Overview

Dataset statistics

Number of variables11
Number of observations131
Missing cells4
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory90.0 B

Variable types

Numeric1
Text7
DateTime1
Categorical2

Dataset

Description대구광역시 달서구 내 공장등록현황에 대한 내용 및 정보가 담겨있음.
Author대구광역시 달서구
URLhttps://www.data.go.kr/data/15060739/fileData.do

Alerts

담당부서 has constant value ""Constant
기준일자 has constant value ""Constant
전화번호 has 4 (3.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:10:33.383050
Analysis finished2023-12-12 00:10:34.229038
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66
Minimum1
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T09:10:34.284095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.5
Q133.5
median66
Q398.5
95-th percentile124.5
Maximum131
Range130
Interquartile range (IQR)65

Descriptive statistics

Standard deviation37.960506
Coefficient of variation (CV)0.57515918
Kurtosis-1.2
Mean66
Median Absolute Deviation (MAD)33
Skewness0
Sum8646
Variance1441
MonotonicityStrictly increasing
2023-12-12T09:10:34.396117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
84 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%

회사명
Text

Distinct129
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T09:10:34.626851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length6.5267176
Min length3

Characters and Unicode

Total characters855
Distinct characters226
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)96.9%

Sample

1st row(주)거창창호시스템
2nd row(주)다산침장
3rd row(주)대림소재
4th row(주)대성엠앤씨
5th row(주)대송창호
ValueCountFrequency (%)
주식회사 7
 
5.0%
주)삼영테크 2
 
1.4%
금농트로닉스(주 2
 
1.4%
삼익thk주식회사 1
 
0.7%
에이치디컴퍼니 1
 
0.7%
사회복지법인 1
 
0.7%
씨앤디(c&d 1
 
0.7%
유성산업 1
 
0.7%
원식품 1
 
0.7%
우정양산 1
 
0.7%
Other values (122) 122
87.1%
2023-12-12T09:10:34.941245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 65
 
7.6%
( 61
 
7.1%
) 61
 
7.1%
이 27
 
3.2%
스 25
 
2.9%
지 14
 
1.6%
사 14
 
1.6%
에 13
 
1.5%
대 13
 
1.5%
업 12
 
1.4%
Other values (216) 550
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 705
82.5%
Open Punctuation 61
 
7.1%
Close Punctuation 61
 
7.1%
Uppercase Letter 13
 
1.5%
Space Separator 9
 
1.1%
Decimal Number 5
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 65
 
9.2%
이 27
 
3.8%
스 25
 
3.5%
지 14
 
2.0%
사 14
 
2.0%
에 13
 
1.8%
대 13
 
1.8%
업 12
 
1.7%
성 12
 
1.7%
텍 12
 
1.7%
Other values (195) 498
70.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
15.4%
B 1
7.7%
L 1
7.7%
C 1
7.7%
D 1
7.7%
K 1
7.7%
G 1
7.7%
N 1
7.7%
E 1
7.7%
F 1
7.7%
Other values (2) 2
15.4%
Decimal Number
ValueCountFrequency (%)
4 1
20.0%
0 1
20.0%
2 1
20.0%
1 1
20.0%
3 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 705
82.5%
Common 137
 
16.0%
Latin 13
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 65
 
9.2%
이 27
 
3.8%
스 25
 
3.5%
지 14
 
2.0%
사 14
 
2.0%
에 13
 
1.8%
대 13
 
1.8%
업 12
 
1.7%
성 12
 
1.7%
텍 12
 
1.7%
Other values (195) 498
70.6%
Latin
ValueCountFrequency (%)
A 2
15.4%
B 1
7.7%
L 1
7.7%
C 1
7.7%
D 1
7.7%
K 1
7.7%
G 1
7.7%
N 1
7.7%
E 1
7.7%
F 1
7.7%
Other values (2) 2
15.4%
Common
ValueCountFrequency (%)
( 61
44.5%
) 61
44.5%
9
 
