Overview

Dataset statistics

Number of variables13
Number of observations9518
Missing cells1206
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1022.6 KiB
Average record size in memory110.0 B

Variable types

Categorical3
Text5
Numeric5

Dataset

Description경기도 가맹사업본부 현황
Author공정거래위원회
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=Y14QGFVL03LKVFEDX9MI34606557&infSeq=1

Alerts

업종중분류명 is highly overall correlated with 업종대분류명High correlation
업종대분류명 is highly overall correlated with 업종중분류명High correlation
정제우편번호 is highly overall correlated with 정제WGS84위도High correlation
정제WGS84위도 is highly overall correlated with 정제우편번호High correlation
전화번호 has 215 (2.3%) missing valuesMissing
정제도로명주소 has 664 (7.0%) missing valuesMissing
정제우편번호 has 99 (1.0%) missing valuesMissing
정제WGS84경도 has 114 (1.2%) missing valuesMissing
정제WGS84위도 has 114 (1.2%) missing valuesMissing
전화번호 has 267 (2.8%) zerosZeros

Reproduction

Analysis started2024-05-10 20:39:13.925023
Analysis finished2024-05-10 20:39:27.982170
Duration14.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.5 KiB
2023
2851 
2021
2578 
2022
2540 
2020
1549 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 2851
30.0%
2021 2578
27.1%
2022 2540
26.7%
2020 1549
16.3%

Length

2024-05-10T20:39:28.370337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:39:28.848695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 2851
30.0%
2021 2578
27.1%
2022 2540
26.7%
2020 1549
16.3%

법인명
Text

Distinct3028
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size74.5 KiB
2024-05-10T20:39:29.597331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length7.5677663
Min length1

Characters and Unicode

Total characters72030
Distinct characters888
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1160 ?
Unique (%)12.2%

Sample

1st row착한맘굿쉐프
2nd row(주)라온하랑
3rd row(주)따순둥푸드
4th row욤(Yom)
5th row(주)에스피에프엔비
ValueCountFrequency (%)
주)엘에이치지 125
 
1.3%
주)놀부 90
 
0.9%
주)국민키친 76
 
0.8%
주)위벨롭먼트 47
 
0.5%
닭터박 44
 
0.5%
푸드딜라이트 38
 
0.4%
주)티에스에프엔씨 35
 
0.4%
제이와이에프앤비(주 33
 
0.3%
주)채선당 32
 
0.3%
주)모컴테크 28
 
0.3%
Other values (3027) 8986
94.3%
2024-05-10T20:39:30.857980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 6495
 
9.0%
) 6493
 
9.0%
주 6259
 
8.7%
에 2245
 
3.1%
이 2160
 
3.0%
스 1820
 
2.5%
프 1570
 
2.2%
드 1458
 
2.0%
푸 1196
 
1.7%
앤 1086
 
1.5%
Other values (878) 41248
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55815
77.5%
Open Punctuation 6495
 
9.0%
Close Punctuation 6493
 
9.0%
Uppercase Letter 1270
 
1.8%
Lowercase Letter 892
 
1.2%
Decimal Number 485
 
0.7%
Other Symbol 281
 
0.4%
Other Punctuation 281
 
0.4%
Space Separator 16
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 6259
 
11.2%
에 2245
 
4.0%
이 2160
 
3.9%
스 1820
 
3.3%
프 1570
 
2.8%
드 1458
 
2.6%
푸 1196
 
2.1%
앤 1086
 
1.9%
비 1030
 
1.8%
리 994
 
1.8%
Other values (804) 35997
64.5%
Uppercase Letter
ValueCountFrequency (%)
F 188
14.8%
B 122
 
9.6%
C 112
 
8.8%
S 87
 
6.9%
E 78
 
6.1%
O 74
 
5.8%
N 71
 
5.6%
A 67
 
5.3%
D 57
 
4.5%
T 55
 
4.3%
Other values (16) 359
28.3%
Lowercase Letter
ValueCountFrequency (%)
o 128
14.3%
e 90
10.1%
a 89
10.0%
n 72
 
8.1%
t 69
 
7.7%
m 67
 
7.5%
p 52
 
5.8%
d 41
 
4.6%
r 40
 
4.5%
s 30
 
3.4%
Other values (14) 214
24.0%
Decimal Number
ValueCountFrequency (%)
2 76
15.7%
1 74
15.3%
0 61
12.6%
9 52
10.7%
4 48
9.9%
3 46
9.5%
8 46
9.5%
6 30
 
6.2%
7 27
 
5.6%
5 25
 
5.2%
Other Punctuation
ValueCountFrequency (%)
& 160
56.9%
. 39
 
13.9%
; 30
 
10.7%
, 27
 
9.6%
/ 12
 
4.3%
' 9
 
3.2%
# 3
 
1.1%
! 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 6495
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6493
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 281
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56083
77.9%
Common 13772
 
19.1%
Latin 2162
 
3.0%
Han 13
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 6259
 
11.2%
에 2245
 
4.0%
이 2160
 
3.9%
스 1820
 
3.2%
프 1570
 
2.8%
드 1458
 
2.6%
푸 1196
 
2.1%
앤 1086
 
1.9%
비 1030
 
1.8%
리 994
 
1.8%
Other values (799) 36265
64.7%
Latin
ValueCountFrequency (%)
F 188
 
8.7%
o 128
 
5.9%
B 122
 
5.6%
C 112
 
5.2%
e 90
 
4.2%
a 89
 
4.1%
S 87
 
4.0%
E 78
 
3.6%
O 74
 
3.4%
n 72
 
3.3%
Other values (40) 1122
51.9%
Common
ValueCountFrequency (%)
( 6495
47.2%
) 6493
47.1%
& 160
 
