Overview

Dataset statistics

Number of variables16
Number of observations332
Missing cells335
Missing cells (%)6.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.9 KiB
Average record size in memory132.4 B

Variable types

Numeric1
Text3
Categorical6
Boolean6

Dataset

Description대구 북구 전통시장 28개 중 하나인 전기재료관의 상점정보에 대한 csv 파일이다. 시장의 상점들의 주소, 상품권 사용 유무 등의 정보을 파악할 수 있다.
Author대구광역시 북구
URLhttps://www.data.go.kr/data/15109899/fileData.do

Alerts

소재지 도로명 주소 has constant value ""Constant
소재지 지번주소 has constant value ""Constant
전통시장 상가번영회 가입유무 has constant value ""Constant
온누리 상품권 사용유무 has constant value ""Constant
문화상품권 사용유무 has constant value ""Constant
전자상품권 사용유무 has constant value ""Constant
카드단말기 유무 has constant value ""Constant
종업원 수 has constant value ""Constant
상점 홈페이지 주소 has constant value ""Constant
위도 has constant value ""Constant
경도 has constant value ""Constant
상점업종분류 is highly imbalanced (94.8%)Imbalance
택배서비스 유무 is highly imbalanced (97.0%)Imbalance
대표품목 has 4 (1.2%) missing valuesMissing
상점 홈페이지 주소 has 331 (99.7%) missing valuesMissing
상점코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:45:05.072852
Analysis finished2023-12-12 20:45:06.002288
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상점코드
Real number (ℝ)

UNIQUE 

Distinct332
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.70482
Minimum1
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-13T05:45:06.094550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.55
Q188.75
median175.5
Q3261.5
95-th percentile336.45
Maximum360
Range359
Interquartile range (IQR)172.75

Descriptive statistics

Standard deviation101.30134
Coefficient of variation (CV)0.57654274
Kurtosis-1.1596855
Mean175.70482
Median Absolute Deviation (MAD)87
Skewness0.031741748
Sum58334
Variance10261.961
MonotonicityStrictly increasing
2023-12-13T05:45:06.276665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
239 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
Other values (322) 322
97.0%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
360 1
0.3%
358 1
0.3%
355 1
0.3%
354 1
0.3%
352 1
0.3%
350 1
0.3%
349 1
0.3%
348 1
0.3%
346 1
0.3%
345 1
0.3%

상점명
Text

Distinct180
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-13T05:45:06.584585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length5.2409639
Min length2

Characters and Unicode

Total characters1740
Distinct characters201
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)31.0%

Sample

1st row기성전기조명
2nd row기성전기조명
3rd row희성전기
4th row기성전기조명
5th row정호전기
ValueCountFrequency (%)
주식회사 14
 
4.0%
풍림산전 8
 
2.3%
미주전기 7
 
2.0%
금성전기 6
 
1.7%
춘일화스코 6
 
1.7%
신안전기조명 6
 
1.7%
만보전업사 6
 
1.7%
신일종합전기 4
 
1.1%
관포산업 4
 
1.1%
경진공구종합상사 4
 
1.1%
Other values (174) 287
81.5%
2023-12-13T05:45:07.135077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 183
 
10.5%
기 145
 
8.3%
사 52
 
3.0%
명 52
 
3.0%
주 41
 
2.4%
이 38
 
2.2%
스 34
 
2.0%
성 34
 
2.0%
조 30
 
1.7%
대 30
 
1.7%
Other values (191) 1101
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1618
93.0%
Uppercase Letter 50
 
2.9%
Open Punctuation 23
 
1.3%
Close Punctuation 23
 
1.3%
Space Separator 20
 
1.1%
Lowercase Letter 3
 
0.2%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Control 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 183
 
11.3%
기 145
 
9.0%
사 52
 
3.2%
명 52
 
3.2%
주 41
 
2.5%
이 38
 
2.3%
스 34
 
2.1%
성 34
 
2.1%
조 30
 
1.9%
대 30
 
1.9%
Other values (169) 979
60.5%
Uppercase Letter
ValueCountFrequency (%)
F 11
22.0%
A 11
22.0%
S 8
16.0%
E 5
10.0%
N 3
 
6.0%
Y 2
 
4.0%
T 2
 
4.0%
G 2
 
4.0%
C 2
 
4.0%
J 1
 
2.0%
Other values (3) 3
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
c 1
33.3%
h 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1618
93.0%
Common 69
 
