Overview

Dataset statistics

Number of variables22
Number of observations166
Missing cells2786
Missing cells (%)76.3%
Duplicate rows1
Duplicate rows (%)0.6%
Total size in memory29.0 KiB
Average record size in memory178.8 B

Variable types

Text16
DateTime1
Categorical4
Unsupported1

Dataset

Description건설기술용역업등록현황20152
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202464

Alerts

Dataset has 1 (0.6%) duplicate rowsDuplicates
연락처 is highly imbalanced (94.7%)Imbalance
Unnamed: 8 is highly imbalanced (73.6%)Imbalance
Unnamed: 9 is highly imbalanced (80.8%)Imbalance
Unnamed: 10 is highly imbalanced (85.0%)Imbalance
연번 has 136 (81.9%) missing valuesMissing
등록 번호 has 137 (82.5%) missing valuesMissing
최초 등록일 has 137 (82.5%) missing valuesMissing
상 호 has 136 (81.9%) missing valuesMissing
대표자 has 136 (81.9%) missing valuesMissing
주소 has 136 (81.9%) missing valuesMissing
등록업종 has 164 (98.8%) missing valuesMissing
Unnamed: 11 has 163 (98.2%) missing valuesMissing
Unnamed: 12 has 164 (98.8%) missing valuesMissing
Unnamed: 13 has 164 (98.8%) missing valuesMissing
Unnamed: 14 has 163 (98.2%) missing valuesMissing
Unnamed: 15 has 164 (98.8%) missing valuesMissing
Unnamed: 16 has 164 (98.8%) missing valuesMissing
Unnamed: 17 has 164 (98.8%) missing valuesMissing
Unnamed: 18 has 164 (98.8%) missing valuesMissing
Unnamed: 19 has 164 (98.8%) missing valuesMissing
Unnamed: 20 has 164 (98.8%) missing valuesMissing
비고 has 166 (100.0%) missing valuesMissing
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 03:07:09.641760
Analysis finished2024-03-14 03:07:10.028612
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing136
Missing (%)81.9%
Memory size1.4 KiB
2024-03-14T12:07:10.129777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.7
Min length1

Characters and Unicode

Total characters51
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

Unique30 ?
Unique (%)100.0%

Sample

1st row총계
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
총계 1
 
3.3%
1 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
22 1
 
3.3%
21 1
 
3.3%
Other values (20) 20
66.7%
2024-03-14T12:07:10.393405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 13
25.5%
2 13
25.5%
3 3
 
5.9%
4 3
 
5.9%
5 3
 
5.9%
6 3
 
5.9%
7 3
 
5.9%
8 3
 
5.9%
9 3
 
5.9%
0 2
 
3.9%
Other values (2) 2
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49
96.1%
Other Letter 2
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
26.5%
2 13
26.5%
3 3
 
6.1%
4 3
 
6.1%
5 3
 
6.1%
6 3
 
6.1%
7 3
 
6.1%
8 3
 
6.1%
9 3
 
6.1%
0 2
 
4.1%
Other Letter
ValueCountFrequency (%)
총 1
50.0%
계 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 49
96.1%
Hangul 2
 
3.9%

Most frequent character per script

Common
ValueCountFrequency (%)
1 13
26.5%
2 13
26.5%
3 3
 
6.1%
4 3
 
6.1%
5 3
 
6.1%
6 3
 
6.1%
7 3
 
6.1%
8 3
 
6.1%
9 3
 
6.1%
0 2
 
4.1%
Hangul
ValueCountFrequency (%)
총 1
50.0%
계 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49
96.1%
Hangul 2
 
3.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 13
26.5%
2 13
26.5%
3 3
 
6.1%
4 3
 
6.1%
5 3
 
6.1%
6 3
 
6.1%
7 3
 
6.1%
8 3
 
6.1%
9 3
 
6.1%
0 2
 
4.1%
Hangul
ValueCountFrequency (%)
총 1
50.0%
계 1
50.0%

등록 번호
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing137
Missing (%)82.5%
Memory size1.4 KiB
2024-03-14T12:07:10.551867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6896552
Min length3

