Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells59
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory732.4 KiB
Average record size in memory75.0 B

Variable types

Categorical2
Text3
Numeric3

Dataset

Description의정부시에서 발행하고 의정부내에서만 사용이 가능한 충전식 선불카드인 의정부사랑카드를 사용할 수 있는 지역화폐 가맹점 현황 데이터입니다. 데이터는 시군명, 상호명, 업종명, 소재지(도로명주소), 우편번호, 위도, 경도, 데이터기준일자 등의 항목으로 구성되어 있습니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/15036011/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
우편번호 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 우편번호High correlation

Reproduction

Analysis started2023-12-13 00:11:58.474739
Analysis finished2023-12-13 00:12:00.352106
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
의정부시
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의정부시 10000
100.0%

Length

2023-12-13T09:12:00.402147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:12:00.469751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의정부시 10000
100.0%

상호명
Text

Distinct9999
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:12:00.703553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length7.0929
Min length1

Characters and Unicode

Total characters70929
Distinct characters1100
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9998 ?
Unique (%)> 99.9%

Sample

1st row소소갈비
2nd row아소비학원민락센터
3rd row크린토피아 코인워시 의정부코스트코점
4th row잘생긴인테리어
5th row기승전수학
ValueCountFrequency (%)
의정부점 135
 
1.0%
민락점 94
 
0.7%
의정부 79
 
0.6%
주식회사 46
 
0.4%
의정부민락점 43
 
0.3%
이마트24 36
 
0.3%
의정부역점 34
 
0.3%
더 33
 
0.3%
금오점 27
 
0.2%
헤어 26
 
0.2%
Other values (10913) 12575
95.8%
2023-12-13T09:12:01.109063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3131
 
4.4%
점 1719
 
2.4%
이 1487
 
2.1%
스 1429
 
2.0%
의 1331
 
1.9%
정 1267
 
1.8%
원 1180
 
1.7%
부 1103
 
1.6%
( 904
 
1.3%
) 901
 
1.3%
Other values (1090) 56477
79.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60501
85.3%
Space Separator 3132
 
4.4%
Uppercase Letter 2266
 
3.2%
Lowercase Letter 2036
 
2.9%
Open Punctuation 905
 
1.3%
Close Punctuation 902
 
1.3%
Decimal Number 870
 
1.2%
Other Punctuation 276
 
0.4%
Dash Punctuation 29
 
< 0.1%
Math Symbol 6
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1719
 
2.8%
이 1487
 
2.5%
스 1429
 
2.4%
의 1331
 
2.2%
정 1267
 
2.1%
원 1180
 
2.0%
부 1103
 
1.8%
리 878
 
1.5%
어 846
 
1.4%
아 699
 
1.2%
Other values (1005) 48562
80.3%
Uppercase Letter
ValueCountFrequency (%)
S 225
 
9.9%
C 171
 
7.5%
A 163
 
7.2%
E 152
 
6.7%
G 133
 
5.9%
N 129
 
5.7%
O 116
 
5.1%
P 115
 
5.1%
T 108
 
4.8%
M 100
 
4.4%
Other values (16) 854
37.7%
Lowercase Letter
ValueCountFrequency (%)
e 271
13.3%
a 213
 
10.5%
o 186
 
9.1%
i 171
 
8.4%
l 138
 
6.8%
n 137
 
6.7%
r 105
 
5.2%
s 102
 
5.0%
t 91
 
4.5%
c 72
 
3.5%
Other values (15) 550
27.0%
Other Punctuation
ValueCountFrequency (%)
& 103
37.3%
. 74
26.8%
/ 26
 
9.4%
, 25
 
9.1%
' 20
 
7.2%
# 15
 
5.4%
% 6
 
2.2%
: 3
 
1.1%
! 2
 
0.7%
; 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 286
32.9%
5 137
15.7%
1 130
14.9%
4 85
 
9.8%
3 58
 
6.7%
0 55
 
6.3%
9 44
 
5.1%
7 27
 
3.1%
8 25
 
2.9%
6 23
 
2.6%
Math Symbol
ValueCountFrequency (%)
+ 4
66.7%
< 1
 
16.7%
× 1
 
16.7%
Space Separator
ValueCountFrequency (%)
3131
> 99.9%
　 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 904
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 901
99.9%
] 1
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Other Symbol
ValueCountFrequency (%)
® 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60477
85.3%
Common 6126
 
