Overview

Dataset statistics

Number of variables7
Number of observations5059
Missing cells1878
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory281.7 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Text5
Categorical1

Dataset

Description안양시에서 발행하는 안양사랑상품권(종이)형(안양사랑상품권 가맹점명, 안양사랑상품권 업태, 안양사랑상품권 종목, 안양사랑상품권 연락처,안양사랑상품권가맹점주소,안양사랑상품권 가명점 행정동) 데이터 정보입니다. ## LINK 미리보기 [![미리보기](http://curate.gimi9.com/linkview/www-data-go-kr-data-filedata-15059654?url=https%3A//www.anyang.go.kr/main/contents.do%3Fkey%3D1778&version=d7)](https://www.data.go.kr/data/15059654/fileData.do)
URLhttps://www.data.go.kr/data/15059654/fileData.do

Alerts

연번 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 연번High correlation
연락처 has 1875 (37.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:52:22.704830
Analysis finished2023-12-12 02:52:24.690873
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct5059
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2530
Minimum1
Maximum5059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size44.6 KiB
2023-12-12T11:52:24.830935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile253.9
Q11265.5
median2530
Q33794.5
95-th percentile4806.1
Maximum5059
Range5058
Interquartile range (IQR)2529

Descriptive statistics

Standard deviation1460.5518
Coefficient of variation (CV)0.57729322
Kurtosis-1.2
Mean2530
Median Absolute Deviation (MAD)1265
Skewness0
Sum12799270
Variance2133211.7
MonotonicityStrictly increasing
2023-12-12T11:52:25.056836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3372 1
 
< 0.1%
3379 1
 
< 0.1%
3378 1
 
< 0.1%
3377 1
 
< 0.1%
3376 1
 
< 0.1%
3375 1
 
< 0.1%
3374 1
 
< 0.1%
3373 1
 
< 0.1%
3371 1
 
< 0.1%
Other values (5049) 5049
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5059 1
< 0.1%
5058 1
< 0.1%
5057 1
< 0.1%
5056 1
< 0.1%
5055 1
< 0.1%
5054 1
< 0.1%
5053 1
< 0.1%
5052 1
< 0.1%
5051 1
< 0.1%
5050 1
< 0.1%

가맹점명
Text

Distinct4910
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size39.7 KiB
2023-12-12T11:52:25.419509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length25
Mean length6.302629
Min length1

Characters and Unicode

Total characters31885
Distinct characters941
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4785 ?
Unique (%)94.6%

Sample

1st row대동문고
2nd row꼬꼬바베큐
3rd row입소문
4th row빅마우스
5th row다리(DARI)1983
ValueCountFrequency (%)
주식회사 57
 
0.9%
평촌점 42
 
0.7%
씨유 29
 
0.5%
안양점 28
 
0.5%
범계점 14
 
0.2%
안양 14
 
0.2%
카페 13
 
0.2%
관양점 13
 
0.2%
파리바게트 13
 
0.2%
비산점 10
 
0.2%
Other values (5391) 5895
96.2%
2023-12-12T11:52:25.930622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1098
 
3.4%
점 633
 
2.0%
이 577
 
1.8%
양 498
 
1.6%
안 486
 
1.5%
리 484
 
1.5%
원 479
 
1.5%
스 468
 
1.5%
사 411
 
1.3%
어 410
 
1.3%
Other values (931) 26341
82.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29085
91.2%
Space Separator 1098
 
3.4%
Uppercase Letter 514
 
1.6%
Lowercase Letter 337
 
1.1%
Decimal Number 295
 
0.9%
Close Punctuation 200
 
0.6%
Open Punctuation 198
 
0.6%
Other Punctuation 84
 
0.3%
Other Symbol 68
 
0.2%
Dash Punctuation 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 633
 
2.2%
이 577
 
2.0%
양 498
 
1.7%
안 486
 
1.7%
리 484
 
1.7%
원 479
 
1.6%
스 468
 
1.6%
사 411
 
1.4%
어 410
 
1.4%
한 316
 
1.1%
Other values (854) 24323
83.6%
Uppercase Letter
ValueCountFrequency (%)
S 47
 
9.1%
C 46
 
8.9%
E 40
 
7.8%
B 39
 
7.6%
A 35
 
6.8%
O 30
 
5.8%
L 24
 
4.7%
U 23
 
4.5%
T 22
 
4.3%
P 22
 
4.3%
Other values (16) 186
36.2%
Lowercase Letter
ValueCountFrequency (%)
e 48
14.2%
o 32
 