Characters and Unicode

Total characters107
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

Unique29 ?
Unique (%)100.0%

Sample

1st row2-1
2nd row2-2
3rd row2-3
4th row2-4
5th row2-5
ValueCountFrequency (%)
2-1 1
 
3.4%
2-16 1
 
3.4%
2-28 1
 
3.4%
2-27 1
 
3.4%
2-26 1
 
3.4%
2-25 1
 
3.4%
2-24 1
 
3.4%
2-23 1
 
3.4%
2-22 1
 
3.4%
2-21 1
 
3.4%
Other values (19) 19
65.5%
2024-03-14T12:07:10.808501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 42
39.3%
- 29
27.1%
1 13
 
12.1%
3 3
 
2.8%
4 3
 
2.8%
5 3
 
2.8%
6 3
 
2.8%
7 3
 
2.8%
8 3
 
2.8%
9 3
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78
72.9%
Dash Punctuation 29
 
27.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 42
53.8%
1 13
 
16.7%
3 3
 
3.8%
4 3
 
3.8%
5 3
 
3.8%
6 3
 
3.8%
7 3
 
3.8%
8 3
 
3.8%
9 3
 
3.8%
0 2
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 42
39.3%
- 29
27.1%
1 13
 
12.1%
3 3
 
2.8%
4 3
 
2.8%
5 3
 
2.8%
6 3
 
2.8%
7 3
 
2.8%
8 3
 
2.8%
9 3
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 42
39.3%
- 29
27.1%
1 13
 
12.1%
3 3
 
2.8%
4 3
 
2.8%
5 3
 
2.8%
6 3
 
2.8%
7 3
 
2.8%
8 3
 
2.8%
9 3
 
2.8%

최초 등록일
Date

MISSING 

Distinct21
Distinct (%)72.4%
Missing137
Missing (%)82.5%
Memory size1.4 KiB
Minimum2004-02-15 00:00:00
Maximum2028-01-15 00:00:00
2024-03-14T12:07:10.924161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T12:07:11.044487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

상 호
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing136
Missing (%)81.9%
Memory size1.4 KiB
2024-03-14T12:07:11.227453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length7.8666667
Min length2

Characters and Unicode

Total characters236
Distinct characters67
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row29
2nd row종합건축사사무소 세림㈜
3rd row㈜목양종합건축사무소
4th row㈜길건축사사무소
5th row㈜세화엔지니어링
ValueCountFrequency (%)
29 1
 
3.1%
종합건축사사무소 1
 
3.1%
㈜한가람 1
 
3.1%
유)용성엔지니어링 1
 
3.1%
유)대성이엔씨 1
 
3.1%
㈜대성건축사사무소 1
 
3.1%
㈜태영기술공사 1
 
3.1%
㈜수혁기술공사 1
 
3.1%
㈜대한측량기술 1
 
3.1%
㈜유앤디엔지니어링 1
 
3.1%
Other values (22) 22
68.8%
2024-03-14T12:07:11.549115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 22
 
9.3%
사 12
 
5.1%
기 11
 
4.7%
술 11
 
4.7%
건 11
 
4.7%
엔 10
 
4.2%
유 9
 
3.8%
지 9
 
3.8%
니 8
 
3.4%
링 8
 
3.4%
Other values (57) 125
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 196
83.1%
Other Symbol 22
 
9.3%
Open Punctuation 7
 
3.0%
Close Punctuation 7
 
3.0%
Decimal Number 2
 
0.8%
Space Separator 1
 
0.4%
Control 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 12
 
6.1%
기 11
 
5.6%
술 11
 
5.6%
건 11
 
5.6%
엔 10
 
5.1%
유 9
 
4.6%
지 9
 
4.6%
니 8
 
4.1%
링 8
 
4.1%
어 8
 
4.1%
Other values (50) 99
50.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
9 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
92.4%
Common 18
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 22
 
10.1%
사 12
 
5.5%
기 11
 
5.0%
술 11
 
5.0%
건 11
 
5.0%
엔 10
 
4.6%
유 9
 
4.1%
지 9
 
4.1%
니 8
 
3.7%
링 8
 
3.7%
Other values (51) 107
49.1%
Common
ValueCountFrequency (%)
( 7
38.9%
) 7
38.9%
2 1
 
