Overview

Dataset statistics

Number of variables14
Number of observations1006
Missing cells830
Missing cells (%)5.9%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory114.1 KiB
Average record size in memory116.1 B

Variable types

Text6
Categorical4
Numeric4

Dataset

Description경기도 선한영향력가게 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=ZFR12Y2JA4AKZVZXTHIE32159755&infSeq=1

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates
정제우편번호 is highly overall correlated with 정제WGS84위도 and 1 other fieldsHigh correlation
정제WGS84위도 is highly overall correlated with 정제우편번호 and 1 other fieldsHigh correlation
정제WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 정제우편번호 and 2 other fieldsHigh correlation
제공대상1 is highly overall correlated with 제공대상2High correlation
제공대상2 is highly overall correlated with 제공대상1High correlation
제공대상1 is highly imbalanced (62.1%)Imbalance
제공대상2 is highly imbalanced (70.7%)Imbalance
정제도로명주소 has 82 (8.2%) missing valuesMissing
상세주소 has 81 (8.1%) missing valuesMissing
영업시간 has 57 (5.7%) missing valuesMissing
제공품목 has 21 (2.1%) missing valuesMissing
사업자등록번호 has 567 (56.4%) missing valuesMissing

Reproduction

Analysis started2024-03-12 23:52:01.645224
Analysis finished2024-03-12 23:52:04.829468
Duration3.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호명
Text

Distinct993
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2024-03-13T08:52:04.981488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length19
Mean length7.6292247
Min length2

Characters and Unicode

Total characters7675
Distinct characters700
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique982 ?
Unique (%)97.6%

Sample

1st row시골순대 (사리역점)
2nd row오브제
3rd row동동국수집 롯데구리점
4th row미스터신돈까스
5th row메리제인스튜디오
ValueCountFrequency (%)
프랑킨숯불양념구이치킨 6
 
0.4%
반달커피 6
 
0.4%
김포장기점 5
 
0.4%
동탄호수공원점 5
 
0.4%
다비치안경 4
 
0.3%
효자동설렁탕 4
 
0.3%
테그42 3
 
0.2%
자담치킨 3
 
0.2%
안산고잔점 3
 
0.2%
3
 
0.2%
Other values (1270) 1351
97.0%
2024-03-13T08:52:05.301973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
387
 
5.0%
점 354
 
4.6%
이 153
 
2.0%
스 128
 
1.7%
리 108
 
1.4%
수 90
 
1.2%
피 83
 
1.1%
동 81
 
1.1%
원 75
 
1.0%
마 74
 
1.0%
Other values (690) 6142
80.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6826
88.9%
Space Separator 387
 
5.0%
Decimal Number 151
 
2.0%
Uppercase Letter 104
 
1.4%
Lowercase Letter 81
 
1.1%
Close Punctuation 44
 
0.6%
Open Punctuation 44
 
0.6%
Other Punctuation 34
 
0.4%
Dash Punctuation 3
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 354
 
5.2%
이 153
 
2.2%
스 128
 
1.9%
리 108
 
1.6%
수 90
 
1.3%
피 83
 
1.2%
동 81
 
1.2%
원 75
 
1.1%
마 74
 
1.1%
치 71
 
1.0%
Other values (626) 5609
82.2%
Uppercase Letter
ValueCountFrequency (%)
S 10
 
9.6%
O 8
 
7.7%
C 8
 
7.7%
N 7
 
6.7%
E 6
 
5.8%
L 6
 
5.8%
U 6
 
5.8%
B 6
 
5.8%
R 6
 
5.8%
A 5
 
4.8%
Other values (12) 36
34.6%
Lowercase Letter
ValueCountFrequency (%)
n 10
12.3%
e 9
11.1%
i 7
 
8.6%
o 7
 
8.6%
a 7
 
8.6%
c 5
 
6.2%
t 5
 
6.2%
s 4
 
4.9%
l 4
 
4.9%
y 4
 
4.9%
Other values (10) 19
23.5%
Decimal Number
ValueCountFrequency (%)
1 35
23.2%
2 25
16.6%
9 20
13.2%
5 16
10.6%
0 15
9.9%
4 12
 
7.9%
3 10
 
6.6%
8 7
 
4.6%
6 6
 
4.0%
7 5
 
3.3%
Other Punctuation
ValueCountFrequency (%)
& 16
47.1%
. 7
20.6%
, 4
 
11.8%
/ 3
 
8.8%
# 2
 
5.9%
? 1
 
2.9%
: 1
 
2.9%
Space Separator
ValueCountFrequency (%)
387
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6825
88.9%
Common 664
 
8.7%
Latin 185
 
2.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 354
 
5.2%
이 153
 
2.2%
스 128
 
1.9%
리 108
 
1.6%
수 90
 
1.3%
피 83
 
1.2%
동 81
 
1.2%
원 75
 
1.1%
마 74
 
1.1%
치 71
 
1.0%
Other values (625) 5608
82.2%
Latin
ValueCountFrequency (%)
n 10
 
5.4%
S 10
 
5.4%
e 9
 
4.9%
O 8
 
4.3%
C 8
 
4.3%
i 7
 
3.8%
o 7
 
3.8%
a 7
 
3.8%
N 7
 
3.8%
E 6
 
3.2%
Other values (32) 106
57.3%
Common
ValueCountFrequency (%)
387
58.3%
) 44
 
6.6%
( 44
 
6.6%
1 35
 
5.3%
2 25
 
3.8%
9 20
 
3.0%
& 16
 
2.4%
5 16
 
2.4%
0 15
 
2.3%
4 12
 
1.8%
Other values (12) 50
 
7.5%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6825
88.9%
ASCII 849
 
11.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
387
45.6%
) 44
 
5.2%
( 44
 
5.2%
1 35
 
4.1%
2 25
 
2.9%
9 20
 
2.4%
& 16
 
1.9%
5 16
 
1.9%
0 15
 
1.8%
4 12
 
1.4%
Other values (54) 235
27.7%
Hangul
ValueCountFrequency (%)
점 354
 
5.2%
이 153
 
2.2%
스 128
 
1.9%
리 108
 
1.6%
수 90
 
1.3%
피 83
 
1.2%
동 81
 
1.2%
원 75
 
1.1%
마 74
 
1.1%
치 71
 
1.0%
Other values (625) 5608
82.2%
CJK
ValueCountFrequency (%)
家 1
100.0%

업종명
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
식음료
779 
기타
115 
생활
 
69
교육
 
43

Length

Max length3
Median length3
Mean length2.7743539
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식음료
2nd row식음료
3rd row식음료
4th row식음료
5th row생활

