Overview

Dataset statistics

Number of variables51
Number of observations129
Missing cells6312
Missing cells (%)95.9%
Duplicate rows1
Duplicate rows (%)0.8%
Total size in memory56.7 KiB
Average record size in memory450.0 B

Variable types

Text9
Categorical1
Unsupported41

Dataset

Description수처리제제조업등록현황2015811현재
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202391

Alerts

Dataset has 1 (0.8%) duplicate rowsDuplicates
Unnamed: 1 is highly imbalanced (63.2%)Imbalance
수처리제 제조업 등록현황('15.8.11현재) has 115 (89.1%) missing valuesMissing
Unnamed: 2 has 113 (87.6%) missing valuesMissing
Unnamed: 3 has 113 (87.6%) missing valuesMissing
Unnamed: 4 has 113 (87.6%) missing valuesMissing
Unnamed: 5 has 113 (87.6%) missing valuesMissing
Unnamed: 6 has 115 (89.1%) missing valuesMissing
Unnamed: 7 has 113 (87.6%) missing valuesMissing
Unnamed: 8 has 113 (87.6%) missing valuesMissing
Unnamed: 9 has 115 (89.1%) missing valuesMissing
Unnamed: 10 has 129 (100.0%) missing valuesMissing
Unnamed: 11 has 129 (100.0%) missing valuesMissing
Unnamed: 12 has 129 (100.0%) missing valuesMissing
Unnamed: 13 has 129 (100.0%) missing valuesMissing
Unnamed: 14 has 129 (100.0%) missing valuesMissing
Unnamed: 15 has 129 (100.0%) missing valuesMissing
Unnamed: 16 has 129 (100.0%) missing valuesMissing
Unnamed: 17 has 129 (100.0%) missing valuesMissing
Unnamed: 18 has 129 (100.0%) missing valuesMissing
Unnamed: 19 has 129 (100.0%) missing valuesMissing
Unnamed: 20 has 129 (100.0%) missing valuesMissing
Unnamed: 21 has 129 (100.0%) missing valuesMissing
Unnamed: 22 has 129 (100.0%) missing valuesMissing
Unnamed: 23 has 129 (100.0%) missing valuesMissing
Unnamed: 24 has 129 (100.0%) missing valuesMissing
Unnamed: 25 has 129 (100.0%) missing valuesMissing
Unnamed: 26 has 129 (100.0%) missing valuesMissing
Unnamed: 27 has 129 (100.0%) missing valuesMissing
Unnamed: 28 has 129 (100.0%) missing valuesMissing
Unnamed: 29 has 129 (100.0%) missing valuesMissing
Unnamed: 30 has 129 (100.0%) missing valuesMissing
Unnamed: 31 has 129 (100.0%) missing valuesMissing
Unnamed: 32 has 129 (100.0%) missing valuesMissing
Unnamed: 33 has 129 (100.0%) missing valuesMissing
Unnamed: 34 has 129 (100.0%) missing valuesMissing
Unnamed: 35 has 129 (100.0%) missing valuesMissing
Unnamed: 36 has 129 (100.0%) missing valuesMissing
Unnamed: 37 has 129 (100.0%) missing valuesMissing
Unnamed: 38 has 129 (100.0%) missing valuesMissing
Unnamed: 39 has 129 (100.0%) missing valuesMissing
Unnamed: 40 has 129 (100.0%) missing valuesMissing
Unnamed: 41 has 129 (100.0%) missing valuesMissing
Unnamed: 42 has 129 (100.0%) missing valuesMissing
Unnamed: 43 has 129 (100.0%) missing valuesMissing
Unnamed: 44 has 129 (100.0%) missing valuesMissing
Unnamed: 45 has 129 (100.0%) missing valuesMissing
Unnamed: 46 has 129 (100.0%) missing valuesMissing
Unnamed: 47 has 129 (100.0%) missing valuesMissing
Unnamed: 48 has 129 (100.0%) missing valuesMissing
Unnamed: 49 has 129 (100.0%) missing valuesMissing
Unnamed: 50 has 129 (100.0%) missing valuesMissing
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 25 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 26 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 27 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 28 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 29 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 31 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 34 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 35 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 36 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 37 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 38 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 39 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 40 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 41 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 42 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 43 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 44 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 45 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 46 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 47 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 48 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 49 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 50 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 00:33:53.956777
Analysis finished2024-03-14 00:33:54.332142
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수처리제 제조업 등록현황('15.8.11현재)
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing115
Missing (%)89.1%
Memory size1.1 KiB
2024-03-14T09:33:54.431289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1
Mean length1.3571429
Min length1