5.6%
1
 
5.6%
1
 
5.6%
9 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196
83.1%
None 22
 
9.3%
ASCII 18
 
7.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 22
100.0%
Hangul
ValueCountFrequency (%)
사 12
 
6.1%
기 11
 
5.6%
술 11
 
5.6%
건 11
 
5.6%
엔 10
 
5.1%
유 9
 
4.6%
지 9
 
4.6%
니 8
 
4.1%
링 8
 
4.1%
어 8
 
4.1%
Other values (50) 99
50.5%
ASCII
ValueCountFrequency (%)
( 7
38.9%
) 7
38.9%
2 1
 
5.6%
1
 
5.6%
1
 
5.6%
9 1
 
5.6%

대표자
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing136
Missing (%)81.9%
Memory size1.4 KiB
2024-03-14T12:07:11.789790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0666667
Min length2

Characters and Unicode

Total characters92
Distinct characters62
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

Unique30 ?
Unique (%)100.0%

Sample

1st row29
2nd row박종윤
3rd row김경옥
4th row이길환 박태우
5th row박석순
ValueCountFrequency (%)
29 1
 
3.2%
강덕훈 1
 
3.2%
류양규 1
 
3.2%
원복주 1
 
3.2%
강대후 1
 
3.2%
김창호 1
 
3.2%
장성태 1
 
3.2%
김인술 1
 
3.2%
김경준 1
 
3.2%
김남수 1
 
3.2%
Other values (21) 21
67.7%
2024-03-14T12:07:12.143881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 7
 
7.6%
박 6
 
6.5%
강 3
 
3.3%
최 3
 
3.3%
경 3
 
3.3%
영 3
 
3.3%
우 2
 
2.2%
원 2
 
2.2%
성 2
 
2.2%
술 2
 
2.2%
Other values (52) 59
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89
96.7%
Decimal Number 2
 
2.2%
Control 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
7.9%
박 6
 
6.7%
강 3
 
3.4%
최 3
 
3.4%
경 3
 
3.4%
영 3
 
3.4%
우 2
 
2.2%
원 2
 
2.2%
성 2
 
2.2%
술 2
 
2.2%
Other values (49) 56
62.9%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
9 1
50.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89
96.7%
Common 3
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
7.9%
박 6
 
6.7%
강 3
 
3.4%
최 3
 
3.4%
경 3
 
3.4%
영 3
 
3.4%
우 2
 
2.2%
원 2
 
2.2%
성 2
 
2.2%
술 2
 
2.2%
Other values (49) 56
62.9%
Common
ValueCountFrequency (%)
2 1
33.3%
1
33.3%
9 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89
96.7%
ASCII 3
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 7
 
7.9%
박 6
 
6.7%
강 3
 
3.4%
최 3
 
3.4%
경 3
 
3.4%
영 3
 
3.4%
우 2
 
2.2%
원 2
 
2.2%
성 2
 
2.2%
술 2
 
2.2%
Other values (49) 56
62.9%
ASCII
ValueCountFrequency (%)
2 1
33.3%
1
33.3%
9 1
33.3%

주소
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing136
Missing (%)81.9%
Memory size1.4 KiB
2024-03-14T12:07:12.353700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length18.633333
Min length2

Characters and Unicode

Total characters559
Distinct characters99
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

Unique30 ?
Unique (%)100.0%

Sample

1st row29
2nd row전주시 완산구 전주천서로 473(서신동)
3rd row전주시 덕진구 추탄로 38, 3층(덕진동2가)
4th row전주시 완산구 서곡5길 14-3(효자동3가)
5th row전주시 완산구 중화산로 68, 404
ValueCountFrequency (%)
전주시 13
 
10.6%
덕진구 7
 
5.7%
완산구 6
 
4.9%
정읍시 3
 
2.4%
익산시 3
 
2.4%
299 2
 
1.6%
21-12 2
 
1.6%
3층 2
 
1.6%
부안군 2
 
1.6%
2가 2
 
1.6%
Other values (78) 81
65.9%
2024-03-14T12:07:12.672784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
 
