Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells515
Missing cells (%)0.6%
Duplicate rows8
Duplicate rows (%)0.1%
Total size in memory732.4 KiB
Average record size in memory75.0 B

Variable types

Categorical2
Text3
Numeric3

Dataset

Description경기도 아동급식전자카드 가맹점 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=CWV8DK4J5SNGHSDCRGT626848334&infSeq=1

Alerts

Dataset has 8 (0.1%) duplicate rowsDuplicates
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
구분 is highly imbalanced (94.9%)Imbalance
소재지우편번호 has 111 (1.1%) missing valuesMissing
WGS84위도 has 167 (1.7%) missing valuesMissing
WGS84경도 has 167 (1.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:25:14.856802
Analysis finished2023-12-10 22:25:17.997424
Duration3.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
성남시
1747 
고양시
1619 
부천시
1588 
남양주시
1181 
김포시
1053 
Other values (7)
2812 

Length

Max length4
Median length3
Mean length3.1453
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row군포시
2nd row김포시
3rd row성남시
4th row성남시
5th row남양주시

Common Values

ValueCountFrequency (%)
성남시 1747
17.5%
고양시 1619
16.2%
부천시 1588
15.9%
남양주시 1181
11.8%
김포시 1053
10.5%
광주시 836
8.4%
광명시 623
 
6.2%
군포시 377
 
3.8%
구리시 362
 
3.6%
동두천시 272
 
2.7%
Other values (2) 342
 
3.4%

Length

2023-12-11T07:25:18.052788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 1747
17.5%
고양시 1619
16.2%
부천시 1588
15.9%
남양주시 1181
11.8%
김포시 1053
10.5%
광주시 836
8.4%
광명시 623
 
6.2%
군포시 377
 
3.8%
구리시 362
 
3.6%
동두천시 272
 
2.7%
Other values (2) 342
 
3.4%

가맹점명
Text

Distinct9584
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:25:18.283180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length7.4832
Min length1

Characters and Unicode

Total characters74832
Distinct characters1079
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

Unique9305 ?
Unique (%)93.0%

Sample

1st row소담촌(산본점)
2nd row하성설렁탕
3rd row처갓집양념치킨 위례역점
4th row대세박목살
5th row씨유묵현성림점
ValueCountFrequency (%)
이마트24 134
 
1.0%
세븐일레븐 119
 
0.9%
지에스25 94
 
0.7%
씨유(cu 89
 
0.7%
주식회사 68
 
0.5%
지에스(gs)25 37
 
0.3%
파리바게뜨 30
 
0.2%
카페 24
 
0.2%
김밥천국 22
 
0.2%
맘스터치 21
 
0.2%
Other values (10288) 12686
95.2%
2023-12-11T07:25:18.668561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3324
 
4.4%
점 3206
 
4.3%
이 1459
 
1.9%
스 1127
 
1.5%
리 1035
 
1.4%
( 956
 
1.3%
) 956
 
1.3%
마 853
 
1.1%
식 711
 
1.0%
주 679
 
0.9%
Other values (1069) 60526
80.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64392
86.0%
Space Separator 3324
 
4.4%
Uppercase Letter 1915
 
2.6%
Decimal Number 1680
 
2.2%
Lowercase Letter 1321
 
1.8%
Open Punctuation 956
 
1.3%
Close Punctuation 956
 
1.3%
Other Punctuation 278
 
0.4%
Dash Punctuation 7
 
< 0.1%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3206
 
5.0%
이 1459
 
2.3%
스 1127
 
1.8%
리 1035
 
1.6%
마 853
 
1.3%
식 711
 
1.1%
주 679
 
1.1%
지 660
 
1.0%
산 640
 
1.0%
당 622
 
1.0%
Other values (992) 53400
82.9%
Uppercase Letter
ValueCountFrequency (%)
S 254
13.3%
G 238
12.4%
C 228
11.9%
U 157
 
8.2%
B 104
 
5.4%
A 100
 
5.2%
E 86
 
4.5%
O 84
 
4.4%
N 63
 
3.3%
D 62
 
3.2%
Other values (16) 539
28.1%
Lowercase Letter
ValueCountFrequency (%)
e 208
15.7%
a 135
 
