Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells3302
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory859.4 KiB
Average record size in memory88.0 B

Variable types

Categorical3
Text5
DateTime2

Dataset

Description성남시 내 음식점(일반음식점 및 휴게음식점) 현황 데이터로, 구, 업종명, 사업장명, 영업상태, 인허가일자, 폐업일자, 소재지면적, 주소 항목으로 구성되어 있습니다
Author경기도 성남시
URLhttps://www.data.go.kr/data/15076265/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
폐업일자 has 2442 (24.4%) missing valuesMissing
소재지(도로명) has 860 (8.6%) missing valuesMissing

Reproduction

Analysis started2024-04-21 01:43:18.829099
Analysis finished2024-04-21 01:43:21.793765
Duration2.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
분당구
4943 
수정구
2609 
중원구
2448 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row분당구
2nd row분당구
3rd row분당구
4th row수정구
5th row분당구

Common Values

ValueCountFrequency (%)
분당구 4943
49.4%
수정구 2609
26.1%
중원구 2448
24.5%

Length

2024-04-21T10:43:21.851698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:43:21.941279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 4943
49.4%
수정구 2609
26.1%
중원구 2448
24.5%

업종명
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
7548 
휴게음식점
2452 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 7548
75.5%
휴게음식점 2452
 
24.5%

Length

2024-04-21T10:43:22.200282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:43:22.277436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 7548
75.5%
휴게음식점 2452
 
24.5%

사업장명
Text

Distinct9292
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:43:22.492972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length6.6107
Min length1

Characters and Unicode

Total characters66107
Distinct characters1116
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8797 ?
Unique (%)88.0%

Sample

1st row벤키(이탈리)-한시적
2nd row수내골
3rd row하마네
4th row카페 소셜드림
5th row로뎀커피
ValueCountFrequency (%)
판교점 56
 
0.4%
야탑점 51
 
0.4%
세븐일레븐 51
 
0.4%
위례점 49
 
0.4%
서현점 48
 
0.4%
분당점 46
 
0.4%
카페 43
 
0.3%
씨유 41
 
0.3%
성남점 39
 
0.3%
분당정자점 31
 
0.2%
Other values (9990) 12401
96.5%
2024-04-21T10:43:22.864824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2865
 
4.3%
점 1933
 
2.9%
이 1380
 
2.1%
스 1294
 
2.0%
리 1086
 
1.6%
) 977
 
1.5%
( 976
 
1.5%
당 849
 
1.3%
식 728
 
1.1%
마 635
 
1.0%
Other values (1106) 53384
80.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56136
84.9%
Space Separator 2865
 
4.3%
Lowercase Letter 1993
 
3.0%
Uppercase Letter 1843
 
2.8%
Close Punctuation 977
 
1.5%
Open Punctuation 976
 
1.5%
Decimal Number 904
 
1.4%
Other Punctuation 236
 
0.4%
Dash Punctuation 166
 
0.3%
Connector Punctuation 3
 
< 0.1%
Other values (5) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1933
 
3.4%
이 1380
 
2.5%
스 1294
 
2.3%
리 1086
 
1.9%
당 849
 
1.5%
식 728
 
1.3%
마 635
 
1.1%
분 606
 
1.1%
피 591
 
1.1%
아 525
 
0.9%
Other values (1024) 46509
82.9%
Lowercase Letter
ValueCountFrequency (%)
e 311
15.6%
a 209
 
10.5%
o 159
 
8.0%
i 132
 
6.6%
n 123
 
6.2%
r 118
 
5.9%
l 103
 
5.2%
f 98
 
4.9%
s 95
 
4.8%
c 94
 
4.7%
Other values (16) 551
27.6%
Uppercase Letter
ValueCountFrequency (%)
C 187
 
10.1%
E 146
 
7.9%
A 131
 
7.1%
S 125
 
6.8%
O 112
 
6.1%
G 111
 
6.0%
B 99
 
5.4%
T 90
 
4.9%
L 89
 
4.8%
N 77
 
4.2%
Other values (16) 676
36.7%
Decimal Number
ValueCountFrequency (%)
2 258
28.5%
1 144
15.9%
5 142
15.7%
0 79
 