1.2%
2 76
 
0.6%
1 74
 
0.5%
0 61
 
0.4%
9 52
 
0.4%
4 48
 
0.3%
3 46
 
0.3%
8 46
 
0.3%
Other values (13) 221
 
1.6%
Han
ValueCountFrequency (%)
樂 5
38.5%
眞 3
23.1%
秀 2
 
15.4%
金 1
 
7.7%
家 1
 
7.7%
火 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55802
77.5%
ASCII 15934
 
22.1%
None 281
 
0.4%
CJK 7
 
< 0.1%
CJK Compat Ideographs 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 6495
40.8%
) 6493
40.7%
F 188
 
1.2%
& 160
 
1.0%
o 128
 
0.8%
B 122
 
0.8%
C 112
 
0.7%
e 90
 
0.6%
a 89
 
0.6%
S 87
 
0.5%
Other values (63) 1970
 
12.4%
Hangul
ValueCountFrequency (%)
주 6259
 
11.2%
에 2245
 
4.0%
이 2160
 
3.9%
스 1820
 
3.3%
프 1570
 
2.8%
드 1458
 
2.6%
푸 1196
 
2.1%
앤 1086
 
1.9%
비 1030
 
1.8%
리 994
 
1.8%
Other values (798) 35984
64.5%
None
ValueCountFrequency (%)
㈜ 281
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 5
83.3%
金 1
 
16.7%
CJK
ValueCountFrequency (%)
眞 3
42.9%
秀 2
28.6%
家 1
 
14.3%
火 1
 
14.3%

브랜드명
Text

Distinct4311
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Memory size74.5 KiB
2024-05-10T20:39:31.503053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length6.3844295
Min length1

Characters and Unicode

Total characters60767
Distinct characters1027
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1633 ?
Unique (%)17.2%

Sample

1st row불공장
2nd row유지트PC(UZIT PC)
3rd row버거형의 어쩌다 소고기국밥
4th row욤카페
5th row냉면입니다
ValueCountFrequency (%)
coffee 39
 
0.3%
온맘터치 22
 
0.2%
떡볶이 21
 
0.2%
마라탕 15
 
0.1%
파스타 14
 
0.1%
더 14
 
0.1%
burger 14
 
0.1%
커피 13
 
0.1%
부대찌개 11
 
0.1%
cafe 10
 
0.1%
Other values (4915) 11143
98.5%
2024-05-10T20:39:32.643975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1880
 
3.1%
스 1453
 
2.4%
이 1410
 
2.3%
리 886
 
1.5%
) 653
 
1.1%
( 653
 
1.1%
치 579
 
1.0%
아 526
 
0.9%
라 505
 
0.8%
미 504
 
0.8%
Other values (1017) 51718
85.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49120
80.8%
Uppercase Letter 4385
 
7.2%
Lowercase Letter 2535
 
4.2%
Space Separator 1880
 
3.1%
Decimal Number 1023
 
1.7%
Close Punctuation 656
 
1.1%
Open Punctuation 656
 
1.1%
Other Punctuation 455
 
0.7%
Dash Punctuation 31
 
0.1%
Final Punctuation 10
 
< 0.1%
Other values (4) 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1453
 
3.0%
이 1410
 
2.9%
리 886
 
1.8%
치 579
 
1.2%
아 526
 
1.1%
라 505
 
1.0%
미 504
 
1.0%
피 499
 
1.0%
국 484
 
1.0%
마 458
 
0.9%
Other values (932) 41816
85.1%
Uppercase Letter
ValueCountFrequency (%)
E 497
 
11.3%
A 352
 
8.0%
O 329
 
7.5%
C 283
 
6.5%
S 267
 
6.1%
T 258
 
5.9%
R 218
 
5.0%
N 208
 
4.7%
L 208
 
4.7%
B 200
 
4.6%
Other values (16) 1565
35.7%
Lowercase Letter
ValueCountFrequency (%)
a 286
11.3%
e 281
 
11.1%
o 241
 
9.5%
r 188
 
7.4%
s 164
 
6.5%
l 155
 
6.1%
i 155
 
6.1%
t 150
 
5.9%
n 108
 
4.3%
u 96
 
3.8%
Other values (15) 711
28.0%
Other Punctuation
ValueCountFrequency (%)
& 238
52.3%
; 59
 
13.0%
, 47
 
10.3%
' 32
 
7.0%
? 28
 
6.2%
. 17
 
3.7%
# 10
 
2.2%
! 10
 
2.2%
: 7
 
1.5%
· 6
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 167
16.3%
2 151
14.8%
9 138
13.5%
0 122
11.9%
3 105
10.3%
4 103
10.1%
8 77
7.5%
5 70
6.8%
6 54
 
5.3%
7 36
 
3.5%
Close Punctuation
ValueCountFrequency (%)
) 653
99.5%
] 3
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 653
99.5%
[ 3
 
0.5%
Other Symbol
ValueCountFrequency (%)
℃ 4
57.1%
° 3
42.9%
Math Symbol
ValueCountFrequency (%)
+ 3
50.0%
~ 3
50.0%
Space Separator
ValueCountFrequency (%)
1880
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 10
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49069
80.7%
Latin 6920
 