Characters and Unicode

Total characters19
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row번호
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
번호 1
 
7.1%
1 1
 
7.1%
2 1
 
7.1%
3 1
 
7.1%
4 1
 
7.1%
5 1
 
7.1%
6 1
 
7.1%
7 1
 
7.1%
8 1
 
7.1%
9 1
 
7.1%
Other values (4) 4
28.6%
2024-03-14T09:33:54.671960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 6
31.6%
2 2
 
10.5%
3 2
 
10.5%
번 1
 
5.3%
호 1
 
5.3%
4 1
 
5.3%
5 1
 
5.3%
6 1
 
5.3%
7 1
 
5.3%
8 1
 
5.3%
Other values (2) 2
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17
89.5%
Other Letter 2
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 6
35.3%
2 2
 
11.8%
3 2
 
11.8%
4 1
 
5.9%
5 1
 
5.9%
6 1
 
5.9%
7 1
 
5.9%
8 1
 
5.9%
9 1
 
5.9%
0 1
 
5.9%
Other Letter
ValueCountFrequency (%)
번 1
50.0%
호 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17
89.5%
Hangul 2
 
10.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 6
35.3%
2 2
 
11.8%
3 2
 
11.8%
4 1
 
5.9%
5 1
 
5.9%
6 1
 
5.9%
7 1
 
5.9%
8 1
 
5.9%
9 1
 
5.9%
0 1
 
5.9%
Hangul
ValueCountFrequency (%)
번 1
50.0%
호 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17
89.5%
Hangul 2
 
10.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 6
35.3%
2 2
 
11.8%
3 2
 
11.8%
4 1
 
5.9%
5 1
 
5.9%
6 1
 
5.9%
7 1
 
5.9%
8 1
 
5.9%
9 1
 
5.9%
0 1
 
5.9%
Hangul
ValueCountFrequency (%)
번 1
50.0%
호 1
50.0%

Unnamed: 1
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
113 
전북
15 
구분
 
1

Length

Max length4
Median length4
Mean length3.751938
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row구분
3rd row전북
4th row전북
5th row전북

Common Values

ValueCountFrequency (%)
<NA> 113
87.6%
전북 15
 
11.6%
구분 1
 
0.8%

Length

2024-03-14T09:33:54.784963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:33:54.880862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 113
87.6%
전북 15
 
11.6%
구분 1
 
0.8%

Unnamed: 2
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing113
Missing (%)87.6%
Memory size1.1 KiB
2024-03-14T09:33:55.013278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.75
Min length3

Characters and Unicode

Total characters60
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st row등록번호
2nd row제4호
3rd row제6호
4th row제7호
5th row제14호
ValueCountFrequency (%)
등록번호 1
 
6.2%
제4호 1
 
6.2%
제6호 1
 
6.2%
제7호 1
 
6.2%
제14호 1
 
6.2%
제9호 1
 
6.2%
제12호 1
 
6.2%
제13호 1
 
6.2%
제17호 1
 
6.2%
제18호 1
 
6.2%
Other values (6) 6
37.5%
2024-03-14T09:33:55.328821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 16
26.7%
제 15
25.0%
1 7
11.7%
2 7
11.7%
4 3
 
5.0%
7 2
 
3.3%
9 2
 
3.3%
3 2
 
3.3%
등 1
 
1.7%
록 1
 
1.7%
Other values (4) 4
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34
56.7%
Decimal Number 26
43.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7
26.9%
2 7
26.9%
4 3
11.5%
7 2
 
7.7%
9 2
 
7.7%
3 2
 
7.7%
6 1
 
3.8%
8 1
 
3.8%
0 1
 
3.8%
Other Letter
ValueCountFrequency (%)
호 16
47.1%
제 15
44.1%
등 1
 
2.9%
록 1
 
2.9%
번 1
 
2.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34
56.7%
Common 26
43.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 7
26.9%
2 7
26.9%
4 3
11.5%
7 2
 
7.7%
9 2
 
7.7%
3 2
 
7.7%
6 1
 
3.8%
8 1
 
3.8%
0 1
 
3.8%
Hangul
ValueCountFrequency (%)
호 16
47.1%
제 15
44.1%
등 1
 
2.9%
록 1
 
2.9%
번 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34
56.7%
ASCII 26
43.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 16
47.1%
제 15
44.1%
등 1
 
