Overview

Dataset statistics

Number of variables12
Number of observations120
Missing cells5
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.7 KiB
Average record size in memory100.1 B

Variable types

Numeric3
Text6
DateTime1
Categorical2

Dataset

Description구내 옥외광고물(간판, 현수막 등)을 제작 및 취급하는 업체에 대한 정보가 실려있음.간판이나 현수막 필요시 참고할 수 있음.
Author대구광역시 달서구
URLhttps://www.data.go.kr/data/15078511/fileData.do

Alerts

관리부서 has constant value ""Constant
기준일자 has constant value ""Constant
영업내용 has 5 (4.2%) missing valuesMissing
순번 has unique valuesUnique
인허가번호 has unique valuesUnique
영업장도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:42:23.335359
Analysis finished2023-12-13 00:42:24.561058
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

Distinct118
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.838938
Minimum35.806125
Maximum35.861456
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T09:42:24.629857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.806125
5-th percentile35.811355
Q135.828419
median35.840253
Q335.853083
95-th percentile35.858577
Maximum35.861456
Range0.05533082
Interquartile range (IQR)0.024664575

Descriptive statistics

Standard deviation0.01615715
Coefficient of variation (CV)0.0004508267
Kurtosis-1.0424106
Mean35.838938
Median Absolute Deviation (MAD)0.01251322
Skewness-0.47700145
Sum4300.6725
Variance0.00026105349
MonotonicityNot monotonic
2023-12-13T09:42:24.739204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.83668907 2
 
1.7%
35.83628905 2
 
1.7%
35.843293 1
 
0.8%
35.85975082 1
 
0.8%
35.82847084 1
 
0.8%
35.84676138 1
 
0.8%
35.84620221 1
 
0.8%
35.8327768 1
 
0.8%
35.81866168 1
 
0.8%
35.85328715 1
 
0.8%
Other values (108) 108
90.0%
ValueCountFrequency (%)
35.80612544 1
0.8%
35.8066123 1
0.8%
35.80954045 1
0.8%
35.81056738 1
0.8%
35.81092002 1
0.8%
35.81129683 1
0.8%
35.81135759 1
0.8%
35.8113905 1
0.8%
35.81194933 1
0.8%
35.81233561 1
0.8%
ValueCountFrequency (%)
35.86145626 1
0.8%
35.86134061 1
0.8%
35.85975082 1
0.8%
35.85945265 1
0.8%
35.85945104 1
0.8%
35.85895374 1
0.8%
35.85855726 1
0.8%
35.85855637 1
0.8%
35.85852587 1
0.8%
35.85812707 1
0.8%

경도
Real number (ℝ)

Distinct119
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.53175
Minimum128.47689
Maximum128.62696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T09:42:24.838173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47689
5-th percentile128.49083
Q1128.51858
median128.53659
Q3128.54772
95-th percentile128.56237
Maximum128.62696
Range0.1500721
Interquartile range (IQR)0.029139675

Descriptive statistics

Standard deviation0.024184975
Coefficient of variation (CV)0.00018816344
Kurtosis1.0049978
Mean128.53175
Median Absolute Deviation (MAD)0.01312975
Skewness0.011100632
Sum15423.81
Variance0.00058491303
MonotonicityNot monotonic
2023-12-13T09:42:24.943068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4878328 2
 
1.7%
128.5540521 1
 
0.8%
128.4894838 1
 
0.8%
128.5366175 1
 
0.8%
128.4987502 1
 
0.8%
128.5588629 1
 
0.8%
128.5406146 1
 
0.8%
128.5366808 1
 
0.8%
128.5377081 1
 
0.8%
128.5377676 1
 
0.8%
Other values (109) 109
90.8%
ValueCountFrequency (%)
128.4768862 1
0.8%
128.4843004 1
0.8%
128.4863983 1
0.8%
128.4878328 2
1.7%
128.4894838 1
0.8%
128.4909032 1
0.8%
128.4924875 1
0.8%
128.4925018 1
0.8%
128.4942441 1
0.8%
128.4946849 1
0.8%
ValueCountFrequency (%)
128.6269583 1
0.8%
128.5741244 1
0.8%
128.5727308 1
0.8%
128.571918 1
0.8%
128.5700826 1
0.8%
128.5638011 1
0.8%
128.5622985 1
0.8%
128.5588629 1
0.8%
128.558504 1
0.8%
128.5576025 1
0.8%