6.6%
4 1
 
0.7%
0 1
 
0.7%
2 1
 
0.7%
1 1
 
0.7%
3 1
 
0.7%
& 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 705
82.5%
ASCII 150
 
17.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 65
 
9.2%
이 27
 
3.8%
스 25
 
3.5%
지 14
 
2.0%
사 14
 
2.0%
에 13
 
1.8%
대 13
 
1.8%
업 12
 
1.7%
성 12
 
1.7%
텍 12
 
1.7%
Other values (195) 498
70.6%
ASCII
ValueCountFrequency (%)
( 61
40.7%
) 61
40.7%
9
 
6.0%
A 2
 
1.3%
4 1
 
0.7%
0 1
 
0.7%
2 1
 
0.7%
B 1
 
0.7%
1 1
 
0.7%
L 1
 
0.7%
Other values (11) 11
 
7.3%

대표자명
Text

Distinct129
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T09:10:35.233243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0687023
Min length2

Characters and Unicode

Total characters402
Distinct characters124
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)96.9%

Sample

1st row송승옥
2nd row최선숙
3rd row이계종
4th row김익형
5th row윤정록
ValueCountFrequency (%)
최선미 2
 
1.5%
김정 2
 
1.5%
손제익 1
 
0.7%
김성출 1
 
0.7%
이정훈 1
 
0.7%
김우현 1
 
0.7%
신종우 1
 
0.7%
정병칠 1
 
0.7%
장정보 1
 
0.7%
배은득 1
 
0.7%
Other values (122) 122
91.0%
2023-12-12T09:10:35.630569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 19
 
4.7%
이 16
 
4.0%
성 15
 
3.7%
정 14
 
3.5%
박 12
 
3.0%
종 11
 
2.7%
장 11
 
2.7%
호 9
 
2.2%
최 8
 
2.0%
석 8
 
2.0%
Other values (114) 279
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
98.5%
Space Separator 3
 
0.7%
Decimal Number 2
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 19
 
4.8%
이 16
 
4.0%
성 15
 
3.8%
정 14
 
3.5%
박 12
 
3.0%
종 11
 
2.8%
장 11
 
2.8%
호 9
 
2.3%
최 8
 
2.0%
석 8
 
2.0%
Other values (111) 273
68.9%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
98.5%
Common 6
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 19
 
4.8%
이 16
 
4.0%
성 15
 
3.8%
정 14
 
3.5%
박 12
 
3.0%
종 11
 
2.8%
장 11
 
2.8%
호 9
 
2.3%
최 8
 
2.0%
석 8
 
2.0%
Other values (111) 273
68.9%
Common
ValueCountFrequency (%)
3
50.0%
1 2
33.3%
, 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
98.5%
ASCII 6
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 19
 
4.8%
이 16
 
4.0%
성 15
 
3.8%
정 14
 
3.5%
박 12
 
3.0%
종 11
 
2.8%
장 11
 
2.8%
호 9
 
2.3%
최 8
 
2.0%
석 8
 
2.0%
Other values (111) 273
68.9%
ASCII
ValueCountFrequency (%)
3
50.0%
1 2
33.3%
, 1
 
16.7%

최초등록일
Date

Distinct126
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1990-10-11 00:00:00
Maximum2021-01-13 00:00:00
2023-12-12T09:10:36.054008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:10:36.186394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공장대표주소_도로명
Text

Distinct130
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T09:10:36.483905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length28.366412
Min length20

Characters and Unicode

Total characters3716
Distinct characters109
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)98.5%

Sample

1st row대구광역시 달서구 문화회관6길 80 (장기동)
2nd row대구광역시 달서구 월배로11길 28 (대천동)
3rd row대구광역시 달서구 문화회관5길 32 (장기동)
4th row대구광역시 달서구 중흥로 20, 중소기업성장지원센터 202호, B03호 (송현동)
5th row대구광역시 달서구 월곡로35길 7 (상인동)
ValueCountFrequency (%)
대구광역시 131
 