2.9%
록 1
 
2.9%
번 1
 
2.9%
ASCII
ValueCountFrequency (%)
1 7
26.9%
2 7
26.9%
4 3
11.5%
7 2
 
7.7%
9 2
 
7.7%
3 2
 
7.7%
6 1
 
3.8%
8 1
 
3.8%
0 1
 
3.8%

Unnamed: 3
Text

MISSING 

Distinct15
Distinct (%)93.8%
Missing113
Missing (%)87.6%
Memory size1.1 KiB
2024-03-14T09:33:55.456535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.75
Min length4

Characters and Unicode

Total characters124
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)87.5%

Sample

1st row등록일자
2nd row93.12.27
3rd row92.10.15
4th row93.04.19
5th row03.07.14
ValueCountFrequency (%)
14.04.23 2
 
12.5%
등록일자 1
 
6.2%
93.12.27 1
 
6.2%
92.10.15 1
 
6.2%
93.04.19 1
 
6.2%
03.07.14 1
 
6.2%
99.01.22 1
 
6.2%
01.03.27 1
 
6.2%
03.06.25 1
 
6.2%
05.06.23 1
 
6.2%
Other values (5) 5
31.2%
2024-03-14T09:33:55.734735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 30
24.2%
0 22
17.7%
1 16
12.9%
2 14
11.3%
3 11
 
8.9%
4 6
 
4.8%
9 6
 
4.8%
7 5
 
4.0%
5 5
 
4.0%
6 3
 
2.4%
Other values (5) 6
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
72.6%
Other Punctuation 30
 
24.2%
Other Letter 4
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22
24.4%
1 16
17.8%
2 14
15.6%
3 11
12.2%
4 6
 
6.7%
9 6
 
6.7%
7 5
 
5.6%
5 5
 
5.6%
6 3
 
3.3%
8 2
 
2.2%
Other Letter
ValueCountFrequency (%)
등 1
25.0%
록 1
25.0%
일 1
25.0%
자 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120
96.8%
Hangul 4
 
3.2%

Most frequent character per script

Common
ValueCountFrequency (%)
. 30
25.0%
0 22
18.3%
1 16
13.3%
2 14
11.7%
3 11
 
9.2%
4 6
 
5.0%
9 6
 
5.0%
7 5
 
4.2%
5 5
 
4.2%
6 3
 
2.5%
Hangul
ValueCountFrequency (%)
등 1
25.0%
록 1
25.0%
일 1
25.0%
자 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120
96.8%
Hangul 4
 
3.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 30
25.0%
0 22
18.3%
1 16
13.3%
2 14
11.7%
3 11
 
9.2%
4 6
 
5.0%
9 6
 
5.0%
7 5
 
4.2%
5 5
 
4.2%
6 3
 
2.5%
Hangul
ValueCountFrequency (%)
등 1
25.0%
록 1
25.0%
일 1
25.0%
자 1
25.0%

Unnamed: 4
Text

MISSING 

Distinct14
Distinct (%)87.5%
Missing113
Missing (%)87.6%
Memory size1.1 KiB
2024-03-14T09:33:55.881257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length7.4375
Min length3

Characters and Unicode

Total characters119
Distinct characters53
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)81.2%

Sample

1st row업체명
2nd row한미화학공업㈜
3rd row백광산업㈜ 군산공장
4th row백광산업㈜ 군산공장
5th row백광산업㈜ 군산공장
ValueCountFrequency (%)
백광산업㈜ 3
15.8%
군산공장 3
15.8%
업체명 1
 
5.3%
한미화학공업㈜ 1
 
5.3%
중원알루텍㈜군산공장 1
 
5.3%
㈜지이워터프로세스테크놀로지 1
 
5.3%
oci㈜군산공장 1
 
5.3%
㈜한솔케미칼 1
 
5.3%
㈜에스제이켐 1
 
5.3%
㈜홍익물산 1
 
5.3%
Other values (5) 5
26.3%
2024-03-14T09:33:56.112645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 14
 
11.8%
산 10
 
8.4%
공 7
 
5.9%
장 6
 
5.0%
업 5
 
4.2%
군 5
 
4.2%
이 4
 
3.4%
지 3
 
2.5%
광 3
 
2.5%
백 3
 
2.5%
Other values (43) 59
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
80.7%
Other Symbol 14
 