9.5%
a 29
 
8.6%
i 27
 
8.0%
n 24
 
7.1%
l 23
 
6.8%
r 19
 
5.6%
m 13
 
3.9%
h 13
 
3.9%
c 13
 
3.9%
Other values (15) 96
28.5%
Decimal Number
ValueCountFrequency (%)
2 64
21.7%
1 63
21.4%
5 33
11.2%
3 28
9.5%
9 24
 
8.1%
0 23
 
7.8%
4 19
 
6.4%
8 17
 
5.8%
6 12
 
4.1%
7 12
 
4.1%
Other Punctuation
ValueCountFrequency (%)
& 31
36.9%
. 19
22.6%
, 17
20.2%
' 4
 
4.8%
# 4
 
4.8%
/ 3
 
3.6%
· 2
 
2.4%
: 2
 
2.4%
! 2
 
2.4%
Space Separator
ValueCountFrequency (%)
1098
100.0%
Close Punctuation
ValueCountFrequency (%)
) 200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 198
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29146
91.4%
Common 1881
 
5.9%
Latin 851
 
2.7%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 633
 
2.2%
이 577
 
2.0%
양 498
 
1.7%
안 486
 
1.7%
리 484
 
1.7%
원 479
 
1.6%
스 468
 
1.6%
사 411
 
1.4%
어 410
 
1.4%
한 316
 
1.1%
Other values (850) 24384
83.7%
Latin
ValueCountFrequency (%)
e 48
 
5.6%
S 47
 
5.5%
C 46
 
5.4%
E 40
 
4.7%
B 39
 
4.6%
A 35
 
4.1%
o 32
 
3.8%
O 30
 
3.5%
a 29
 
3.4%
i 27
 
3.2%
Other values (41) 478
56.2%
Common
ValueCountFrequency (%)
1098
58.4%
) 200
 
10.6%
( 198
 
10.5%
2 64
 
3.4%
1 63
 
3.3%
5 33
 
1.8%
& 31
 
1.6%
3 28
 
1.5%
9 24
 
1.3%
0 23
 
1.2%
Other values (15) 119
 
6.3%
Han
ValueCountFrequency (%)
美 3
42.9%
秀 1
 
14.3%
人 1
 
14.3%
茶 1
 
14.3%
六 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29078
91.2%
ASCII 2730
 
8.6%
None 70
 
0.2%
CJK 5
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1098
40.2%
) 200
 
7.3%
( 198
 
7.3%
2 64
 
2.3%
1 63
 
2.3%
e 48
 
1.8%
S 47
 
1.7%
C 46
 
1.7%
E 40
 
1.5%
B 39
 
1.4%
Other values (65) 887
32.5%
Hangul
ValueCountFrequency (%)
점 633
 
2.2%
이 577
 
2.0%
양 498
 
1.7%
안 486
 
1.7%
리 484
 
1.7%
원 479
 
1.6%
스 468
 
1.6%
사 411
 
1.4%
어 410
 
1.4%
한 316
 
1.1%
Other values (849) 24316
83.6%
None
ValueCountFrequency (%)
㈜ 68
97.1%
· 2
 
2.9%
CJK
ValueCountFrequency (%)
美 3
60.0%
秀 1
 
20.0%
人 1
 
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
50.0%
六 1
50.0%

업태
Text

Distinct382
Distinct (%)7.6%
Missing1
Missing (%)< 0.1%
Memory size39.7 KiB
2023-12-12T11:52:26.183181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length538
Median length24
Mean length3.6807038
Min length1

Characters and Unicode

Total characters18617
Distinct characters144
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique259 ?
Unique (%)5.1%

Sample

1st row도소매, 소매
2nd row음식
3rd row소매
4th row소매
5th row패션 도소매
ValueCountFrequency (%)
음식 947
16.5%
소매업 639
11.1%
소매 623
10.8%
서비스 598
10.4%
도소매 432
 
7.5%
음식점업 424
 
7.4%
도매 272
 
4.7%
및 235
 
4.1%
서비스업 208
 
3.6%
음식점 122
 
2.1%
Other values (258) 1249
21.7%
2023-12-12T11:52:26.595711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
매 2278
12.2%
업 2022
10.9%
소 1951
10.5%
음 1756
9.4%
식 1754
9.4%
1261
 