10.2%
o 120
 
9.1%
i 85
 
6.4%
r 82
 
6.2%
s 77
 
5.8%
n 73
 
5.5%
c 72
 
5.5%
t 65
 
4.9%
f 56
 
4.2%
Other values (14) 348
26.3%
Other Punctuation
ValueCountFrequency (%)
& 117
42.1%
/ 66
23.7%
. 47
16.9%
' 20
 
7.2%
, 10
 
3.6%
? 7
 
2.5%
! 4
 
1.4%
# 2
 
0.7%
: 2
 
0.7%
* 1
 
0.4%
Other values (2) 2
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 579
34.5%
5 368
21.9%
4 188
 
11.2%
1 152
 
9.0%
9 91
 
5.4%
3 80
 
4.8%
0 73
 
4.3%
6 56
 
3.3%
8 48
 
2.9%
7 45
 
2.7%
Space Separator
ValueCountFrequency (%)
3324
100.0%
Open Punctuation
ValueCountFrequency (%)
( 956
100.0%
Close Punctuation
ValueCountFrequency (%)
) 956
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64368
86.0%
Common 7204
 
9.6%
Latin 3236
 
4.3%
Han 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3206
 
5.0%
이 1459
 
2.3%
스 1127
 
1.8%
리 1035
 
1.6%
마 853
 
1.3%
식 711
 
1.1%
주 679
 
1.1%
지 660
 
1.0%
산 640
 
1.0%
당 622
 
1.0%
Other values (976) 53376
82.9%
Latin
ValueCountFrequency (%)
S 254
 
7.8%
G 238
 
7.4%
C 228
 
7.0%
e 208
 
6.4%
U 157
 
4.9%
a 135
 
4.2%
o 120
 
3.7%
B 104
 
3.2%
A 100
 
3.1%
E 86
 
2.7%
Other values (40) 1606
49.6%
Common
ValueCountFrequency (%)
3324
46.1%
( 956
 
13.3%
) 956
 
13.3%
2 579
 
8.0%
5 368
 
5.1%
4 188
 
2.6%
1 152
 
2.1%
& 117
 
1.6%
9 91
 
1.3%
3 80
 
1.1%
Other values (17) 393
 
5.5%
Han
ValueCountFrequency (%)
家 5
20.8%
愛 3
12.5%
辛 2
 
8.3%
豚 2
 
8.3%
人 1
 
4.2%
大 1
 
4.2%
溫 1
 
4.2%
篤 1
 
4.2%
情 1
 
4.2%
雪 1
 
4.2%
Other values (6) 6
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64368
86.0%
ASCII 10440
 
14.0%
CJK 24
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3324
31.8%
( 956
 
9.2%
) 956
 
9.2%
2 579
 
5.5%
5 368
 
3.5%
S 254
 
2.4%
G 238
 
2.3%
C 228
 
2.2%
e 208
 
2.0%
4 188
 
1.8%
Other values (67) 3141
30.1%
Hangul
ValueCountFrequency (%)
점 3206
 
5.0%
이 1459
 
2.3%
스 1127
 
1.8%
리 1035
 
1.6%
마 853
 
1.3%
식 711
 
1.1%
주 679
 
1.1%
지 660
 
1.0%
산 640
 
1.0%
당 622
 
1.0%
Other values (976) 53376
82.9%
CJK
ValueCountFrequency (%)
家 5
20.8%
愛 3
12.5%
辛 2
 
8.3%
豚 2
 
8.3%
人 1
 
4.2%
大 1
 
4.2%
溫 1
 
4.2%
篤 1
 
4.2%
情 1
 
4.2%
雪 1
 
4.2%
Other values (6) 6
25.0%

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
BC일반가맹점
9943 
BC주부식가맹점
 
57

Length

Max length8
Median length7
Mean length7.0057
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BC일반가맹점 9943
99.4%
BC주부식가맹점 57
 
0.6%

Length

2023-12-11T07:25:18.781717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:25:18.862981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bc일반가맹점 9943
99.4%
bc주부식가맹점 57
 