8.7%
4 61
 
6.7%
9 59
 
6.5%
3 51
 
5.6%
8 46
 
5.1%
6 38
 
4.2%
7 26
 
2.9%
Other Punctuation
ValueCountFrequency (%)
& 87
36.9%
. 82
34.7%
' 28
 
11.9%
? 10
 
4.2%
! 9
 
3.8%
· 8
 
3.4%
: 4
 
1.7%
, 4
 
1.7%
# 3
 
1.3%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2865
100.0%
Close Punctuation
ValueCountFrequency (%)
) 977
100.0%
Open Punctuation
ValueCountFrequency (%)
( 976
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56093
84.9%
Common 6134
 
9.3%
Latin 3837
 
5.8%
Han 43
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1933
 
3.4%
이 1380
 
2.5%
스 1294
 
2.3%
리 1086
 
1.9%
당 849
 
1.5%
식 728
 
1.3%
마 635
 
1.1%
분 606
 
1.1%
피 591
 
1.1%
아 525
 
0.9%
Other values (990) 46466
82.8%
Latin
ValueCountFrequency (%)
e 311
 
8.1%
a 209
 
5.4%
C 187
 
4.9%
o 159
 
4.1%
E 146
 
3.8%
i 132
 
3.4%
A 131
 
3.4%
S 125
 
3.3%
n 123
 
3.2%
r 118
 
3.1%
Other values (43) 2196
57.2%
Han
ValueCountFrequency (%)
好 4
 
9.3%
火 3
 
7.0%
天 2
 
4.7%
辛 2
 
4.7%
秀 2
 
4.7%
味 2
 
4.7%
朱 1
 
2.3%
米 1
 
2.3%
酒 1
 
2.3%
安 1
 
2.3%
Other values (24) 24
55.8%
Common
ValueCountFrequency (%)
2865
46.7%
) 977
 
15.9%
( 976
 
15.9%
2 258
 
4.2%
- 166
 
2.7%
1 144
 
2.3%
5 142
 
2.3%
& 87
 
1.4%
. 82
 
1.3%
0 79
 
1.3%
Other values (19) 358
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56092
84.9%
ASCII 9960
 
15.1%
CJK 43
 
0.1%
None 8
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Number Forms 1
 
< 0.1%
Punctuation 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2865
28.8%
) 977
 
9.8%
( 976
 
9.8%
e 311
 
3.1%
2 258
 
2.6%
a 209
 
2.1%
C 187
 
1.9%
- 166
 
1.7%
o 159
 
1.6%
E 146
 
1.5%
Other values (68) 3706
37.2%
Hangul
ValueCountFrequency (%)
점 1933
 
3.4%
이 1380
 
2.5%
스 1294
 
2.3%
리 1086
 
1.9%
당 849
 
1.5%
식 728
 
1.3%
마 635
 
1.1%
분 606
 
1.1%
피 591
 
1.1%
아 525
 
0.9%
Other values (989) 46465
82.8%
None
ValueCountFrequency (%)
· 8
100.0%
CJK
ValueCountFrequency (%)
好 4
 
9.3%
火 3
 
7.0%
天 2
 
4.7%
辛 2
 
4.7%
秀 2
 
4.7%
味 2
 
4.7%
朱 1
 
2.3%
米 1
 
2.3%
酒 1
 
2.3%
安 1
 
2.3%
Other values (24) 24
55.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

영업상태
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업
6668 
운영
1667 
영업중
1665 

Length

Max length3
Median length2
Mean length2.1665
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 6668
66.7%
운영 1667
 
16.7%
영업중 1665
 
16.7%

Length

2024-04-21T10:43:22.994592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:43:23.098791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6668
66.7%
운영 1667
 
16.7%
영업중 1665
 
16.7%

인허가일자
Date

Distinct5595
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1972-01-29 00:00:00
Maximum2024-04-11 00:00:00
2024-04-21T10:43:23.224980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:43:23.355810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

폐업일자
Text

MISSING 

Distinct3681
Distinct (%)48.7%
Missing2442
Missing (%)24.4%
Memory size156.2 KiB
2024-04-21T10:43:23.634295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length8.9401958
Min length1