16.6%
2 26
 
4.7%
시 23
 
4.1%
로 21
 
3.8%
1 20
 
3.6%
주 18
 
3.2%
3 15
 
2.7%
전 15
 
2.7%
산 13
 
2.3%
구 13
 
2.3%
Other values (89) 302
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 306
54.7%
Decimal Number 119
 
21.3%
Space Separator 93
 
16.6%
Close Punctuation 13
 
2.3%
Open Punctuation 13
 
2.3%
Dash Punctuation 8
 
1.4%
Other Punctuation 7
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 23
 
7.5%
로 21
 
6.9%
주 18
 
5.9%
전 15
 
4.9%
산 13
 
4.2%
구 13
 
4.2%
진 13
 
4.2%
동 13
 
4.2%
읍 10
 
3.3%
군 8
 
2.6%
Other values (74) 159
52.0%
Decimal Number
ValueCountFrequency (%)
2 26
21.8%
1 20
16.8%
3 15
12.6%
9 12
10.1%
4 11
9.2%
7 8
 
6.7%
5 8
 
6.7%
8 8
 
6.7%
6 6
 
5.0%
0 5
 
4.2%
Space Separator
ValueCountFrequency (%)
93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 306
54.7%
Common 253
45.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 23
 
7.5%
로 21
 
6.9%
주 18
 
5.9%
전 15
 
4.9%
산 13
 
4.2%
구 13
 
4.2%
진 13
 
4.2%
동 13
 
4.2%
읍 10
 
3.3%
군 8
 
2.6%
Other values (74) 159
52.0%
Common
ValueCountFrequency (%)
93
36.8%
2 26
 
10.3%
1 20
 
7.9%
3 15
 
5.9%
) 13
 
5.1%
( 13
 
5.1%
9 12
 
4.7%
4 11
 
4.3%
7 8
 
3.2%
5 8
 
3.2%
Other values (5) 34
 
13.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 306
54.7%
ASCII 253
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
36.8%
2 26
 
10.3%
1 20
 
7.9%
3 15
 
5.9%
) 13
 
5.1%
( 13
 
5.1%
9 12
 
4.7%
4 11
 
4.3%
7 8
 
3.2%
5 8
 
3.2%
Other values (5) 34
 
13.4%
Hangul
ValueCountFrequency (%)
시 23
 
7.5%
로 21
 
6.9%
주 18
 
5.9%
전 15
 
4.9%
산 13
 
4.2%
구 13
 
4.2%
진 13
 
4.2%
동 13
 
4.2%
읍 10
 
3.3%
군 8
 
2.6%
Other values (74) 159
52.0%

연락처
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
165 
0
 
1

Length

Max length4
Median length4
Mean length3.9819277
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 165
99.4%
0 1
 
0.6%

Length

2024-03-14T12:07:12.780441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:12.861076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 165
99.4%
0 1
 
0.6%

등록업종
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing164
Missing (%)98.8%
Memory size1.4 KiB
2024-03-14T12:07:12.942319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Characters and Unicode

Total characters3
Distinct characters3
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

Unique2 ?
Unique (%)100.0%

Sample

1st row종합
2nd row0
ValueCountFrequency (%)
종합 1
50.0%
0 1
50.0%
2024-03-14T12:07:13.158744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
종 1
33.3%
합 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
66.7%
Decimal Number 1
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 1
50.0%
합 1
50.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
66.7%
Common 1
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 1
50.0%
합 1
50.0%
Common
ValueCountFrequency (%)
0 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
66.7%
ASCII 1
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
종 1
50.0%
합 1
50.0%
ASCII
ValueCountFrequency (%)
0 1
100.0%

Unnamed: 8
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
147 
○
16 
설계 ㆍ사업관리
 
1
일반
 
1
16
 
1

Length

Max length8
Median length4
Mean length3.7108434
Min length1

Unique

Unique3 ?
Unique (%)1.8%

Sample

1st row설계 ㆍ사업관리
2nd row일반
3rd row<NA>
4th row16
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 147
88.6%
○ 16
 
9.6%
설계 ㆍ사업관리 1
 
0.6%
일반 1
 
0.6%
16 1
 
0.6%

Length

2024-03-14T12:07:13.273470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:13.368838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 147
88.0%
○ 16
 