0.6%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1740
Distinct (%)17.6%
Missing111
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean12577.155
Minimum10000
Maximum15890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:25:18.967182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10071
Q110550
median12747
Q314221
95-th percentile14748
Maximum15890
Range5890
Interquartile range (IQR)3671

Descriptive statistics

Standard deviation1700.2076
Coefficient of variation (CV)0.13518221
Kurtosis-1.1455579
Mean12577.155
Median Absolute Deviation (MAD)1520
Skewness-0.065630851
Sum1.2437548 × 108
Variance2890706
MonotonicityNot monotonic
2023-12-11T07:25:19.122531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10071 79
 
0.8%
14548 67
 
0.7%
15865 61
 
0.6%
13591 53
 
0.5%
13558 51
 
0.5%
12248 48
 
0.5%
10113 45
 
0.4%
10079 43
 
0.4%
10401 41
 
0.4%
13595 40
 
0.4%
Other values (1730) 9361
93.6%
(Missing) 111
 
1.1%
ValueCountFrequency (%)
10000 1
 
< 0.1%
10003 1
 
< 0.1%
10004 1
 
< 0.1%
10007 1
 
< 0.1%
10008 4
 
< 0.1%
10009 7
 
0.1%
10010 10
0.1%
10011 19
0.2%
10012 5
 
0.1%
10013 4
 
< 0.1%
ValueCountFrequency (%)
15890 1
 
< 0.1%
15889 1
 
< 0.1%
15888 3
 
< 0.1%
15887 2
 
< 0.1%
15885 15
0.1%
15884 1
 
< 0.1%
15881 1
 
< 0.1%
15880 21
0.2%
15878 1
 
< 0.1%
15875 2
 
< 0.1%

소재지도로명주소
Text

Distinct9924
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:25:19.408068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length59
Mean length32.6115
Min length14

Characters and Unicode

Total characters326115
Distinct characters642
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9858 ?
Unique (%)98.6%

Sample

1st row경기도 군포시 산본로323번길 16-7 ,5층 (산본동,롯데프라자)
2nd row경기도 김포시 하성면 마곡리 583-1번지
3rd row경기도 성남시 수정구 위례광장로 27 ,1층 106호 (창곡동, 으뜸프라자)
4th row경기도 성남시 분당구 서현로 204 202호 (서현동, 엘지분당에클라트2차)
5th row경기도 남양주시 화도읍 묵현리 426-6
ValueCountFrequency (%)
경기도 10000
 
14.9%
1층 3982
 
5.9%
성남시 1747
 
2.6%
고양시 1619
 
2.4%
부천시 1588
 
2.4%
남양주시 1181
 
1.8%
분당구 1089
 
1.6%
김포시 1053
 
1.6%
광주시 836
 
1.2%
덕양구 703
 
1.0%
Other values (10281) 43463
64.6%
2023-12-11T07:25:19.864398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57723
 
17.7%
1 19420
 
6.0%
도 10619
 
3.3%
동 10574
 
3.2%
경 10547
 
3.2%
기 10260
 
3.1%
시 10095
 
3.1%
로 9333
 
2.9%
) 8240
 
2.5%
( 8237
 
2.5%
Other values (632) 171067
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182373
55.9%
Decimal Number 60090
 
18.4%
Space Separator 57725
 
17.7%
Close Punctuation 8241
 
2.5%
Open Punctuation 8238
 
2.5%
Other Punctuation 5844
 
1.8%
Dash Punctuation 2532
 
0.8%
Uppercase Letter 962
 
0.3%
Math Symbol 82
 
< 0.1%
Lowercase Letter 27
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 10619
 
5.8%
동 10574
 
5.8%
경 10547
 
5.8%
기 10260
 
5.6%
시 10095
 
5.5%
로 9333
 
5.1%
층 5535
 
3.0%
호 5534
 
3.0%
구 4520
 
2.5%
길 4272
 
2.3%
Other values (570) 101084
55.4%
Uppercase Letter
ValueCountFrequency (%)
B 304
31.6%
A 146
15.2%
C 73
 