Characters and Unicode

Total characters67570
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

Unique2065 ?
Unique (%)27.3%

Sample

1st row2022-09-11
2nd row2015-07-17
3rd row2017-05-18
4th row2017-12-20
5th row2011-07-21
ValueCountFrequency (%)
2019-03-26 37
 
0.6%
2002-09-23 34
 
0.5%
2008-12-01 33
 
0.5%
2011-12-12 32
 
0.5%
2019-09-19 22
 
0.3%
2007-01-30 20
 
0.3%
2002-04-12 18
 
0.3%
2012-08-30 18
 
0.3%
2003-09-17 17
 
0.3%
2005-06-03 16
 
0.2%
Other values (3670) 6421
96.3%
2024-04-21T10:43:24.011425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17510
25.9%
- 13336
19.7%
2 13285
19.7%
1 9347
13.8%
3 2564
 
3.8%
7 1813
 
2.7%
9 1806
 
2.7%
8 1778
 
2.6%
5 1778
 
2.6%
4 1737
 
2.6%
Other values (2) 2616
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 53344
78.9%
Dash Punctuation 13336
 
19.7%
Space Separator 890
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17510
32.8%
2 13285
24.9%
1 9347
17.5%
3 2564
 
4.8%
7 1813
 
3.4%
9 1806
 
3.4%
8 1778
 
3.3%
5 1778
 
3.3%
4 1737
 
3.3%
6 1726
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 13336
100.0%
Space Separator
ValueCountFrequency (%)
890
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 67570
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17510
25.9%
- 13336
19.7%
2 13285
19.7%
1 9347
13.8%
3 2564
 
3.8%
7 1813
 
2.7%
9 1806
 
2.7%
8 1778
 
2.6%
5 1778
 
2.6%
4 1737
 
2.6%
Other values (2) 2616
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67570
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17510
25.9%
- 13336
19.7%
2 13285
19.7%
1 9347
13.8%
3 2564
 
3.8%
7 1813
 
2.7%
9 1806
 
2.7%
8 1778
 
2.6%
5 1778
 
2.6%
4 1737
 
2.6%
Other values (2) 2616
 
3.9%

영업장면적(건물내부_건물외부)
Text

Distinct6036
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:43:24.368697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.6107
Min length1

Characters and Unicode

Total characters46107
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4249 ?
Unique (%)42.5%

Sample

1st row0
2nd row70.5
3rd row47.88
4th row56.39
5th row36.48
ValueCountFrequency (%)
0 621
 
6.2%
20.4 13
 
0.1%
36 13
 
0.1%
27.9 12
 
0.1%
16.8 12
 
0.1%
31.5 12
 
0.1%
21.45 11
 
0.1%
18 11
 
0.1%
29.4 11
 
0.1%
23.4 11
 
0.1%
Other values (6026) 9273
92.7%
2024-04-21T10:43:24.823754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 9011
19.5%
1 5051
11.0%
2 5031
10.9%
4 4219
9.2%
3 3978
8.6%
6 3538
 
7.7%
5 3481
 
7.5%
8 3350
 
7.3%
7 2970
 
6.4%
9 2782
 
6.0%
Other values (2) 2696
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37095
80.5%
Other Punctuation 9012
 
19.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5051
13.6%
2 5031
13.6%
4 4219
11.4%
3 3978
10.7%
6 3538
9.5%
5 3481
9.4%
8 3350
9.0%
7 2970
8.0%
9 2782
7.5%
0 2695
7.3%
Other Punctuation
ValueCountFrequency (%)
. 9011
> 99.9%
, 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 46107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 9011
19.5%
1 5051
11.0%
2 5031
10.9%
4 4219
9.2%
3 3978
8.6%
6 3538
 
7.7%
5 3481
 
7.5%
8 3350
 
7.3%
7 2970
 
6.4%
9 2782
 
6.0%
Other values (2) 2696
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 9011
19.5%
1 5051
11.0%
2 5031
10.9%
4 4219
9.2%
3 3978
8.6%
6 3538
 