9.6%
설계 1
 
0.6%
ㆍ사업관리 1
 
0.6%
일반 1
 
0.6%
16 1
 
0.6%

Unnamed: 9
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
156 
○
 
8
설계등 용역
 
1
8
 
1

Length

Max length6
Median length4
Mean length3.8493976
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row<NA>
2nd row설계등 용역
3rd row<NA>
4th row8
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 156
94.0%
○ 8
 
4.8%
설계등 용역 1
 
0.6%
8 1
 
0.6%

Length

2024-03-14T12:07:13.462071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:13.550826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 156
93.4%
○ 8
 
4.8%
설계등 1
 
0.6%
용역 1
 
0.6%
8 1
 
0.6%

Unnamed: 10
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
159 
○
 
5
건설 사업 관리
 
1
5
 
1

Length

Max length8
Median length4
Mean length3.9156627
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row<NA>
2nd row건설 사업 관리
3rd row<NA>
4th row5
5th row○

Common Values

ValueCountFrequency (%)
<NA> 159
95.8%
○ 5
 
3.0%
건설 사업 관리 1
 
0.6%
5 1
 
0.6%

Length

2024-03-14T12:07:13.654276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:07:14.039733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 159
94.6%
○ 5
 
3.0%
건설 1
 
0.6%
사업 1
 
0.6%
관리 1
 
0.6%
5 1
 
0.6%

Unnamed: 11
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing163
Missing (%)98.2%
Memory size1.4 KiB
2024-03-14T12:07:14.141078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.3333333
Min length1

Characters and Unicode

Total characters7
Distinct characters7
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

Unique3 ?
Unique (%)100.0%

Sample

1st row품질검사
2nd row일반
3rd row0
ValueCountFrequency (%)
품질검사 1
33.3%
일반 1
33.3%
0 1
33.3%
2024-03-14T12:07:14.365540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 1
14.3%
질 1
14.3%
검 1
14.3%
사 1
14.3%
일 1
14.3%
반 1
14.3%
0 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
85.7%
Decimal Number 1
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 1
16.7%
질 1
16.7%
검 1
16.7%
사 1
16.7%
일 1
16.7%
반 1
16.7%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
85.7%
Common 1
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 1
16.7%
질 1
16.7%
검 1
16.7%
사 1
16.7%
일 1
16.7%
반 1
16.7%
Common
ValueCountFrequency (%)
0 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
85.7%
ASCII 1
 
14.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 1
16.7%
질 1
16.7%
검 1
16.7%
사 1
16.7%
일 1
16.7%
반 1
16.7%
ASCII
ValueCountFrequency (%)
0 1
100.0%

Unnamed: 12
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing164
Missing (%)98.8%
Memory size1.4 KiB
2024-03-14T12:07:14.484068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Characters and Unicode

Total characters3
Distinct characters3
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

Unique2 ?
Unique (%)100.0%

Sample

1st row토목
2nd row0
ValueCountFrequency (%)
토목 1
50.0%
0 1
50.0%
2024-03-14T12:07:14.699153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
토 1
33.3%
목 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
66.7%
Decimal Number 1
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 1
50.0%
목 1
50.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
66.7%
Common 1
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
토 1
50.0%
목 1
50.0%
Common
ValueCountFrequency (%)
0 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
66.7%
ASCII 1
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
토 1
50.0%
목 1
50.0%
ASCII
ValueCountFrequency (%)
0 1
100.0%

Unnamed: 13
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing164
Missing (%)98.8%
Memory size1.4 KiB
2024-03-14T12:07:14.802364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Characters and Unicode

Total characters3
Distinct characters3
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

Unique2 ?
Unique (%)100.0%

Sample

1st row건축
2nd row0
ValueCountFrequency (%)
건축 1
50.0%
0 1
50.0%
2024-03-14T12:07:15.002621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 1
33.3%
축 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
66.7%
Decimal Number 1
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 1
50.0%
축 1
50.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
66.7%
Common 1
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 1
50.0%
축 1
50.0%
Common
ValueCountFrequency (%)
0 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
66.7%
ASCII 1
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 1
50.0%
축 1
50.0%
ASCII
ValueCountFrequency (%)
0 1
100.0%