17.5%
달서구 131
 
17.5%
송현동 25
 
3.3%
장기동 24
 
3.2%
월성동 16
 
2.1%
장동 15
 
2.0%
중흥로 9
 
1.2%
1층 8
 
1.1%
문화회관5길 8
 
1.1%
2층 8
 
1.1%
Other values (219) 372
49.8%
2023-12-12T09:10:36.962797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
624
 
16.8%
구 276
 
7.4%
대 152
 
4.1%
서 149
 
4.0%
동 142
 
3.8%
달 138
 
3.7%
시 132
 
3.6%
) 131
 
3.5%
( 131
 
3.5%
역 131
 
3.5%
Other values (99) 1710
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2202
59.3%
Space Separator 624
 
16.8%
Decimal Number 558
 
15.0%
Close Punctuation 131
 
3.5%
Open Punctuation 131
 
3.5%
Other Punctuation 49
 
1.3%
Dash Punctuation 16
 
0.4%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 276
 
12.5%
대 152
 
6.9%
서 149
 
6.8%
동 142
 
6.4%
달 138
 
6.3%
시 132
 
6.0%
역 131
 
5.9%
광 131
 
5.9%
로 94
 
4.3%
길 87
 
4.0%
Other values (83) 770
35.0%
Decimal Number
ValueCountFrequency (%)
1 97
17.4%
2 91
16.3%
3 72
12.9%
0 66
11.8%
5 50
9.0%
4 49
8.8%
7 42
7.5%
6 39
7.0%
9 29
 
5.2%
8 23
 
4.1%
Space Separator
ValueCountFrequency (%)
624
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2202
59.3%
Common 1509
40.6%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 276
 
12.5%
대 152
 
6.9%
서 149
 
6.8%
동 142
 
6.4%
달 138
 
6.3%
시 132
 
6.0%
역 131
 
5.9%
광 131
 
5.9%
로 94
 
4.3%
길 87
 
4.0%
Other values (83) 770
35.0%
Common
ValueCountFrequency (%)
624
41.4%
) 131
 
8.7%
( 131
 
8.7%
1 97
 
6.4%
2 91
 
6.0%
3 72
 
4.8%
0 66
 
4.4%
5 50
 
3.3%
4 49
 
3.2%
, 49
 
3.2%
Other values (5) 149
 
9.9%
Latin
ValueCountFrequency (%)
B 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2202
59.3%
ASCII 1514
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
624
41.2%
) 131
 
8.7%
( 131
 
8.7%
1 97
 
6.4%
2 91
 
6.0%
3 72
 
4.8%
0 66
 
4.4%
5 50
 
3.3%
4 49
 
3.2%
, 49
 
3.2%
Other values (6) 154
 
10.2%
Hangul
ValueCountFrequency (%)
구 276
 
12.5%
대 152
 
6.9%
서 149
 
6.8%
동 142
 
6.4%
달 138
 
6.3%
시 132
 
6.0%
역 131
 
5.9%
광 131
 
5.9%
로 94
 
4.3%
길 87
 
4.0%
Other values (83) 770
35.0%

공장대표주소_지번
Text

Distinct130
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T09:10:37.158119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length23.870229
Min length17

Characters and Unicode

Total characters3127
Distinct characters80
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)98.5%

Sample

1st row대구광역시 달서구 장기동 653번지
2nd row대구광역시 달서구 대천동 474 번지
3rd row대구광역시 달서구 장기동 636-2번지
4th row대구광역시 달서구 송현동 2003-18번지 중소기업성장지원센터 202호, B03호
5th row대구광역시 달서구 상인동 1107-5
ValueCountFrequency (%)
대구광역시 131
21.4%
달서구 131
21.4%
송현동 25
 