Common Values

ValueCountFrequency (%)
식음료 779
77.4%
기타 115
 
11.4%
생활 69
 
6.9%
교육 43
 
4.3%

Length

2024-03-13T08:52:05.406602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:52:05.487266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식음료 779
77.4%
기타 115
 
11.4%
생활 69
 
6.9%
교육 43
 
4.3%

시군명
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
화성시
101 
수원시
97 
고양시
82 
용인시
73 
남양주시
 
59
Other values (24)
594 

Length

Max length4
Median length3
Mean length3.0944334
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row안산시
2nd row수원시
3rd row구리시
4th row성남시
5th row성남시

Common Values

ValueCountFrequency (%)
화성시 101
 
10.0%
수원시 97
 
9.6%
고양시 82
 
8.2%
용인시 73
 
7.3%
남양주시 59
 
5.9%
평택시 56
 
5.6%
성남시 54
 
5.4%
안산시 51
 
5.1%
부천시 46
 
4.6%
김포시 44
 
4.4%
Other values (19) 343
34.1%

Length

2024-03-13T08:52:05.570240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 101
 
10.0%
수원시 97
 
9.6%
고양시 82
 
8.2%
용인시 73
 
7.3%
남양주시 59
 
5.9%
평택시 56
 
5.6%
성남시 54
 
5.4%
안산시 51
 
5.1%
부천시 46
 
4.6%
김포시 44
 
4.4%
Other values (19) 343
34.1%

정제도로명주소
Text

MISSING 

Distinct886
Distinct (%)95.9%
Missing82
Missing (%)8.2%
Memory size8.0 KiB
2024-03-13T08:52:05.825053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length19.616883
Min length13

Characters and Unicode

Total characters18126
Distinct characters289
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

Unique853 ?
Unique (%)92.3%

Sample

1st row경기도 안산시 상록구 충장로 80
2nd row경기도 수원시 팔달구 화서문로 20
3rd row경기도 구리시 경춘로 261
4th row경기도 성남시 분당구 판교공원로5길 35
5th row경기도 성남시 분당구 미금일로90번길 32
ValueCountFrequency (%)
경기도 924
 
22.0%
화성시 88
 
2.1%
수원시 87
 
2.1%
고양시 77
 
1.8%
용인시 64
 
1.5%
남양주시 54
 
1.3%
평택시 53
 
1.3%
안산시 51
 
1.2%
성남시 50
 
1.2%
김포시 42
 
1.0%
Other values (1275) 2719
64.6%
2024-03-13T08:52:06.197076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3285
18.1%
시 969
 
5.3%
경 968
 
5.3%
기 962
 
5.3%
도 944
 
5.2%
로 845
 
4.7%
1 702
 
3.9%
2 532
 
2.9%
길 440
 
2.4%
구 384
 
2.1%
Other values (279) 8095
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11271
62.2%
Decimal Number 3357
 
18.5%
Space Separator 3285
 
18.1%
Dash Punctuation 212
 
1.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 969
 
8.6%
경 968
 
8.6%
기 962
 
8.5%
도 944
 
8.4%
로 845
 
7.5%
길 440
 
3.9%
구 384
 
3.4%
번 312
 
2.8%
양 259
 
2.3%
안 199
 
1.8%
Other values (266) 4989
44.3%
Decimal Number
ValueCountFrequency (%)
1 702
20.9%
2 532
15.8%
3 357
10.6%
4 311
9.3%
5 282
8.4%
7 270
 
8.0%
6 240
 
7.1%
8 233
 
6.9%
0 216
 
6.4%
9 214
 
6.4%
Space Separator
ValueCountFrequency (%)
3285
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11271
62.2%
Common 6855
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 969
 
8.6%
경 968
 
8.6%
기 962
 
8.5%
도 944
 
8.4%
로 845
 
7.5%
길 440
 
3.9%
구 384
 
3.4%
번 312
 
2.8%
양 259
 
2.3%
안 199
 
1.8%
Other values (266) 4989
44.3%
Common
ValueCountFrequency (%)
3285
47.9%
1 702
 
10.2%
2 532
 
7.8%
3 357
 
5.2%
4 311
 
4.5%
5 282
 
4.1%
7 270
 
3.9%
6 240
 
3.5%
8 233
 
3.4%
0 216
 
3.2%
Other values (3) 427
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11271
62.2%
ASCII 6855
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3285
47.9%
1 702
 
10.2%
2 532
 
7.8%
3 357
 
5.2%
4 311
 
4.5%
5 282
 
4.1%
7 270
 
3.9%
6 240
 
3.5%
8 233
 
3.4%
0 216
 
3.2%
Other values (3) 427
 
6.2%
Hangul
ValueCountFrequency (%)
시 969
 
8.6%
경 968
 
8.6%
기 962
 
8.5%
도 944
 
8.4%
로 845
 
7.5%
길 440
 
3.9%
구 384
 
3.4%
번 312
 
2.8%
양 259
 
2.3%
안 199
 
1.8%
Other values (266) 4989
44.3%

정제지번주소
Text

Distinct964
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
2024-03-13T08:52:06.444625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length21.372763
Min length14

Characters and Unicode

Total characters21501
Distinct characters313
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

Unique929 ?
Unique (%)92.3%

Sample

1st row경기도 안산시 상록구 본오동 939-4번지
2nd row경기도 수원시 팔달구 신풍동 116-2번지
3rd row경기도 구리시 인창동 677번지
4th row경기도 성남시 분당구 판교동 619
5th row경기도 성남시 분당구 구미동 30번지
ValueCountFrequency (%)
경기도 1006
 