11.8%
Uppercase Letter 6
 
5.0%
Space Separator 3
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 10
 
10.4%
공 7
 
7.3%
장 6
 
6.2%
업 5
 
5.2%
군 5
 
5.2%
이 4
 
4.2%
지 3
 
3.1%
광 3
 
3.1%
백 3
 
3.1%
스 2
 
2.1%
Other values (38) 48
50.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
33.3%
C 2
33.3%
I 2
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110
92.4%
Latin 6
 
5.0%
Common 3
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 14
 
12.7%
산 10
 
9.1%
공 7
 
6.4%
장 6
 
5.5%
업 5
 
4.5%
군 5
 
4.5%
이 4
 
3.6%
지 3
 
2.7%
광 3
 
2.7%
백 3
 
2.7%
Other values (39) 50
45.5%
Latin
ValueCountFrequency (%)
O 2
33.3%
C 2
33.3%
I 2
33.3%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
80.7%
None 14
 
11.8%
ASCII 9
 
7.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 14
100.0%
Hangul
ValueCountFrequency (%)
산 10
 
10.4%
공 7
 
7.3%
장 6
 
6.2%
업 5
 
5.2%
군 5
 
5.2%
이 4
 
4.2%
지 3
 
3.1%
광 3
 
3.1%
백 3
 
3.1%
스 2
 
2.1%
Other values (38) 48
50.0%
ASCII
ValueCountFrequency (%)
3
33.3%
O 2
22.2%
C 2
22.2%
I 2
22.2%

Unnamed: 5
Text

MISSING 

Distinct13
Distinct (%)81.2%
Missing113
Missing (%)87.6%
Memory size1.1 KiB
2024-03-14T09:33:56.249619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length4.125
Min length3

Characters and Unicode

Total characters66
Distinct characters33
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)68.8%

Sample

1st row대표자
2nd row이석구
3rd row김성훈
4th row김성훈
5th row김성훈
ValueCountFrequency (%)
김성훈 3
16.7%
백우석,이수영 2
11.1%
이우현 2
11.1%
대표자 1
 
5.6%
이석구 1
 
5.6%
장정일 1
 
5.6%
조윤환 1
 
5.6%
박원환 1
 
5.6%
배동수 1
 
5.6%
장정만 1
 
5.6%
Other values (4) 4
22.2%
2024-03-14T09:33:56.530272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 5
 
7.6%
우 4
 
6.1%
, 4
 
6.1%
김 3
 
4.5%
수 3
 
4.5%
정 3
 
4.5%
성 3
 
4.5%
영 3
 
4.5%
장 3
 
4.5%
석 3
 
4.5%
Other values (23) 32
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60
90.9%
Other Punctuation 4
 
6.1%
Control 2
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 5
 
8.3%
우 4
 
6.7%
김 3
 
5.0%
수 3
 
5.0%
정 3
 
5.0%
성 3
 
5.0%
영 3
 
5.0%
장 3
 
5.0%
석 3
 
5.0%
훈 3
 
5.0%
Other values (21) 27
45.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60
90.9%
Common 6
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 5
 
8.3%
우 4
 
6.7%
김 3
 
5.0%
수 3
 
5.0%
정 3
 
5.0%
성 3
 
5.0%
영 3
 
5.0%
장 3
 
5.0%
석 3
 
5.0%
훈 3
 
5.0%
Other values (21) 27
45.0%
Common
ValueCountFrequency (%)
, 4
66.7%
2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60
90.9%
ASCII 6
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 5
 
8.3%
우 4
 
6.7%
김 3
 
5.0%
수 3
 
5.0%
정 3
 
5.0%
성 3
 
5.0%
영 3
 
5.0%
장 3
 
5.0%
석 3
 
5.0%
훈 3
 
5.0%
Other values (21) 27
45.0%
ASCII
ValueCountFrequency (%)
, 4
66.7%
2
33.3%

Unnamed: 6
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing115
Missing (%)89.1%
Memory size1.1 KiB
2024-03-14T09:33:56.740920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length22.5
Mean length21.357143
Min length11

Characters and Unicode

Total characters299
Distinct characters78
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row소 재 지
2nd row익산시 석암로 15길25(석암동)
3rd row군산시 임해로 494-16 (소룡동)
4th row군산시 구암로 3.1로 232-6 (조촌동)
5th row익산시 석암로 9길36 (용제동)
ValueCountFrequency (%)
익산시 4
 
