Overview

Dataset statistics

Number of variables9
Number of observations2585
Missing cells1228
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory184.4 KiB
Average record size in memory73.0 B

Variable types

Numeric1
Categorical3
Text4
DateTime1

Dataset

Description인천광역시 계양구 관내 일반음식점 현황에 대한 데이터로 연번, 업종명, 업태명, 업소명, 소재지, 영업시작일, 전화번호 등을 제공합니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/3077753/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일 has constant value ""Constant
소재지전화 has 1227 (47.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:35:19.614196
Analysis finished2024-03-14 10:35:22.283535
Duration2.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct2585
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1293
Minimum1
Maximum2585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-03-14T19:35:22.510006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile130.2
Q1647
median1293
Q31939
95-th percentile2455.8
Maximum2585
Range2584
Interquartile range (IQR)1292

Descriptive statistics

Standard deviation746.36955
Coefficient of variation (CV)0.57723863
Kurtosis-1.2
Mean1293
Median Absolute Deviation (MAD)646
Skewness0
Sum3342405
Variance557067.5
MonotonicityStrictly increasing
2024-03-14T19:35:22.957508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1698 1
 
< 0.1%
1720 1
 
< 0.1%
1721 1
 
< 0.1%
1722 1
 
< 0.1%
1723 1
 
< 0.1%
1724 1
 
< 0.1%
1725 1
 
< 0.1%
1726 1
 
< 0.1%
1727 1
 
< 0.1%
Other values (2575) 2575
99.6%
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 (%)
2585 1
< 0.1%
2584 1
< 0.1%
2583 1
< 0.1%
2582 1
< 0.1%
2581 1
< 0.1%
2580 1
< 0.1%
2579 1
< 0.1%
2578 1
< 0.1%
2577 1
< 0.1%
2576 1
< 0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
일반음식점
2585 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 2585
100.0%

Length

2024-03-14T19:35:23.373141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:35:23.669905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 2585
100.0%

업소명
Text

Distinct2490
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2024-03-14T19:35:24.435641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length6.4522244
Min length1

Characters and Unicode

Total characters16679
Distinct characters811
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2417 ?
Unique (%)93.5%

Sample

1st row명태어장
2nd row무한낙지
3rd row디엠(DM)푸드
4th row왕가
5th row강화포구
ValueCountFrequency (%)
계산점 17
 
0.6%
계양점 16
 
0.6%
작전점 12
 
0.4%
계양구청점 11
 
0.4%
효성점 10
 
0.3%
경인교대점 8
 
0.3%
임학점 7
 
0.2%
인천계양점 6
 
0.2%
김밥천국 6
 
0.2%
옛날통닭 5
 
0.2%
Other values (2632) 2796
96.6%
2024-03-14T19:35:25.458112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 531
 
3.2%
계 362
 
2.2%
309
 
1.9%
이 286
 
1.7%
양 278
 
1.7%
리 229
 
1.4%
치 201
 
1.2%
산 190
 
1.1%
( 190
 
1.1%
) 190
 
1.1%
Other values (801) 13913
83.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15188
91.1%
Space Separator 309
 
1.9%
Decimal Number 255
 
1.5%
Uppercase Letter 251
 
1.5%
Lowercase Letter 206
 
1.2%
Open Punctuation 190
 
1.1%
Close Punctuation 190
 
1.1%
Other Punctuation 86
 
0.5%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 531
 
3.5%
계 362
 
2.4%
이 286
 
1.9%
양 278
 
1.8%
리 229
 
1.5%
치 201
 
1.3%
산 190
 
1.3%
식 183
 
1.2%
장 179
 
1.2%
대 176
 
1.2%
Other values (728) 12573
82.8%
Uppercase Letter
ValueCountFrequency (%)
C 31
 
12.4%
B 30
 
12.0%
A 17
 
6.8%
H 15
 
6.0%
E 15
 
6.0%
M 13
 
5.2%
F 12
 
4.8%
O 12
 
4.8%
L 11
 
4.4%
D 10
 
4.0%
Other values (16) 85
33.9%
Lowercase Letter
ValueCountFrequency (%)
e 30
14.6%
a 25
12.1%
o 15
 
7.3%
f 14
 
6.8%
s 14
 
6.8%
r 13
 
6.3%
t 11
 
5.3%
l 11
 
5.3%
c 11
 
5.3%
u 11
 
5.3%
Other values (13) 51
24.8%
Decimal Number
ValueCountFrequency (%)
0 50
19.6%
1 44
17.3%
9 33
12.9%
2 32
12.5%
8 20
 