21.6%
화성시 101
 
2.2%
수원시 97
 
2.1%
고양시 82
 
1.8%
용인시 73
 
1.6%
남양주시 59
 
1.3%
평택시 56
 
1.2%
성남시 54
 
1.2%
안산시 51
 
1.1%
부천시 46
 
1.0%
Other values (1440) 3029
65.1%
2024-03-13T08:52:06.803248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3648
 
17.0%
시 1053
 
4.9%
기 1051
 
4.9%
도 1031
 
4.8%
경 1010
 
4.7%
동 967
 
4.5%
지 857
 
4.0%
1 801
 
3.7%
번 796
 
3.7%
- 722
 
3.4%
Other values (303) 9565
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13034
60.6%
Decimal Number 4054
 
18.9%
Space Separator 3648
 
17.0%
Dash Punctuation 722
 
3.4%
Lowercase Letter 19
 
0.1%
Uppercase Letter 18
 
0.1%
Other Punctuation 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1053
 
8.1%
기 1051
 
8.1%
도 1031
 
7.9%
경 1010
 
7.7%
동 967
 
7.4%
지 857
 
6.6%
번 796
 
6.1%
구 422
 
3.2%
양 304
 
2.3%
산 216
 
1.7%
Other values (271) 5327
40.9%
Decimal Number
ValueCountFrequency (%)
1 801
19.8%
2 424
10.5%
3 409
10.1%
7 385
9.5%
6 382
9.4%
5 362
8.9%
8 349
8.6%
4 348
8.6%
0 299
 
7.4%
9 295
 
7.3%
Uppercase Letter
ValueCountFrequency (%)
C 6
33.3%
S 3
16.7%
P 2
 
11.1%
K 2
 
11.1%
A 1
 
5.6%
Y 1
 
5.6%
L 1
 
5.6%
E 1
 
5.6%
I 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
m 4
21.1%
e 3
15.8%
l 2
10.5%
t 2
10.5%
a 2
10.5%
i 2
10.5%
u 2
10.5%
c 2
10.5%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
, 2
40.0%
Space Separator
ValueCountFrequency (%)
3648
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 722
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13034
60.6%
Common 8430
39.2%
Latin 37
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1053
 
8.1%
기 1051
 
8.1%
도 1031
 
7.9%
경 1010
 
7.7%
동 967
 
7.4%
지 857
 
6.6%
번 796
 
6.1%
구 422
 
3.2%
양 304
 
2.3%
산 216
 
1.7%
Other values (271) 5327
40.9%
Latin
ValueCountFrequency (%)
C 6
16.2%
m 4
10.8%
e 3
 
8.1%
S 3
 
8.1%
P 2
 
5.4%
l 2
 
5.4%
t 2
 
5.4%
a 2
 
5.4%
i 2
 
5.4%
u 2
 
5.4%
Other values (7) 9
24.3%
Common
ValueCountFrequency (%)
3648
43.3%
1 801
 
9.5%
- 722
 
8.6%
2 424
 
5.0%
3 409
 
4.9%
7 385
 
4.6%
6 382
 
4.5%
5 362
 
4.3%
8 349
 
4.1%
4 348
 
4.1%
Other values (5) 600
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13034
60.6%
ASCII 8467
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3648
43.1%
1 801
 
9.5%
- 722
 
8.5%
2 424
 
5.0%
3 409
 
4.8%
7 385
 
4.5%
6 382
 
4.5%
5 362
 
4.3%
8 349
 
4.1%
4 348
 
4.1%
Other values (22) 637
 
7.5%
Hangul
ValueCountFrequency (%)
시 1053
 
8.1%
기 1051
 
8.1%
도 1031
 
7.9%
경 1010
 
7.7%
동 967
 
7.4%
지 857
 
6.6%
번 796
 
6.1%
구 422
 
3.2%
양 304
 
2.3%
산 216
 
1.7%
Other values (271) 5327
40.9%

상세주소
Text

MISSING 

Distinct769
Distinct (%)83.1%
Missing81
Missing (%)8.1%
Memory size8.0 KiB
2024-03-13T08:52:06.994254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length9.1837838
Min length2

Characters and Unicode

Total characters8495
Distinct characters610
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique747 ?
Unique (%)80.8%

Sample

1st row1층시골순대(본오동939-4)
2nd row2층 오브제
3rd row롯데백화점 지하1층 동동국수집
4th row1층 미스터신돈까스
5th row웰파크 2층
ValueCountFrequency (%)
1층 308
 
17.1%
2층 55
 
3.0%
101호 41
 
2.3%
102호 33
 
1.8%
104호 22
 
1.2%
105호 21
 
1.2%
3층 18
 
1.0%
103호 16
 
0.9%
상가 15
 
0.8%
지하1층 14
 
0.8%
Other values (1067) 1261
69.9%
2024-03-13T08:52:07.288731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 893
 
10.5%
879
 
10.3%
층 483
 
5.7%
호 416
 
4.9%
0 369
 
4.3%
2 257
 
3.0%
동 124
 
1.5%
3 115
 
1.4%
이 115
 
1.4%
스 112
 
1.3%
Other values (600) 4732
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5366
63.2%
Decimal Number 1964
 
23.1%
Space Separator 879
 
10.3%
Uppercase Letter 79
 
0.9%
Other Punctuation 61
 
0.7%
Lowercase Letter 43
 
0.5%
Open Punctuation 40
 
0.5%
Close Punctuation 38
 
0.4%
Dash Punctuation 21
 
0.2%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 483
 
9.0%
호 416
 
7.8%
동 124
 
2.3%
이 115
 
2.1%
스 112
 
2.1%
라 100
 
1.9%
자 95
 
1.8%
가 91
 
1.7%
상 75
 
1.4%
프 71
 
1.3%
Other values (548) 3684
68.7%
Uppercase Letter
ValueCountFrequency (%)
B 25
31.6%
A 13
16.5%
S 6
 
7.6%
D 5
 
6.3%
F 4
 
5.1%
K 3
 
3.8%
C 3
 
3.8%
N 3
 
3.8%
M 3
 
3.8%
T 2
 
2.5%
Other values (8) 12
15.2%
Lowercase Letter
ValueCountFrequency (%)
b 10
23.3%
c 8
18.6%
f 4
 