7.6%
E 53
 
5.5%
I 44
 
4.6%
D 42
 
4.4%
S 39
 
4.1%
L 32
 
3.3%
K 30
 
3.1%
R 29
 
3.0%
Other values (15) 170
17.7%
Lowercase Letter
ValueCountFrequency (%)
e 12
44.4%
s 2
 
7.4%
t 2
 
7.4%
r 2
 
7.4%
l 2
 
7.4%
o 1
 
3.7%
w 1
 
3.7%
h 1
 
3.7%
i 1
 
3.7%
a 1
 
3.7%
Other values (2) 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
1 19420
32.3%
2 8058
13.4%
0 6919
 
11.5%
3 5343
 
8.9%
4 4295
 
7.1%
5 3780
 
6.3%
6 3407
 
5.7%
7 3289
 
5.5%
8 3015
 
5.0%
9 2564
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 5762
98.6%
. 57
 
1.0%
& 12
 
0.2%
/ 7
 
0.1%
* 5
 
0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
57723
> 99.9%
　 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 8240
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 8237
> 99.9%
[ 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2532
100.0%
Math Symbol
ValueCountFrequency (%)
~ 82
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182373
55.9%
Common 142752
43.8%
Latin 990
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 10619
 
5.8%
동 10574
 
5.8%
경 10547
 
5.8%
기 10260
 
5.6%
시 10095
 
5.5%
로 9333
 
5.1%
층 5535
 
3.0%
호 5534
 
3.0%
구 4520
 
2.5%
길 4272
 
2.3%
Other values (570) 101084
55.4%
Latin
ValueCountFrequency (%)
B 304
30.7%
A 146
14.7%
C 73
 
7.4%
E 53
 
5.4%
I 44
 
4.4%
D 42
 
4.2%
S 39
 
3.9%
L 32
 
3.2%
K 30
 
3.0%
R 29
 
2.9%
Other values (28) 198
20.0%
Common
ValueCountFrequency (%)
57723
40.4%
1 19420
 
13.6%
) 8240
 
5.8%
( 8237
 
5.8%
2 8058
 
5.6%
0 6919
 
4.8%
, 5762
 
4.0%
3 5343
 
3.7%
4 4295
 
3.0%
5 3780
 
2.6%
Other values (14) 14975
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182373
55.9%
ASCII 143739
44.1%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57723
40.2%
1 19420
 
13.5%
) 8240
 
5.7%
( 8237
 
5.7%
2 8058
 
5.6%
0 6919
 
4.8%
, 5762
 
4.0%
3 5343
 
3.7%
4 4295
 
3.0%
5 3780
 
2.6%
Other values (50) 15962
 
11.1%
Hangul
ValueCountFrequency (%)
도 10619
 
5.8%
동 10574
 
5.8%
경 10547
 
5.8%
기 10260
 
5.6%
시 10095
 
5.5%
로 9333
 
5.1%
층 5535
 
3.0%
호 5534
 
3.0%
구 4520
 
2.5%
길 4272
 
2.3%
Other values (570) 101084
55.4%
None
ValueCountFrequency (%)
　 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지지번주소
Text

Distinct9812
Distinct (%)98.8%
Missing70
Missing (%)0.7%
Memory size156.2 KiB
2023-12-11T07:25:20.455745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length55
Mean length29.258107
Min length14

Characters and Unicode

Total characters290533
Distinct characters617
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9706 ?
Unique (%)97.7%

Sample

1st row경기도 군포시 산본동 1135-1번지 롯데프라자 5층
2nd row경기도 김포시 하성면 마곡리 583-1번지
3rd row경기도 성남시 수정구 창곡동 547-2번지 으뜸프라자 1층 106호
4th row경기도 성남시 분당구 서현동 245-4번지 엘지분당에클라트2차 202호
5th row경기도 남양주시 화도읍 묵현리 426-6
ValueCountFrequency (%)
경기도 9930
 