7.7%
5 3481
 
7.5%
8 3350
 
7.3%
7 2970
 
6.4%
9 2782
 
6.0%
Other values (2) 2696
 
5.8%

소재지(도로명)
Text

MISSING 

Distinct6412
Distinct (%)70.2%
Missing860
Missing (%)8.6%
Memory size156.2 KiB
2024-04-21T10:43:25.089499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length66
Mean length30.389606
Min length1

Characters and Unicode

Total characters277761
Distinct characters504
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

Unique6162 ?
Unique (%)67.4%

Sample

1st row경기도 성남시 분당구 판교역로146번길 20 현대백화점 판교점 9층 일부호 (백현동)
2nd row경기도 성남시 분당구 백현로101번길 17 (수내동 초림프라자 2층 206호)
3rd row경기도 성남시 분당구 판교역로 109 A동 지하2층 B209호 (백현동 판교역 SK HUB)
4th row경기도 성남시 수정구 산성대로 287 3층 일부호 (신흥동)
5th row
ValueCountFrequency (%)
경기도 6920
 
12.0%
성남시 6920
 
12.0%
1층 3662
 
6.3%
분당구 3626
 
6.3%
수정구 1706
 
3.0%
중원구 1588
 
2.7%
일부호 793
 
1.4%
지하1층 714
 
1.2%
2층 658
 
1.1%
정자동 561
 
1.0%
Other values (4482) 30655
53.0%
2024-04-21T10:43:25.523084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58745
21.1%
1 15124
 
5.4%
성 8742
 
3.1%
남 8317
 
3.0%
동 7826
 
2.8%
( 7630
 
2.7%
) 7628
 
2.7%
구 7360
 
2.6%
시 7298
 
2.6%
도 7083
 
2.6%
Other values (494) 142008
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155565
56.0%
Space Separator 58745
 
21.1%
Decimal Number 43592
 
15.7%
Open Punctuation 7631
 
2.7%
Close Punctuation 7629
 
2.7%
Other Punctuation 1835
 
0.7%
Dash Punctuation 1404
 
0.5%
Uppercase Letter 1279
 
0.5%
Lowercase Letter 38
 
< 0.1%
Math Symbol 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 8742
 
5.6%
남 8317
 
5.3%
동 7826
 
5.0%
구 7360
 
4.7%
시 7298
 
4.7%
도 7083
 
4.6%
기 6990
 
4.5%
로 6963
 
4.5%
경 6953
 
4.5%
층 6103
 
3.9%
Other values (428) 81930
52.7%
Uppercase Letter
ValueCountFrequency (%)
B 471
36.8%
A 225
17.6%
K 85
 
6.6%
I 67
 
5.2%
S 63
 
4.9%
C 56
 
4.4%
T 33
 
2.6%
D 31
 
2.4%
W 28
 
2.2%
Y 26
 
2.0%
Other values (15) 194
15.2%
Lowercase Letter
ValueCountFrequency (%)
n 12
31.6%
l 12
31.6%
e 2
 
5.3%
k 2
 
5.3%
t 2
 
5.3%
b 2
 
5.3%
o 1
 
2.6%
w 1
 
2.6%
s 1
 
2.6%
r 1
 
2.6%
Other values (2) 2
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 15124
34.7%
2 6162
14.1%
0 4828
 
11.1%
3 3897
 
8.9%
4 2983
 
6.8%
5 2705
 
6.2%
6 2566
 
5.9%
7 1877
 
4.3%
8 1738
 
4.0%
9 1712
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 1777
96.8%
. 38
 
2.1%
? 13
 
0.7%
/ 3
 
0.2%
: 2
 
0.1%
' 1
 
0.1%
@ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
53.8%
Ⅲ 4
30.8%
Ⅰ 1
 
7.7%
Ⅳ 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 7630
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 7628
> 99.9%
] 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 29
96.7%
∥ 1
 
3.3%
Space Separator
ValueCountFrequency (%)
58745
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1404
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155565
56.0%
Common 120866
43.5%
Latin 1330
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 8742
 
5.6%
남 8317
 
5.3%
동 7826
 
5.0%
구 7360
 
4.7%
시 7298
 
4.7%
도 7083
 
4.6%
기 6990
 
4.5%
로 6963
 
4.5%
경 6953
 
4.5%
층 6103
 
3.9%
Other values (428) 81930
52.7%
Latin
ValueCountFrequency (%)
B 471
35.4%
A 225
16.9%
K 85
 