9.3%
a 3
 
7.0%
n 3
 
7.0%
s 3
 
7.0%
d 2
 
4.7%
o 2
 
4.7%
e 2
 
4.7%
k 2
 
4.7%
Other values (4) 4
 
9.3%
Decimal Number
ValueCountFrequency (%)
1 893
45.5%
0 369
18.8%
2 257
 
13.1%
3 115
 
5.9%
4 99
 
5.0%
5 73
 
3.7%
6 57
 
2.9%
7 45
 
2.3%
8 32
 
1.6%
9 24
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 43
70.5%
. 8
 
13.1%
& 5
 
8.2%
/ 4
 
6.6%
? 1
 
1.6%
Space Separator
ValueCountFrequency (%)
879
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5366
63.2%
Common 3007
35.4%
Latin 122
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 483
 
9.0%
호 416
 
7.8%
동 124
 
2.3%
이 115
 
2.1%
스 112
 
2.1%
라 100
 
1.9%
자 95
 
1.8%
가 91
 
1.7%
상 75
 
1.4%
프 71
 
1.3%
Other values (548) 3684
68.7%
Latin
ValueCountFrequency (%)
B 25
20.5%
A 13
 
10.7%
b 10
 
8.2%
c 8
 
6.6%
S 6
 
4.9%
D 5
 
4.1%
f 4
 
3.3%
F 4
 
3.3%
K 3
 
2.5%
a 3
 
2.5%
Other values (22) 41
33.6%
Common
ValueCountFrequency (%)
1 893
29.7%
879
29.2%
0 369
12.3%
2 257
 
8.5%
3 115
 
3.8%
4 99
 
3.3%
5 73
 
2.4%
6 57
 
1.9%
7 45
 
1.5%
, 43
 
1.4%
Other values (10) 177
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5366
63.2%
ASCII 3129
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 893
28.5%
879
28.1%
0 369
11.8%
2 257
 
8.2%
3 115
 
3.7%
4 99
 
3.2%
5 73
 
2.3%
6 57
 
1.8%
7 45
 
1.4%
, 43
 
1.4%
Other values (42) 299
 
9.6%
Hangul
ValueCountFrequency (%)
층 483
 
9.0%
호 416
 
7.8%
동 124
 
2.3%
이 115
 
2.1%
스 112
 
2.1%
라 100
 
1.9%
자 95
 
1.8%
가 91
 
1.7%
상 75
 
1.4%
프 71
 
1.3%
Other values (548) 3684
68.7%

영업시간
Text

MISSING 

Distinct624
Distinct (%)65.8%
Missing57
Missing (%)5.7%
Memory size8.0 KiB
2024-03-13T08:52:07.532402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length45
Mean length12.997893
Min length2

Characters and Unicode

Total characters12335
Distinct characters164
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique528 ?
Unique (%)55.6%

Sample

1st row09:30~21:00
2nd row15:00~22:00
3rd row10:30~19:30
4th row11:30~21:30
5th row11:00~18:00
ValueCountFrequency (%)
85
 
5.1%
평일 60
 
3.6%
오전 44
 
2.6%
11:00~21:00 35
 
2.1%
11:00~22:00 33
 
2.0%
오후 32
 
1.9%
10:00~21:00 30
 
1.8%
10:00~22:00 26
 
1.6%
주말 26
 
1.6%
10시 22
 
1.3%
Other values (675) 1277
76.5%
2024-03-13T08:52:07.867116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3273
26.5%
1 1634
13.2%
: 1422
11.5%
2 927
 
7.5%
~ 872
 
7.1%
721
 
5.8%
시 534
 
4.3%
3 386
 
3.1%
오 258
 
2.1%
9 218
 
1.8%
Other values (154) 2090
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6892
55.9%
Other Letter 2036
 
16.5%
Other Punctuation 1533
 
12.4%
Math Symbol 872
 
7.1%
Space Separator 721
 
5.8%
Dash Punctuation 152
 
1.2%
Lowercase Letter 47
 
0.4%
Uppercase Letter 29
 
0.2%
Open Punctuation 26
 
0.2%
Close Punctuation 26
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 534
26.2%
오 258
12.7%
일 163
 
8.0%
전 133
 
6.5%
후 123
 
6.0%
평 66
 
3.2%
분 64
 
3.1%
토 61
 
3.0%
월 59
 
2.9%
주 38
 
1.9%
Other values (124) 537
26.4%
Decimal Number
ValueCountFrequency (%)
0 3273
47.5%
1 1634
23.7%
2 927
 
13.5%
3 386
 
5.6%
9 218
 
3.2%
4 128
 
1.9%
8 122
 
1.8%
7 79
 
1.1%
5 67
 
1.0%
6 58
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 1422
92.8%
, 92
 
6.0%
/ 11
 
0.7%
. 6
 
0.4%
% 1
 
0.1%
? 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
m 24
51.1%
a 11
23.4%
p 10
21.3%
t 1
 
2.1%
o 1
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
M 12
41.4%
P 9
31.0%
A 8
27.6%
Math Symbol
ValueCountFrequency (%)
~ 872
100.0%
Space Separator
ValueCountFrequency (%)
721
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10223
82.9%
Hangul 2036
 
16.5%
Latin 76
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 534
26.2%
오 258
12.7%
일 163
 
8.0%
전 133
 
6.5%
후 123
 
6.0%
평 66
 
3.2%
분 64
 
3.1%
토 61
 
3.0%
월 59
 
2.9%
주 38
 
1.9%
Other values (124) 537
26.4%
Common
ValueCountFrequency (%)
0 3273
32.0%
1 1634
16.0%
: 1422
13.9%
2 927
 
9.1%
~ 872
 
8.5%
721
 
7.1%
3 386
 
3.8%
9 218
 
2.1%
- 152
 
1.5%
4 128
 
1.3%
Other values (12) 490
 
4.8%
Latin
ValueCountFrequency (%)
m 24
31.6%
M 12
15.8%
a 11
14.5%
p 10
13.2%
P 9
 