11.4%
Common 4727
 
7.8%
Han 51
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1453
 
3.0%
이 1410
 
2.9%
리 886
 
1.8%
치 579
 
1.2%
아 526
 
1.1%
라 505
 
1.0%
미 504
 
1.0%
피 499
 
1.0%
국 484
 
1.0%
마 458
 
0.9%
Other values (911) 41765
85.1%
Latin
ValueCountFrequency (%)
E 497
 
7.2%
A 352
 
5.1%
O 329
 
4.8%
a 286
 
4.1%
C 283
 
4.1%
e 281
 
4.1%
S 267
 
3.9%
T 258
 
3.7%
o 241
 
3.5%
R 218
 
3.2%
Other values (41) 3908
56.5%
Common
ValueCountFrequency (%)
1880
39.8%
) 653
 
13.8%
( 653
 
13.8%
& 238
 
5.0%
1 167
 
3.5%
2 151
 
3.2%
9 138
 
2.9%
0 122
 
2.6%
3 105
 
2.2%
4 103
 
2.2%
Other values (24) 517
 
10.9%
Han
ValueCountFrequency (%)
愛 8
15.7%
美 7
13.7%
火 4
 
7.8%
新 3
 
5.9%
家 3
 
5.9%
全 3
 
5.9%
人 3
 
5.9%
食 3
 
5.9%
元 3
 
5.9%
眞 2
 
3.9%
Other values (11) 12
23.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49063
80.7%
ASCII 11623
 
19.1%
CJK 51
 
0.1%
Punctuation 11
 
< 0.1%
None 9
 
< 0.1%
Compat Jamo 6
 
< 0.1%
Letterlike Symbols 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1880
 
16.2%
) 653
 
5.6%
( 653
 
5.6%
E 497
 
4.3%
A 352
 
3.0%
O 329
 
2.8%
a 286
 
2.5%
C 283
 
2.4%
e 281
 
2.4%
S 267
 
2.3%
Other values (70) 6142
52.8%
Hangul
ValueCountFrequency (%)
스 1453
 
3.0%
이 1410
 
2.9%
리 886
 
1.8%
치 579
 
1.2%
아 526
 
1.1%
라 505
 
1.0%
미 504
 
1.0%
피 499
 
1.0%
국 484
 
1.0%
마 458
 
0.9%
Other values (908) 41759
85.1%
Punctuation
ValueCountFrequency (%)
’ 10
90.9%
′ 1
 
9.1%
CJK
ValueCountFrequency (%)
愛 8
15.7%
美 7
13.7%
火 4
 
7.8%
新 3
 
5.9%
家 3
 
5.9%
全 3
 
5.9%
人 3
 
5.9%
食 3
 
5.9%
元 3
 
5.9%
眞 2
 
3.9%
Other values (11) 12
23.5%
None
ValueCountFrequency (%)
· 6
66.7%
° 3
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 2
33.3%
ㅁ 2
33.3%
ㅇ 2
33.3%

사업자등록일자
Real number (ℝ)

Distinct1821
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20156728
Minimum19560324
Maximum20231116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.8 KiB
2024-05-10T20:39:33.071046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19560324
5-th percentile20030505
Q120140120
median20180420
Q320200701
95-th percentile20211108
Maximum20231116
Range670792
Interquartile range (IQR)60581

Descriptive statistics

Standard deviation66640.696
Coefficient of variation (CV)0.0033061266
Kurtosis9.4276728
Mean20156728
Median Absolute Deviation (MAD)29519
Skewness-2.4513447
Sum1.9185174 × 1011
Variance4.4409824 × 109
MonotonicityNot monotonic
2024-05-10T20:39:33.528615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081031 125
 
1.3%
19900103 90
 
0.9%
20200312 84
 
0.9%
20180716 67
 
0.7%
20211005 53
 
0.6%
20180101 48
 
0.5%
20200701 48
 
0.5%
20121129 47
 
0.5%
20170214 46
 
0.5%
20180501 43
 
0.5%
Other values (1811) 8867
93.2%
ValueCountFrequency (%)
19560324 3
 
< 0.1%
19680701 16
0.2%
19810121 3
 
< 0.1%
19830225 4
 
< 0.1%
19830920 4
 
< 0.1%
19860131 4
 
< 0.1%
19860401 1
 
< 0.1%
19870115 12
0.1%
19890512 16
0.2%
19891202 5
 
0.1%
ValueCountFrequency (%)
20231116 2
< 0.1%
20231101 2
< 0.1%
20231020 1
 
< 0.1%
20231016 1
 
< 0.1%
20230910 1
 
< 0.1%
20230907 1
 
< 0.1%
20230901 1
 
< 0.1%
20230818 1
 
< 0.1%
20230808 3
< 0.1%
20230801 1
 
< 0.1%

전화번호
Real number (ℝ)

MISSING  ZEROS 

Distinct2858
Distinct (%)30.7%
Missing215
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean7.3632354 × 108
Minimum0
Maximum5.0714815 × 1010
Zeros267
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size83.8 KiB
2024-05-10T20:39:33.949057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15224228
Q116683777
median2.210395 × 108
Q33.1711929 × 108
95-th percentile7.04103 × 109
Maximum5.0714815 × 1010
Range5.0714815 × 1010
Interquartile range (IQR)3.0043551 × 108

Descriptive statistics

Standard deviation2.7531182 × 109
Coefficient of variation (CV)3.7390061
Kurtosis208.3974
Mean7.3632354 × 108
Median Absolute Deviation (MAD)1.9556326 × 108
Skewness12.257021
Sum6.8500179 × 1012
Variance7.5796598 × 1018
MonotonicityNot monotonic
2024-05-10T20:39:34.314698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 267
 