8.6%
Latin 4302
 
6.1%
Han 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1719
 
2.8%
이 1487
 
2.5%
스 1429
 
2.4%
의 1331
 
2.2%
정 1267
 
2.1%
원 1180
 
2.0%
부 1103
 
1.8%
리 878
 
1.5%
어 846
 
1.4%
아 699
 
1.2%
Other values (987) 48538
80.3%
Latin
ValueCountFrequency (%)
e 271
 
6.3%
S 225
 
5.2%
a 213
 
5.0%
o 186
 
4.3%
i 171
 
4.0%
C 171
 
4.0%
A 163
 
3.8%
E 152
 
3.5%
l 138
 
3.2%
n 137
 
3.2%
Other values (41) 2475
57.5%
Common
ValueCountFrequency (%)
3131
51.1%
( 904
 
14.8%
) 901
 
14.7%
2 286
 
4.7%
5 137
 
2.2%
1 130
 
2.1%
& 103
 
1.7%
4 85
 
1.4%
. 74
 
1.2%
3 58
 
0.9%
Other values (24) 317
 
5.2%
Han
ValueCountFrequency (%)
美 4
16.7%
熺 2
 
8.3%
家 2
 
8.3%
秀 2
 
8.3%
品 1
 
4.2%
尹 1
 
4.2%
水 1
 
4.2%
來 1
 
4.2%
興 1
 
4.2%
仙 1
 
4.2%
Other values (8) 8
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60475
85.3%
ASCII 10425
 
14.7%
CJK 24
 
< 0.1%
None 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3131
30.0%
( 904
 
8.7%
) 901
 
8.6%
2 286
 
2.7%
e 271
 
2.6%
S 225
 
2.2%
a 213
 
2.0%
o 186
 
1.8%
i 171
 
1.6%
C 171
 
1.6%
Other values (72) 3966
38.0%
Hangul
ValueCountFrequency (%)
점 1719
 
2.8%
이 1487
 
2.5%
스 1429
 
2.4%
의 1331
 
2.2%
정 1267
 
2.1%
원 1180
 
2.0%
부 1103
 
1.8%
리 878
 
1.5%
어 846
 
1.4%
아 699
 
1.2%
Other values (985) 48536
80.3%
CJK
ValueCountFrequency (%)
美 4
16.7%
熺 2
 
8.3%
家 2
 
8.3%
秀 2
 
8.3%
品 1
 
4.2%
尹 1
 
4.2%
水 1
 
4.2%
來 1
 
4.2%
興 1
 
4.2%
仙 1
 
4.2%
Other values (8) 8
33.3%
None
ValueCountFrequency (%)
® 1
33.3%
　 1
33.3%
× 1
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅋ 1
50.0%
ㅡ 1
50.0%

업종명
Text

Distinct169
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:12:01.296938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length4.3232
Min length2

Characters and Unicode

Total characters43232
Distinct characters211
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)0.2%

Sample

1st row미용원
2nd row기타음료식품
3rd row사진관
4th row일반한식
5th row일반한식
ValueCountFrequency (%)
일반한식 1827
 
14.9%
서양음식 756
 
6.1%
미용원 636
 
5.2%
기타음료식품 365
 
3.0%
스넥 332
 
2.7%
점 317
 
2.6%
편 316
 
2.6%
의 316
 
2.6%
정장 313
 
2.5%
예 305
 
2.5%
Other values (196) 6817
55.4%
2023-12-13T09:12:01.575865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 3201
 
7.4%
2605
 
6.0%
일 2020
 
4.7%
한 1898
 
4.4%
반 1888
 
4.4%
원 1760
 
4.1%
기 1685
 
3.9%
용 1234
 
2.9%
서 1170
 
2.7%
타 1157
 
2.7%
Other values (201) 24614
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40260
93.1%
Space Separator 2605
 
6.0%
Other Punctuation 170
 
0.4%
Open Punctuation 67
 
0.2%
Close Punctuation 67
 
0.2%
Decimal Number 43
 
0.1%
Uppercase Letter 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 3201
 
8.0%
일 2020
 
5.0%
한 1898
 
4.7%
반 1888
 
4.7%
원 1760
 
4.4%
기 1685
 
4.2%
용 1234
 
3.1%
서 1170
 
2.9%
타 1157
 
2.9%
음 1122
 
2.8%
Other values (188) 23125
57.4%
Uppercase Letter
ValueCountFrequency (%)
O 7
35.0%
A 7
35.0%
G 2
 