6.4%
I 67
 
5.0%
S 63
 
4.7%
C 56
 
4.2%
T 33
 
2.5%
D 31
 
2.3%
W 28
 
2.1%
Y 26
 
2.0%
Other values (31) 245
18.4%
Common
ValueCountFrequency (%)
58745
48.6%
1 15124
 
12.5%
( 7630
 
6.3%
) 7628
 
6.3%
2 6162
 
5.1%
0 4828
 
4.0%
3 3897
 
3.2%
4 2983
 
2.5%
5 2705
 
2.2%
6 2566
 
2.1%
Other values (15) 8598
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155565
56.0%
ASCII 122182
44.0%
Number Forms 13
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58745
48.1%
1 15124
 
12.4%
( 7630
 
6.2%
) 7628
 
6.2%
2 6162
 
5.0%
0 4828
 
4.0%
3 3897
 
3.2%
4 2983
 
2.4%
5 2705
 
2.2%
6 2566
 
2.1%
Other values (51) 9914
 
8.1%
Hangul
ValueCountFrequency (%)
성 8742
 
5.6%
남 8317
 
5.3%
동 7826
 
5.0%
구 7360
 
4.7%
시 7298
 
4.7%
도 7083
 
4.6%
기 6990
 
4.5%
로 6963
 
4.5%
경 6953
 
4.5%
층 6103
 
3.9%
Other values (428) 81930
52.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
53.8%
Ⅲ 4
30.8%
Ⅰ 1
 
7.7%
Ⅳ 1
 
7.7%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

소재지(지번)
Text

Distinct9214
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:43:25.817681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length59
Mean length30.9223
Min length18

Characters and Unicode

Total characters309223
Distinct characters513
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8736 ?
Unique (%)87.4%

Sample

1st row경기도 성남시 분당구 백현동 541 현대백화점 판교점 9층 일부호
2nd row경기도 성남시 분당구 수내동 20-2 초림프라자 2층 206호
3rd row경기도 성남시 분당구 백현동 529 판교역 SK HUB A동 지하2층 B209호
4th row경기도 성남시 수정구 신흥동 2491-1 3층 일부
5th row경기도 성남시 분당구 운중동 918 산운마을상가동 2층 204호
ValueCountFrequency (%)
경기도 10000
 
14.3%
성남시 10000
 
14.3%
분당구 4943
 
7.1%
1층 4533
 
6.5%
수정구 2610
 
3.7%
중원구 2447
 
3.5%
일부 1121
 
1.6%
2층 853
 
1.2%
서현동 804
 
1.1%
정자동 780
 
1.1%
Other values (7401) 31879
45.6%
2024-04-21T10:43:26.254619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70208
22.7%
1 17859
 
5.8%
성 11120
 
3.6%
동 10940
 
3.5%
남 10829
 
3.5%
구 10563
 
3.4%
시 10286
 
3.3%
도 10148
 
3.3%
경 10038
 
3.2%
기 10015
 
3.2%
Other values (503) 137217
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169660
54.9%
Space Separator 70208
22.7%
Decimal Number 59548
 
19.3%
Dash Punctuation 5085
 
1.6%
Close Punctuation 1458
 
0.5%
Open Punctuation 1457
 
0.5%
Uppercase Letter 1403
 
0.5%
Other Punctuation 301
 
0.1%
Lowercase Letter 43
 
< 0.1%
Math Symbol 41
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 11120
 
6.6%
동 10940
 
6.4%
남 10829
 
6.4%
구 10563
 
6.2%
시 10286
 
6.1%
도 10148
 
6.0%
경 10038
 
5.9%
기 10015
 
5.9%
층 7660
 
4.5%
분 5379
 
3.2%
Other values (436) 72682
42.8%
Uppercase Letter
ValueCountFrequency (%)
B 493
35.1%
A 260
18.5%
K 93
 
6.6%
I 81
 
5.8%
S 72
 
5.1%
C 64
 
4.6%
T 34
 
2.4%
D 32
 
2.3%
L 31
 
2.2%
W 27
 
1.9%
Other values (15) 216
15.4%
Lowercase Letter
ValueCountFrequency (%)
l 15
34.9%
n 12
27.9%
b 3
 