7.8%
5 19
 
7.5%
4 17
 
6.7%
7 15
 
5.9%
6 13
 
5.1%
3 12
 
4.7%
Other Punctuation
ValueCountFrequency (%)
& 38
44.2%
. 21
24.4%
, 14
 
16.3%
' 5
 
5.8%
· 3
 
3.5%
: 1
 
1.2%
# 1
 
1.2%
@ 1
 
1.2%
! 1
 
1.2%
? 1
 
1.2%
Space Separator
ValueCountFrequency (%)
309
100.0%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15172
91.0%
Common 1034
 
6.2%
Latin 457
 
2.7%
Han 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 531
 
3.5%
계 362
 
2.4%
이 286
 
1.9%
양 278
 
1.8%
리 229
 
1.5%
치 201
 
1.3%
산 190
 
1.3%
식 183
 
1.2%
장 179
 
1.2%
대 176
 
1.2%
Other values (714) 12557
82.8%
Latin
ValueCountFrequency (%)
C 31
 
6.8%
B 30
 
6.6%
e 30
 
6.6%
a 25
 
5.5%
A 17
 
3.7%
H 15
 
3.3%
E 15
 
3.3%
o 15
 
3.3%
f 14
 
3.1%
s 14
 
3.1%
Other values (39) 251
54.9%
Common
ValueCountFrequency (%)
309
29.9%
( 190
18.4%
) 190
18.4%
0 50
 
4.8%
1 44
 
4.3%
& 38
 
3.7%
9 33
 
3.2%
2 32
 
3.1%
. 21
 
2.0%
8 20
 
1.9%
Other values (14) 107
 
10.3%
Han
ValueCountFrequency (%)
家 3
18.8%
運 1
 
6.2%
紅 1
 
6.2%
食 1
 
6.2%
閣 1
 
6.2%
酒 1
 
6.2%
然 1
 
6.2%
松 1
 
6.2%
海 1
 
6.2%
大 1
 
6.2%
Other values (4) 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15168
90.9%
ASCII 1488
 
8.9%
CJK 16
 
0.1%
Compat Jamo 4
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 531
 
3.5%
계 362
 
2.4%
이 286
 
1.9%
양 278
 
1.8%
리 229
 
1.5%
치 201
 
1.3%
산 190
 
1.3%
식 183
 
1.2%
장 179
 
1.2%
대 176
 
1.2%
Other values (712) 12553
82.8%
ASCII
ValueCountFrequency (%)
309
20.8%
( 190
 
12.8%
) 190
 
12.8%
0 50
 
3.4%
1 44
 
3.0%
& 38
 
2.6%
9 33
 
2.2%
2 32
 
2.2%
C 31
 
2.1%
B 30
 
2.0%
Other values (62) 541
36.4%
CJK
ValueCountFrequency (%)
家 3
18.8%
運 1
 
6.2%
紅 1
 
6.2%
食 1
 
6.2%
閣 1
 
6.2%
酒 1
 
6.2%
然 1
 
6.2%
松 1
 
6.2%
海 1
 
6.2%
大 1
 
6.2%
Other values (4) 4
25.0%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅂ 2
50.0%
ㅁ 2
50.0%

업태명
Categorical

Distinct22
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
한식
942 
기타
391 
호프/통닭
342 
식육(숯불구이)
215 
분식
165 
Other values (17)
530 

Length

Max length15
Median length2
Mean length3.4537718
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한식
2nd row한식
3rd row호프/통닭
4th row기타
5th row한식

Common Values

ValueCountFrequency (%)
한식 942
36.4%
기타 391
15.1%
호프/통닭 342
 
13.2%
식육(숯불구이) 215
 
8.3%
분식 165
 
6.4%
중국식 111
 
4.3%
정종/대포집/소주방 89
 
3.4%
일식 69
 
2.7%
통닭(치킨) 63
 
2.4%
경양식 52
 
2.0%
Other values (12) 146
 
5.6%

Length

2024-03-14T19:35:25.903376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 942
36.4%
기타 391
15.1%
호프/통닭 342
 
13.2%
식육(숯불구이 215
 
8.3%
분식 165
 
6.4%
중국식 111
 
4.3%
정종/대포집/소주방 89
 
3.4%
일식 69
 
2.7%
통닭(치킨 63
 
2.4%
경양식 52
 
2.0%
Other values (12) 146
 
5.6%

소재지(도로명)
Text

Distinct2439
Distinct (%)94.4%
Missing1
Missing (%)< 0.1%
Memory size20.3 KiB
2024-03-14T19:35:26.995153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length53
Mean length33.986842
Min length21