7.0%
군산시 3
 
5.3%
석암로 2
 
3.5%
정읍시 2
 
3.5%
소 1
 
1.8%
4길 1
 
1.8%
1825 1
 
1.8%
전주시 1
 
1.8%
덕진구 1
 
1.8%
상리 1
 
1.8%
Other values (40) 40
70.2%
2024-03-14T09:33:57.063037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
19.7%
2 17
 
5.7%
시 11
 
3.7%
로 11
 
3.7%
산 10
 
3.3%
) 10
 
3.3%
( 10
 
3.3%
동 9
 
3.0%
3 8
 
2.7%
4 7
 
2.3%
Other values (68) 147
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 140
46.8%
Decimal Number 66
22.1%
Space Separator 59
19.7%
Close Punctuation 10
 
3.3%
Open Punctuation 10
 
3.3%
Control 7
 
2.3%
Dash Punctuation 6
 
2.0%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 11
 
7.9%
로 11
 
7.9%
산 10
 
7.1%
동 9
 
6.4%
길 6
 
4.3%
암 5
 
3.6%
군 5
 
3.6%
석 4
 
2.9%
익 4
 
2.9%
천 4
 
2.9%
Other values (52) 71
50.7%
Decimal Number
ValueCountFrequency (%)
2 17
25.8%
3 8
12.1%
4 7
10.6%
1 7
10.6%
7 6
 
9.1%
6 6
 
9.1%
8 5
 
7.6%
5 5
 
7.6%
9 3
 
4.5%
0 2
 
3.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Control
ValueCountFrequency (%)
7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 159
53.2%
Hangul 140
46.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 11
 
7.9%
로 11
 
7.9%
산 10
 
7.1%
동 9
 
6.4%
길 6
 
4.3%
암 5
 
3.6%
군 5
 
3.6%
석 4
 
2.9%
익 4
 
2.9%
천 4
 
2.9%
Other values (52) 71
50.7%
Common
ValueCountFrequency (%)
59
37.1%
2 17
 
10.7%
) 10
 
6.3%
( 10
 
6.3%
3 8
 
5.0%
4 7
 
4.4%
7
 
4.4%
1 7
 
4.4%
7 6
 
3.8%
- 6
 
3.8%
Other values (6) 22
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 159
53.2%
Hangul 140
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
37.1%
2 17
 
10.7%
) 10
 
6.3%
( 10
 
6.3%
3 8
 
5.0%
4 7
 
4.4%
7
 
4.4%
1 7
 
4.4%
7 6
 
3.8%
- 6
 
3.8%
Other values (6) 22
 
13.8%
Hangul
ValueCountFrequency (%)
시 11
 
7.9%
로 11
 
7.9%
산 10
 
7.1%
동 9
 
6.4%
길 6
 
4.3%
암 5
 
3.6%
군 5
 
3.6%
석 4
 
2.9%
익 4
 
2.9%
천 4
 
2.9%
Other values (52) 71
50.7%

Unnamed: 7
Text

MISSING 

Distinct9
Distinct (%)56.2%
Missing113
Missing (%)87.6%
Memory size1.1 KiB
2024-03-14T09:33:57.201897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.25
Min length3

Characters and Unicode

Total characters84
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)31.2%

Sample

1st row등록업종
2nd row응집제
3rd row살균소독제
4th row기타제제
5th row살균소독제
ValueCountFrequency (%)
응집제 5
26.3%
살균소독제 5
26.3%
기타제제 4
21.1%
부식억제제 3
15.8%
등록업종 1
 
5.3%
과산화수소 1
 
5.3%
2024-03-14T09:33:57.465629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 24
28.6%
소 6
 
7.1%
응 5
 
6.0%
살 5
 
6.0%
집 5
 
6.0%
균 5
 
6.0%
독 5
 
6.0%
타 4
 
4.8%
기 4
 
4.8%
억 3
 
3.6%
Other values (12) 18
21.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80
95.2%
Control 3
 
3.6%
Other Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 24
30.0%
소 6
 
7.5%
응 5
 
6.2%
살 5
 
6.2%
집 5
 
6.2%
균 5
 
6.2%
독 5
 
6.2%
타 4
 
5.0%
기 4
 
5.0%
억 3
 
3.8%
Other values (10) 14
17.5%
Control
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80
95.2%
Common 4
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 24
30.0%
소 6
 