4.0%
Latin 53
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 183
 
11.3%
기 145
 
9.0%
사 52
 
3.2%
명 52
 
3.2%
주 41
 
2.5%
이 38
 
2.3%
스 34
 
2.1%
성 34
 
2.1%
조 30
 
1.9%
대 30
 
1.9%
Other values (169) 979
60.5%
Latin
ValueCountFrequency (%)
F 11
20.8%
A 11
20.8%
S 8
15.1%
E 5
9.4%
N 3
 
5.7%
Y 2
 
3.8%
T 2
 
3.8%
G 2
 
3.8%
C 2
 
3.8%
J 1
 
1.9%
Other values (6) 6
11.3%
Common
ValueCountFrequency (%)
( 23
33.3%
) 23
33.3%
20
29.0%
- 1
 
1.4%
& 1
 
1.4%
1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1618
93.0%
ASCII 122
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 183
 
11.3%
기 145
 
9.0%
사 52
 
3.2%
명 52
 
3.2%
주 41
 
2.5%
이 38
 
2.3%
스 34
 
2.1%
성 34
 
2.1%
조 30
 
1.9%
대 30
 
1.9%
Other values (169) 979
60.5%
ASCII
ValueCountFrequency (%)
( 23
18.9%
) 23
18.9%
20
16.4%
F 11
9.0%
A 11
9.0%
S 8
 
6.6%
E 5
 
4.1%
N 3
 
2.5%
Y 2
 
1.6%
T 2
 
1.6%
Other values (12) 14
11.5%

소재지 도로명 주소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
대구광역시 북구 유통단지로 38
332 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 북구 유통단지로 38
2nd row대구광역시 북구 유통단지로 38
3rd row대구광역시 북구 유통단지로 38
4th row대구광역시 북구 유통단지로 38
5th row대구광역시 북구 유통단지로 38

Common Values

ValueCountFrequency (%)
대구광역시 북구 유통단지로 38 332
100.0%

Length

2023-12-13T05:45:07.325629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:45:07.454324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 332
25.0%
북구 332
25.0%
유통단지로 332
25.0%
38 332
25.0%

소재지 지번주소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
대구광역시 북구 산격동 1665
332 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 북구 산격동 1665
2nd row대구광역시 북구 산격동 1665
3rd row대구광역시 북구 산격동 1665
4th row대구광역시 북구 산격동 1665
5th row대구광역시 북구 산격동 1665

Common Values

ValueCountFrequency (%)
대구광역시 북구 산격동 1665 332
100.0%

Length

2023-12-13T05:45:07.577936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:45:07.727443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 332
25.0%
북구 332
25.0%
산격동 332
25.0%
1665 332
25.0%

상점업종분류
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
쇼핑시설
329 
기타
 
2
카페
 
1

Length

Max length4
Median length4
Mean length3.9819277
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
쇼핑시설 329
99.1%
기타 2
 
0.6%
카페 1
 
0.3%

Length

2023-12-13T05:45:07.874400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:45:08.043337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
쇼핑시설 329
99.1%
기타 2
 
0.6%
카페 1
 
0.3%

대표품목
Text

MISSING 

Distinct120
Distinct (%)36.6%
Missing4
Missing (%)1.2%
Memory size2.7 KiB
2023-12-13T05:45:08.266842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length7.9237805
Min length2

Characters and Unicode

Total characters2599
Distinct characters183
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)22.6%

Sample

1st row전기조명,전기재료
2nd row전기조명,전기재료
3rd row전기재료,전자 외 기타
4th row전기조명,전기재료
5th row전기자재 외
ValueCountFrequency (%)
전기재료 90
 
20.2%
자동제어부품 25
 
5.6%
전기재료외 20
 
4.5%
외 19
 
4.3%
및 14
 
3.1%
전선케이블외 9
 
2.0%
조명기구(산업용 7
 
1.6%
전자부품 7
 
1.6%
전기재료,약전(내선 6
 
1.3%
자동제어기외 6
 
1.3%
Other values (148) 242
54.4%
2023-12-13T05:45:08.683642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 317
 
12.2%
전 280
 
10.8%
재 164
 
6.3%
료 149
 
5.7%
, 129
 
5.0%
117
 
4.5%
자 91
 
3.5%
외 67
 
2.6%
품 64
 
2.5%
어 62
 
2.4%
Other values (173) 1159
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2235
86.0%
Other Punctuation 159
 