10.0%
P 2
 
10.0%
L 2
 
10.0%
Decimal Number
ValueCountFrequency (%)
4 34
79.1%
1 8
 
18.6%
2 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 124
72.9%
/ 46
 
27.1%
Space Separator
ValueCountFrequency (%)
2605
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40260
93.1%
Common 2952
 
6.8%
Latin 20
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 3201
 
8.0%
일 2020
 
5.0%
한 1898
 
4.7%
반 1888
 
4.7%
원 1760
 
4.4%
기 1685
 
4.2%
용 1234
 
3.1%
서 1170
 
2.9%
타 1157
 
2.9%
음 1122
 
2.8%
Other values (188) 23125
57.4%
Common
ValueCountFrequency (%)
2605
88.2%
, 124
 
4.2%
( 67
 
2.3%
) 67
 
2.3%
/ 46
 
1.6%
4 34
 
1.2%
1 8
 
0.3%
2 1
 
< 0.1%
Latin
ValueCountFrequency (%)
O 7
35.0%
A 7
35.0%
G 2
 
10.0%
P 2
 
10.0%
L 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40260
93.1%
ASCII 2972
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 3201
 
8.0%
일 2020
 
5.0%
한 1898
 
4.7%
반 1888
 
4.7%
원 1760
 
4.4%
기 1685
 
4.2%
용 1234
 
3.1%
서 1170
 
2.9%
타 1157
 
2.9%
음 1122
 
2.8%
Other values (188) 23125
57.4%
ASCII
ValueCountFrequency (%)
2605
87.7%
, 124
 
4.2%
( 67
 
2.3%
) 67
 
2.3%
/ 46
 
1.5%
4 34
 
1.1%
1 8
 
0.3%
O 7
 
0.2%
A 7
 
0.2%
G 2
 
0.1%
Other values (3) 5
 
0.2%

소재지(도로명주소)
Text

Distinct9570
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:12:01.813295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length58
Mean length31.8785
Min length13

Characters and Unicode

Total characters318785
Distinct characters484
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

Unique9222 ?
Unique (%)92.2%

Sample

1st row경기도 의정부시 평화로552번길 9-14 1층 108호 (의정부동)
2nd row경기도 의정부시 용민로 192 112호 (민락동, 웅신프라자)
3rd row경기도 의정부시 태평로73번길 54 ,3층 (의정부동)
4th row경기도 의정부시 범골로 94 101호(의정부동, 씨티빌딩)
5th row경기도 의정부시 의정부동 94-22
ValueCountFrequency (%)
경기도 10000
 
16.0%
의정부시 10000
 
16.0%
1층 2864
 
4.6%
의정부동 2215
 
3.5%
민락동 982
 
1.6%
가능동 918
 
1.5%
신곡동 803
 
1.3%
호원동 717
 
1.1%
2층 669
 
1.1%
평화로 566
 
0.9%
Other values (5740) 32908
52.5%
2023-12-13T09:12:02.180399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52646
 
16.5%
1 16378
 
5.1%
부 13762
 
4.3%
의 13676
 
4.3%
정 13511
 
4.2%
동 11900
 
3.7%
시 11112
 
3.5%
경 10238
 
3.2%
도 10131
 
3.2%
기 10008
 
3.1%
Other values (474) 155423
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179494
56.3%
Decimal Number 58317
 
18.3%
Space Separator 52646
 
16.5%
Close Punctuation 9598
 
3.0%
Open Punctuation 9596
 
3.0%
Other Punctuation 6820
 
2.1%
Dash Punctuation 1799
 
0.6%
Uppercase Letter 456
 
0.1%
Math Symbol 44
 
< 0.1%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 13762
 
7.7%
의 13676
 
7.6%
정 13511
 
7.5%
동 11900
 
6.6%
시 11112
 
6.2%
경 10238
 
5.7%
도 10131
 
5.6%
기 10008
 
5.6%
로 9691
 
5.4%
호 6274
 
3.5%
Other values (426) 69191
38.5%
Uppercase Letter
ValueCountFrequency (%)
B 118
25.9%
A 71
15.6%
I 64
14.0%
S 30
 