7.5%
응 5
 
6.2%
살 5
 
6.2%
집 5
 
6.2%
균 5
 
6.2%
독 5
 
6.2%
타 4
 
5.0%
기 4
 
5.0%
억 3
 
3.8%
Other values (10) 14
17.5%
Common
ValueCountFrequency (%)
3
75.0%
, 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80
95.2%
ASCII 4
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 24
30.0%
소 6
 
7.5%
응 5
 
6.2%
살 5
 
6.2%
집 5
 
6.2%
균 5
 
6.2%
독 5
 
6.2%
타 4
 
5.0%
기 4
 
5.0%
억 3
 
3.8%
Other values (10) 14
17.5%
ASCII
ValueCountFrequency (%)
3
75.0%
, 1
 
25.0%

Unnamed: 8
Text

MISSING 

Distinct15
Distinct (%)93.8%
Missing113
Missing (%)87.6%
Memory size1.1 KiB
2024-03-14T09:33:57.616082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20.5
Mean length13.75
Min length4

Characters and Unicode

Total characters220
Distinct characters46
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)87.5%

Sample

1st row제 조 품 목
2nd row황산알루미늄(액체) 폴리염화알루미늄(액체)
3rd row액화염소(액체)
4th row수산화나트륨(액체)
5th row차아염소산나트륨(액체)
ValueCountFrequency (%)
황산알루미늄(액체 3
 
10.0%
2호 3
 
10.0%
2종 2
 
6.7%
폴리염화알루미늄(액체 2
 
6.7%
액화염소(액체 2
 
6.7%
수산화나트륨(액체 2
 
6.7%
차아염소산나트륨(액체 2
 
6.7%
과산화수소(액체 1
 
3.3%
수산화칼슘(액상소석회 1
 
3.3%
살균,소독제,액체 1
 
3.3%
Other values (11) 11
36.7%
2024-03-14T09:33:57.863520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
액 19
 
8.6%
( 17
 
7.7%
) 17
 
7.7%
체 16
 
7.3%
11
 
5.0%
산 11
 
5.0%
화 8
 
3.6%
소 8
 
3.6%
염 7
 
3.2%
2 6
 
2.7%
Other values (36) 100
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
70.5%
Open Punctuation 17
 
7.7%
Close Punctuation 17
 
7.7%
Space Separator 11
 
5.0%
Decimal Number 9
 
4.1%
Control 6
 
2.7%
Other Punctuation 5
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
액 19
 
12.3%
체 16
 
10.3%
산 11
 
7.1%
화 8
 
5.2%
소 8
 
5.2%
염 7
 
4.5%
트 6
 
3.9%
늄 5
 
3.2%
미 5
 
3.2%
루 5
 
3.2%
Other values (29) 65
41.9%
Decimal Number
ValueCountFrequency (%)
2 6
66.7%
1 3
33.3%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Control
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
70.5%
Common 65
29.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
액 19
 
12.3%
체 16
 
10.3%
산 11
 
7.1%
화 8
 
5.2%
소 8
 
5.2%
염 7
 
4.5%
트 6
 
3.9%
늄 5
 
3.2%
미 5
 
3.2%
루 5
 
3.2%
Other values (29) 65
41.9%
Common
ValueCountFrequency (%)
( 17
26.2%
) 17
26.2%
11
16.9%
2 6
 
9.2%
6
 
9.2%
, 5
 
7.7%
1 3
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
70.5%
ASCII 65
29.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
액 19
 
12.3%
체 16
 
10.3%
산 11
 
7.1%
화 8
 
5.2%
소 8
 
5.2%
염 7
 
4.5%
트 6
 
3.9%
늄 5
 
3.2%
미 5
 
3.2%
루 5
 
3.2%
Other values (29) 65
41.9%
ASCII
ValueCountFrequency (%)
( 17
26.2%
) 17
26.2%
11
16.9%
2 6
 
9.2%
6
 
9.2%
, 5
 
7.7%
1 3
 
4.6%

Unnamed: 9
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing115
Missing (%)89.1%
Memory size1.1 KiB
2024-03-14T09:33:58.017585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.642857
Min length7

Characters and Unicode

Total characters163
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row전 화 번 호
2nd row063)833-8416
3rd row063)467-0248
4th row063)442-9941
5th row063)835-6480
ValueCountFrequency (%)
전 1
 