6.8%
스 1056
 
5.7%
비 1054
 
5.7%
서 1050
 
5.6%
도 898
 
4.8%
Other values (134) 3537
19.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16961
91.1%
Space Separator 1261
 
6.8%
Other Punctuation 385
 
2.1%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
매 2278
13.4%
업 2022
11.9%
소 1951
11.5%
음 1756
10.4%
식 1754
10.3%
스 1056
6.2%
비 1054
6.2%
서 1050
6.2%
도 898
 
5.3%
점 638
 
3.8%
Other values (127) 2504
14.8%
Other Punctuation
ValueCountFrequency (%)
, 360
93.5%
. 16
 
4.2%
/ 6
 
1.6%
· 3
 
0.8%
Space Separator
ValueCountFrequency (%)
1261
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16961
91.1%
Common 1656
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
매 2278
13.4%
업 2022
11.9%
소 1951
11.5%
음 1756
10.4%
식 1754
10.3%
스 1056
6.2%
비 1054
6.2%
서 1050
6.2%
도 898
 
5.3%
점 638
 
3.8%
Other values (127) 2504
14.8%
Common
ValueCountFrequency (%)
1261
76.1%
, 360
 
21.7%
. 16
 
1.0%
/ 6
 
0.4%
( 5
 
0.3%
) 5
 
0.3%
· 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16961
91.1%
ASCII 1653
 
8.9%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
매 2278
13.4%
업 2022
11.9%
소 1951
11.5%
음 1756
10.4%
식 1754
10.3%
스 1056
6.2%
비 1054
6.2%
서 1050
6.2%
도 898
 
5.3%
점 638
 
3.8%
Other values (127) 2504
14.8%
ASCII
ValueCountFrequency (%)
1261
76.3%
, 360
 
21.8%
. 16
 
1.0%
/ 6
 
0.4%
( 5
 
0.3%
) 5
 
0.3%
None
ValueCountFrequency (%)
· 3
100.0%

종목
Text

Distinct1617
Distinct (%)32.0%
Missing2
Missing (%)< 0.1%
Memory size39.7 KiB
2023-12-12T11:52:26.952199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length4.2695274
Min length1

Characters and Unicode

Total characters21591
Distinct characters482
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1254 ?
Unique (%)24.8%

Sample

1st row서적, 문구, 교구
2nd row기타주점
3rd row잡화
4th row의류
5th row핸드백, 가방
ValueCountFrequency (%)
한식 783
 
13.0%
미용 176
 
2.9%
의류 149
 
2.5%
한의원 109
 
1.8%
치킨 91
 
1.5%
잡화 79
 
1.3%
커피 76
 
1.3%
중식 76
 
1.3%
및 75
 
1.2%
미용업 74
 
1.2%
Other values (1503) 4341
72.0%
2023-12-12T11:52:27.405702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 1508
 
7.0%
, 1033
 
4.8%
1021
 
4.7%
한 957
 
4.4%
용 560
 
2.6%
의 498
 
2.3%
업 488
 
2.3%
미 408
 
1.9%
품 399
 
1.8%
기 342
 
1.6%
Other values (472) 14377
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19343
89.6%
Other Punctuation 1061
 
4.9%
Space Separator 1021
 
4.7%
Open Punctuation 77
 
0.4%
Close Punctuation 77
 
0.4%
Uppercase Letter 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 1508
 
7.8%
한 957
 
4.9%
용 560
 
2.9%
의 498
 
2.6%
업 488
 
2.5%
미 408
 
2.1%
품 399
 
2.1%
기 342
 
1.8%
점 311
 
1.6%
음 293
 
1.5%
Other values (457) 13579
70.2%
Uppercase Letter
ValueCountFrequency (%)
P 3
25.0%
C 2
16.7%
T 2
16.7%
E 1
 
8.3%
G 1
 
8.3%
L 1
 
8.3%
S 1
 
8.3%
A 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 1033
97.4%
. 16
 
1.5%
/ 10
 
0.9%
· 2
 
0.2%
Space Separator
ValueCountFrequency (%)
1021
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19343
89.6%
Common 2236
 