순번
Real number (ℝ)

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.5
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T09:42:25.051286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.95
Q130.75
median60.5
Q390.25
95-th percentile114.05
Maximum120
Range119
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation34.785054
Coefficient of variation (CV)0.57495957
Kurtosis-1.2
Mean60.5
Median Absolute Deviation (MAD)30
Skewness0
Sum7260
Variance1210
MonotonicityStrictly increasing
2023-12-13T09:42:25.189089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
62 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
Other values (110) 110
91.7%
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 (%)
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%

인허가번호
Text

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T09:42:25.372344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters2760
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

Unique120 ?
Unique (%)100.0%

Sample

1st row2023-3470191-08-5-00004
2nd row2023-3470191-08-5-00002
3rd row2017-3470169-08-5-00002
4th row2023-3470191-08-5-00003
5th row2009-3470071-08-5-00001
ValueCountFrequency (%)
2023-3470191-08-5-00004 1
 
0.8%
2023-3470191-08-5-00002 1
 
0.8%
2010-3470071-08-5-00009 1
 
0.8%
2015-3470157-08-5-00003 1
 
0.8%
2008-3470071-08-5-00002 1
 
0.8%
2014-3470071-08-5-00003 1
 
0.8%
2011-3470071-08-5-00002 1
 
0.8%
2018-3470169-08-5-00005 1
 
0.8%
2003-3470071-08-2-00006 1
 
0.8%
2019-3470169-08-5-00002 1
 
0.8%
Other values (110) 110
91.7%
2023-12-13T09:42:25.648909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 934
33.8%
- 480
17.4%
2 218
 
7.9%
1 217
 
7.9%
7 188
 
6.8%
3 165
 
6.0%
8 149
 
5.4%
4 140
 
5.1%
9 116
 
4.2%
5 101
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2280
82.6%
Dash Punctuation 480
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 934
41.0%
2 218
 
9.6%
1 217
 
9.5%
7 188
 
8.2%
3 165
 
7.2%
8 149
 
6.5%
4 140
 
6.1%
9 116
 
5.1%
5 101
 
4.4%
6 52
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2760
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 934
33.8%
- 480
17.4%
2 218
 
7.9%
1 217
 
7.9%
7 188
 
6.8%
3 165
 
6.0%
8 149
 
5.4%
4 140
 
5.1%
9 116
 
4.2%
5 101
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 934
33.8%
- 480
17.4%
2 218
 
7.9%
1 217
 
7.9%
7 188
 
6.8%
3 165
 
6.0%
8 149
 
5.4%
4 140
 
5.1%
9 116
 
4.2%
5 101
 
3.7%

등록연월일
Date

Distinct112
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1991-02-26 00:00:00
Maximum2023-02-13 00:00:00
2023-12-13T09:42:25.760152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:42:25.861312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct119
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T09:42:26.078059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length5.4
Min length2

Characters and Unicode

Total characters648
Distinct characters169
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

Unique118 ?
Unique (%)98.3%

Sample

1st row유니크디자인
2nd row에스앤제이컴퍼니
3rd row정현애드디자인
4th row제이디코
5th row다이스
ValueCountFrequency (%)
세진디자인 2
 
1.5%
유니크디자인 1
 
0.8%
금강애드 1
 
0.8%
드림광고 1
 
0.8%
주)미디어엠 1
 
0.8%
포시즌 1
 
0.8%
주)미디어 1
 
0.8%
광고공사스카이 1
 
0.8%
주)예진 1
 
0.8%
주)에이스텍디피 1
 
0.8%
Other values (119) 119
91.5%
2023-12-13T09:42:26.408508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 46
 
7.1%
광 45
 
6.9%
디 29
 
4.5%
사 26
 
4.0%
인 26
 
4.0%
드 23
 
3.5%
자 21
 
3.2%
스 18
 
2.8%
이 17
 
2.6%
애 16
 
2.5%
Other values (159) 381
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 604
93.2%
Close Punctuation 11
 