6.1%
Space Separator 117
 
4.5%
Close Punctuation 28
 
1.1%
Open Punctuation 28
 
1.1%
Uppercase Letter 22
 
0.8%
Lowercase Letter 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 317
 
14.2%
전 280
 
12.5%
재 164
 
7.3%
료 149
 
6.7%
자 91
 
4.1%
외 67
 
3.0%
품 64
 
2.9%
어 62
 
2.8%
제 61
 
2.7%
부 55
 
2.5%
Other values (150) 925
41.4%
Uppercase Letter
ValueCountFrequency (%)
P 3
13.6%
L 3
13.6%
C 3
13.6%
V 2
9.1%
U 2
9.1%
S 2
9.1%
D 2
9.1%
E 2
9.1%
R 1
 
4.5%
A 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
s 3
30.0%
c 2
20.0%
a 2
20.0%
w 1
 
10.0%
t 1
 
10.0%
v 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 129
81.1%
/ 16
 
10.1%
. 14
 
8.8%
Space Separator
ValueCountFrequency (%)
117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2232
85.9%
Common 332
 
12.8%
Latin 32
 
1.2%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 317
 
14.2%
전 280
 
12.5%
재 164
 
7.3%
료 149
 
6.7%
자 91
 
4.1%
외 67
 
3.0%
품 64
 
2.9%
어 62
 
2.8%
제 61
 
2.7%
부 55
 
2.5%
Other values (149) 922
41.3%
Latin
ValueCountFrequency (%)
P 3
 
9.4%
L 3
 
9.4%
s 3
 
9.4%
C 3
 
9.4%
V 2
 
6.2%
c 2
 
6.2%
a 2
 
6.2%
U 2
 
6.2%
S 2
 
6.2%
D 2
 
6.2%
Other values (7) 8
25.0%
Common
ValueCountFrequency (%)
, 129
38.9%
117
35.2%
) 28
 
8.4%
( 28
 
8.4%
/ 16
 
4.8%
. 14
 
4.2%
Han
ValueCountFrequency (%)
外 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2232
85.9%
ASCII 364
 
14.0%
CJK 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 317
 
14.2%
전 280
 
12.5%
재 164
 
7.3%
료 149
 
6.7%
자 91
 
4.1%
외 67
 
3.0%
품 64
 
2.9%
어 62
 
2.8%
제 61
 
2.7%
부 55
 
2.5%
Other values (149) 922
41.3%
ASCII
ValueCountFrequency (%)
, 129
35.4%
117
32.1%
) 28
 
7.7%
( 28
 
7.7%
/ 16
 
4.4%
. 14
 
3.8%
P 3
 
0.8%
L 3
 
0.8%
s 3
 
0.8%
C 3
 
0.8%
Other values (13) 20
 
5.5%
CJK
ValueCountFrequency (%)
外 3
100.0%

전통시장 상가번영회 가입유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size464.0 B
True
332 
ValueCountFrequency (%)
True 332
100.0%
2023-12-13T05:45:08.811779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

온누리 상품권 사용유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size464.0 B
True
332 
ValueCountFrequency (%)
True 332
100.0%
2023-12-13T05:45:08.895931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

문화상품권 사용유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size464.0 B
True
332 
ValueCountFrequency (%)
True 332
100.0%
2023-12-13T05:45:08.996538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전자상품권 사용유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size464.0 B
True
332 
ValueCountFrequency (%)
True 332
100.0%
2023-12-13T05:45:09.084006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

카드단말기 유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size464.0 B
True
332 
ValueCountFrequency (%)
True 332
100.0%
2023-12-13T05:45:09.172450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

택배서비스 유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size464.0 B
False
331 
True
 
1
ValueCountFrequency (%)
False 331
99.7%
True 1
 
0.3%
2023-12-13T05:45:09.258860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

종업원 수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
1
332 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 332
100.0%

Length

2023-12-13T05:45:09.375476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:45:09.472973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 332
100.0%

상점 홈페이지 주소
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing331
Missing (%)99.7%
Memory size2.7 KiB
2023-12-13T05:45:09.606279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters23
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowwww.sanmarucleaning.com
ValueCountFrequency (%)
www.sanmarucleaning.com 1
100.0%
2023-12-13T05:45:09.973101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 3
13.0%
a 3
13.0%
n 3
13.0%
. 2
8.7%
m 2
8.7%
c 2
8.7%
s 1
 
4.3%
r 1
 
4.3%
u 1
 
4.3%
l 1
 
4.3%
Other values (4) 4
17.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 21
91.3%
Other Punctuation 2
 
8.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 3
14.3%
a 3
14.3%
n 3
14.3%
m 2
9.5%
c 2
9.5%
s 1
 
4.8%
r 1
 
4.8%
u 1
 
4.8%
l 1
 
4.8%
e 1
 
4.8%
Other values (3) 3
14.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 21
91.3%
Common 2
 