11.8%
A 8
 
10.5%
t 1
 
1.3%
o 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10299
83.5%
Hangul 2036
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3273
31.8%
1 1634
15.9%
: 1422
13.8%
2 927
 
9.0%
~ 872
 
8.5%
721
 
7.0%
3 386
 
3.7%
9 218
 
2.1%
- 152
 
1.5%
4 128
 
1.2%
Other values (20) 566
 
5.5%
Hangul
ValueCountFrequency (%)
시 534
26.2%
오 258
12.7%
일 163
 
8.0%
전 133
 
6.5%
후 123
 
6.0%
평 66
 
3.2%
분 64
 
3.1%
토 61
 
3.0%
월 59
 
2.9%
주 38
 
1.9%
Other values (124) 537
26.4%

제공품목
Text

MISSING 

Distinct552
Distinct (%)56.0%
Missing21
Missing (%)2.1%
Memory size8.0 KiB
2024-03-13T08:52:08.135494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length56
Mean length9.1005076
Min length1

Characters and Unicode

Total characters8964
Distinct characters515
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique529 ?
Unique (%)53.7%

Sample

1st row전메뉴
2nd row식사메뉴
3rd row전메뉴
4th row전메뉴
5th row증명사진
ValueCountFrequency (%)
모든메뉴 229
 
11.4%
일정금액 85
 
4.2%
전메뉴 83
 
4.1%
1인 42
 
2.1%
1인1메뉴 36
 
1.8%
음료 32
 
1.6%
28
 
1.4%
제공 24
 
1.2%
1메뉴 19
 
0.9%
메뉴 17
 
0.8%
Other values (991) 1420
70.5%
2024-03-13T08:52:08.504250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1030
 
11.5%
메 445
 
5.0%
뉴 445
 
5.0%
1 323
 
3.6%
모 246
 
2.7%
든 241
 
2.7%
, 177
 
2.0%
인 148
 
1.7%
전 139
 
1.6%
일 128
 
1.4%
Other values (505) 5642
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6873
76.7%
Space Separator 1030
 
11.5%
Decimal Number 499
 
5.6%
Other Punctuation 279
 
3.1%
Close Punctuation 88
 
1.0%
Open Punctuation 86
 
1.0%
Lowercase Letter 52
 
0.6%
Math Symbol 37
 
0.4%
Uppercase Letter 15
 
0.2%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
메 445
 
6.5%
뉴 445
 
6.5%
모 246
 
3.6%
든 241
 
3.5%
인 148
 
2.2%
전 139
 
2.0%
일 128
 
1.9%
료 114
 
1.7%
이 108
 
1.6%
정 108
 
1.6%
Other values (459) 4751
69.1%
Lowercase Letter
ValueCountFrequency (%)
o 12
23.1%
r 11
21.2%
e 6
11.5%
c 4
 
7.7%
s 4
 
7.7%
p 3
 
5.8%
i 3
 
5.8%
g 2
 
3.8%
d 2
 
3.8%
t 2
 
3.8%
Other values (3) 3
 
5.8%
Decimal Number
ValueCountFrequency (%)
1 323
64.7%
0 86
 
17.2%
2 32
 
6.4%
5 28
 
5.6%
6 9
 
1.8%
3 8
 
1.6%
4 5
 
1.0%
9 4
 
0.8%
8 3
 
0.6%
7 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
S 2
13.3%
M 2
13.3%
P 2
13.3%
N 1
 
6.7%
D 1
 
6.7%
C 1
 
6.7%
R 1
 
6.7%
E 1
 
6.7%
T 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 177
63.4%
. 45
 
16.1%
/ 29
 
10.4%
% 10
 
3.6%
& 10
 
3.6%
: 4
 
1.4%
' 4
 
1.4%
Math Symbol
ValueCountFrequency (%)
+ 32
86.5%
~ 5
 
13.5%
Space Separator
ValueCountFrequency (%)
1030
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6873
76.7%
Common 2024
 
22.6%
Latin 67
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
메 445
 
6.5%
뉴 445
 
6.5%
모 246
 
3.6%
든 241
 
3.5%
인 148
 
2.2%
전 139
 
2.0%
일 128
 
1.9%
료 114
 
1.7%
이 108
 
1.6%
정 108
 
1.6%
Other values (459) 4751
69.1%
Common
ValueCountFrequency (%)
1030
50.9%
1 323
 
16.0%
, 177
 
8.7%
) 88
 
4.3%
( 86
 
4.2%
0 86
 
4.2%
. 45
 
2.2%
+ 32
 
1.6%
2 32
 
1.6%
/ 29
 
1.4%
Other values (13) 96
 
4.7%
Latin
ValueCountFrequency (%)
o 12
17.9%
r 11
16.4%
e 6
 
9.0%
c 4
 
6.0%
s 4
 
6.0%
p 3
 
4.5%
A 3
 
4.5%
i 3
 
4.5%
S 2
 
3.0%
M 2
 
3.0%
Other values (13) 17
25.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6872
76.7%
ASCII 2091
 
23.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1030
49.3%
1 323
 
15.4%
, 177
 
8.5%
) 88
 
4.2%
( 86
 
4.1%
0 86
 
4.1%
. 45
 
2.2%
+ 32
 
1.5%
2 32
 
1.5%
/ 29
 
1.4%
Other values (36) 163
 
7.8%
Hangul
ValueCountFrequency (%)
메 445
 
6.5%
뉴 445
 
6.5%
모 246
 
3.6%
든 241
 
3.5%
인 148
 
2.2%
전 139
 
2.0%
일 128
 
1.9%
료 114
 
1.7%
이 108
 
1.6%
정 108
 
1.6%
Other values (458) 4750
69.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

제공대상1
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct50
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
아이본인만
429 
동반1인
358 
<NA>
102 
동반2인
67 
가족
 