5.9%
063)260-8122 1
 
5.9%
063)546-8711 1
 
5.9%
063)830-7777 1
 
5.9%
063)535-9953 1
 
5.9%
063)213-9688 1
 
5.9%
063)352-9410 1
 
5.9%
063)836-9454 1
 
5.9%
063)460-6320 1
 
5.9%
화 1
 
5.9%
Other values (7) 7
41.2%
2024-03-14T09:33:58.276834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 24
14.7%
6 22
13.5%
0 20
12.3%
) 13
8.0%
4 13
8.0%
- 13
8.0%
8 11
6.7%
1 9
 
5.5%
5 9
 
5.5%
2 8
 
4.9%
Other values (7) 21
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 130
79.8%
Close Punctuation 13
 
8.0%
Dash Punctuation 13
 
8.0%
Other Letter 4
 
2.5%
Space Separator 3
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 24
18.5%
6 22
16.9%
0 20
15.4%
4 13
10.0%
8 11
8.5%
1 9
 
6.9%
5 9
 
6.9%
2 8
 
6.2%
7 7
 
5.4%
9 7
 
5.4%
Other Letter
ValueCountFrequency (%)
호 1
25.0%
번 1
25.0%
화 1
25.0%
전 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 159
97.5%
Hangul 4
 
2.5%

Most frequent character per script

Common
ValueCountFrequency (%)
3 24
15.1%
6 22
13.8%
0 20
12.6%
) 13
8.2%
4 13
8.2%
- 13
8.2%
8 11
6.9%
1 9
 
5.7%
5 9
 
5.7%
2 8
 
5.0%
Other values (3) 17
10.7%
Hangul
ValueCountFrequency (%)
호 1
25.0%
번 1
25.0%
화 1
25.0%
전 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 159
97.5%
Hangul 4
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 24
15.1%
6 22
13.8%
0 20
12.6%
) 13
8.2%
4 13
8.2%
- 13
8.2%
8 11
6.9%
1 9
 
5.7%
5 9
 
5.7%
2 8
 
5.0%
Other values (3) 17
10.7%
Hangul
ValueCountFrequency (%)
호 1
25.0%
번 1
25.0%
화 1
25.0%
전 1
25.0%

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 25
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 26
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 27
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 28
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 29
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 31
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 34
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 35
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 37
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 39
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 40
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 41
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 42
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 43
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 44
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 45
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 46
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 47
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 48
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 49
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Unnamed: 50
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing129
Missing (%)100.0%
Memory size1.3 KiB

Sample

수처리제 제조업 등록현황('15.8.11현재)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1번호구분등록번호등록일자업체명대표자소 재 지등록업종제 조 품 목전 화 번 호<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
21전북제4호93.12.27한미화학공업㈜이석구익산시 석암로 15길25(석암동)응집제황산알루미늄(액체) 폴리염화알루미늄(액체)063)833-8416<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
32전북제6호92.10.15백광산업㈜ 군산공장김성훈군산시 임해로 494-16 (소룡동)살균소독제액화염소(액체)063)467-0248<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4<NA>전북제7호93.04.19백광산업㈜ 군산공장김성훈<NA>기타제제수산화나트륨(액체)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5<NA>전북제14호03.07.14백광산업㈜ 군산공장김성훈<NA>살균소독제차아염소산나트륨(액체)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63전북제9호99.01.22중원알루텍㈜군산공장장정일군산시 구암로 3.1로 232-6 (조촌동)응집제황산알루미늄(액체)063)442-9941<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
74전북제12호01.03.27㈜지이워터프로세스테크놀로지조윤환익산시 석암로 9길36 (용제동)부식억제제1종 2호, 2종 2호063)835-6480<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
85전북제13호03.06.25OCI㈜군산공장백우석,이수영, 이우현군산시 외항로 82(소룡동)살균소독제, 기타제제차아염소산나트륨, 액화염소(액체) 수산화나트륨(액체)063)460-6320<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
96전북제17호05.06.23㈜한솔케미칼박원환완주군 봉동읍 과학로 873 (용암리)응집제 살균소독제폴리아민(액체) 과산화수소(액체)063)260-8122<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
수처리제 제조업 등록현황('15.8.11현재)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50
119<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
120<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
121<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
122<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
123<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
124<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
125<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
127<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
128<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

수처리제 제조업 등록현황('15.8.11현재)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>113