16.2%
1층 4389
 
7.2%
성남시 1738
 
2.8%
고양시 1612
 
2.6%
부천시 1576
 
2.6%
남양주시 1180
 
1.9%
분당구 1088
 
1.8%
김포시 1050
 
1.7%
광주시 831
 
1.4%
덕양구 699
 
1.1%
Other values (11148) 37061
60.6%
2023-12-11T07:25:21.002831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51224
 
17.6%
1 19533
 
6.7%
지 10778
 
3.7%
동 10596
 
3.6%
도 10405
 
3.6%
기 10114
 
3.5%
경 10074
 
3.5%
시 9991
 
3.4%
번 9633
 
3.3%
2 7661
 
2.6%
Other values (607) 140524
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166103
57.2%
Decimal Number 63396
 
21.8%
Space Separator 51224
 
17.6%
Dash Punctuation 7326
 
2.5%
Uppercase Letter 1080
 
0.4%
Other Punctuation 1006
 
0.3%
Open Punctuation 125
 
< 0.1%
Close Punctuation 122
 
< 0.1%
Math Symbol 80
 
< 0.1%
Lowercase Letter 70
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 10778
 
6.5%
동 10596
 
6.4%
도 10405
 
6.3%
기 10114
 
6.1%
경 10074
 
6.1%
시 9991
 
6.0%
번 9633
 
5.8%
호 5514
 
3.3%
층 5506
 
3.3%
구 4018
 
2.4%
Other values (542) 79474
47.8%
Uppercase Letter
ValueCountFrequency (%)
B 310
28.7%
A 165
15.3%
C 79
 
7.3%
I 61
 
5.6%
E 53
 
4.9%
S 47
 
4.4%
D 42
 
3.9%
L 38
 
3.5%
G 35
 
3.2%
K 35
 
3.2%
Other values (16) 215
19.9%
Lowercase Letter
ValueCountFrequency (%)
e 26
37.1%
t 7
 
10.0%
r 7
 
10.0%
s 4
 
5.7%
i 4
 
5.7%
c 4
 
5.7%
n 3
 
4.3%
h 3
 
4.3%
l 3
 
4.3%
o 2
 
2.9%
Other values (5) 7
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 19533
30.8%
2 7661
 
12.1%
0 7229
 
11.4%
3 5661
 
8.9%
4 4704
 
7.4%
5 4482
 
7.1%
6 4463
 
7.0%
7 3585
 
5.7%
8 3233
 
5.1%
9 2845
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 936
93.0%
. 46
 
4.6%
& 12
 
1.2%
/ 6
 
0.6%
* 5
 
0.5%
@ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 124
99.2%
[ 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 121
99.2%
] 1
 
0.8%
Space Separator
ValueCountFrequency (%)
51224
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7326
100.0%
Math Symbol
ValueCountFrequency (%)
~ 80
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166103
57.2%
Common 123279
42.4%
Latin 1151
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 10778
 
6.5%
동 10596
 
6.4%
도 10405
 
6.3%
기 10114
 
6.1%
경 10074
 
6.1%
시 9991
 
6.0%
번 9633
 
5.8%
호 5514
 
3.3%
층 5506
 
3.3%
구 4018
 
2.4%
Other values (542) 79474
47.8%
Latin
ValueCountFrequency (%)
B 310
26.9%
A 165
14.3%
C 79
 
6.9%
I 61
 
5.3%
E 53
 
4.6%
S 47
 
4.1%
D 42
 
3.6%
L 38
 
3.3%
G 35
 
3.0%
K 35
 
3.0%
Other values (32) 286
24.8%
Common
ValueCountFrequency (%)
51224
41.6%
1 19533
 
15.8%
2 7661
 
6.2%
- 7326
 
5.9%
0 7229
 
5.9%
3 5661
 
4.6%
4 4704
 
3.8%
5 4482
 
3.6%
6 4463
 
3.6%
7 3585
 
2.9%
Other values (13) 7411
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166103
57.2%
ASCII 124429
42.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51224
41.2%
1 19533
 