4.1%
장기동 24
 
3.9%
월성동 16
 
2.6%
장동 16
 
2.6%
1층 8
 
1.3%
본동 7
 
1.1%
외 7
 
1.1%
두류동 6
 
1.0%
Other values (171) 242
39.5%
2023-12-12T09:10:37.499411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
514
16.4%
구 267
 
8.5%
대 144
 
4.6%
1 142
 
4.5%
지 138
 
4.4%
동 135
 
4.3%
서 133
 
4.3%
시 132
 
4.2%
역 131
 
4.2%
광 131
 
4.2%
Other values (70) 1260
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1859
59.4%
Decimal Number 640
 
20.5%
Space Separator 514
 
16.4%
Dash Punctuation 103
 
3.3%
Uppercase Letter 5
 
0.2%
Other Punctuation 4
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 267
14.4%
대 144
 
7.7%
지 138
 
7.4%
동 135
 
7.3%
서 133
 
7.2%
시 132
 
7.1%
역 131
 
7.0%
광 131
 
7.0%
달 131
 
7.0%
번 120
 
6.5%
Other values (54) 397
21.4%
Decimal Number
ValueCountFrequency (%)
1 142
22.2%
2 81
12.7%
0 77
12.0%
6 66
10.3%
3 62
9.7%
4 51
 
8.0%
7 48
 
7.5%
8 44
 
6.9%
9 41
 
6.4%
5 28
 
4.4%
Space Separator
ValueCountFrequency (%)
514
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 103
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1859
59.4%
Common 1263
40.4%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 267
14.4%
대 144
 
7.7%
지 138
 
7.4%
동 135
 
7.3%
서 133
 
7.2%
시 132
 
7.1%
역 131
 
7.0%
광 131
 
7.0%
달 131
 
7.0%
번 120
 
6.5%
Other values (54) 397
21.4%
Common
ValueCountFrequency (%)
514
40.7%
1 142
 
11.2%
- 103
 
8.2%
2 81
 
6.4%
0 77
 
6.1%
6 66
 
5.2%
3 62
 
4.9%
4 51
 
4.0%
7 48
 
3.8%
8 44
 
3.5%
Other values (5) 75
 
5.9%
Latin
ValueCountFrequency (%)
B 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1859
59.4%
ASCII 1268
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
514
40.5%
1 142
 
11.2%
- 103
 
8.1%
2 81
 
6.4%
0 77
 
6.1%
6 66
 
5.2%
3 62
 
4.9%
4 51
 
4.0%
7 48
 
3.8%
8 44
 
3.5%
Other values (6) 80
 
6.3%
Hangul
ValueCountFrequency (%)
구 267
14.4%
대 144
 
7.7%
지 138
 
7.4%
동 135
 
7.3%
서 133
 
7.2%
시 132
 
7.1%
역 131
 
7.0%
광 131
 
7.0%
달 131
 
7.0%
번 120
 
6.5%
Other values (54) 397
21.4%

업종명
Text

Distinct100
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T09:10:37.804655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length17.343511
Min length6

Characters and Unicode

Total characters2272
Distinct characters191
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)61.1%

Sample

1st row금속 문, 창, 셔터 및 관련제품 제조업
2nd row침구 및 관련제품 제조업
3rd row합성수지 및 기타 플라스틱 물질 제조업
4th row기타 무선 통신장비 제조업 외 5 종
5th row금속 문, 창, 셔터 및 관련제품 제조업
ValueCountFrequency (%)
제조업 122
16.5%
외 74
 
10.0%
및 64
 
8.7%
종 58
 
7.8%
1 36
 
4.9%
기타 35
 
4.7%
그 16
 
2.2%
관련제품 11
 
1.5%
금속 10
 
1.4%
전기 10
 
1.4%
Other values (167) 303
41.0%
2023-12-12T09:10:38.378737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
608
26.8%
제 164
 