Unnamed: 14
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing163
Missing (%)98.2%
Memory size1.4 KiB
2024-03-14T12:07:15.114315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length1.6666667
Min length1

Characters and Unicode

Total characters5
Distinct characters5
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

Unique3 ?
Unique (%)100.0%

Sample

1st row특수
2nd row골재
3rd row0
ValueCountFrequency (%)
특수 1
33.3%
골재 1
33.3%
0 1
33.3%
2024-03-14T12:07:15.310578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
특 1
20.0%
수 1
20.0%
골 1
20.0%
재 1
20.0%
0 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Decimal Number 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
특 1
25.0%
수 1
25.0%
골 1
25.0%
재 1
25.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
특 1
25.0%
수 1
25.0%
골 1
25.0%
재 1
25.0%
Common
ValueCountFrequency (%)
0 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
특 1
25.0%
수 1
25.0%
골 1
25.0%
재 1
25.0%
ASCII
ValueCountFrequency (%)
0 1
100.0%

Unnamed: 15
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing164
Missing (%)98.8%
Memory size1.4 KiB
2024-03-14T12:07:15.404763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2
Min length1

Characters and Unicode

Total characters4
Distinct characters4
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

Unique2 ?
Unique (%)100.0%

Sample

1st row레미콘
2nd row0
ValueCountFrequency (%)
레미콘 1
50.0%
0 1
50.0%
2024-03-14T12:07:15.600189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
레 1
25.0%
미 1
25.0%
콘 1
25.0%
0 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
75.0%
Decimal Number 1
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
레 1
33.3%
미 1
33.3%
콘 1
33.3%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
75.0%
Common 1
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
레 1
33.3%
미 1
33.3%
콘 1
33.3%
Common
ValueCountFrequency (%)
0 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
75.0%
ASCII 1
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
레 1
33.3%
미 1
33.3%
콘 1
33.3%
ASCII
ValueCountFrequency (%)
0 1
100.0%

Unnamed: 16
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing164
Missing (%)98.8%
Memory size1.4 KiB
2024-03-14T12:07:15.704792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2
Min length1

Characters and Unicode

Total characters4
Distinct characters4
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

Unique2 ?
Unique (%)100.0%

Sample

1st row아스콘
2nd row0
ValueCountFrequency (%)
아스콘 1
50.0%
0 1
50.0%
2024-03-14T12:07:15.942152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 1
25.0%
스 1
25.0%
콘 1
25.0%
0 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
75.0%
Decimal Number 1
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1
33.3%
스 1
33.3%
콘 1
33.3%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
75.0%
Common 1
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1
33.3%
스 1
33.3%
콘 1
33.3%
Common
ValueCountFrequency (%)
0 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
75.0%
ASCII 1
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 1
33.3%
스 1
33.3%
콘 1
33.3%
ASCII
ValueCountFrequency (%)
0 1
100.0%

Unnamed: 17
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing164
Missing (%)98.8%
Memory size1.4 KiB
2024-03-14T12:07:16.097548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2
Min length1

Characters and Unicode

Total characters4
Distinct characters4
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

Unique2 ?
Unique (%)100.0%

Sample

1st row철강재
2nd row0
ValueCountFrequency (%)
철강재 1
50.0%
0 1
50.0%
2024-03-14T12:07:16.389937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
철 1
25.0%
강 1
25.0%
재 1
25.0%
0 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
75.0%
Decimal Number 1
 
25.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
철 1
33.3%
강 1
33.3%
재 1
33.3%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
75.0%
Common 1
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
철 1
33.3%
강 1
33.3%
재 1
33.3%
Common
ValueCountFrequency (%)
0 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
75.0%
ASCII 1
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
철 1
33.3%
강 1
33.3%
재 1
33.3%
ASCII
ValueCountFrequency (%)
0 1
100.0%

Unnamed: 18
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing164
Missing (%)98.8%
Memory size1.4 KiB
2024-03-14T12:07:16.508465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Characters and Unicode