1.7%
Open Punctuation 11
 
1.7%
Space Separator 10
 
1.5%
Uppercase Letter 9
 
1.4%
Lowercase Letter 2
 
0.3%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 46
 
7.6%
광 45
 
7.5%
디 29
 
4.8%
사 26
 
4.3%
인 26
 
4.3%
드 23
 
3.8%
자 21
 
3.5%
스 18
 
3.0%
이 17
 
2.8%
애 16
 
2.6%
Other values (147) 337
55.8%
Uppercase Letter
ValueCountFrequency (%)
I 2
22.2%
N 2
22.2%
D 2
22.2%
J 1
11.1%
G 1
11.1%
S 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
b 1
50.0%
o 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 604
93.2%
Common 33
 
5.1%
Latin 11
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 46
 
7.6%
광 45
 
7.5%
디 29
 
4.8%
사 26
 
4.3%
인 26
 
4.3%
드 23
 
3.8%
자 21
 
3.5%
스 18
 
3.0%
이 17
 
2.8%
애 16
 
2.6%
Other values (147) 337
55.8%
Latin
ValueCountFrequency (%)
I 2
18.2%
N 2
18.2%
D 2
18.2%
b 1
9.1%
o 1
9.1%
J 1
9.1%
G 1
9.1%
S 1
9.1%
Common
ValueCountFrequency (%)
) 11
33.3%
( 11
33.3%
10
30.3%
3 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 604
93.2%
ASCII 44
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
고 46
 
7.6%
광 45
 
7.5%
디 29
 
4.8%
사 26
 
4.3%
인 26
 
4.3%
드 23
 
3.8%
자 21
 
3.5%
스 18
 
3.0%
이 17
 
2.8%
애 16
 
2.6%
Other values (147) 337
55.8%
ASCII
ValueCountFrequency (%)
) 11
25.0%
( 11
25.0%
10
22.7%
I 2
 
4.5%
N 2
 
4.5%
D 2
 
4.5%
3 1
 
2.3%
b 1
 
2.3%
o 1
 
2.3%
J 1
 
2.3%
Other values (2) 2
 
4.5%

영업장전화번호
Text

Distinct91
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T09:42:26.610267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.008333
Min length12

Characters and Unicode

Total characters1441
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

Unique90 ?
Unique (%)75.0%

Sample

1st row000-000-0000
2nd row000-000-0000
3rd row000-000-0000
4th row000-000-0000
5th row053-629-6514
ValueCountFrequency (%)
000-000-0000 30
 
25.0%
053-655-2100 1
 
0.8%
053-581-7146 1
 
0.8%
053-526-0444 1
 
0.8%
053-551-6280 1
 
0.8%
053-627-4661 1
 
0.8%
053-566-6319 1
 
0.8%
053-551-8987 1
 
0.8%
053-585-3104 1
 
0.8%
053-621-0621 1
 
0.8%
Other values (81) 81
67.5%
2023-12-13T09:42:26.913476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 433
30.0%
- 240
16.7%
5 202
14.0%
3 144
 
10.0%
6 90
 
6.2%
2 69
 
4.8%
4 64
 
4.4%
1 62
 
4.3%
8 58
 
4.0%
7 41
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1201
83.3%
Dash Punctuation 240
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 433
36.1%
5 202
16.8%
3 144
 
12.0%
6 90
 
7.5%
2 69
 
5.7%
4 64
 
5.3%
1 62
 
5.2%
8 58
 
4.8%
7 41
 
3.4%
9 38
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1441
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 433
30.0%
- 240
16.7%
5 202
14.0%
3 144
 
10.0%
6 90
 
6.2%
2 69
 
4.8%
4 64
 
4.4%
1 62
 
4.3%
8 58
 
4.0%
7 41
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1441
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 433
30.0%
- 240
16.7%
5 202
14.0%
3 144
 
10.0%
6 90
 
6.2%
2 69
 
4.8%
4 64
 
4.4%
1 62
 
4.3%
8 58
 
4.0%
7 41
 
2.8%

영업장도로명주소
Text

UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T09:42:27.168823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length25.933333
Min length17