7.2%
업 136
 
6.0%
조 134
 
5.9%
기 81
 
3.6%
외 76
 
3.3%
및 64
 
2.8%
종 59
 
2.6%
품 41
 
1.8%
1 38
 
1.7%
Other values (181) 871
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1581
69.6%
Space Separator 608
 
26.8%
Decimal Number 60
 
2.6%
Other Punctuation 21
 
0.9%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 164
 
10.4%
업 136
 
8.6%
조 134
 
8.5%
기 81
 
5.1%
외 76
 
4.8%
및 64
 
4.0%
종 59
 
3.7%
품 41
 
2.6%
타 37
 
2.3%
용 34
 
2.2%
Other values (171) 755
47.8%
Decimal Number
ValueCountFrequency (%)
1 38
63.3%
2 7
 
11.7%
7 5
 
8.3%
3 4
 
6.7%
4 4
 
6.7%
5 2
 
3.3%
Space Separator
ValueCountFrequency (%)
608
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1581
69.6%
Common 691
30.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 164
 
10.4%
업 136
 
8.6%
조 134
 
8.5%
기 81
 
5.1%
외 76
 
4.8%
및 64
 
4.0%
종 59
 
3.7%
품 41
 
2.6%
타 37
 
2.3%
용 34
 
2.2%
Other values (171) 755
47.8%
Common
ValueCountFrequency (%)
608
88.0%
1 38
 
5.5%
, 21
 
3.0%
2 7
 
1.0%
7 5
 
0.7%
3 4
 
0.6%
4 4
 
0.6%
5 2
 
0.3%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1581
69.6%
ASCII 691
30.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
608
88.0%
1 38
 
5.5%
, 21
 
3.0%
2 7
 
1.0%
7 5
 
0.7%
3 4
 
0.6%
4 4
 
0.6%
5 2
 
0.3%
( 1
 
0.1%
) 1
 
0.1%
Hangul
ValueCountFrequency (%)
제 164
 
10.4%
업 136
 
8.6%
조 134
 
8.5%
기 81
 
5.1%
외 76
 
4.8%
및 64
 
4.0%
종 59
 
3.7%
품 41
 
2.6%
타 37
 
2.3%
용 34
 
2.2%
Other values (171) 755
47.8%

생산품
Text

Distinct122
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T09:10:38.641980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length19
Mean length9.1450382
Min length2

Characters and Unicode

Total characters1198
Distinct characters291
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)88.5%

Sample

1st row스틸커튼월 및 방화유리창
2nd row침구류
3rd row마스타밧치
4th row인터렉티브화이트보드, 스마트컨트롤러, 무선통신모듈장치 등
5th row고기밀성 단열창호
ValueCountFrequency (%)
등 11
 
4.2%
및 11
 
4.2%
커튼 6
 
2.3%
셔츠 4
 
1.5%
마스크 3
 
1.1%
외 3
 
1.1%
자동제어반 3
 
1.1%
침구류 3
 
1.1%
사무컴퓨터 2
 
0.8%
조립식구조물 2
 
0.8%
Other values (203) 213
81.6%
2023-12-12T09:10:39.053616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
11.0%
, 62
 
5.2%
기 36
 
3.0%
장 20
 
1.7%
자 20
 
1.7%
조 16
 
1.3%
치 16
 
1.3%
제 15
 
1.3%
스 15
 
1.3%
대 14
 
1.2%
Other values (281) 852
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 914
76.3%
Space Separator 132
 
11.0%
Other Punctuation 64
 
5.3%
Uppercase Letter 57
 
4.8%
Lowercase Letter 15
 
1.3%
Open Punctuation 7
 
0.6%
Close Punctuation 7
 
0.6%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 36
 
3.9%
장 20
 
2.2%
자 20
 
2.2%
조 16
 
1.8%
치 16
 
1.8%
제 15
 
1.6%
스 15
 
1.6%
대 14
 
1.5%
동 14
 
1.5%
등 13
 
1.4%
Other values (250) 735
80.4%
Uppercase Letter
ValueCountFrequency (%)
C 12
21.1%
T 7
12.3%
E 7
12.3%
V 5
8.8%
D 4
 
