>2폐업20140527<NA><NA>472913경기도 남양주시 미금로65번길 1-75 (도농동)경기도 남양주시 다산동 4312-26번지1225337.60956127.150032<NA>213183.722955456378.020197<NA><NA><NA><NA>
1890광주시(주)영동복층유리 성남공장B20210225<NA>11영업<NA>031-738-5611<NA>12783경기도 광주시 옥토골길 33-28 (태전동)경기도 광주시 태전동 332-61278337.392925127.220108판유리가공품 제조업219418.336014432336.267444판유리가공품 제조업<NA>8.0300
18260안산시중앙특장기술(주)20180510<NA>11영업<NA>031-493-8834<NA>15600경기도 안산시 단원구 별망로 505 (원시동)경기도 안산시 단원구 원시동 738-4번지1560037.302284126.781281기타 금속처리업180542.658661422286.4597기타 금속처리업<NA><NA><NA>
2496광주시재호가구20060502<NA>4폐쇄20060626031 766 1188<NA><NA>경기도 광주시 오포읍 봉골길 131-43 (외 1(39-8))경기도 광주시 오포읍 문형리 37번지 외 1(39-8)46489437.353811127.20048주방용 및 음식점용 목재가구 제조업217666.645685427981.590277주방용 및 음식점용 목재가구 제조업<NA>8.0300
33291포천시엠페로가구20030123<NA>11영업<NA><NA><NA><NA>경기도 포천시 가산면 정금로 132 (정교리)경기도 포천시 가산면 정교리 353-2번지48781337.814034127.175558기타 목재가구 제조업<NA><NA>기타 목재가구 제조업<NA>8.0300
24544용인시한국천주금속(주)20050304<NA>11영업<NA>0313234347<NA>449881경기도 용인시 처인구 남사읍 원암로 226경기도 용인시 처인구 남사읍 원암리 43-21712437.086236127.172486접착제 및 젤라틴 제조업215235.140998398295.287116접착제 및 젤라틴 제조업<NA>8.0300
4961김포시(주)승리테크2017-07-24<NA>11영업<NA><NA><NA>10040경기도 김포시 대곶면 학의동로34번길 97-39경기도 김포시 대곶면 대명리 12-141004037.654339126.562112금속가구 제조업161298.481958461428.935519금속가구 제조업금속캐비닛8.0300

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업종구분명정보주생산품명정보배출시설조업시간배출시설연간가동일수# duplicates
0군포시혜성전선(주)198701302폐업200201180343455 9225<NA><NA>경기도 군포시 당정동 164-3번지43503037.356057126.956921절연 금속선 및 케이블 제조업<NA><NA>절연 금속선 및 케이블 제조업<NA>10.03002
1안성시(주)에이이치디씨201901011영업<NA><NA>17520경기도 안성시 죽산면 장원공단길 35-33, (주)에이치디씨경기도 안성시 죽산면 장원리 1389-1 (주)에이치디씨1752037.067378127.427947<NA>237982.0396294.0<NA><NA><NA><NA>2
2용인시(주)동우만앤휴멘2003010911영업<NA><NA><NA>경기도 용인시 처인구 포곡읍 금어로 142 (금어리)경기도 용인시 처인구 포곡읍 금어리 615-2번지44981237.267215127.230006<NA><NA><NA><NA><NA>0.002
3용인시(주)베니스침대2002100111영업<NA><NA><NA><NA>경기도 용인시 처인구 포곡읍 삼계리 361-3번지 외1필지44981437.286796127.238342<NA><NA><NA><NA><NA>0.002
4용인시대성물산2003031511영업<NA><NA><NA>경기도 용인시 처인구 남사면 처인성로475번길 17 (창리)경기도 용인시 처인구 남사면 창리 755-10번지44988537.130147127.165383<NA><NA><NA><NA><NA>0.002
5용인시신성창호목재200301135제외사항<NA><NA><NA>경기도 용인시 처인구 모현읍 초부로148번길 52경기도 용인시 처인구 모현읍 초부리 362-4번지1703737.310875127.253927목재가구 제조업<NA><NA>목재가구 제조업목재문0.002
6용인시신세계자동차공업㈜2011-11-2511영업<NA>031-263-0090<NA>경기도 용인시 수지구 용구대로 2711-3 (죽전동)경기도 용인시 수지구 죽전동 1003-721686937.328031127.107981자동차 종합 수리업209505.984999425107.356991자동차 종합 수리업<NA>8.02402
7용인시신우컬러팩2003031111영업<NA><NA><NA>경기도 용인시 처인구 남사면 각궁로116번길 1 (전궁리)경기도 용인시 처인구 남사면 전궁리 266-2번지44988137.100347127.153384<NA><NA><NA><NA><NA>0.002
8용인시협진화학공업사2003021411영업<NA><NA><NA>경기도 용인시 처인구 백암면 삼백로 874-4 (근삼리)경기도 용인시 처인구 백암면 근삼리 198-25번지44986437.146622127.369477<NA><NA><NA><NA><NA>0.002
9화성시(주)엘피엔201808281영업<NA><NA>18543경기도 화성시 마도면 청원산단8길 138경기도 화성시 마도면 청원리 1322번지1854337.170271126.761501<NA>178824.0407650.0<NA><NA><NA><NA>2