Characters and Unicode

Total characters3112
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

Unique120 ?
Unique (%)100.0%

Sample

1st row대구광역시 달서구 장기로 60, 1층 (성당동)
2nd row대구광역시 달서구 월배로 213, 1층 (상인동)
3rd row대구광역시 달서구 달구벌대로240길 11, A동 1층 (신당동)
4th row대구광역시 수성구 동대구로6길 59, 101호 (지산동)
5th row대구광역시 달서구 상화북로 210 (상인동)
ValueCountFrequency (%)
대구광역시 120
 
19.0%
달서구 118
 
18.7%
상인동 19
 
3.0%
감삼동 12
 
1.9%
신당동 12
 
1.9%
1층 11
 
1.7%
죽전동 11
 
1.7%
두류동 7
 
1.1%
송현동 7
 
1.1%
성당동 7
 
1.1%
Other values (213) 306
48.6%
2023-12-13T09:42:27.509704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
510
 
16.4%
구 250
 
8.0%
서 141
 
4.5%
대 132
 
4.2%
달 126
 
4.0%
1 124
 
4.0%
동 123
 
4.0%
시 121
 
3.9%
광 121
 
3.9%
역 120
 
3.9%
Other values (99) 1344
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1862
59.8%
Space Separator 510
 
16.4%
Decimal Number 457
 
14.7%
Close Punctuation 116
 
3.7%
Open Punctuation 116
 
3.7%
Other Punctuation 29
 
0.9%
Dash Punctuation 18
 
0.6%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 250
13.4%
서 141
 
7.6%
대 132
 
7.1%
달 126
 
6.8%
동 123
 
6.6%
시 121
 
6.5%
광 121
 
6.5%
역 120
 
6.4%
로 108
 
5.8%
길 73
 
3.9%
Other values (80) 547
29.4%
Decimal Number
ValueCountFrequency (%)
1 124
27.1%
2 59
12.9%
7 44
 
9.6%
5 41
 
9.0%
6 39
 
8.5%
0 38
 
8.3%
9 37
 
8.1%
3 34
 
7.4%
4 28
 
6.1%
8 13
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
J 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
510
100.0%
Close Punctuation
ValueCountFrequency (%)
) 116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 116
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1862
59.8%
Common 1246
40.0%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 250
13.4%
서 141
 
7.6%
대 132
 
7.1%
달 126
 
6.8%
동 123
 
6.6%
시 121
 
6.5%
광 121
 
6.5%
역 120
 
6.4%
로 108
 
5.8%
길 73
 
3.9%
Other values (80) 547
29.4%
Common
ValueCountFrequency (%)
510
40.9%
1 124
 
10.0%
) 116
 
9.3%
( 116
 
9.3%
2 59
 
4.7%
7 44
 
3.5%
5 41
 
3.3%
6 39
 
3.1%
0 38
 
3.0%
9 37
 
3.0%
Other values (5) 122
 
9.8%
Latin
ValueCountFrequency (%)
J 1
25.0%
M 1
25.0%
C 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1862
59.8%
ASCII 1250
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
510
40.8%
1 124
 
9.9%
) 116
 
9.3%
( 116
 
9.3%
2 59
 
4.7%
7 44
 
3.5%
5 41
 
3.3%
6 39
 
3.1%
0 38
 
3.0%
9 37
 
3.0%
Other values (9) 126
 
10.1%
Hangul
ValueCountFrequency (%)
구 250
13.4%
서 141
 
7.6%
대 132
 
7.1%
달 126
 
6.8%
동 123
 
6.6%
시 121
 
6.5%
광 121
 
6.5%
역 120
 
6.4%
로 108
 
5.8%
길 73
 
3.9%
Other values (80) 547
29.4%

영업장주소
Text

Distinct119
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T09:42:27.788813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length23.991667
Min length18

Characters and Unicode

Total characters2879
Distinct characters68
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)98.3%

Sample

1st row대구광역시 달서구 성당동 643번지 3호
2nd row대구광역시 달서구 상인동 76-10
3rd row대구광역시 달서구 상인동 1546번지 8호
4th row대구광역시 수성구 지산동 1035-9
5th row대구광역시 달서구 상인동 1428번지 10호
ValueCountFrequency (%)
대구광역시 120
20.7%
달서구 118
20.3%
상인동 21
 