Total characters3
Distinct characters3
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

Unique2 ?
Unique (%)100.0%

Sample

1st row섬유
2nd row0
ValueCountFrequency (%)
섬유 1
50.0%
0 1
50.0%
2024-03-14T12:07:16.768279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
섬 1
33.3%
유 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
66.7%
Decimal Number 1
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
섬 1
50.0%
유 1
50.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
66.7%
Common 1
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
섬 1
50.0%
유 1
50.0%
Common
ValueCountFrequency (%)
0 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
66.7%
ASCII 1
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
섬 1
50.0%
유 1
50.0%
ASCII
ValueCountFrequency (%)
0 1
100.0%

Unnamed: 19
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing164
Missing (%)98.8%
Memory size1.4 KiB
2024-03-14T12:07:16.869669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length1.5
Mean length1.5
Min length1

Characters and Unicode

Total characters3
Distinct characters3
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

Unique2 ?
Unique (%)100.0%

Sample

1st row용접
2nd row0
ValueCountFrequency (%)
용접 1
50.0%
0 1
50.0%
2024-03-14T12:07:17.096918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
용 1
33.3%
접 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
66.7%
Decimal Number 1
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 1
50.0%
접 1
50.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
66.7%
Common 1
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 1
50.0%
접 1
50.0%
Common
ValueCountFrequency (%)
0 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
66.7%
ASCII 1
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
용 1
50.0%
접 1
50.0%
ASCII
ValueCountFrequency (%)
0 1
100.0%

Unnamed: 20
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing164
Missing (%)98.8%
Memory size1.4 KiB
2024-03-14T12:07:17.208524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Characters and Unicode

Total characters5
Distinct characters5
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

Unique2 ?
Unique (%)100.0%

Sample

1st row말뚝재해
2nd row0
ValueCountFrequency (%)
말뚝재해 1
50.0%
0 1
50.0%
2024-03-14T12:07:17.421913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
말 1
20.0%
뚝 1
20.0%
재 1
20.0%
해 1
20.0%
0 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
80.0%
Decimal Number 1
 
20.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
말 1
25.0%
뚝 1
25.0%
재 1
25.0%
해 1
25.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
80.0%
Common 1
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
말 1
25.0%
뚝 1
25.0%
재 1
25.0%
해 1
25.0%
Common
ValueCountFrequency (%)
0 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
80.0%
ASCII 1
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
말 1
25.0%
뚝 1
25.0%
재 1
25.0%
해 1
25.0%
ASCII
ValueCountFrequency (%)
0 1
100.0%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

Sample

연번등록 번호최초 등록일상 호대표자주소연락처등록업종Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20비고
0<NA><NA><NA><NA><NA><NA><NA>종합설계 ㆍ사업관리<NA><NA>품질검사<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1<NA><NA><NA><NA><NA><NA><NA><NA>일반설계등 용역건설 사업 관리일반토목건축특수<NA><NA><NA><NA><NA><NA><NA>
2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>골재레미콘아스콘철강재섬유용접말뚝재해<NA>
3총계<NA><NA>2929290016850000000000<NA>
412-114-7-9종합건축사사무소 세림㈜박종윤전주시 완산구 전주천서로 473(서신동)<NA><NA><NA><NA>○<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
522-214-7-11㈜목양종합건축사무소김경옥전주시 덕진구 추탄로 38, 3층(덕진동2가)<NA><NA>○<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
632-314-7-11㈜길건축사사무소이길환 박태우전주시 완산구 서곡5길 14-3(효자동3가)<NA><NA><NA><NA>○<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
742-414-7-14㈜세화엔지니어링박석순전주시 완산구 중화산로 68, 404<NA><NA>○<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
852-514-7-17㈜지유엔지니어링김용만익산시 무왕로 1248<NA><NA>○<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
962-614-7-23㈜국성건설엔지니어링박동우전주시 완산구 서신로 57<NA><NA>○<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
연번등록 번호최초 등록일상 호대표자주소연락처등록업종Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20비고
156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
157<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
158<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
159<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
160<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
161<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
162<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
164<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
165<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

연번등록 번호최초 등록일상 호대표자주소연락처등록업종Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>133