3
Other values (45)
47 

Length

Max length20
Median length4
Mean length4.7733598
Min length2

Unique

Unique43 ?
Unique (%)4.3%

Sample

1st row동반1인
2nd row동반1인
3rd row동반1인
4th row<NA>
5th row동반1인

Common Values

ValueCountFrequency (%)
아이본인만 429
42.6%
동반1인 358
35.6%
<NA> 102
 
10.1%
동반2인 67
 
6.7%
가족 3
 
0.3%
결식아동가족 2
 
0.2%
가족모두 2
 
0.2%
18세미만 동반1인 1
 
0.1%
지역 조손가정 아이 본인만 1
 
0.1%
안경에 필요한 모든 부속제품포함 1
 
0.1%
Other values (40) 40
 
4.0%

Length

2024-03-13T08:52:08.622099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아이본인만 429
40.2%
동반1인 359
33.6%
na 102
 
9.6%
동반2인 67
 
6.3%
가족 5
 
0.5%
아이 4
 
0.4%
결식아동 4
 
0.4%
및 2
 
0.2%
2
 
0.2%
급식카드 2
 
0.2%
Other values (81) 92
 
8.6%

제공대상2
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct39
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size8.0 KiB
결식아동
690 
결식아동 / 소방관
209 
<NA>
 
51
결식아동 /
 
10
결식아동 / 소방관 /
 
7
Other values (34)
 
39

Length

Max length32
Median length4
Mean length5.7723658
Min length3

Unique

Unique33 ?
Unique (%)3.3%

Sample

1st row결식아동
2nd row결식아동
3rd row결식아동 / 소방관
4th row결식아동 /
5th row결식아동

Common Values

ValueCountFrequency (%)
결식아동 690
68.6%
결식아동 / 소방관 209
 
20.8%
<NA> 51
 
5.1%
결식아동 / 10
 
1.0%
결식아동 / 소방관 / 7
 
0.7%
소방관 6
 
0.6%
결식아동 / 소방관 / 경찰 1
 
0.1%
결식아동 / 소방관 / 그외 형편이 어려운 이웃 1
 
0.1%
결식아동 / 미혼모 1
 
0.1%
결식아동 / 소방관 / 전 제품 2만원 할인(홍삼,비타민) 1
 
0.1%
Other values (29) 29
 
2.9%

Length

2024-03-13T08:52:08.728556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
결식아동 940
59.8%
269
 
17.1%
소방관 237
 
15.1%
na 51
 
3.2%
경찰 2
 
0.1%
할인 2
 
0.1%
어려운 2
 
0.1%
이웃 2
 
0.1%
경찰관 2
 
0.1%
독거노인 2
 
0.1%
Other values (61) 63
 
4.0%

사업자등록번호
Real number (ℝ)

MISSING 

Distinct435
Distinct (%)99.1%
Missing567
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean4.5176 × 109
Minimum1.0116335 × 109
Maximum8.9873002 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-13T08:52:08.829231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0116335 × 109
5-th percentile1.2313078 × 109
Q12.2967318 × 109
median4.2918012 × 109
Q36.6635507 × 109
95-th percentile8.294382 × 109
Maximum8.9873002 × 109
Range7.9756667 × 109
Interquartile range (IQR)4.3668189 × 109

Descriptive statistics

Standard deviation2.3653987 × 109
Coefficient of variation (CV)0.5235963
Kurtosis-1.2491795
Mean4.5176 × 109
Median Absolute Deviation (MAD)2.1396992 × 109
Skewness0.17885683
Sum1.9832264 × 1012
Variance5.5951108 × 1018
MonotonicityNot monotonic
2024-03-13T08:52:08.940841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1563700916 2
 
0.2%
2998802120 2
 
0.2%
6403000144 2
 
0.2%
5860202258 2
 
0.2%
4256700575 1
 
0.1%
4730402150 1
 
0.1%
4574600766 1
 
0.1%
2228134905 1
 
0.1%
6139308514 1
 
0.1%
8252000940 1
 
0.1%
Other values (425) 425
42.2%
(Missing) 567
56.4%
ValueCountFrequency (%)
1011633504 1
0.1%
1013252118 1
0.1%
1013614771 1
0.1%
1020382430 1
0.1%
1021466251 1
0.1%
1022563376 1
0.1%
1032001738 1
0.1%
1041393719 1
0.1%
1041473248 1
0.1%
1044165370 1
0.1%
ValueCountFrequency (%)
8987300250 1
0.1%
8912401148 1
0.1%
8862600501 1
0.1%
8831401610 1
0.1%
8812401312 1
0.1%
8810301938 1
0.1%
8805100373 1
0.1%
8722101035 1
0.1%
8697900180 1
0.1%
8632301302 1
0.1%

정제우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct721
Distinct (%)72.1%
Missing6
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean14511.079
Minimum10011
Maximum18617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-13T08:52:09.253513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10236
Q112019.5
median14635.5
Q316976
95-th percentile18472.05
Maximum18617
Range8606
Interquartile range (IQR)4956.5

Descriptive statistics

Standard deviation2764.2508
Coefficient of variation (CV)0.19049244
Kurtosis-1.3273079
Mean14511.079
Median Absolute Deviation (MAD)2475
Skewness-0.11325629
Sum14511079
Variance7641082.7
MonotonicityNot monotonic
2024-03-13T08:52:09.362185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17006 9
 
0.9%
10401 7
 
0.7%
18497 7
 
0.7%
11813 7
 
0.7%
15010 6
 
0.6%
11473 6
 
0.6%
10816 5
 
0.5%
13477 5
 
0.5%
10079 5
 
0.5%
17808 4
 
0.4%
Other values (711) 939
93.3%
(Missing) 6
 
0.6%
ValueCountFrequency (%)
10011 1
 
0.1%
10060 2
0.2%
10062 1
 
0.1%
10063 2
0.2%
10064 1
 
0.1%
10066 1
 
0.1%
10068 4
0.4%
10071 3
0.3%
10072 1
 
0.1%
10073 1
 
0.1%
ValueCountFrequency (%)
18617 1
 
0.1%
18606 2
0.2%
18602 1
 
0.1%
18600 1
 
0.1%
18598 3
0.3%
18591 1
 
0.1%
18584 1
 
0.1%
18570 1
 
0.1%
18567 1
 
0.1%
18565 2
0.2%

정제WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct951
Distinct (%)95.3%
Missing8
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean37.417265
Minimum36.958859
Maximum38.091096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-13T08:52:09.474924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.958859
5-th percentile37.018262
Q137.260301
median37.377484
Q337.640968
95-th percentile37.75706
Maximum38.091096
Range1.1322367
Interquartile range (IQR)0.38066654