6.6%
E 23
 
5.0%
G 22
 
4.8%
C 19
 
4.2%
H 16
 
3.5%
L 13
 
2.9%
M 10
 
2.2%
Other values (13) 70
15.4%
Decimal Number
ValueCountFrequency (%)
1 16378
28.1%
2 8664
14.9%
0 7256
12.4%
3 5502
 
9.4%
5 4449
 
7.6%
4 4253
 
7.3%
6 3585
 
6.1%
7 2945
 
5.0%
8 2655
 
4.6%
9 2630
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 6748
98.9%
. 52
 
0.8%
& 7
 
0.1%
/ 7
 
0.1%
@ 6
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 8
57.1%
l 3
 
21.4%
c 2
 
14.3%
r 1
 
7.1%
Space Separator
ValueCountFrequency (%)
52646
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9598
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9596
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1799
100.0%
Math Symbol
ValueCountFrequency (%)
~ 44
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179494
56.3%
Common 138820
43.5%
Latin 471
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 13762
 
7.7%
의 13676
 
7.6%
정 13511
 
7.5%
동 11900
 
6.6%
시 11112
 
6.2%
경 10238
 
5.7%
도 10131
 
5.6%
기 10008
 
5.6%
로 9691
 
5.4%
호 6274
 
3.5%
Other values (426) 69191
38.5%
Latin
ValueCountFrequency (%)
B 118
25.1%
A 71
15.1%
I 64
13.6%
S 30
 
6.4%
E 23
 
4.9%
G 22
 
4.7%
C 19
 
4.0%
H 16
 
3.4%
L 13
 
2.8%
M 10
 
2.1%
Other values (18) 85
18.0%
Common
ValueCountFrequency (%)
52646
37.9%
1 16378
 
11.8%
) 9598
 
6.9%
( 9596
 
6.9%
2 8664
 
6.2%
0 7256
 
5.2%
, 6748
 
4.9%
3 5502
 
4.0%
5 4449
 
3.2%
4 4253
 
3.1%
Other values (10) 13730
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179494
56.3%
ASCII 139290
43.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52646
37.8%
1 16378
 
11.8%
) 9598
 
6.9%
( 9596
 
6.9%
2 8664
 
6.2%
0 7256
 
5.2%
, 6748
 
4.8%
3 5502
 
4.0%
5 4449
 
3.2%
4 4253
 
3.1%
Other values (37) 14200
 
10.2%
Hangul
ValueCountFrequency (%)
부 13762
 
7.7%
의 13676
 
7.6%
정 13511
 
7.5%
동 11900
 
6.6%
시 11112
 
6.2%
경 10238
 
5.7%
도 10131
 
5.6%
기 10008
 
5.6%
로 9691
 
5.4%
호 6274
 
3.5%
Other values (426) 69191
38.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct210
Distinct (%)2.1%
Missing59
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean11718.888
Minimum11600
Maximum11816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:12:02.289703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11600
5-th percentile11617
Q111676
median11700
Q311775
95-th percentile11813
Maximum11816
Range216
Interquartile range (IQR)99

Descriptive statistics

Standard deviation61.626348
Coefficient of variation (CV)0.0052587196
Kurtosis-1.1056577
Mean11718.888
Median Absolute Deviation (MAD)49
Skewness0.070007624
Sum1.1649747 × 108
Variance3797.8067
MonotonicityNot monotonic
2023-12-13T09:12:02.388573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11813 775
 
7.8%
11695 693
 
6.9%
11692 269
 
2.7%
11757 245
 
2.5%
11696 181
 
1.8%
11775 180
 
1.8%
11697 177
 
1.8%
11740 150
 
1.5%
11686 149
 
1.5%
11808 145
 
1.5%
Other values (200) 6977
69.8%
ValueCountFrequency (%)
11600 4
 
< 0.1%
11601 24
0.2%
11602 4
 
< 0.1%
11603 4
 
< 0.1%
11604 11
 
0.1%
11605 8
 
0.1%
11606 35
0.4%
11607 5
 
0.1%
11608 35
0.4%
11609 5
 
0.1%
ValueCountFrequency (%)
11816 3
 
< 0.1%
11815 119
 
1.2%
11814 3
 
< 0.1%
11813 775
7.8%
11812 115
 
1.1%
11811 5
 
0.1%
11810 74
 
0.7%
11809 42
 
0.4%
11808 145
 
1.5%
11807 28
 
0.3%

위도
Real number (ℝ)