10.4%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 1508
 
7.8%
한 957
 
4.9%
용 560
 
2.9%
의 498
 
2.6%
업 488
 
2.5%
미 408
 
2.1%
품 399
 
2.1%
기 342
 
1.8%
점 311
 
1.6%
음 293
 
1.5%
Other values (457) 13579
70.2%
Latin
ValueCountFrequency (%)
P 3
25.0%
C 2
16.7%
T 2
16.7%
E 1
 
8.3%
G 1
 
8.3%
L 1
 
8.3%
S 1
 
8.3%
A 1
 
8.3%
Common
ValueCountFrequency (%)
, 1033
46.2%
1021
45.7%
( 77
 
3.4%
) 77
 
3.4%
. 16
 
0.7%
/ 10
 
0.4%
· 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19343
89.6%
ASCII 2246
 
10.4%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 1508
 
7.8%
한 957
 
4.9%
용 560
 
2.9%
의 498
 
2.6%
업 488
 
2.5%
미 408
 
2.1%
품 399
 
2.1%
기 342
 
1.8%
점 311
 
1.6%
음 293
 
1.5%
Other values (457) 13579
70.2%
ASCII
ValueCountFrequency (%)
, 1033
46.0%
1021
45.5%
( 77
 
3.4%
) 77
 
3.4%
. 16
 
0.7%
/ 10
 
0.4%
P 3
 
0.1%
C 2
 
0.1%
T 2
 
0.1%
E 1
 
< 0.1%
Other values (4) 4
 
0.2%
None
ValueCountFrequency (%)
· 2
100.0%

연락처
Text

MISSING 

Distinct3150
Distinct (%)98.9%
Missing1875
Missing (%)37.1%
Memory size39.7 KiB
2023-12-12T11:52:27.610169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length12.039259
Min length9

Characters and Unicode

Total characters38333
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3119 ?
Unique (%)98.0%

Sample

1st row031-447-7000
2nd row031-476-9167
3rd row031-463-9335
4th row031-463-9200
5th row031-463-9700
ValueCountFrequency (%)
031-441-0405 3
 
0.1%
031-449-4102 3
 
0.1%
031-455-0558 3
 
0.1%
031-422-1172 2
 
0.1%
031-443-6541 2
 
0.1%
031-395-9371 2
 
0.1%
031-455-9004 2
 
0.1%
031-455-9321 2
 
0.1%
031-456-0056 2
 
0.1%
031-388-9494 2
 
0.1%
Other values (3142) 3163
99.3%
2023-12-12T11:52:27.964823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6366
16.6%
3 5601
14.6%
0 5068
13.2%
1 4784
12.5%
4 4419
11.5%
8 2408
 
6.3%
2 2286
 
6.0%
7 1977
 
5.2%
5 1956
 
5.1%
6 1881
 
4.9%
Other values (4) 1587
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31962
83.4%
Dash Punctuation 6366
 
16.6%
Space Separator 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 5601
17.5%
0 5068
15.9%
1 4784
15.0%
4 4419
13.8%
8 2408
7.5%
2 2286
7.2%
7 1977
 
6.2%
5 1956
 
6.1%
6 1881
 
5.9%
9 1582
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 6366
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 38333
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6366
16.6%
3 5601
14.6%
0 5068
13.2%
1 4784
12.5%
4 4419
11.5%
8 2408
 
6.3%
2 2286
 
6.0%
7 1977
 
5.2%
5 1956
 
5.1%
6 1881
 
4.9%
Other values (4) 1587
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38333
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6366
16.6%
3 5601
14.6%
0 5068
13.2%
1 4784
12.5%
4 4419
11.5%
8 2408
 
6.3%
2 2286
 
6.0%
7 1977
 
5.2%
5 1956
 
5.1%
6 1881
 
4.9%
Other values (4) 1587
 
4.1%

주소
Text

Distinct4587
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size39.7 KiB
2023-12-12T11:52:28.261729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length49
Mean length28.344534
Min length18

Characters and Unicode

Total characters143395
Distinct characters390
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

Unique4343 ?
Unique (%)85.8%

Sample

1st row안양시 만안구 안양로 316, B01호(안양동, 본프라자)
2nd row안양시 만안구 장내로149번길 11, 1층(안양동)
3rd row안양시 만안구 만안로 231(안양동)
4th row안양시 만안구 만안로 231(안양동)
5th row안양시 만안구 만안로 231(안양동)
ValueCountFrequency (%)
안양시 5074
 