15.7%
2 7661
 
6.2%
- 7326
 
5.9%
0 7229
 
5.8%
3 5661
 
4.5%
4 4704
 
3.8%
5 4482
 
3.6%
6 4463
 
3.6%
7 3585
 
2.9%
Other values (54) 8561
 
6.9%
Hangul
ValueCountFrequency (%)
지 10778
 
6.5%
동 10596
 
6.4%
도 10405
 
6.3%
기 10114
 
6.1%
경 10074
 
6.1%
시 9991
 
6.0%
번 9633
 
5.8%
호 5514
 
3.3%
층 5506
 
3.3%
구 4018
 
2.4%
Other values (542) 79474
47.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7969
Distinct (%)81.0%
Missing167
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean37.546338
Minimum37.288632
Maximum37.948666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:25:21.164765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.288632
5-th percentile37.358398
Q137.43266
median37.519338
Q337.651635
95-th percentile37.73153
Maximum37.948666
Range0.66003443
Interquartile range (IQR)0.21897545

Descriptive statistics

Standard deviation0.13457025
Coefficient of variation (CV)0.0035841112
Kurtosis-0.44542174
Mean37.546338
Median Absolute Deviation (MAD)0.1187577
Skewness0.36722307
Sum369193.15
Variance0.018109153
MonotonicityNot monotonic
2023-12-11T07:25:21.298514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4005799752 17
 
0.2%
37.649881189 14
 
0.1%
37.5955908777 14
 
0.1%
37.4012858766 13
 
0.1%
37.6645540055 13
 
0.1%
37.4226922567 12
 
0.1%
37.6688998917 12
 
0.1%
37.6558930852 10
 
0.1%
37.645986513 10
 
0.1%
37.397320957 10
 
0.1%
Other values (7959) 9708
97.1%
(Missing) 167
 
1.7%
ValueCountFrequency (%)
37.2886319428 1
< 0.1%
37.2977313526 1
< 0.1%
37.3005170787 1
< 0.1%
37.3010941803 1
< 0.1%
37.3055207766 2
< 0.1%
37.3056032181 1
< 0.1%
37.3075373223 1
< 0.1%
37.3086872092 1
< 0.1%
37.3145654954 1
< 0.1%
37.3148563454 1
< 0.1%
ValueCountFrequency (%)
37.9486663756 1
< 0.1%
37.9480901975 1
< 0.1%
37.9477308749 1
< 0.1%
37.9476932143 1
< 0.1%
37.9475041591 1
< 0.1%
37.9474608321 1
< 0.1%
37.9473869861 1
< 0.1%
37.94723382 1
< 0.1%
37.9471725098 1
< 0.1%
37.9471173749 1
< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7969
Distinct (%)81.0%
Missing167
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean126.9747
Minimum126.53419
Maximum127.55106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:25:21.431345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53419
5-th percentile126.65365
Q1126.78151
median126.9348
Q3127.14282
95-th percentile127.30701
Maximum127.55106
Range1.0168697
Interquartile range (IQR)0.36130094

Descriptive statistics

Standard deviation0.21722489
Coefficient of variation (CV)0.001710773
Kurtosis-1.0125475
Mean126.9747
Median Absolute Deviation (MAD)0.18035311
Skewness0.18424427
Sum1248542.2
Variance0.047186651
MonotonicityNot monotonic
2023-12-11T07:25:21.581633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1068799859 17
 
0.2%
126.8965324165 14
 
0.1%
127.1722604163 14
 
0.1%
127.1104579421 13
 
0.1%
126.7545272288 13
 
0.1%
126.8869683833 12
 
0.1%
126.6091490991 12
 
0.1%
126.7719705633 10
 
0.1%
126.6294804128 10
 
0.1%
127.1135515109 10
 
0.1%
Other values (7959) 9708
97.1%
(Missing) 167
 
1.7%
ValueCountFrequency (%)
126.5341928032 1
< 0.1%
126.535666761 1
< 0.1%
126.5359107932 1
< 0.1%
126.5366429773 1
< 0.1%
126.5376099095 1
< 0.1%
126.5402078202 1
< 0.1%
126.5409722485 1
< 0.1%
126.5419232152 1
< 0.1%
126.5420721587 1
< 0.1%
126.5430528165 1
< 0.1%
ValueCountFrequency (%)
127.5510624927 1
< 0.1%
127.5496745292 1
< 0.1%
127.5489091472 1
< 0.1%
127.5488562014 1
< 0.1%
127.538941133 1
< 0.1%
127.5357697222 1
< 0.1%
127.5352196102 1
< 0.1%
127.5297234165 1
< 0.1%
127.5259119529 1
< 0.1%
127.5252430432 1
< 0.1%