3.6%
1호 16
 
2.8%
감삼동 12
 
2.1%
죽전동 12
 
2.1%
신당동 10
 
1.7%
3호 8
 
1.4%
4호 8
 
1.4%
성당동 8
 
1.4%
Other values (160) 247
42.6%
2023-12-13T09:42:28.398646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
667
23.2%
구 240
 
8.3%
1 131
 
4.6%
대 124
 
4.3%
동 122
 
4.2%
시 121
 
4.2%
광 121
 
4.2%
역 120
 
4.2%
달 118
 
4.1%
서 118
 
4.1%
Other values (58) 997
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1641
57.0%
Space Separator 667
23.2%
Decimal Number 555
 
19.3%
Dash Punctuation 15
 
0.5%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 240
14.6%
대 124
 
7.6%
동 122
 
7.4%
시 121
 
7.4%
광 121
 
7.4%
역 120
 
7.3%
달 118
 
7.2%
서 118
 
7.2%
지 107
 
6.5%
번 106
 
6.5%
Other values (45) 344
21.0%
Decimal Number
ValueCountFrequency (%)
1 131
23.6%
3 56
10.1%
4 54
9.7%
2 52
 
9.4%
0 50
 
9.0%
9 47
 
8.5%
5 45
 
8.1%
6 45
 
8.1%
7 40
 
7.2%
8 35
 
6.3%
Space Separator
ValueCountFrequency (%)
667
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1641
57.0%
Common 1237
43.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 240
14.6%
대 124
 
7.6%
동 122
 
7.4%
시 121
 
7.4%
광 121
 
7.4%
역 120
 
7.3%
달 118
 
7.2%
서 118
 
7.2%
지 107
 
6.5%
번 106
 
6.5%
Other values (45) 344
21.0%
Common
ValueCountFrequency (%)
667
53.9%
1 131
 
10.6%
3 56
 
4.5%
4 54
 
4.4%
2 52
 
4.2%
0 50
 
4.0%
9 47
 
3.8%
5 45
 
3.6%
6 45
 
3.6%
7 40
 
3.2%
Other values (2) 50
 
4.0%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1641
57.0%
ASCII 1238
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
667
53.9%
1 131
 
10.6%
3 56
 
4.5%
4 54
 
4.4%
2 52
 
4.2%
0 50
 
4.0%
9 47
 
3.8%
5 45
 
3.6%
6 45
 
3.6%
7 40
 
3.2%
Other values (3) 51
 
4.1%
Hangul
ValueCountFrequency (%)
구 240
14.6%
대 124
 
7.6%
동 122
 
7.4%
시 121
 
7.4%
광 121
 
7.4%
역 120
 
7.3%
달 118
 
7.2%
서 118
 
7.2%
지 107
 
6.5%
번 106
 
6.5%
Other values (45) 344
21.0%

영업내용
Text

MISSING 

Distinct52
Distinct (%)45.2%
Missing5
Missing (%)4.2%
Memory size1.1 KiB
2023-12-13T09:42:28.573460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length24
Mean length8.0521739
Min length3

Characters and Unicode

Total characters926
Distinct characters85
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)34.8%

Sample

1st row간판, 광고물 제작
2nd row광고물제작
3rd row옥외광고물 제작 시공
4th row옥외광고물제작
5th row광고물의 제작, 설치, 판매
ValueCountFrequency (%)
광고물제작 43
21.0%
제작 27
 
13.2%
광고물 17
 
8.3%
옥외광고물 13
 
6.3%
및 9
 
4.4%
옥외광고물제작 7
 
3.4%
옥외광고 4
 
2.0%
등 4
 
2.0%
시공 4
 
2.0%
간판제작 4
 
2.0%
Other values (56) 73
35.6%
2023-12-13T09:42:28.850049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 102
11.0%
고 102
11.0%
제 97
10.5%
물 92
9.9%
작 92
9.9%
90
 
9.7%
외 35
 
3.8%
옥 34
 
3.7%
, 30
 
3.2%
판 24
 
2.6%
Other values (75) 228
24.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 787
85.0%
Space Separator 90
 