Characters and Unicode

Total characters87822
Distinct characters337
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2314 ?
Unique (%)89.6%

Sample

1st row인천광역시 계양구 장제로875번길 4 (임학동)
2nd row인천광역시 계양구 봉오대로 685 (작전동,1층)
3rd row인천광역시 계양구 봉오대로691번길 32, B동 2층 (작전동, 민영상가)
4th row인천광역시 계양구 계산로 108 (계산동)
5th row인천광역시 계양구 주부토로543번길 15 (계산동)
ValueCountFrequency (%)
인천광역시 2584
 
14.9%
계양구 2584
 
14.9%
1층 1354
 
7.8%
계산동 753
 
4.4%
일부호 616
 
3.6%
작전동 456
 
2.6%
효성동 262
 
1.5%
2층 196
 
1.1%
효서로 170
 
1.0%
임학동 147
 
0.8%
Other values (1814) 8188
47.3%
2024-03-14T19:35:28.571025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14735
 
16.8%
1 4925
 
5.6%
계 4396
 
5.0%
양 3091
 
3.5%
동 3042
 
3.5%
, 2822
 
3.2%
( 2707
 
3.1%
) 2707
 
3.1%
천 2694
 
3.1%
시 2664
 
3.0%
Other values (327) 44039
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50405
57.4%
Space Separator 14735
 
16.8%
Decimal Number 13947
 
15.9%
Other Punctuation 2861
 
3.3%
Open Punctuation 2707
 
3.1%
Close Punctuation 2707
 
3.1%
Dash Punctuation 290
 
0.3%
Uppercase Letter 147
 
0.2%
Math Symbol 12
 
< 0.1%
Lowercase Letter 8
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 4396
 
8.7%
양 3091
 
6.1%
동 3042
 
6.0%
천 2694
 
5.3%
시 2664
 
5.3%
인 2603
 
5.2%
광 2599
 
5.2%
역 2595
 
5.1%
구 2590
 
5.1%
로 2505
 
5.0%
Other values (281) 21626
42.9%
Uppercase Letter
ValueCountFrequency (%)
B 35
23.8%
A 31
21.1%
D 12
 
8.2%
C 10
 
6.8%
E 8
 
5.4%
S 7
 
4.8%
O 7
 
4.8%
J 6
 
4.1%
W 4
 
2.7%
M 4
 
2.7%
Other values (9) 23
15.6%
Decimal Number
ValueCountFrequency (%)
1 4925
35.3%
2 1649
 
11.8%
0 1454
 
10.4%
5 1069
 
7.7%
3 953
 
6.8%
4 940
 
6.7%
7 853
 
6.1%
9 736
 
5.3%
6 704
 
5.0%
8 664
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 2822
98.6%
. 26
 
0.9%
@ 7
 
0.2%
/ 3
 
0.1%
& 2
 
0.1%
: 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 11
91.7%
∼ 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
87.5%
c 1
 
12.5%
Other Symbol
ValueCountFrequency (%)
㈜ 1
50.0%
㎡ 1
50.0%
Space Separator
ValueCountFrequency (%)
14735
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2707
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2707
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 290
100.0%
Other Number
ValueCountFrequency (%)
⅔ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50406
57.4%
Common 37261
42.4%
Latin 155
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 4396
 
8.7%
양 3091
 
6.1%
동 3042
 
6.0%
천 2694
 
5.3%
시 2664
 
5.3%
인 2603
 
5.2%
광 2599
 
5.2%
역 2595
 
5.1%
구 2590
 
5.1%
로 2505
 
5.0%
Other values (282) 21627
42.9%
Common
ValueCountFrequency (%)
14735
39.5%
1 4925
 
13.2%
, 2822
 
7.6%
( 2707
 
7.3%
) 2707
 
7.3%
2 1649
 
4.4%
0 1454
 
3.9%
5 1069
 
2.9%
3 953
 
2.6%
4 940
 
2.5%
Other values (14) 3300
 
8.9%
Latin
ValueCountFrequency (%)
B 35
22.6%
A 31
20.0%
D 12
 
7.7%
C 10
 
6.5%
E 8
 
5.2%
S 7
 
4.5%
O 7
 
4.5%
e 7
 
4.5%
J 6
 
3.9%
W 4
 
2.6%
Other values (11) 28
18.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50403
57.4%
ASCII 37413
42.6%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%
Number Forms 1
 