Interactions

2023-12-11T07:25:17.276963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:25:16.727628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:25:16.999935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:25:17.364437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:25:16.811981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:25:17.091780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:25:17.494665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:25:16.913812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:25:17.180346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:25:21.681535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명구분소재지우편번호WGS84위도WGS84경도
시군명1.0000.0420.9540.8860.915
구분0.0421.0000.0240.0400.050
소재지우편번호0.9540.0241.0000.9340.908
WGS84위도0.8860.0400.9341.0000.825
WGS84경도0.9150.0500.9080.8251.000
2023-12-11T07:25:21.778651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시군명
구분1.0000.033
시군명0.0331.000
2023-12-11T07:25:21.878502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명구분
소재지우편번호1.000-0.6970.1620.8240.019
WGS84위도-0.6971.000-0.2600.6440.030
WGS84경도0.162-0.2601.0000.7100.038
시군명0.8240.6440.7101.0000.033
구분0.0190.0300.0380.0331.000

Missing values

2023-12-11T07:25:17.669185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:25:17.809983image/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.
2023-12-11T07:25:17.920895image/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

시군명가맹점명구분소재지우편번호소재지도로명주소소재지지번주소WGS84위도WGS84경도
24603군포시소담촌(산본점)BC일반가맹점15865경기도 군포시 산본로323번길 16-7 ,5층 (산본동,롯데프라자)경기도 군포시 산본동 1135-1번지 롯데프라자 5층37.359225126.931762
27707김포시하성설렁탕BC일반가맹점10011경기도 김포시 하성면 마곡리 583-1번지경기도 김포시 하성면 마곡리 583-1번지37.717709126.636289
58770성남시처갓집양념치킨 위례역점BC일반가맹점13647경기도 성남시 수정구 위례광장로 27 ,1층 106호 (창곡동, 으뜸프라자)경기도 성남시 수정구 창곡동 547-2번지 으뜸프라자 1층 106호37.466928127.140074
51251성남시대세박목살BC일반가맹점13591경기도 성남시 분당구 서현로 204 202호 (서현동, 엘지분당에클라트2차)경기도 성남시 분당구 서현동 245-4번지 엘지분당에클라트2차 202호37.387119127.125205
34098남양주시씨유묵현성림점BC일반가맹점12157경기도 남양주시 화도읍 묵현리 426-6경기도 남양주시 화도읍 묵현리 426-637.657016127.275772
22760구리시타짜우동BC일반가맹점11931경기도 구리시 검배로 43 ,1층 104호 (수택동)경기도 구리시 수택동 512-14번지 신한은행구리금융센터 1층 104호37.597673127.144191
54966성남시씨유(CU) 더블트리바이힐튼점BC일반가맹점13553경기도 성남시 분당구 백현로 26 1층 3,4호 (정자동)경기도 성남시 분당구 정자동 3-2번지 1층 3,4호37.380381127.104444
37996남양주시긴자료코 진접점BC일반가맹점12059경기도 남양주시 진접읍 경복대로 233 1동 111호경기도 남양주시 진접읍 금곡리 1043번지 1동 111호37.719542127.202487
54170성남시와글탕후루BC일반가맹점13361경기도 성남시 중원구 원터로99번길 1 1층 일부호 (성남동)경기도 성남시 중원구 성남동 2555번지 1층 일부호37.435586127.142801
1944고양시하늘채BC주부식가맹점10523경기도 고양시 덕양구 무원로 24 ,107호 (행신동,골드프라자)경기도 고양시 덕양구 행신동 712번지 골드프라자 107호37.614881126.832661
시군명가맹점명구분소재지우편번호소재지도로명주소소재지지번주소WGS84위도WGS84경도
21930구리시도미노피자 갈매점BC일반가맹점11901경기도 구리시 갈매순환로 206 1층 109,110호(갈매동)경기도 구리시 갈매동 528-2번지 1층 109,110호37.637558127.121276
43579부천시국밥대장BC일반가맹점14642경기도 부천시 부천로24번길 28 1층 101호 (심곡동, 엠제이팰리스)경기도 부천시 심곡동 146-5번지 엠제이팰리스 1층 101호37.485938126.785466
3658고양시세븐일레븐원흥도내점BC일반가맹점10551경기도 고양시 덕양구 도래울3로 33 (도내동,엘에이치원흥도래울마을4단지상가동1층101,102호)경기도 고양시 덕양구 도내동 1011번지 엘에이치원흥도래울마을4단지상가동1층101,102호37.631613126.872642
22738구리시구리반점BC일반가맹점11925경기도 구리시 경춘로172번길 9 (교문동)경기도 구리시 교문동 227-2번지37.600095127.134505
31083김포시엄마가 사랑한 칼국수BC일반가맹점10012경기도 김포시 하성면 하성로 566 ,1층경기도 김포시 하성면 석탄리 491번지 1층37.7246126.632113
36942남양주시장현칼국수BC일반가맹점12002경기도 남양주시 진접읍 금강로1573번길 1경기도 남양주시 진접읍 장현리 92-1번지37.731444127.193543
2300고양시더더간장게장BC일반가맹점10290경기도 고양시 덕양구 원당로 357-1 ,1층 (원당동)경기도 고양시 덕양구 원당동 608-3번지 1층37.680061126.84961
13027광명시달콤 광명역자이스트릿점BC일반가맹점14349경기도 광명시 광명역로 26 상가동 1층 121~122호 (일직동, 광명역파크자이)경기도 광명시 일직동 518번지 광명역파크자이 상가동 1층 121~122호37.414825126.88562
28088김포시김밥천국BC일반가맹점10108경기도 김포시 돌문로 50 ,102(사우동,청운팰리스)경기도 김포시 사우동 945번지 청운팰리스 102호37.619556126.717799
1592고양시올떡볶이 레몬데라스점BC일반가맹점10589경기도 고양시 덕양구 삼송로 94-6 108 (삼송동)경기도 고양시 덕양구 삼송동 327-2번지 108호37.650558126.884511