2.8%
313220600 95
 
1.0%
313228855 68
 
0.7%
215776877 67
 
0.7%
18118051 51
 
0.5%
15447253 47
 
0.5%
7077935030 38
 
0.4%
15776647 33
 
0.3%
29076191 32
 
0.3%
18995937 30
 
0.3%
Other values (2848) 8575
90.1%
(Missing) 215
 
2.3%
ValueCountFrequency (%)
0 267
2.8%
20001 1
 
< 0.1%
20202 1
 
< 0.1%
20808 4
 
< 0.1%
1988779 2
 
< 0.1%
2135303 1
 
< 0.1%
2447573 2
 
< 0.1%
2684195 1
 
< 0.1%
2880208 2
 
< 0.1%
2886449 1
 
< 0.1%
ValueCountFrequency (%)
50714815282 1
< 0.1%
50714067338 1
< 0.1%
50714021422 2
< 0.1%
50713855770 1
< 0.1%
50713815991 2
< 0.1%
50713708785 1
< 0.1%
50713635234 1
< 0.1%
50713423936 1
< 0.1%
50713228485 1
< 0.1%
50713121889 1
< 0.1%

대표자명
Text

Distinct2755
Distinct (%)28.9%
Missing0
Missing (%)0.0%
Memory size74.5 KiB
2024-05-10T20:39:35.034405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length3
Mean length3.2931288
Min length2

Characters and Unicode

Total characters31344
Distinct characters297
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

Unique945 ?
Unique (%)9.9%

Sample

1st row오영배
2nd row강신창
3rd row신기수
4th row신재원
5th row김혁
ValueCountFrequency (%)
최순남 125
 
1.2%
김병학 76
 
0.8%
안세진 57
 
0.6%
정승민 53
 
0.5%
박상민 53
 
0.5%
김종국 44
 
0.4%
지현우 38
 
0.4%
김형록 35
 
0.3%
조갑술 33
 
0.3%
김익수 32
 
0.3%
Other values (2809) 9468
94.5%
2024-05-10T20:39:36.101560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 2244
 
7.2%
이 1347
 
4.3%
정 995
 
3.2%
박 753
 
2.4%
영 746
 
2.4%
성 743
 
2.4%
현 645
 
2.1%
최 601
 
1.9%
민 590
 
1.9%
재 564
 
1.8%
Other values (287) 22116
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29699
94.8%
Space Separator 518
 
1.7%
Uppercase Letter 494
 
1.6%
Other Punctuation 429
 
1.4%
Control 132
 
0.4%
Decimal Number 46
 
0.1%
Close Punctuation 13
 
< 0.1%
Open Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 2244
 
7.6%
이 1347
 
4.5%
정 995
 
3.4%
박 753
 
2.5%
영 746
 
2.5%
성 743
 
2.5%
현 645
 
2.2%
최 601
 
2.0%
민 590
 
2.0%
재 564
 
1.9%
Other values (253) 20471
68.9%
Uppercase Letter
ValueCountFrequency (%)
N 80
16.2%
I 73
14.8%
A 43
8.7%
H 41
8.3%
G 41
8.3%
U 35
 
7.1%
E 24
 
4.9%
O 24
 
4.9%
C 19
 
3.8%
L 18
 
3.6%
Other values (15) 96
19.4%
Decimal Number
ValueCountFrequency (%)
1 33
71.7%
2 12
 
26.1%
4 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 427
99.5%
. 2
 
0.5%
Space Separator
ValueCountFrequency (%)
518
100.0%
Control
ValueCountFrequency (%)
132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29699
94.8%
Common 1151
 
3.7%
Latin 494
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 2244
 
7.6%
이 1347
 
4.5%
정 995
 
3.4%
박 753
 
2.5%
영 746
 
2.5%
성 743
 
2.5%
현 645
 
2.2%
최 601
 
2.0%
민 590
 
2.0%
재 564
 
1.9%
Other values (253) 20471
68.9%
Latin
ValueCountFrequency (%)
N 80
16.2%
I 73
14.8%
A 43
8.7%
H 41
8.3%
G 41
8.3%
U 35
 
7.1%
E 24
 
4.9%
O 24
 
4.9%
C 19
 
3.8%
L 18
 
3.6%
Other values (15) 96
19.4%
Common
ValueCountFrequency (%)
518
45.0%
, 427
37.1%
132
 
11.5%
1 33
 
2.9%
) 13
 
1.1%
( 13
 
1.1%
2 12
 
1.0%
. 2
 
0.2%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29699
94.8%
ASCII 1645
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 2244
 
7.6%
이 1347
 
4.5%
정 995
 
3.4%
박 753
 
2.5%
영 746
 
2.5%
성 743
 
2.5%
현 645
 
2.2%
최 601
 
2.0%
민 590
 
2.0%
재 564
 
1.9%
Other values (253) 20471
68.9%
ASCII
ValueCountFrequency (%)
518
31.5%
, 427
26.0%
132
 
8.0%
N 80
 
4.9%
I 73
 
4.4%
A 43
 
2.6%
H 41
 
2.5%
G 41
 
2.5%
U 35
 
2.1%
1 33
 
2.0%
Other values (24) 222
13.5%

업종대분류명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.5 KiB
외식
7599 
서비스
1439 
도소매
 
480

Length

Max length3
Median length2
Mean length2.201618
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row외식
2nd row서비스
3rd row외식
4th row외식
5th row외식

Common Values

ValueCountFrequency (%)
외식 7599
79.8%
서비스 1439
 
15.1%
도소매 480
 
5.0%

Length

2024-05-10T20:39:36.499213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:39:36.806977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외식 7599
79.8%
서비스 1439
 
15.1%
도소매 480
 
5.0%

업종중분류명
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size74.5 KiB
한식
2743 
기타 외식
1337 
분식
565 
커피
521 
치킨
518 
Other values (38)
3834 