< 0.1%
CJK Compat 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14735
39.4%
1 4925
 
13.2%
, 2822
 
7.5%
( 2707
 
7.2%
) 2707
 
7.2%
2 1649
 
4.4%
0 1454
 
3.9%
5 1069
 
2.9%
3 953
 
2.5%
4 940
 
2.5%
Other values (32) 3452
 
9.2%
Hangul
ValueCountFrequency (%)
계 4396
 
8.7%
양 3091
 
6.1%
동 3042
 
6.0%
천 2694
 
5.3%
시 2664
 
5.3%
인 2603
 
5.2%
광 2599
 
5.2%
역 2595
 
5.1%
구 2590
 
5.1%
로 2505
 
5.0%
Other values (279) 21624
42.9%
Compat Jamo
ValueCountFrequency (%)
ㅁ 1
50.0%
ㅂ 1
50.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Number Forms
ValueCountFrequency (%)
⅔ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

소재지(지번)
Text

Distinct2320
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2024-03-14T19:35:29.721584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length49
Mean length25.536944
Min length16

Characters and Unicode

Total characters66013
Distinct characters323
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2118 ?
Unique (%)81.9%

Sample

1st row인천광역시 계양구 임학동 10-18
2nd row인천광역시 계양구 작전동 862-25 1층
3rd row인천광역시 계양구 작전동 860-2
4th row인천광역시 계양구 계산동 988-53
5th row인천광역시 계양구 계산동 952-19
ValueCountFrequency (%)
인천광역시 2585
19.3%
계양구 2585
19.3%
계산동 981
 
7.3%
1층 577
 
4.3%
작전동 576
 
4.3%
효성동 316
 
2.4%
임학동 181
 
1.4%
용종동 159
 
1.2%
1층일부호 134
 
1.0%
일부 133
 
1.0%
Other values (2119) 5138
38.4%
2024-03-14T19:35:31.232827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12752
19.3%
계 3647
 
5.5%
1 3627
 
5.5%
동 2811
 
4.3%
양 2685
 
4.1%
인 2603
 
3.9%
천 2600
 
3.9%
광 2598
 
3.9%
역 2592
 
3.9%
시 2590
 
3.9%
Other values (313) 27508
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36124
54.7%
Decimal Number 14269
 
21.6%
Space Separator 12752
 
19.3%
Dash Punctuation 2315
 
3.5%
Other Punctuation 177
 
0.3%
Open Punctuation 119
 
0.2%
Close Punctuation 119
 
0.2%
Uppercase Letter 119
 
0.2%
Math Symbol 9
 
< 0.1%
Lowercase Letter 7
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 3647
 
10.1%
동 2811
 
7.8%
양 2685
 
7.4%
인 2603
 
7.2%
천 2600
 
7.2%
광 2598
 
7.2%
역 2592
 
7.2%
시 2590
 
7.2%
구 2590
 
7.2%
산 1063
 
2.9%
Other values (267) 10345
28.6%
Uppercase Letter
ValueCountFrequency (%)
B 29
24.4%
A 18
15.1%
D 10
 
8.4%
S 7
 
5.9%
O 7
 
5.9%
E 7
 
5.9%
J 6
 
5.0%
M 4
 
3.4%
W 4
 
3.4%
C 4
 
3.4%
Other values (9) 23
19.3%
Decimal Number
ValueCountFrequency (%)
1 3627
25.4%
2 1790
12.5%
0 1532
10.7%
9 1247
 
8.7%
6 1236
 
8.7%
3 1137
 
8.0%
8 1074
 
7.5%
4 1026
 
7.2%
5 888
 
6.2%
7 712
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 149
84.2%
. 16
 
9.0%
@ 7
 
4.0%
& 2
 
1.1%
/ 2
 
1.1%
: 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
~ 8
88.9%
∼ 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
85.7%
c 1
 
14.3%
Other Symbol
ValueCountFrequency (%)
㈜ 1
50.0%
㎡ 1
50.0%
Space Separator
ValueCountFrequency (%)
12752
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2315
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Other Number
ValueCountFrequency (%)
⅔ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36125
54.7%
Common 29762
45.1%
Latin 126
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 3647
 
10.1%
동 2811
 
7.8%
양 2685
 
7.4%
인 2603
 
7.2%
천 2600
 
7.2%
광 2598
 
7.2%
역 2592
 
7.2%
시 2590
 
7.2%
구 2590
 
7.2%
산 1063
 
2.9%
Other values (268) 10346
28.6%
Common
ValueCountFrequency (%)
12752
42.8%
1 3627
 