Duplicate rows

Most frequently occurring

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0가평군선셋카페(CAFE)BC일반가맹점12455경기도 가평군 청평면 호반로 740 A동 2층경기도 가평군 청평면 호명리 342-6번지 A동 2층37.708871127.4663962
1고양시조선팔도갈비 정발산점BC일반가맹점10362경기도 고양시 일산동구 대산로11번길 5-22 1층 일부 (정발산동)경기도 고양시 일산동구 정발산동 687번지 1층 일부37.668583126.774842
2광명시하루방BC일반가맹점14251경기도 광명시 도덕공원로 75 (철산동)경기도 광명시 철산동 466-10번지37.475381126.8638172
3광주시산막골식당BC일반가맹점12740경기도 광주시 경안천로 141 (송정동)경기도 광주시 송정동 8-7번지37.417559127.2746452
4광주시이마트24 탄벌회관점BC일반가맹점12747경기도 광주시 탄벌길 46 (탄벌동)경기도 광주시 탄벌동 204-2번지37.421027127.2426862
5남양주시호식이두마리치킨 진접금곡점BC일반가맹점12069경기도 남양주시 진접읍 해밀예당3로 36 상가동 101호 (부영사랑으로아파트)경기도 남양주시 진접읍 금곡리 1107번지 부영사랑으로아파트 상가동 101호37.71308127.1990762
6부천시따뜻한 선물BC일반가맹점14726경기도 부천시 경인로134번길 46 ,1층 일부 (송내동)경기도 부천시 송내동 588-2번지 1층 일부37.481994126.7699062
7부천시세븐일레븐 중동시장점BC일반가맹점14607경기도 부천시 장말로 187 1층(중동)경기도 부천시 중동 765-11번지 1층37.493216126.7627042