Descriptive statistics

Standard deviation0.22435552
Coefficient of variation (CV)0.0059960428
Kurtosis-0.78447911
Mean37.417265
Median Absolute Deviation (MAD)0.16302137
Skewness0.15269595
Sum37342.431
Variance0.050335401
MonotonicityNot monotonic
2024-03-13T08:52:09.612907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.1710722278 4
 
0.4%
37.2779963615 3
 
0.3%
37.2145767029 3
 
0.3%
37.8212127182 3
 
0.3%
37.287481312 3
 
0.3%
37.6558930852 3
 
0.3%
37.1687324879 3
 
0.3%
37.1991732663 3
 
0.3%
37.4214442258 2
 
0.2%
37.6577799026 2
 
0.2%
Other values (941) 969
96.3%
(Missing) 8
 
0.8%
ValueCountFrequency (%)
36.9588591538 2
0.2%
36.9669979339 1
0.1%
36.974460276 1
0.1%
36.9770949264 1
0.1%
36.9789601868 1
0.1%
36.9789612257 1
0.1%
36.9802616952 1
0.1%
36.9823701331 1
0.1%
36.9867266971 1
0.1%
36.9879341404 1
0.1%
ValueCountFrequency (%)
38.0910958227 1
0.1%
37.9571015066 1
0.1%
37.8977718418 1
0.1%
37.8965308848 1
0.1%
37.8962021745 1
0.1%
37.8957440217 1
0.1%
37.8917047051 1
0.1%
37.8894290652 1
0.1%
37.8829033608 1
0.1%
37.8677626129 1
0.1%

정제WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct951
Distinct (%)95.3%
Missing8
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean127.00005
Minimum126.62271
Maximum127.64894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.0 KiB
2024-03-13T08:52:09.744519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62271
5-th percentile126.72416
Q1126.83088
median127.04292
Q3127.11532
95-th percentile127.27599
Maximum127.64894
Range1.0262226
Interquartile range (IQR)0.28444014

Descriptive statistics

Standard deviation0.18757121
Coefficient of variation (CV)0.001476938
Kurtosis0.045069568
Mean127.00005
Median Absolute Deviation (MAD)0.12494411
Skewness0.26173036
Sum126746.05
Variance0.035182957
MonotonicityNot monotonic
2024-03-13T08:52:09.856869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1057066123 4
 
0.4%
127.1515897965 3
 
0.3%
126.9740873384 3
 
0.3%
127.0969332681 3
 
0.3%
127.0602221632 3
 
0.3%
126.7719705633 3
 
0.3%
127.1096160585 3
 
0.3%
127.1151836858 3
 
0.3%
126.8844357233 2
 
0.2%
127.2744655626 2
 
0.2%
Other values (941) 969
96.3%
(Missing) 8
 
0.8%
ValueCountFrequency (%)
126.6227141895 1
0.1%
126.6239494097 1
0.1%
126.6250481619 1
0.1%
126.6278312334 1
0.1%
126.6286988809 1
0.1%
126.6297911482 1
0.1%
126.631288186 1
0.1%
126.632450285 1
0.1%
126.6331667826 1
0.1%
126.6335513349 1
0.1%
ValueCountFrequency (%)
127.6489367856 1
0.1%
127.6405745119 1
0.1%
127.6361632488 1
0.1%
127.6359880184 1
0.1%
127.63571373 1
0.1%
127.60156893 1
0.1%
127.592087071 1
0.1%
127.5915753248 1
0.1%
127.548705673 1
0.1%
127.5061540277 1
0.1%

Interactions

2024-03-13T08:52:04.117505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:03.197317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:03.507198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:03.802849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:04.193783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:03.285185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:03.591195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:03.879479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:04.265926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:03.353121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:03.660364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:03.948998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:04.343239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:03.431416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:03.732648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:52:04.041013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:52:09.930382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명시군명제공대상1제공대상2사업자등록번호정제우편번호정제WGS84위도정제WGS84경도
업종명1.0000.1270.4180.3740.1480.0000.1350.077
시군명0.1271.0000.0000.3720.3530.9920.9580.946
제공대상10.4180.0001.0000.9570.1350.1230.0000.000
제공대상20.3740.3720.9571.0000.2090.1390.1850.000
사업자등록번호0.1480.3530.1350.2091.0000.2680.1530.248
정제우편번호0.0000.9920.1230.1390.2681.0000.9210.868
정제WGS84위도0.1350.9580.0000.1850.1530.9211.0000.690
정제WGS84경도0.0770.9460.0000.0000.2480.8680.6901.000
2024-03-13T08:52:10.019333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제공대상1업종명시군명제공대상2
제공대상11.0000.2160.0000.512
업종명0.2161.0000.0660.195
시군명0.0000.0661.0000.088
제공대상20.5120.1950.0881.000
2024-03-13T08:52:10.094422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업자등록번호정제우편번호정제WGS84위도정제WGS84경도업종명시군명제공대상1제공대상2
사업자등록번호1.000-0.1340.105-0.0660.0860.1290.0440.073
정제우편번호-0.1341.000-0.9280.2660.0000.9250.0400.048
정제WGS84위도0.105-0.9281.000-0.2150.0810.7600.0000.064
정제WGS84경도-0.0660.266-0.2151.0000.0460.7180.0000.000
업종명0.0860.0000.0810.0461.0000.0660.2160.195
시군명0.1290.9250.7600.7180.0661.0000.0000.088
제공대상10.0440.0400.0000.0000.2160.0001.0000.512
제공대상20.0730.0480.0640.0000.1950.0880.5121.000

Missing values

2024-03-13T08:52:04.472417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:52:04.620978image/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.
2024-03-13T08:52:04.743146image/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