Distinct4632
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.740025
Minimum37.690558
Maximum37.776504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:12:02.514529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.690558
5-th percentile37.720639
Q137.734988
median37.740812
Q337.747179
95-th percentile37.756344
Maximum37.776504
Range0.08594668
Interquartile range (IQR)0.012191225

Descriptive statistics

Standard deviation0.011120328
Coefficient of variation (CV)0.00029465608
Kurtosis1.7009035
Mean37.740025
Median Absolute Deviation (MAD)0.006125355
Skewness-0.96613842
Sum377400.25
Variance0.00012366169
MonotonicityNot monotonic
2023-12-13T09:12:02.626662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.74012341 213
 
2.1%
37.73924742 152
 
1.5%
37.74397824 56
 
0.6%
37.7379758 39
 
0.4%
37.75045467 35
 
0.4%
37.726392 33
 
0.3%
37.743685 32
 
0.3%
37.74341965 29
 
0.3%
37.74299071 29
 
0.3%
37.74509558 29
 
0.3%
Other values (4622) 9353
93.5%
ValueCountFrequency (%)
37.69055768 4
< 0.1%
37.69072111 6
0.1%
37.69102502 1
 
< 0.1%
37.69382477 2
 
< 0.1%
37.69395838 1
 
< 0.1%
37.69438851 1
 
< 0.1%
37.69462284 1
 
< 0.1%
37.69471331 1
 
< 0.1%
37.69487096 1
 
< 0.1%
37.69492935 1
 
< 0.1%
ValueCountFrequency (%)
37.77650436 1
< 0.1%
37.7705622 1
< 0.1%
37.76950254 1
< 0.1%
37.76759528 1
< 0.1%
37.76743286 1
< 0.1%
37.76690304 1
< 0.1%
37.76620954 1
< 0.1%
37.76587926 1
< 0.1%
37.7658792 1
< 0.1%
37.76522454 1
< 0.1%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct4619
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.0604
Minimum127.00948
Maximum127.12397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:12:02.723664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.00948
5-th percentile127.03437
Q1127.04443
median127.05057
Q3127.07727
95-th percentile127.10321
Maximum127.12397
Range0.1144941
Interquartile range (IQR)0.032842275

Descriptive statistics

Standard deviation0.022729651
Coefficient of variation (CV)0.00017888856
Kurtosis-0.38508816
Mean127.0604
Median Absolute Deviation (MAD)0.0103274
Skewness0.85502168
Sum1270604
Variance0.00051663705
MonotonicityNot monotonic
2023-12-13T09:12:02.827490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0500718 213
 
2.1%
127.0475868 152
 
1.5%
127.0993011 56
 
0.6%
127.0440973 39
 
0.4%
127.0722947 35
 
0.4%
127.0534573 33
 
0.3%
127.0998379 32
 
0.3%
127.05707 29
 
0.3%
127.0993102 29
 
0.3%
127.1004879 29
 
0.3%
Other values (4609) 9353
93.5%
ValueCountFrequency (%)
127.009478 1
< 0.1%
127.0117708 1
< 0.1%
127.0119591 1
< 0.1%
127.0120629 1
< 0.1%
127.0131907 1
< 0.1%
127.0137081 1
< 0.1%
127.0163744 1
< 0.1%
127.0173051 1
< 0.1%
127.0175918 1
< 0.1%
127.018221 1
< 0.1%
ValueCountFrequency (%)
127.1239721 1
 
< 0.1%
127.1201143 1
 
< 0.1%
127.1195803 2
 
< 0.1%
127.119244 2
 
< 0.1%
127.1192377 2
 
< 0.1%
127.119212 1
 
< 0.1%
127.1188921 1
 
< 0.1%
127.1185757 25
0.2%
127.118436 4
 
< 0.1%
127.1181745 1
 
< 0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-01-01
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-01
2nd row2023-01-01
3rd row2023-01-01
4th row2023-01-01
5th row2023-01-01