Length

Max length12
Median length2
Mean length3.3432444
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row기타 외식
2nd rowPC방
3rd row한식
4th row커피
5th row기타 외식

Common Values

ValueCountFrequency (%)
한식 2743
28.8%
기타 외식 1337
14.0%
분식 565
 
5.9%
커피 521
 
5.5%
치킨 518
 
5.4%
기타 서비스 368
 
3.9%
일식 323
 
3.4%
기타도소매 317
 
3.3%
주점 306
 
3.2%
제과제빵 290
 
3.0%
Other values (33) 2230
23.4%

Length

2024-05-10T20:39:37.071814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 2743
22.2%
기타 2055
16.6%
외식 1337
10.8%
커피 574
 
4.6%
분식 565
 
4.6%
치킨 518
 
4.2%
교육 431
 
3.5%
서비스 368
 
3.0%
일식 323
 
2.6%
기타도소매 317
 
2.6%
Other values (40) 3128
25.3%

정제지번주소
Text

Distinct2786
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size74.5 KiB
2024-05-10T20:39:37.593524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length22.059571
Min length8

Characters and Unicode

Total characters209963
Distinct characters405
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

Unique1000 ?
Unique (%)10.5%

Sample

1st row경기도 안산시 상록구 사동 1519-8번지
2nd row경기도 성남시 중원구 성남동 4132번지
3rd row경기도 남양주시 화도읍 가곡리 284-62번지
4th row경기도 수원시 팔달구 화서동 135-2번지
5th row경기도 안산시 단원구 선부동 1087-29번지
ValueCountFrequency (%)
경기도 9518
 
21.1%
성남시 1096
 
2.4%
용인시 873
 
1.9%
고양시 797
 
1.8%
수원시 758
 
1.7%
화성시 627
 
1.4%
부천시 598
 
1.3%
안산시 516
 
1.1%
분당구 516
 
1.1%
광주시 464
 
1.0%
Other values (3479) 29328
65.0%
2024-05-10T20:39:38.863680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35588
 
16.9%
기 9976
 
4.8%
지 9881
 
4.7%
도 9855
 
4.7%
시 9801
 
4.7%
경 9527
 
4.5%
번 9426
 
4.5%
동 8971
 
4.3%
1 7531
 
3.6%
- 6874
 
3.3%
Other values (395) 92533
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129429
61.6%
Decimal Number 37955
 
18.1%
Space Separator 35588
 
16.9%
Dash Punctuation 6874
 
3.3%
Uppercase Letter 66
 
< 0.1%
Lowercase Letter 26
 
< 0.1%
Other Punctuation 21
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 9976
 
7.7%
지 9881
 
7.6%
도 9855
 
7.6%
시 9801
 
7.6%
경 9527
 
7.4%
번 9426
 
7.3%
동 8971
 
6.9%
구 5340
 
4.1%
양 2637
 
2.0%
원 2414
 
1.9%
Other values (355) 51601
39.9%
Uppercase Letter
ValueCountFrequency (%)
N 12
18.2%
P 8
12.1%
U 8
12.1%
G 8
12.1%
S 6
9.1%
Y 4
 
6.1%
E 4
 
6.1%
K 4
 
6.1%
C 2
 
3.0%
O 2
 
3.0%
Other values (5) 8
12.1%
Decimal Number
ValueCountFrequency (%)
1 7531
19.8%
2 4603
12.1%
5 4255
11.2%
3 3847
10.1%
4 3494
9.2%
6 3180
8.4%
7 3155
8.3%
8 2703
 
7.1%
0 2651
 
7.0%
9 2536
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
19.2%
m 4
15.4%
c 3
11.5%
a 3
11.5%
l 3
11.5%
t 3
11.5%
u 2
 
7.7%
i 2
 
7.7%
s 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 12
57.1%
, 9
42.9%
Space Separator
ValueCountFrequency (%)
35588
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6874
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129429
61.6%
Common 80442
38.3%
Latin 92
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 9976
 
7.7%
지 9881
 
7.6%
도 9855
 
7.6%
시 9801
 
7.6%
경 9527
 
7.4%
번 9426
 
7.3%
동 8971
 
6.9%
구 5340
 
4.1%
양 2637
 
2.0%
원 2414
 
1.9%
Other values (355) 51601
39.9%
Latin
ValueCountFrequency (%)
N 12
13.0%
P 8
 
8.7%
U 8
 
8.7%
G 8
 
8.7%
S 6
 
6.5%
e 5
 
5.4%
m 4
 
4.3%
Y 4
 
4.3%
E 4
 
4.3%
K 4
 
4.3%
Other values (14) 29
31.5%
Common
ValueCountFrequency (%)
35588
44.2%
1 7531
 
9.4%
- 6874
 
8.5%
2 4603
 
5.7%
5 4255
 
5.3%
3 3847
 
4.8%
4 3494
 
4.3%
6 3180
 
4.0%
7 3155
 
3.9%
8 2703
 
3.4%
Other values (6) 5212
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129429
61.6%
ASCII 80534
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35588
44.2%
1 7531
 
9.4%
- 6874
 
8.5%
2 4603
 
5.7%
5 4255
 
5.3%
3 3847
 
4.8%
4 3494
 
4.3%
6 3180
 
3.9%
7 3155
 
3.9%
8 2703
 
3.4%
Other values (30) 5304
 
6.6%
Hangul
ValueCountFrequency (%)
기 9976
 
7.7%
지 9881
 
7.6%
도 9855
 
7.6%
시 9801
 
7.6%
경 9527
 
7.4%
번 9426
 
7.3%
동 8971
 
6.9%
구 5340
 
4.1%
양 2637
 
2.0%
원 2414
 
1.9%
Other values (355) 51601
39.9%

정제도로명주소
Text

MISSING 

Distinct2574
Distinct (%)29.1%
Missing664
Missing (%)7.0%
Memory size74.5 KiB
2024-05-10T20:39:39.426381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length20.170657
Min length13