7.0%
e 2
 
4.7%
k 2
 
4.7%
t 2
 
4.7%
r 1
 
2.3%
w 1
 
2.3%
o 1
 
2.3%
a 1
 
2.3%
Other values (3) 3
 
7.0%
Decimal Number
ValueCountFrequency (%)
1 17859
30.0%
2 8152
13.7%
3 5922
 
9.9%
0 5549
 
9.3%
5 4892
 
8.2%
4 4640
 
7.8%
6 4053
 
6.8%
7 2990
 
5.0%
9 2818
 
4.7%
8 2673
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 192
63.8%
. 75
 
24.9%
? 25
 
8.3%
/ 4
 
1.3%
@ 2
 
0.7%
: 2
 
0.7%
' 1
 
0.3%
Letter Number
ValueCountFrequency (%)
Ⅲ 9
47.4%
Ⅱ 7
36.8%
Ⅰ 2
 
10.5%
Ⅳ 1
 
5.3%
Close Punctuation
ValueCountFrequency (%)
) 1457
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1455
99.9%
[ 2
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 40
97.6%
∥ 1
 
2.4%
Space Separator
ValueCountFrequency (%)
70208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5085
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169660
54.9%
Common 138098
44.7%
Latin 1465
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 11120
 
6.6%
동 10940
 
6.4%
남 10829
 
6.4%
구 10563
 
6.2%
시 10286
 
6.1%
도 10148
 
6.0%
경 10038
 
5.9%
기 10015
 
5.9%
층 7660
 
4.5%
분 5379
 
3.2%
Other values (436) 72682
42.8%
Latin
ValueCountFrequency (%)
B 493
33.7%
A 260
17.7%
K 93
 
6.3%
I 81
 
5.5%
S 72
 
4.9%
C 64
 
4.4%
T 34
 
2.3%
D 32
 
2.2%
L 31
 
2.1%
W 27
 
1.8%
Other values (32) 278
19.0%
Common
ValueCountFrequency (%)
70208
50.8%
1 17859
 
12.9%
2 8152
 
5.9%
3 5922
 
4.3%
0 5549
 
4.0%
- 5085
 
3.7%
5 4892
 
3.5%
4 4640
 
3.4%
6 4053
 
2.9%
7 2990
 
2.2%
Other values (15) 8748
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169658
54.9%
ASCII 139543
45.1%
Number Forms 19
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70208
50.3%
1 17859
 
12.8%
2 8152
 
5.8%
3 5922
 
4.2%
0 5549
 
4.0%
- 5085
 
3.6%
5 4892
 
3.5%
4 4640
 
3.3%
6 4053
 
2.9%
7 2990
 
2.1%
Other values (52) 10193
 
7.3%
Hangul
ValueCountFrequency (%)
성 11120
 
6.6%
동 10940
 
6.4%
남 10829
 
6.4%
구 10563
 
6.2%
시 10286
 
6.1%
도 10148
 
6.0%
경 10038
 
5.9%
기 10015
 
5.9%
층 7660
 
4.5%
분 5379
 
3.2%
Other values (434) 72680
42.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 9
47.4%
Ⅱ 7
36.8%
Ⅰ 2
 
10.5%
Ⅳ 1
 
5.3%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
50.0%
ㅍ 1
50.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-04-12 00:00:00
Maximum2024-04-12 00:00:00
2024-04-21T10:43:26.360037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:43:26.443024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-04-21T10:43:26.505245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구업종명영업상태
구1.0000.0550.751
업종명0.0551.0000.012
영업상태0.7510.0121.000
2024-04-21T10:43:26.581316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태구업종명
영업상태1.0000.4080.020
구0.4081.0000.091
업종명0.0200.0911.000
2024-04-21T10:43:26.664239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구업종명영업상태
구1.0000.0910.408
업종명0.0911.0000.020
영업상태0.4080.0201.000

Missing values

2024-04-21T10:43:21.403987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:43:21.587145image/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.
2024-04-21T10:43:21.723768image/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