9.7%
Other Punctuation 37
 
4.0%
Uppercase Letter 6
 
0.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 102
13.0%
고 102
13.0%
제 97
12.3%
물 92
11.7%
작 92
11.7%
외 35
 
4.4%
옥 34
 
4.3%
판 24
 
3.0%
간 19
 
2.4%
인 15
 
1.9%
Other values (61) 175
22.2%
Uppercase Letter
ValueCountFrequency (%)
P 2
33.3%
L 1
16.7%
E 1
16.7%
D 1
16.7%
O 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 30
81.1%
· 4
 
10.8%
/ 2
 
5.4%
. 1
 
2.7%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 787
85.0%
Common 133
 
14.4%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 102
13.0%
고 102
13.0%
제 97
12.3%
물 92
11.7%
작 92
11.7%
외 35
 
4.4%
옥 34
 
4.3%
판 24
 
3.0%
간 19
 
2.4%
인 15
 
1.9%
Other values (61) 175
22.2%
Common
ValueCountFrequency (%)
90
67.7%
, 30
 
22.6%
· 4
 
3.0%
/ 2
 
1.5%
) 2
 
1.5%
( 2
 
1.5%
< 1
 
0.8%
> 1
 
0.8%
. 1
 
0.8%
Latin
ValueCountFrequency (%)
P 2
33.3%
L 1
16.7%
E 1
16.7%
D 1
16.7%
O 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 787
85.0%
ASCII 135
 
14.6%
None 4
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 102
13.0%
고 102
13.0%
제 97
12.3%
물 92
11.7%
작 92
11.7%
외 35
 
4.4%
옥 34
 
4.3%
판 24
 
3.0%
간 19
 
2.4%
인 15
 
1.9%
Other values (61) 175
22.2%
ASCII
ValueCountFrequency (%)
90
66.7%
, 30
 
22.2%
/ 2
 
1.5%
) 2
 
1.5%
P 2
 
1.5%
( 2
 
1.5%
L 1
 
0.7%
< 1
 
0.7%
E 1
 
0.7%
> 1
 
0.7%
Other values (3) 3
 
2.2%
None
ValueCountFrequency (%)
· 4
100.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
도시디자인과
120 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도시디자인과
2nd row도시디자인과
3rd row도시디자인과
4th row도시디자인과
5th row도시디자인과

Common Values

ValueCountFrequency (%)
도시디자인과 120
100.0%

Length

2023-12-13T09:42:28.949010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:42:29.016855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도시디자인과 120
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-03-09
120 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-09
2nd row2023-03-09
3rd row2023-03-09
4th row2023-03-09
5th row2023-03-09

Common Values

ValueCountFrequency (%)
2023-03-09 120
100.0%

Length

2023-12-13T09:42:29.086103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:42:29.157337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-09 120
100.0%

Interactions

2023-12-13T09:42:24.143671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:42:23.748541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:42:23.943999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:42:24.216809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:42:23.815808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:42:24.008797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:42:24.290890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:42:23.881124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:42:24.078207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:42:29.203420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도순번영업장전화번호영업내용
위도1.0000.3710.4730.0000.696
경도0.3711.0000.2410.0000.671
순번0.4730.2411.0000.6590.510
영업장전화번호0.0000.0000.6591.0000.000
영업내용0.6960.6710.5100.0001.000
2023-12-13T09:42:29.278157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도순번
위도1.000-0.1470.152
경도-0.1471.000-0.043
순번0.152-0.0431.000

Missing values

2023-12-13T09:42:24.379916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:42:24.501098image/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