Characters and Unicode

Total characters178591
Distinct characters359
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique913 ?
Unique (%)10.3%

Sample

1st row경기도 안산시 상록구 천문2길 56
2nd row경기도 성남시 중원구 산성대로 80
3rd row경기도 남양주시 화도읍 가곡로 66-4
4th row경기도 수원시 팔달구 화양로 17-2
5th row경기도 안산시 단원구 선부로 199
ValueCountFrequency (%)
경기도 8854
 
21.3%
성남시 1055
 
2.5%
용인시 842
 
2.0%
고양시 751
 
1.8%
수원시 685
 
1.6%
화성시 585
 
1.4%
안산시 508
 
1.2%
분당구 478
 
1.2%
부천시 478
 
1.2%
남양주시 425
 
1.0%
Other values (2903) 26875
64.7%
2024-05-10T20:39:40.501398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32682
18.3%
기 9368
 
5.2%
시 9247
 
5.2%
도 9141
 
5.1%
경 9053
 
5.1%
로 8113
 
4.5%
1 6927
 
3.9%
구 4955
 
2.8%
2 4590
 
2.6%
길 4048
 
2.3%
Other values (349) 80467
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111148
62.2%
Decimal Number 32797
 
18.4%
Space Separator 32682
 
18.3%
Dash Punctuation 1963
 
1.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 9368
 
8.4%
시 9247
 
8.3%
도 9141
 
8.2%
경 9053
 
8.1%
로 8113
 
7.3%
구 4955
 
4.5%
길 4048
 
3.6%
번 3056
 
2.7%
양 2314
 
2.1%
남 2255
 
2.0%
Other values (336) 49598
44.6%
Decimal Number
ValueCountFrequency (%)
1 6927
21.1%
2 4590
14.0%
3 3628
11.1%
5 3317
10.1%
4 3077
9.4%
7 2511
 
7.7%
6 2426
 
7.4%
8 2305
 
7.0%
0 2187
 
6.7%
9 1829
 
5.6%
Space Separator
ValueCountFrequency (%)
32682
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1963
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111148
62.2%
Common 67443
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 9368
 
8.4%
시 9247
 
8.3%
도 9141
 
8.2%
경 9053
 
8.1%
로 8113
 
7.3%
구 4955
 
4.5%
길 4048
 
3.6%
번 3056
 
2.7%
양 2314
 
2.1%
남 2255
 
2.0%
Other values (336) 49598
44.6%
Common
ValueCountFrequency (%)
32682
48.5%
1 6927
 
10.3%
2 4590
 
6.8%
3 3628
 
5.4%
5 3317
 
4.9%
4 3077
 
4.6%
7 2511
 
3.7%
6 2426
 
3.6%
8 2305
 
3.4%
0 2187
 
3.2%
Other values (3) 3793
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111148
62.2%
ASCII 67443
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32682
48.5%
1 6927
 
10.3%
2 4590
 
6.8%
3 3628
 
5.4%
5 3317
 
4.9%
4 3077
 
4.6%
7 2511
 
3.7%
6 2426
 
3.6%
8 2305
 
3.4%
0 2187
 
3.2%
Other values (3) 3793
 
5.6%
Hangul
ValueCountFrequency (%)
기 9368
 
8.4%
시 9247
 
8.3%
도 9141
 
8.2%
경 9053
 
8.1%
로 8113
 
7.3%
구 4955
 
4.5%
길 4048
 
3.6%
번 3056
 
2.7%
양 2314
 
2.1%
남 2255
 
2.0%
Other values (336) 49598
44.6%

정제우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1575
Distinct (%)16.7%
Missing99
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean14171.512
Minimum10005
Maximum18632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.8 KiB
2024-05-10T20:39:40.960044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10005
5-th percentile10206
Q112178
median14055
Q316489
95-th percentile18387
Maximum18632
Range8627
Interquartile range (IQR)4311

Descriptive statistics

Standard deviation2514.3777
Coefficient of variation (CV)0.17742481
Kurtosis-1.0794446
Mean14171.512
Median Absolute Deviation (MAD)2132
Skewness0.018597806
Sum1.3348147 × 108
Variance6322095.4
MonotonicityNot monotonic
2024-05-10T20:39:41.307256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17166 144
 
1.5%
13426 98
 
1.0%
14543 91
 
1.0%
17149 80
 
0.8%
13558 64
 
0.7%
18469 62
 
0.7%
12918 62
 
0.7%
14548 59
 
0.6%
13647 59
 
0.6%
10113 58
 
0.6%
Other values (1565) 8642
90.8%
(Missing) 99
 
1.0%
ValueCountFrequency (%)
10005 7
 
0.1%
10011 7
 
0.1%
10013 6
 
0.1%
10014 19
0.2%
10015 4
 
< 0.1%
10017 2
 
< 0.1%
10023 6
 
0.1%
10029 2
 
< 0.1%
10030 4
 
< 0.1%
10035 2
 
< 0.1%
ValueCountFrequency (%)
18632 1
 
< 0.1%
18624 6
0.1%
18617 3
 
< 0.1%
18606 13
0.1%
18602 5
 
0.1%
18598 10
0.1%
18594 3
 
< 0.1%
18593 2
 
< 0.1%
18589 1
 
< 0.1%
18584 2
 
< 0.1%

정제WGS84경도
Real number (ℝ)