7.0%
L 4
 
7.0%
P 3
 
5.3%
O 3
 
5.3%
A 3
 
5.3%
S 2
 
3.5%
Other values (6) 7
12.3%
Lowercase Letter
ValueCountFrequency (%)
r 3
20.0%
o 3
20.0%
f 2
13.3%
s 2
13.3%
e 1
 
6.7%
p 1
 
6.7%
m 1
 
6.7%
i 1
 
6.7%
n 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 62
96.9%
. 2
 
3.1%
Space Separator
ValueCountFrequency (%)
132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 914
76.3%
Common 212
 
17.7%
Latin 72
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 36
 
3.9%
장 20
 
2.2%
자 20
 
2.2%
조 16
 
1.8%
치 16
 
1.8%
제 15
 
1.6%
스 15
 
1.6%
대 14
 
1.5%
동 14
 
1.5%
등 13
 
1.4%
Other values (250) 735
80.4%
Latin
ValueCountFrequency (%)
C 12
16.7%
T 7
 
9.7%
E 7
 
9.7%
V 5
 
6.9%
D 4
 
5.6%
L 4
 
5.6%
P 3
 
4.2%
O 3
 
4.2%
A 3
 
4.2%
r 3
 
4.2%
Other values (15) 21
29.2%
Common
ValueCountFrequency (%)
132
62.3%
, 62
29.2%
( 7
 
3.3%
) 7
 
3.3%
. 2
 
0.9%
- 2
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 914
76.3%
ASCII 284
 
23.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
46.5%
, 62
21.8%
C 12
 
4.2%
T 7
 
2.5%
( 7
 
2.5%
) 7
 
2.5%
E 7
 
2.5%
V 5
 
1.8%
D 4
 
1.4%
L 4
 
1.4%
Other values (21) 37
 
13.0%
Hangul
ValueCountFrequency (%)
기 36
 
3.9%
장 20
 
2.2%
자 20
 
2.2%
조 16
 
1.8%
치 16
 
1.8%
제 15
 
1.6%
스 15
 
1.6%
대 14
 
1.5%
동 14
 
1.5%
등 13
 
1.4%
Other values (250) 735
80.4%

전화번호
Text

MISSING 

Distinct124
Distinct (%)97.6%
Missing4
Missing (%)3.1%
Memory size1.2 KiB
2023-12-12T09:10:39.317107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.03937
Min length9

Characters and Unicode

Total characters1529
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

Unique121 ?
Unique (%)95.3%

Sample

1st row053-959-4255
2nd row053-634-5822
3rd row053-581-3745
4th row053-571-3766
5th row053-657-7007
ValueCountFrequency (%)
053-633-1836 2
 
1.6%
053-657-1403 2
 
1.6%
053-587-6300 2
 
1.6%
053-581-4808 1
 
0.8%
053-638-3318 1
 
0.8%
053-627-5898 1
 
0.8%
053-644-0479 1
 
0.8%
053-586-9500 1
 
0.8%
070-7520-9415 1
 
0.8%
053-627-2388 1
 
0.8%
Other values (114) 114
89.8%
2023-12-12T09:10:39.724422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 252
16.5%
5 248
16.2%
0 233
15.2%
3 205
13.4%
8 112
7.3%
6 106
6.9%
2 97
 
6.3%
7 84
 
5.5%
1 72
 
4.7%
4 64
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1277
83.5%
Dash Punctuation 252
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 248
19.4%
0 233
18.2%
3 205
16.1%
8 112
8.8%
6 106
8.3%
2 97
 
7.6%
7 84
 
6.6%
1 72
 
5.6%
4 64
 
5.0%
9 56
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 252
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1529
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 252
16.5%
5 248
16.2%
0 233
15.2%
3 205
13.4%
8 112
7.3%
6 106
6.9%
2 97
 