19.6%
동안구 2873
 
11.1%
만안구 2186
 
8.4%
흥안대로 344
 
1.3%
1층 281
 
1.1%
안양로 256
 
1.0%
경수대로 242
 
0.9%
1층(안양동 227
 
0.9%
관악대로 222
 
0.9%
시민대로 184
 
0.7%
Other values (3882) 14004
54.1%
2023-12-12T11:52:28.790475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21044
 
14.7%
안 13386
 
9.3%
양 8619
 
6.0%
동 8495
 
5.9%
1 7026
 
4.9%
시 5510
 
3.8%
로 5089
 
3.5%
구 5075
 
3.5%
) 5055
 
3.5%
( 5054
 
3.5%
Other values (380) 59042
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80423
56.1%
Decimal Number 26516
 
18.5%
Space Separator 21044
 
14.7%
Close Punctuation 5055
 
3.5%
Open Punctuation 5054
 
3.5%
Other Punctuation 4467
 
3.1%
Dash Punctuation 508
 
0.4%
Uppercase Letter 280
 
0.2%
Lowercase Letter 27
 
< 0.1%
Math Symbol 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 13386
16.6%
양 8619
 
10.7%
동 8495
 
10.6%
시 5510
 
6.9%
로 5089
 
6.3%
구 5075
 
6.3%
호 2931
 
3.6%
만 2375
 
3.0%
번 2255
 
2.8%
길 2200
 
2.7%
Other values (325) 24488
30.4%
Uppercase Letter
ValueCountFrequency (%)
B 72
25.7%
A 53
18.9%
C 50
17.9%
E 20
 
7.1%
I 18
 
6.4%
D 11
 
3.9%
Z 10
 
3.6%
T 5
 
1.8%
S 5
 
1.8%
K 5
 
1.8%
Other values (11) 31
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 9
33.3%
b 3
 
11.1%
w 2
 
7.4%
t 2
 
7.4%
a 2
 
7.4%
o 2
 
7.4%
m 1
 
3.7%
r 1
 
3.7%
s 1
 
3.7%
v 1
 
3.7%
Other values (3) 3
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 7026
26.5%
2 4014
15.1%
3 3539
13.3%
0 2732
 
10.3%
4 2069
 
7.8%
5 1848
 
7.0%
7 1412
 
5.3%
9 1340
 
5.1%
6 1291
 
4.9%
8 1245
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 4412
98.8%
· 46
 
1.0%
. 6
 
0.1%
/ 1
 
< 0.1%
& 1
 
< 0.1%
@ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
21044
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5055
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5054
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 508
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80423
56.1%
Common 62665
43.7%
Latin 307
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 13386
16.6%
양 8619
 
10.7%
동 8495
 
10.6%
시 5510
 
6.9%
로 5089
 
6.3%
구 5075
 
6.3%
호 2931
 
3.6%
만 2375
 
3.0%
번 2255
 
2.8%
길 2200
 
2.7%
Other values (325) 24488
30.4%
Latin
ValueCountFrequency (%)
B 72
23.5%
A 53
17.3%
C 50
16.3%
E 20
 
6.5%
I 18
 
5.9%
D 11
 
3.6%
Z 10
 
3.3%
e 9
 
2.9%
T 5
 
1.6%
S 5
 
1.6%
Other values (24) 54
17.6%
Common
ValueCountFrequency (%)
21044
33.6%
1 7026
 
11.2%
) 5055
 
8.1%
( 5054
 
8.1%
, 4412
 
7.0%
2 4014
 
6.4%
3 3539
 
5.6%
0 2732
 
4.4%
4 2069
 
3.3%
5 1848
 
2.9%
Other values (11) 5872
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80423
56.1%
ASCII 62926
43.9%
None 46
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21044
33.4%
1 7026
 
11.2%
) 5055
 
8.0%
( 5054
 
8.0%
, 4412
 
7.0%
2 4014
 
6.4%
3 3539
 
5.6%
0 2732
 
4.3%
4 2069
 
3.3%
5 1848
 
2.9%
Other values (44) 6133
 
9.7%
Hangul
ValueCountFrequency (%)
안 13386
16.6%
양 8619
 
10.7%
동 8495
 
10.6%
시 5510
 
6.9%
로 5089
 
6.3%
구 5075
 
6.3%
호 2931
 
3.6%
만 2375
 
3.0%
번 2255
 
2.8%
길 2200
 
2.7%
Other values (325) 24488
30.4%
None
ValueCountFrequency (%)
· 46
100.0%

행정동
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size39.7 KiB
관양1동
460 
안양4동
413 
관양2동
360 
안양1동
348 
귀인동
342 
Other values (26)
3136 