MISSING 

Distinct2751
Distinct (%)29.3%
Missing114
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean127.00334
Minimum126.54609
Maximum127.65674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.8 KiB
2024-05-10T20:39:41.649747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.54609
5-th percentile126.71507
Q1126.83109
median127.03903
Q3127.13881
95-th percentile127.29577
Maximum127.65674
Range1.1106472
Interquartile range (IQR)0.30772026

Descriptive statistics

Standard deviation0.18636867
Coefficient of variation (CV)0.0014674313
Kurtosis-0.70875473
Mean127.00334
Median Absolute Deviation (MAD)0.13750547
Skewness-0.061433402
Sum1194339.4
Variance0.034733282
MonotonicityNot monotonic
2024-05-10T20:39:42.086133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.335620671 125
 
1.3%
127.1514947821 92
 
1.0%
127.221064822 80
 
0.8%
126.7495282581 70
 
0.7%
126.8289211675 53
 
0.6%
127.0977389498 41
 
0.4%
127.1698572002 41
 
0.4%
126.7914594723 40
 
0.4%
126.918491973 36
 
0.4%
127.1827170463 33
 
0.3%
Other values (2741) 8793
92.4%
(Missing) 114
 
1.2%
ValueCountFrequency (%)
126.5460934539 2
 
< 0.1%
126.5637744895 1
 
< 0.1%
126.5682959426 4
< 0.1%
126.5693103223 2
 
< 0.1%
126.5727284544 5
0.1%
126.5729854844 2
 
< 0.1%
126.5732400435 1
 
< 0.1%
126.576688222 3
< 0.1%
126.593243362 4
< 0.1%
126.5968683519 2
 
< 0.1%
ValueCountFrequency (%)
127.6567406723 1
 
< 0.1%
127.6441739345 2
 
< 0.1%
127.6325168591 2
 
< 0.1%
127.6319470185 4
< 0.1%
127.6311049855 2
 
< 0.1%
127.6294281328 1
 
< 0.1%
127.6291308225 1
 
< 0.1%
127.6027480234 1
 
< 0.1%
127.5362332631 5
0.1%
127.5128414607 1
 
< 0.1%

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct2751
Distinct (%)29.3%
Missing114
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean37.433993
Minimum36.962013
Maximum38.032909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.8 KiB
2024-05-10T20:39:42.645816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.962013
5-th percentile37.181485
Q137.29553
median37.400085
Q337.603752
95-th percentile37.745196
Maximum38.032909
Range1.0708962
Interquartile range (IQR)0.30822198

Descriptive statistics

Standard deviation0.19073782
Coefficient of variation (CV)0.0050953105
Kurtosis-0.46399224
Mean37.433993
Median Absolute Deviation (MAD)0.1292055
Skewness0.20384758
Sum352029.27
Variance0.036380915
MonotonicityNot monotonic
2024-05-10T20:39:43.094913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.1814846951 125
 
1.3%
37.4158269578 92
 
1.0%
37.2472263758 80
 
0.8%
37.5065004989 70
 
0.7%
37.3087862371 53
 
0.6%
37.207913038 41
 
0.4%
37.436719428 41
 
0.4%
37.5016398102 40
 
0.4%
37.3945034942 36
 
0.4%
37.5526520126 33
 
0.3%
Other values (2741) 8793
92.4%
(Missing) 114
 
1.2%
ValueCountFrequency (%)
36.9620126816 1
 
< 0.1%
36.9634889657 3
< 0.1%
36.9642205497 2
< 0.1%
36.9699924629 1
 
< 0.1%
36.9791383081 4
< 0.1%
36.9862815791 4
< 0.1%
36.9863506051 1
 
< 0.1%
36.9864201606 2
< 0.1%
36.9866242231 1
 
< 0.1%
36.9872259459 1
 
< 0.1%
ValueCountFrequency (%)
38.0329089271 1
 
< 0.1%
38.0252216894 1
 
< 0.1%
38.009168903 4
 
< 0.1%
37.9882479302 3
 
< 0.1%
37.9405138291 2
 
< 0.1%
37.9059943775 4
 
< 0.1%
37.9052587212 28
0.3%
37.9034800644 1
 
< 0.1%
37.9016979407 16
0.2%
37.8977076674 4
 
< 0.1%

Interactions

2024-05-10T20:39:24.877465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:19.517309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:20.798871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:22.164448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:23.533117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:25.130443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:19.758411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:21.044803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:22.463570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:23.817225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:25.410863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:20.019957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:21.307852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:22.732990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:24.088149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:25.680285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:20.299090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:21.569411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:22.986785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:24.347222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:25.991636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:20.554925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:21.824600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:23.255335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:39:24.632291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T20:39:43.369335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도사업자등록일자전화번호업종대분류명업종중분류명정제우편번호정제WGS84경도정제WGS84위도
기준년도1.0000.1910.0280.0230.0000.0320.0000.025
사업자등록일자0.1911.0000.1100.1470.3710.2870.3060.255
전화번호0.0280.1101.0000.2080.2430.1150.0870.109
업종대분류명0.0230.1470.2081.0001.0000.1600.1470.105
업종중분류명0.0000.3710.2431.0001.0000.3440.3280.277
정제우편번호0.0320.2870.1150.1600.3441.0000.8590.922
정제WGS84경도0.0000.3060.0870.1470.3280.8591.0000.675
정제WGS84위도0.0250.2550.1090.1050.2770.9220.6751.000
2024-05-10T20:39:43.668074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도업종중분류명업종대분류명
기준년도1.0000.0000.022
업종중분류명0.0001.0000.998
업종대분류명0.0220.9981.000
2024-05-10T20:39:43.934530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자등록일자전화번호정제우편번호정제WGS84경도정제WGS84위도기준년도업종대분류명업종중분류명
사업자등록일자1.000-0.0390.073-0.091-0.0570.0860.0970.152
전화번호-0.0391.000-0.0450.0180.0350.0260.0650.122
정제우편번호0.073-0.0451.0000.194-0.9150.0190.0960.125
정제WGS84경도-0.0910.0180.1941.000-0.2540.0000.0880.119
정제WGS84위도-0.0570.035-0.915-0.2541.0000.0150.0620.099
기준년도0.0860.0260.0190.0000.0151.0000.0220.000
업종대분류명0.0970.0650.0960.0880.0620.0221.0000.998
업종중분류명0.1520.1220.1250.1190.0990.0000.9981.000