상호명업종명시군명정제도로명주소정제지번주소상세주소영업시간제공품목제공대상1제공대상2사업자등록번호정제우편번호정제WGS84위도정제WGS84경도
0시골순대 (사리역점)식음료안산시경기도 안산시 상록구 충장로 80경기도 안산시 상록구 본오동 939-4번지1층시골순대(본오동939-4)09:30~21:00전메뉴동반1인결식아동<NA>1556437.2887126.857473
1오브제식음료수원시경기도 수원시 팔달구 화서문로 20경기도 수원시 팔달구 신풍동 116-2번지2층 오브제15:00~22:00식사메뉴동반1인결식아동<NA>1625837.285032127.01025
2동동국수집 롯데구리점식음료구리시경기도 구리시 경춘로 261경기도 구리시 인창동 677번지롯데백화점 지하1층 동동국수집10:30~19:30전메뉴동반1인결식아동 / 소방관<NA>1192237.602692127.143794
3미스터신돈까스식음료성남시경기도 성남시 분당구 판교공원로5길 35경기도 성남시 분당구 판교동 6191층 미스터신돈까스11:30~21:30전메뉴<NA>결식아동 /<NA>1347737.390584127.088496
4메리제인스튜디오생활성남시경기도 성남시 분당구 미금일로90번길 32경기도 성남시 분당구 구미동 30번지웰파크 2층11:00~18:00증명사진동반1인결식아동<NA>1362737.348943127.110469
5에즈띵크식음료남양주시경기도 남양주시 진접읍 해밀예당1로216번길 16경기도 남양주시 진접읍 금곡리 1037-9번지에즈띵크13:00~22:00전메뉴동반1인결식아동 / 소방관<NA>1205937.718893127.202286
6아이피아 안경 동탄홈플러스생활화성시<NA>경기도 화성시 반송동 98번지 메타폴리스홈플러스 지하4층 아이피아안경10:00~21:30안경 테/렌즈 무상지원동반1인결식아동<NA>1844537.202409127.06803
7마미살롱생활광명시<NA>경기도 광명시 소하동 1391번지 광명역세권휴먼시아역세권휴먼시아 제상가동 202호10:00~20:00내성발톱교정<NA>결식아동 / 소방관<NA>1433037.428584126.882964
8위례 형제통닭식음료성남시경기도 성남시 수정구 위례광장로 310경기도 성남시 수정구 창곡동 509-1번지우성트램타워B동 1층 형제통닭15:00~23:00카드소지자 모든 치킨류 무상제공(포장가능)아이본인만결식아동 / 소방관<NA>1364037.472705127.142941
9마법의언어학교교육부천시<NA>경기도 부천시 경인로 97-11<NA><NA>초, 중, 고급 영어회화 전 강의 전자책 무료제공<NA>결식아동<NA><NA><NA><NA>
상호명업종명시군명정제도로명주소정제지번주소상세주소영업시간제공품목제공대상1제공대상2사업자등록번호정제우편번호정제WGS84위도정제WGS84경도
996드림라운지생활고양시경기도 고양시 일산서구 성저로 68경기도 고양시 일산서구 대화동 2069-5번지1층 드림라운지10:00~22:00 (금,토 : ~23:00)대관시-카페음료 & 일부 콘텐츠 무료아이본인만결식아동 / 소방관69922010961036837.684906126.75455
997명수네국물떡볶이식음료파주시경기도 파주시 조리읍 내산길 71경기도 파주시 조리읍 봉일천리 266-66번지1층11시~9시모든메뉴아이본인만결식아동<NA>1093837.746616126.808778
998프랑킨숯불양념구이치킨식음료시흥시경기도 시흥시 정왕신길로229번길 19-1경기도 시흥시 정왕동 1809-11층 프랑킨치킨집12~01시모든메뉴아이본인만결식아동58602022581505437.349852126.743627
999프랑킨숯불양념구이치킨 안양점식음료안양시경기도 안양시 동안구 관평로69번길 29-7경기도 안양시 동안구 평촌동 928-17번지1층 102호오전11시 ~ 오전1시30분모든메뉴아이본인만결식아동<NA>1410337.382918126.963753
1000석관동떡볶이동두천점식음료동두천시경기도 동두천시 동두천로 115경기도 동두천시 지행동 721-3번지1층 석관동떡볶이11:00~23:00모든메뉴동반1인결식아동 / g-dream 카드 소지자<NA>1135037.891705127.054639
1001수라간식음료고양시경기도 고양시 일산서구 호수로 817경기도 고양시 일산서구 대화동 2602레이킨스몰2층 228호11:00-8:30모든메뉴아이본인만결식아동12835558771039137.667979126.751624
1002피자나라치킨공주 태평점식음료성남시경기도 성남시 수정구 남문로121번길 14-1경기도 성남시 수정구 태평동 24541층 피자나라 치킨공주 태평점낮12시~밤11시30분까지일정금액아이본인만결식아동<NA>1327737.448989127.139549
1003히또시식음료안산시경기도 안산시 단원구 광덕4로 246경기도 안산시 단원구 고잔동 729-6번지천혜중앙 126호 히또시평일 11시30부터 21시까지 토요일 12시부터 21시모든메뉴아이들과 부모까지결식아동26527003371546437.314355126.839875
1004담꾹 시흥장현점식음료시흥시경기도 시흥시 장현서3길 12경기도 시흥시 장현동 610-3번지세븐일레븐건물24시간모든메뉴아이본인만결식아동84714013461499637.373128126.796657
1005달토끼짬뽕용이점식음료평택시경기도 평택시 현촌5길 5-12경기도 평택시 용이동 598-11층 달토끼짬뽕11시~20시30분모든메뉴모두가능결식아동 / 소방관25026011521786936.998015127.133316

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상호명업종명시군명정제도로명주소정제지번주소상세주소영업시간제공품목제공대상1제공대상2사업자등록번호정제우편번호정제WGS84위도정제WGS84경도# duplicates
0인생친구 365일 감자탕식음료광주시경기도 광주시 곤지암읍 경충대로 752경기도 광주시 곤지암읍 삼리 106-27번지1층 101호<NA>모든메뉴아이본인만결식아동<NA>1280037.35556127.3269652