Length

Max length4
Median length4
Mean length3.7531133
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안양1동
2nd row안양1동
3rd row안양1동
4th row안양1동
5th row안양1동

Common Values

ValueCountFrequency (%)
관양1동 460
 
9.1%
안양4동 413
 
8.2%
관양2동 360
 
7.1%
안양1동 348
 
6.9%
귀인동 342
 
6.8%
범계동 231
 
4.6%
호계1동 210
 
4.2%
박달1동 206
 
4.1%
부림동 199
 
3.9%
안양3동 185
 
3.7%
Other values (21) 2105
41.6%

Length

2023-12-12T11:52:28.920740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
관양1동 460
 
9.1%
안양4동 413
 
8.2%
관양2동 360
 
7.1%
안양1동 348
 
6.9%
귀인동 342
 
6.8%
범계동 231
 
4.6%
호계1동 210
 
4.2%
박달1동 206
 
4.1%
부림동 199
 
3.9%
안양3동 185
 
3.7%
Other values (21) 2105
41.6%

Interactions

2023-12-12T11:52:23.941862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:52:28.988740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.990
행정동0.9901.000
2023-12-12T11:52:29.081777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.921
행정동0.9211.000

Missing values

2023-12-12T11:52:24.334139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:52:24.479723image/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.
2023-12-12T11:52:24.615902image/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

연번가맹점명업태종목연락처주소행정동
01대동문고도소매, 소매서적, 문구, 교구031-447-7000안양시 만안구 안양로 316, B01호(안양동, 본프라자)안양1동
12꼬꼬바베큐음식기타주점<NA>안양시 만안구 장내로149번길 11, 1층(안양동)안양1동
23입소문소매잡화031-476-9167안양시 만안구 만안로 231(안양동)안양1동
34빅마우스소매의류031-463-9335안양시 만안구 만안로 231(안양동)안양1동
45다리(DARI)1983패션 도소매핸드백, 가방031-463-9200안양시 만안구 만안로 231(안양동)안양1동
56원다리텔레콤도소매휴대폰판매031-463-9700안양시 만안구 만안로 231(안양동)안양1동
67썸모아소매여성의류031-463-9252안양시 만안구 만안로 231(안양동)안양1동
78안양비너스소매의류031-463-9236안양시 만안구 만안로 231(안양동)안양1동
89엘리스의류숙녀복031-463-9050안양시 만안구 만안로 231(안양동)안양1동
910제임스딘소매내의류031-463-9234안양시 만안구 만안로 231(안양동)안양1동
연번가맹점명업태종목연락처주소행정동
50495050평촌선물코너소매잡화031-429-8843안양시 동안구 흥안대로223번길 19, 상가동 지하 1층 18호(호계동)갈산동
50505051주식회사 주영테크놀로지제조업,도소매,서비스업 등전기차,전기자전거, 음식점매장관리업 등031-427-5832안양시 동안구 갈산로72번길 19(호계동)갈산동
50515052한우리독서논술교습로서비스과외교습<NA>안양시 동안구 흥안대로249번길 38, 202호(호계동, 샘마을아파트상가동)갈산동
50525053고흥장어미가음식점업한식<NA>안양시 동안구 갈산로44번길 73,1층(호계동)갈산동
50535054엘림카페차(커피외)031-427-4288안양시 동안구 갈산로 67-23, 1층 101호(호계동)갈산동
50545055하스트커피휴게음식점커피 전문점031-427-0112안양시 동안구 갈산로44번길 34, 1층(호계동)갈산동
50555056예솔피아노학원서비스예능계열031-454-0412안양시 동안구 갈산로 35, 3층일부(호계동)갈산동
50565057오마뎅 안양호계점음식점업분식<NA>안양시 동안구 갈산로 41, 1층 좌측(호계동)갈산동
50575058얌얌분식음식점업분식<NA>안양시 동안구 경수대로610번길 66, 102호(호계동)갈산동
50585059경희대 상승 태권도장교육서비스업태권도줄넘기<NA>안양시 동안구 경수대로570번길 63, 301호,302호(호계동)갈산동