Missing values

2024-05-10T20:39:26.457098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T20:39:27.150398image/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.
2024-05-10T20:39:27.760327image/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

기준년도법인명브랜드명사업자등록일자전화번호대표자명업종대분류명업종중분류명정제지번주소정제도로명주소정제우편번호정제WGS84경도정제WGS84위도
02023착한맘굿쉐프불공장20170601315014592오영배외식기타 외식경기도 안산시 상록구 사동 1519-8번지경기도 안산시 상록구 천문2길 5615497126.84697637.306255
12023(주)라온하랑유지트PC(UZIT PC)2021042116610413강신창서비스PC방경기도 성남시 중원구 성남동 4132번지경기도 성남시 중원구 산성대로 8013376127.1281337.433044
22023(주)따순둥푸드버거형의 어쩌다 소고기국밥20180801315923351신기수외식한식경기도 남양주시 화도읍 가곡리 284-62번지경기도 남양주시 화도읍 가곡로 66-412032127.30279137.686169
32023욤(Yom)욤카페202105040신재원외식커피경기도 수원시 팔달구 화서동 135-2번지경기도 수원시 팔달구 화양로 17-216443126.99787437.279959
42023(주)에스피에프엔비냉면입니다2022030115445871김혁외식기타 외식경기도 안산시 단원구 선부동 1087-29번지경기도 안산시 단원구 선부로 19915217126.81710137.341835
52023젤라또로플젤라또로플2021092840077456전영하외식아이스크림/빙수경기도 양주시 옥정동 966-2번지경기도 양주시 옥정동로7나길 1511473127.09339437.8202
62023냠냠족발냠냠족발&보쌈2019100218335991박형규외식한식경기도 화성시 봉담읍 상리 15-45번지경기도 화성시 봉담읍 상봉길 1818316126.95145337.216484
72023(주)여러시멘야카오리20161012317526114이수열외식일식경기도 성남시 분당구 야탑동 358-3번지경기도 성남시 분당구 야탑로81번길 1013497127.12821937.410591
82023완도맛집김서영 완도맛집201710250김서영외식한식경기도 고양시 일산서구 가좌동 453-4번지경기도 고양시 일산서구 가좌로 6210208126.71919337.692005
92023(주)엔에이치에프이선생맥주2013090124715930이나희외식치킨경기도 광명시 철산동 402번지경기도 광명시 오리로856번길 2114237126.86902937.475616
기준년도법인명브랜드명사업자등록일자전화번호대표자명업종대분류명업종중분류명정제지번주소정제도로명주소정제우편번호정제WGS84경도정제WGS84위도
95082020늘꿈아티스아티스(Arty&#39;s)20190515315666365최희정서비스기타 교육경기도 구리시 수택동 873-6번지경기도 구리시 장자대로86번길 5411948127.13830937.586649
95092020(주)정담육감만족2015081816669212이광태외식기타 외식경기도 광주시 목현동 260-18번지경기도 광주시 이배재로 41012765127.21436937.43442
95102020(주)애채라스베이글20180718216446847권오균외식커피경기도 고양시 덕양구 화전동 549-22번지경기도 고양시 덕양구 중앙로 20110540126.86773537.604826
95112020(주)웨이브밀플랜비2016101816617164박동현외식패스트푸드경기도 화성시 남양읍 장덕리 62-1번지경기도 화성시 남양읍 현대연구소로 65-518278126.81799337.167864
95122020대현패밀리(주)퀸즈브라운201407087049088844신대원외식커피경기도 용인시 기흥구 보정동 1197-2번지경기도 용인시 기흥구 죽전로 1716897127.11078437.320739
95132020닭촌축산치킨멤버2019020716009299손태호외식치킨경기도 시흥시 방산동 507-2번지경기도 시흥시 신현로 355-5014957126.76713337.414988
95142020탄계명가숯불에닭2016010515223145김현미외식한식경기도 김포시 양촌읍 유현리 391-1번지경기도 김포시 양촌읍 유현삭시로273번길 210045126.61392337.637885
95152020(주)비피알바푸리뽕앤까스2012112915447253현미숙외식기타 외식경기도 부천시 오정구 삼정동 18-8번지경기도 부천시 오정구 석천로453번길 4914445126.76733737.527334
95162020(주)마이푸드내가찜한닭20170101314878664편도권외식한식경기도 안산시 상록구 장상동 365-2번지경기도 안산시 상록구 동막2길 28-1115201126.8777337.34811
95172020(주)아람푸드여장군20190704312768805윤상호외식한식경기도 광주시 초월읍 무갑리 459-3번지경기도 광주시 초월읍 무갑길 10312730127.31888137.421069