12.2%
- 2315
 
7.8%
2 1790
 
6.0%
0 1532
 
5.1%
9 1247
 
4.2%
6 1236
 
4.2%
3 1137
 
3.8%
8 1074
 
3.6%
4 1026
 
3.4%
Other values (14) 2026
 
6.8%
Latin
ValueCountFrequency (%)
B 29
23.0%
A 18
14.3%
D 10
 
7.9%
S 7
 
5.6%
O 7
 
5.6%
E 7
 
5.6%
J 6
 
4.8%
e 6
 
4.8%
M 4
 
3.2%
W 4
 
3.2%
Other values (11) 28
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36122
54.7%
ASCII 29885
45.3%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%
Math Operators 1
 
< 0.1%
Number Forms 1
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12752
42.7%
1 3627
 
12.1%
- 2315
 
7.7%
2 1790
 
6.0%
0 1532
 
5.1%
9 1247
 
4.2%
6 1236
 
4.1%
3 1137
 
3.8%
8 1074
 
3.6%
4 1026
 
3.4%
Other values (32) 2149
 
7.2%
Hangul
ValueCountFrequency (%)
계 3647
 
10.1%
동 2811
 
7.8%
양 2685
 
7.4%
인 2603
 
7.2%
천 2600
 
7.2%
광 2598
 
7.2%
역 2592
 
7.2%
시 2590
 
7.2%
구 2590
 
7.2%
산 1063
 
2.9%
Other values (265) 10343
28.6%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
50.0%
ㅁ 1
50.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Number Forms
ValueCountFrequency (%)
⅔ 1
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

영업자시작일
Date

Distinct1708
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
Minimum1990-10-27 00:00:00
Maximum2024-02-20 00:00:00
2024-03-14T19:35:31.648029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:35:32.073225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지전화
Text

MISSING 

Distinct1347
Distinct (%)99.2%
Missing1227
Missing (%)47.5%
Memory size20.3 KiB
2024-03-14T19:35:33.179736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.012518
Min length11

Characters and Unicode

Total characters16313
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1338 ?
Unique (%)98.5%

Sample

1st row032-551-9293
2nd row032-544-8555
3rd row032-549-1587
4th row032-542-4557
5th row032-548-9292
ValueCountFrequency (%)
032-556-0880 3
 
0.2%
032-554-3392 3
 
0.2%
032-542-8965 2
 
0.1%
032-553-0805 2
 
0.1%
032-509-3400 2
 
0.1%
032-554-0042 2
 
0.1%
032-543-7729 2
 
0.1%
032-551-5151 2
 
0.1%
032-546-5600 2
 
0.1%
032-271-0333 1
 
0.1%
Other values (1338) 1338
98.5%
2024-03-14T19:35:34.546592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2716
16.6%
5 2658
16.3%
2 2178
13.4%
0 2067
12.7%
3 2052
12.6%
4 1287
7.9%
1 737
 
4.5%
8 733
 
4.5%
9 664
 
4.1%
7 615
 
3.8%
Other values (2) 606
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13596
83.3%
Dash Punctuation 2716
 
16.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2658
19.5%
2 2178
16.0%
0 2067
15.2%
3 2052
15.1%
4 1287
9.5%
1 737
 
5.4%
8 733
 
5.4%
9 664
 
4.9%
7 615
 
4.5%
6 605
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 2716
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2716
16.6%
5 2658
16.3%
2 2178
13.4%
0 2067
12.7%
3 2052
12.6%
4 1287
7.9%
1 737
 
4.5%
8 733
 
4.5%
9 664
 
4.1%
7 615
 
3.8%
Other values (2) 606
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2716
16.6%
5 2658
16.3%
2 2178
13.4%
0 2067
12.7%
3 2052
12.6%
4 1287
7.9%
1 737
 
4.5%
8 733
 
4.5%
9 664
 
4.1%
7 615
 
3.8%
Other values (2) 606
 
3.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2024-03-07
2585 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-07
2nd row2024-03-07
3rd row2024-03-07
4th row2024-03-07
5th row2024-03-07

Common Values

ValueCountFrequency (%)
2024-03-07 2585
100.0%

Length

2024-03-14T19:35:34.955772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:35:35.248770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-07 2585
100.0%

Interactions

2024-03-14T19:35:20.969005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:35:35.416966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명
연번1.0000.203
업태명0.2031.000
2024-03-14T19:35:35.640418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명
연번1.0000.076
업태명0.0761.000