Common Values

ValueCountFrequency (%)
2023-01-01 10000
100.0%

Length

2023-12-13T09:12:02.920076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:12:03.192770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 10000
100.0%

Interactions

2023-12-13T09:11:59.949651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:11:59.536386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:11:59.738849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:12:00.030304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:11:59.602800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:11:59.805169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:12:00.109204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:11:59.669031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:11:59.873460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:12:03.231543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도
우편번호1.0000.8500.936
위도0.8501.0000.674
경도0.9360.6741.000
2023-12-13T09:12:03.299004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도
우편번호1.0000.0780.948
위도0.0781.0000.048
경도0.9480.0481.000

Missing values

2023-12-13T09:12:00.201669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:12:00.299776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시군명상호명업종명소재지(도로명주소)우편번호위도경도데이터기준일자
7452의정부시소소갈비미용원경기도 의정부시 평화로552번길 9-14 1층 108호 (의정부동)1169237.741844127.0477812023-01-01
9201의정부시아소비학원민락센터기타음료식품경기도 의정부시 용민로 192 112호 (민락동, 웅신프라자)1181337.745764127.0936852023-01-01
12269의정부시크린토피아 코인워시 의정부코스트코점사진관경기도 의정부시 태평로73번길 54 ,3층 (의정부동)1169537.739129127.0485872023-01-01
2684의정부시잘생긴인테리어일반한식경기도 의정부시 범골로 94 101호(의정부동, 씨티빌딩)1162537.733074127.0384762023-01-01
11214의정부시기승전수학일반한식경기도 의정부시 의정부동 94-221169837.73696127.0522562023-01-01
1253의정부시송이네 국수집악기점경기도 의정부시 충의로57번길 7-5 ,1층 (용현동)1178937.736612127.0869672023-01-01
4048의정부시장패침구 수예점경기도 의정부시 가능로49번길 16 1층 (가능동)1168137.747395127.0367822023-01-01
10734의정부시별네일기타 교육기관경기도 의정부시 금신로 276 108동 505호 (신곡동, E편한세상신곡포레스타뷰)1178037.744613127.0673862023-01-01
13738의정부시변호사이형섭법률사무소보습학원경기도 의정부시 오목로225번길 177 ,302호 (민락동,폴리프라자)1181337.744566127.0971722023-01-01
4906의정부시바른 해동검도예 체능계학원경기도 의정부시 능곡로 42 301호 (신곡동,벽산프라자)1174637.741195127.0612232023-01-01
시군명상호명업종명소재지(도로명주소)우편번호위도경도데이터기준일자
10076의정부시커피요(Coffee Yo)서양음식경기도 의정부시 태평로63번길 23 2층 (의정부동)1169537.738377127.0502872023-01-01
5134의정부시참아름다운한복농 축 수산품경기도 의정부시 시민로157번길 31 (의정부동)1169437.738951127.0522082023-01-01
1417의정부시지에스25 의정부럭스점일반한식경기도 의정부시 동일로 680-1 1층 (금오동)1175037.74862127.0534242023-01-01
13982의정부시싱크퓨어일반한식경기도 의정부시 용민로 32 1층 (용현동)1178537.735396127.0823982023-01-01
11354의정부시유명한푸줏간서양음식경기도 의정부시 호국로 1333 (의정부동)1168837.744338127.0520492023-01-01
12507의정부시120%쿨(망월사점)일반한식경기도 의정부시 용민로 304 514동 1층 102호 (낙양동, 반도유보라아이비파크)1181237.750784127.1032132023-01-01
12246의정부시한국도자기의정부전시장예 체능계학원경기도 의정부시 호암로 230 (호원동,신일유토빌아파트상가2층)1163837.721055127.0453132023-01-01
10479의정부시아이스크림 다잇쏘 4호점기타건강식품경기도 의정부시 추동로 43 지층 3호 상가동 (신곡동,극동동성아파트)1174037.744783127.0592942023-01-01
1316의정부시글라스스타미용원경기도 의정부시 동일로472번길 29, 1동 1-114호 상가 (신곡동,서해아파트)1173837.730275127.0601812023-01-01
9827의정부시하나블라인드 주식회사일반한식경기도 의정부시 발곡로3번길 10 (신곡동)1172937.731731127.055252023-01-01