6.3%
7 84
 
5.5%
1 72
 
4.7%
4 64
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1529
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 252
16.5%
5 248
16.2%
0 233
15.2%
3 205
13.4%
8 112
7.3%
6 106
6.9%
2 97
 
6.3%
7 84
 
5.5%
1 72
 
4.7%
4 64
 
4.2%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
대구광역시 달서구 경제지원과
131 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 달서구 경제지원과
2nd row대구광역시 달서구 경제지원과
3rd row대구광역시 달서구 경제지원과
4th row대구광역시 달서구 경제지원과
5th row대구광역시 달서구 경제지원과

Common Values

ValueCountFrequency (%)
대구광역시 달서구 경제지원과 131
100.0%

Length

2023-12-12T09:10:39.866146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:10:39.960357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 131
33.3%
달서구 131
33.3%
경제지원과 131
33.3%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2021-01-20
131 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-01-20
2nd row2021-01-20
3rd row2021-01-20
4th row2021-01-20
5th row2021-01-20

Common Values

ValueCountFrequency (%)
2021-01-20 131
100.0%

Length

2023-12-12T09:10:40.071852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:10:40.200100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-01-20 131
100.0%

Interactions

2023-12-12T09:10:33.972177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:10:40.272789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.731
업종명0.7311.000

Missing values

2023-12-12T09:10:34.063216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:10:34.182038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번회사명대표자명최초등록일공장대표주소_도로명공장대표주소_지번업종명생산품전화번호담당부서기준일자
01(주)거창창호시스템송승옥2018-06-22대구광역시 달서구 문화회관6길 80 (장기동)대구광역시 달서구 장기동 653번지금속 문, 창, 셔터 및 관련제품 제조업스틸커튼월 및 방화유리창053-959-4255대구광역시 달서구 경제지원과2021-01-20
12(주)다산침장최선숙2011-01-13대구광역시 달서구 월배로11길 28 (대천동)대구광역시 달서구 대천동 474 번지침구 및 관련제품 제조업침구류053-634-5822대구광역시 달서구 경제지원과2021-01-20
23(주)대림소재이계종2012-06-18대구광역시 달서구 문화회관5길 32 (장기동)대구광역시 달서구 장기동 636-2번지합성수지 및 기타 플라스틱 물질 제조업마스타밧치053-581-3745대구광역시 달서구 경제지원과2021-01-20
34(주)대성엠앤씨김익형2015-10-28대구광역시 달서구 중흥로 20, 중소기업성장지원센터 202호, B03호 (송현동)대구광역시 달서구 송현동 2003-18번지 중소기업성장지원센터 202호, B03호기타 무선 통신장비 제조업 외 5 종인터렉티브화이트보드, 스마트컨트롤러, 무선통신모듈장치 등053-571-3766대구광역시 달서구 경제지원과2021-01-20
45(주)대송창호윤정록2011-12-27대구광역시 달서구 월곡로35길 7 (상인동)대구광역시 달서구 상인동 1107-5금속 문, 창, 셔터 및 관련제품 제조업고기밀성 단열창호053-657-7007대구광역시 달서구 경제지원과2021-01-20
56(주)대주기계이재형2006-07-28대구광역시 달서구 성서동로 149 (월암동) (총 5 필지) 외 4필지대구광역시 달서구 월암동 1028번지 외 4필지기체 펌프 및 압축기 제조업Air Compressor 외 CDA장비053-601-7006대구광역시 달서구 경제지원과2021-01-20
67(주)덴탈릭스최종훈2017-08-22대구광역시 달서구 문화회관8길 12 (장동)대구광역시 달서구 장동 18-5번지정형외과용 및 신체보정용 기기 제조업치과용 임플란트 상부구조물053-353-2845대구광역시 달서구 경제지원과2021-01-20
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