Missing values

2024-03-14T19:35:21.321642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:35:21.807549image/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.
2024-03-14T19:35:22.142018image/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

연번업종명업소명업태명소재지(도로명)소재지(지번)영업자시작일소재지전화데이터기준일
01일반음식점명태어장한식인천광역시 계양구 장제로875번길 4 (임학동)인천광역시 계양구 임학동 10-182005-02-16032-551-92932024-03-07
12일반음식점무한낙지한식인천광역시 계양구 봉오대로 685 (작전동,1층)인천광역시 계양구 작전동 862-25 1층2013-06-27032-544-85552024-03-07
23일반음식점디엠(DM)푸드호프/통닭인천광역시 계양구 봉오대로691번길 32, B동 2층 (작전동, 민영상가)인천광역시 계양구 작전동 860-22013-07-02<NA>2024-03-07
34일반음식점왕가기타인천광역시 계양구 계산로 108 (계산동)인천광역시 계양구 계산동 988-531997-07-29<NA>2024-03-07
45일반음식점강화포구한식인천광역시 계양구 주부토로543번길 15 (계산동)인천광역시 계양구 계산동 952-192005-08-19032-549-15872024-03-07
56일반음식점유진갈비식육(숯불구이)인천광역시 계양구 임학서로6번길 1 (임학동)인천광역시 계양구 임학동 46-552013-05-13032-542-45572024-03-07
67일반음식점섬진강식당기타인천광역시 계양구 계산로 83-1 (계산동)인천광역시 계양구 계산동 970-352007-12-17<NA>2024-03-07
78일반음식점페리카나기타인천광역시 계양구 안남로573번길 3 (효성동,,4)인천광역시 계양구 효성동 31-1 ,41996-12-24032-548-92922024-03-07
89일반음식점북경중국식인천광역시 계양구 작전시장로 21 (작전동,1층)인천광역시 계양구 작전동 856-121 1층1994-07-21032-524-74612024-03-07
910일반음식점페리카나치킨(작전1분점)통닭(치킨)인천광역시 계양구 주부토로 468 (작전동)인천광역시 계양구 작전동 34-52014-01-22032-528-06642024-03-07
연번업종명업소명업태명소재지(도로명)소재지(지번)영업자시작일소재지전화데이터기준일
25752576일반음식점스텔라떡볶이인천작전점한식인천광역시 계양구 효서로 300, 삼호프라자 1층 105호 (작전동)인천광역시 계양구 작전동 381-1 삼호프라자2023-07-14<NA>2024-03-07
25762577일반음식점58갈비식육(숯불구이)인천광역시 계양구 효서로 299, 1층 일부호 (작전동)인천광역시 계양구 작전동 871-782023-07-19<NA>2024-03-07
25772578일반음식점마라탕 향래원 탕후루중국식인천광역시 계양구 안남로573번길 5, 1층 일부호 (효성동)인천광역시 계양구 효성동 33-262023-08-03<NA>2024-03-07
25782579일반음식점명태고향한식인천광역시 계양구 양지로 36, 2층 (동양동)인천광역시 계양구 동양동 605-32023-09-06<NA>2024-03-07
25792580일반음식점청년상회한식인천광역시 계양구 계산시장길 20, 1층 일부호 (계산동)인천광역시 계양구 계산동 959-8 1층 일부호2023-12-11<NA>2024-03-07
25802581일반음식점오디와이(ODIY)한식인천광역시 계양구 선주로34번길 6-1, 1층 (선주지동)인천광역시 계양구 선주지동 125-1 1층2023-12-12<NA>2024-03-07
25812582일반음식점유메소바일식인천광역시 계양구 경명대로941번길 8, 1, 2층 (계산동)인천광역시 계양구 계산동 산 46-402024-01-29<NA>2024-03-07
25822583일반음식점하루정종/대포집/소주방인천광역시 계양구 까치말로 12, 1층 일부호 (작전동)인천광역시 계양구 작전동 6872024-02-01<NA>2024-03-07
25832584일반음식점카르마(karma)기타인천광역시 계양구 계양산로134번길 33, 1층 일부호 (계산동)인천광역시 계양구 계산동 911-112024-02-06<NA>2024-03-07
25842585일반음식점커피와 토스트분식인천광역시 계양구 계양산로 175, 1층 일부호 (임학동)인천광역시 계양구 임학동 4-22024-02-19<NA>2024-03-07