구업종명사업장명영업상태인허가일자폐업일자영업장면적(건물내부_건물외부)소재지(도로명)소재지(지번)데이터기준일자
29884분당구휴게음식점벤키(이탈리)-한시적폐업2022-08-042022-09-110경기도 성남시 분당구 판교역로146번길 20 현대백화점 판교점 9층 일부호 (백현동)경기도 성남시 분당구 백현동 541 현대백화점 판교점 9층 일부호2024-04-12
37846분당구일반음식점수내골폐업1996-11-272015-07-1770.5경기도 성남시 분당구 백현로101번길 17 (수내동 초림프라자 2층 206호)경기도 성남시 분당구 수내동 20-2 초림프라자 2층 206호2024-04-12
34659분당구일반음식점하마네폐업2016-02-242017-05-1847.88경기도 성남시 분당구 판교역로 109 A동 지하2층 B209호 (백현동 판교역 SK HUB)경기도 성남시 분당구 백현동 529 판교역 SK HUB A동 지하2층 B209호2024-04-12
2332수정구일반음식점카페 소셜드림폐업2000-09-192017-12-2056.39경기도 성남시 수정구 산성대로 287 3층 일부호 (신흥동)경기도 성남시 수정구 신흥동 2491-1 3층 일부2024-04-12
33013분당구휴게음식점로뎀커피폐업2010-07-052011-07-2136.48경기도 성남시 분당구 운중동 918 산운마을상가동 2층 204호2024-04-12
10424중원구일반음식점궁영업중1993-02-23<NA>115.79경기도 성남시 중원구 산성대로552번길 8 (은행동)경기도 성남시 중원구 은행동 722-19 (지층)2024-04-12
20884분당구휴게음식점크렘크레뮤(Creme Cremeuse)운영2022-06-27<NA>38.88경기도 성남시 분당구 판교로25번길 18-6 1층 일부(101호)호 (운중동)경기도 성남시 분당구 운중동 1030-6 1층 일부(101호)호2024-04-12
31499분당구일반음식점비룡각폐업2003-02-212003-06-0324.32경기도 성남시 분당구 수내동 24 한양아파트.A상가 지101호2024-04-12
13588중원구일반음식점라보때집폐업2005-05-252014-11-2522.94경기도 성남시 중원구 둔촌대로 183, 1층 (성남동)경기도 성남시 중원구 성남동 31222024-04-12
5618수정구일반음식점무사폐업2012-08-142014-02-2742.24경기도 성남시 수정구 수정로 194 1층 (신흥동)경기도 성남시 수정구 신흥동 5498 1층2024-04-12
구업종명사업장명영업상태인허가일자폐업일자영업장면적(건물내부_건물외부)소재지(도로명)소재지(지번)데이터기준일자
21759분당구일반음식점진지왕순대국운영2001-11-05<NA>170.3경기도 성남시 분당구 야탑로105번길 13 (야탑동 1층)경기도 성남시 분당구 야탑동 366-10 1층2024-04-12
722수정구일반음식점파주폐업1992-11-122019-09-1632.52경기도 성남시 수정구 수정북로 71 (태평동)경기도 성남시 수정구 태평동 33972024-04-12
26863분당구일반음식점옛날칼국수폐업2001-10-112004-05-1111.16경기도 성남시 분당구 서현동 266-1 서현킴스 11층2024-04-12
28894분당구일반음식점바움앤블룸(BAUM&BLUM)폐업2016-08-092023-12-2724.96경기도 성남시 분당구 동판교로177번길 25 (삼평동 판교 호반 써밋 플레이스 1층 153호 일부)경기도 성남시 분당구 삼평동 740 판교 호반 써밋 플레이스 1층 153호 일부2024-04-12
31121분당구일반음식점한가람폐업2012-07-192020-01-1021.12경기도 성남시 분당구 중앙공원로39번길 7 (서현동 한신근린상가 1층 127호)경기도 성남시 분당구 서현동 89-7 한신근린상가 1층 127호2024-04-12
9164수정구일반음식점모데카(MODECA)영업중2022-08-0448경기도 성남시 수정구 위례순환로 180 지1층 B08호 (창곡동)경기도 성남시 수정구 창곡동 522 지1층 B08호2024-04-12
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