8.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 3
14.3%
a 3
14.3%
n 3
14.3%
m 2
9.5%
c 2
9.5%
s 1
 
4.8%
r 1
 
4.8%
u 1
 
4.8%
l 1
 
4.8%
e 1
 
4.8%
Other values (3) 3
14.3%
Common
ValueCountFrequency (%)
. 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 3
13.0%
a 3
13.0%
n 3
13.0%
. 2
8.7%
m 2
8.7%
c 2
8.7%
s 1
 
4.3%
r 1
 
4.3%
u 1
 
4.3%
l 1
 
4.3%
Other values (4) 4
17.4%

위도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
35.905363
332 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35.905363
2nd row35.905363
3rd row35.905363
4th row35.905363
5th row35.905363

Common Values

ValueCountFrequency (%)
35.905363 332
100.0%

Length

2023-12-13T05:45:10.140438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:45:10.275608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35.905363 332
100.0%

경도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
128.607531
332 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row128.607531
2nd row128.607531
3rd row128.607531
4th row128.607531
5th row128.607531

Common Values

ValueCountFrequency (%)
128.607531 332
100.0%

Length

2023-12-13T05:45:10.403853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:45:10.501878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
128.607531 332
100.0%

Interactions

2023-12-13T05:45:05.455405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:45:10.861606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상점코드상점업종분류택배서비스 유무
상점코드1.0000.0000.000
상점업종분류0.0001.0000.000
택배서비스 유무0.0000.0001.000
2023-12-13T05:45:10.984077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상점업종분류택배서비스 유무
상점업종분류1.0000.000
택배서비스 유무0.0001.000
2023-12-13T05:45:11.079354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상점코드상점업종분류택배서비스 유무
상점코드1.0000.0000.000
상점업종분류0.0001.0000.000
택배서비스 유무0.0000.0001.000

Missing values

2023-12-13T05:45:05.614391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:45:05.825458image/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.
2023-12-13T05:45:05.950313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

상점코드상점명소재지 도로명 주소소재지 지번주소상점업종분류대표품목전통시장 상가번영회 가입유무온누리 상품권 사용유무문화상품권 사용유무전자상품권 사용유무카드단말기 유무택배서비스 유무종업원 수상점 홈페이지 주소위도경도
01기성전기조명대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전기조명,전기재료YYYYYN1<NA>35.905363128.607531
12기성전기조명대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전기조명,전기재료YYYYYN1<NA>35.905363128.607531
23희성전기대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전기재료,전자 외 기타YYYYYN1<NA>35.905363128.607531
34기성전기조명대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전기조명,전기재료YYYYYN1<NA>35.905363128.607531
45정호전기대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전기자재 외YYYYYN1<NA>35.905363128.607531
56유니일렉대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설제어기기YYYYYN1<NA>35.905363128.607531
67유니일렉대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설제어기기YYYYYN1<NA>35.905363128.607531
78현대라이팅대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설조명,전기재료YYYYYN1<NA>35.905363128.607531
89유니일렉대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설제어기기YYYYYN1<NA>35.905363128.607531
910주식회사 씨티방재대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설소방시설관리, 전기공급 및 제어장치YYYYYN1<NA>35.905363128.607531
상점코드상점명소재지 도로명 주소소재지 지번주소상점업종분류대표품목전통시장 상가번영회 가입유무온누리 상품권 사용유무문화상품권 사용유무전자상품권 사용유무카드단말기 유무택배서비스 유무종업원 수상점 홈페이지 주소위도경도
322345(주)한국종합유선대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전선케이블,통신장비,산업안전용품YYYYYN1<NA>35.905363128.607531
323346지산파워텍대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전기기기, 전기엔지니어링YYYYYN1<NA>35.905363128.607531
324348봄테크대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전기 및 전자부품YYYYYN1<NA>35.905363128.607531
325349기전사대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전선케이블 외YYYYYN1<NA>35.905363128.607531
326350지유FA대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전기용기계장비 및 관련기자재 도매업YYYYYN1<NA>35.905363128.607531
327352두리전기조명대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전기재료 외YYYYYN1<NA>35.905363128.607531
328354구구전기통신대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전기통신재료,네트웍,CCTV,키폰,전화컴퓨터수리YYYYYN1<NA>35.905363128.607531
329355신유전기대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설전기재료YYYYYN1<NA>35.905363128.607531
330358동서판금대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설판금YYYYYN1<NA>35.905363128.607531
331360동서판금대구광역시 북구 유통단지로 38대구광역시 북구 산격동 1665쇼핑시설판금YYYYYN1<NA>35.905363128.607531