위도경도순번인허가번호등록연월일업소명영업장전화번호영업장도로명주소영업장주소영업내용관리부서기준일자
035.843293128.55405212023-3470191-08-5-000042023-02-13유니크디자인000-000-0000대구광역시 달서구 장기로 60, 1층 (성당동)대구광역시 달서구 성당동 643번지 3호간판, 광고물 제작도시디자인과2023-03-09
135.818929128.53644122023-3470191-08-5-000022023-01-06에스앤제이컴퍼니000-000-0000대구광역시 달서구 월배로 213, 1층 (상인동)대구광역시 달서구 상인동 76-10<NA>도시디자인과2023-03-09
235.850633128.49798432017-3470169-08-5-000022020-11-13정현애드디자인000-000-0000대구광역시 달서구 달구벌대로240길 11, A동 1층 (신당동)대구광역시 달서구 상인동 1546번지 8호광고물제작도시디자인과2023-03-09
335.832019128.62695842023-3470191-08-5-000032020-12-31제이디코000-000-0000대구광역시 수성구 동대구로6길 59, 101호 (지산동)대구광역시 수성구 지산동 1035-9옥외광고물 제작 시공도시디자인과2023-03-09
435.814315128.54817352009-3470071-08-5-000012018-07-27다이스053-629-6514대구광역시 달서구 상화북로 210 (상인동)대구광역시 달서구 상인동 1428번지 10호옥외광고물제작도시디자인과2023-03-09
535.839707128.55760362023-3470191-08-5-000012023-01-03글래드디자인000-000-0000대구광역시 달서구 장기로 7, 1층 (성당동)대구광역시 달서구 성당동 198-62광고물의 제작, 설치, 판매도시디자인과2023-03-09
635.839671128.52572272022-3470191-08-5-000082022-12-19아진피앤에스053-353-3145대구광역시 달서구 문화회관11안길 20 (장동)대구광역시 달서구 장동 870번지옥외광고(간판,현수막,POP,벽보)도시디자인과2023-03-09
735.836454128.50666282022-3470191-08-5-000072022-12-19구친씨앤씨(주)000-000-0000대구광역시 달서구 성서공단로 217, 401호 (갈산동)대구광역시 달서구 갈산동 971번지 2호사인디자인/간판 제작설치도시디자인과2023-03-09
835.827772128.49424492022-3470191-08-5-000062022-11-22프린팅마트000-000-0000대구광역시 달서구 달서대로64길 15 (대천동)대구광역시 달서구 대천동 825번지 1호광고물 인쇄도시디자인과2023-03-09
935.828521128.496341102022-3470191-08-5-000052022-11-14연진출력000-000-0000대구광역시 달서구 성서공단남로10길 20 (대천동)대구광역시 달서구 대천동 614번지 1호광고물 인쇄도시디자인과2023-03-09
위도경도순번인허가번호등록연월일업소명영업장전화번호영업장도로명주소영업장주소영업내용관리부서기준일자
11035.852799128.5389731111998-3470000-08-2-001881998-04-30지오디자인053-563-1221대구광역시 달서구 죽전1길 153 (죽전동)대구광역시 달서구 죽전동 201번지 24호광고물제작도시디자인과2023-03-09
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11235.85381128.4925021131995-3470000-08-2-001091995-06-24대구광고공사053-584-7704대구광역시 달서구 신당로 1 (신당동)대구광역시 달서구 신당동 1793번지 11호광고물제작도시디자인과2023-03-09
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11435.852406128.544031151998-3470000-08-2-002021998-08-10광고시대053-562-0504대구광역시 달서구 달구벌대로 1622 (감삼동, (101-9,101-11))대구광역시 달서구 감삼동 101번지 9호 101-11광고물제작,인테리어공사,산업디자인,디자인용역도시디자인과2023-03-09
11535.846759128.5390871162001-3470071-08-2-003312001-08-10화성053-563-1378대구광역시 달서구 감삼남2길 22 (감삼동)대구광역시 달서구 감삼동 175번지 17호현수막제작도시디자인과2023-03-09
11635.830361128.5536851171998-3470000-08-2-001761998-02-26광고나라053-621-7553대구광역시 달서구 월배로84길 35 (송현동)대구광역시 달서구 송현동 2002번지 33호광고물제작도시디자인과2023-03-09
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11835.854615128.5537991191991-3470000-08-2-000121991-02-26한성광고공사053-651-3940대구광역시 달서구 야외음악당로39길 62 (두류동)대구광역시 달서구 두류동 486번지 1호광고물제작업도시디자인과2023-03-09
11935.849492128.5119041202001-3470071-08-2-003132001-01-12모리스광고053-591-6464대구광역시 달서구 성서로72길 79 (이곡동)대구광역시 달서구 이곡동 1000번지 282호간판제조도시디자인과2023-03-09