Overview

Dataset statistics

Number of variables10
Number of observations1031
Missing cells583
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory81.7 KiB
Average record size in memory81.1 B

Variable types

Categorical3
Text3
DateTime3
Numeric1

Dataset

Description성남시 내 제과점(베이커리카페 포함) 현황으로, 구, 업종명, 사업장명, 인허가일자, 영업상태, 폐업일자, 소재지면적, 주소 항목으로 구성되어 있습니다.
Author경기도 성남시
URLhttps://www.data.go.kr/data/15076266/fileData.do

Alerts

업종명 has constant value ""Constant
구 is highly overall correlated with 영업상태High correlation
영업상태 is highly overall correlated with 구High correlation
폐업일자 has 372 (36.1%) missing valuesMissing
소재지(도로명) has 209 (20.3%) missing valuesMissing
데이터기준일자 has unique valuesUnique
영업장면적(건물내부_건물외부) has 101 (9.8%) zerosZeros

Reproduction

Analysis started2023-12-12 16:19:14.477981
Analysis finished2023-12-12 16:19:15.789784
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
분당구
755 
수정구
220 
중원구
 
56

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분당구 755
73.2%
수정구 220
 
21.3%
중원구 56
 
5.4%

Length

2023-12-13T01:19:15.881821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:15.988950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 755
73.2%
수정구 220
 
21.3%
중원구 56
 
5.4%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
제과점영업
1031 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제과점영업 1031
100.0%

Length

2023-12-13T01:19:16.082258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:16.198865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 1031
100.0%

사업장명
Text

Distinct933
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2023-12-13T01:19:16.465739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length27
Mean length8.6527643
Min length1

Characters and Unicode

Total characters8921
Distinct characters568
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique863 ?
Unique (%)83.7%

Sample

1st row몽블랑제과
2nd row파리바게뜨 태평점
3rd row안데르센과자점
4th row독일제과
5th row프랑스제과점
ValueCountFrequency (%)
파리바게뜨 52
 
3.5%
뚜레쥬르 38
 
2.6%
베이커리 24
 
1.6%
파리바게트 16
 
1.1%
판교점 11
 
0.7%
베이커리(bakery 11
 
0.7%
던킨도너츠 11
 
0.7%
서현점 8
 
0.5%
블럭제빵소 8
 
0.5%
분당점 7
 
0.5%
Other values (1060) 1292
87.4%
2023-12-13T01:19:16.912085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
449
 
5.0%
리 376
 
4.2%
점 375
 
4.2%
이 297
 
3.3%
) 169
 
1.9%
베 167
 
1.9%
( 166
 
1.9%
레 155
 
1.7%
파 151
 
1.7%
커 141
 
1.6%
Other values (558) 6475
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7175
80.4%
Lowercase Letter 460
 
5.2%
Space Separator 449
 
5.0%
Uppercase Letter 362
 
4.1%
Close Punctuation 169
 
1.9%
Open Punctuation 166
 
1.9%
Decimal Number 70
 
0.8%
Dash Punctuation 34
 
0.4%
Other Punctuation 33
 
0.4%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 376
 
5.2%
점 375
 
5.2%
이 297
 
4.1%
베 167
 
2.3%
레 155
 
2.2%
파 151
 
2.1%
커 141
 
2.0%
스 133
 
1.9%
바 127
 
1.8%
게 112
 
1.6%
Other values (487) 5141
71.7%
Lowercase Letter
ValueCountFrequency (%)
e 71
15.4%
a 49
10.7%
o 42
 
9.1%
n 35
 
7.6%
r 34
 
7.4%
i 27
 
5.9%
s 22
 
4.8%
t 21
 
4.6%
c 21
 
4.6%
u 19
 
4.1%
Other values (15) 119
25.9%
Uppercase Letter
ValueCountFrequency (%)
B 41
11.3%
A 36
 
9.9%
E 32
 
8.8%
K 26
 
7.2%
T 24
 
6.6%
O 24
 
6.6%
R 24
 
6.6%
S 21
 
5.8%
C 19
 
5.2%
N 18
 
5.0%
Other values (13) 97
26.8%
Decimal Number
ValueCountFrequency (%)
2 22
31.4%
1 20
28.6%
3 6
 
8.6%
8 5
 
7.1%
9 4
 
5.7%
6 3
 
4.3%
0 3
 
4.3%
4 3
 
4.3%
7 2
 
2.9%
5 2
 
2.9%
Other Punctuation
ValueCountFrequency (%)
& 12
36.4%
. 9
27.3%
' 4
 
12.1%
! 3
 
9.1%
, 3
 
9.1%
# 1
 
3.0%
/ 1
 
3.0%
Space Separator
ValueCountFrequency (%)
449
100.0%
Close Punctuation
ValueCountFrequency (%)
) 169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7175
80.4%
Common 924
 
10.4%
Latin 822
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 376
 
5.2%
점 375
 
5.2%
이 297
 
4.1%
베 167
 
2.3%
레 155
 
2.2%
파 151
 
2.1%
커 141
 
2.0%
스 133
 
1.9%
바 127
 
1.8%
게 112
 
1.6%
Other values (487) 5141
71.7%
Latin
ValueCountFrequency (%)
e 71
 
8.6%
a 49
 
6.0%
o 42
 
5.1%
B 41
 
5.0%
A 36
 
4.4%
n 35
 
4.3%
r 34
 
4.1%
E 32
 
3.9%
i 27
 
3.3%
K 26
 
3.2%
Other values (38) 429
52.2%
Common
ValueCountFrequency (%)
449
48.6%
) 169
 
18.3%
( 166
 
18.0%
- 34
 
3.7%
2 22
 
2.4%
1 20
 
2.2%
& 12
 
1.3%
. 9
 
1.0%
3 6
 
0.6%
8 5
 
0.5%
Other values (13) 32
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7175
80.4%
ASCII 1746
 
19.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
449
25.7%
) 169
 
9.7%
( 166
 
9.5%
e 71
 
4.1%
a 49
 
2.8%
o 42
 
2.4%
B 41
 
2.3%
A 36
 
2.1%
n 35
 
2.0%
- 34
 
1.9%
Other values (61) 654
37.5%
Hangul
ValueCountFrequency (%)
리 376
 
5.2%
점 375
 
5.2%
이 297
 
4.1%
베 167
 
2.3%
레 155
 
2.2%
파 151
 
2.1%
커 141
 
2.0%
스 133
 
1.9%
바 127
 
1.8%
게 112
 
1.6%
Other values (487) 5141
71.7%

영업상태
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
폐업
659 
영업중
316 
운영중
 
56

Length

Max length3
Median length2
Mean length2.3608147
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 659
63.9%
영업중 316
30.6%
운영중 56
 
5.4%

Length

2023-12-13T01:19:17.066210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:19:17.162190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 659
63.9%
영업중 316
30.6%
운영중 56
 
5.4%

인허가일자
Date

Distinct910
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
Minimum1983-07-05 00:00:00
Maximum2023-10-10 00:00:00
2023-12-13T01:19:17.300807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:19:17.473666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

폐업일자
Date

MISSING 

Distinct583
Distinct (%)88.5%
Missing372
Missing (%)36.1%
Memory size8.2 KiB
Minimum2005-09-01 00:00:00
Maximum2023-10-09 00:00:00
2023-12-13T01:19:17.618317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:19:17.738267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업장면적(건물내부_건물외부)
Real number (ℝ)

ZEROS 

Distinct842
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.622279
Minimum0
Maximum715.14
Zeros101
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size9.2 KiB
2023-12-13T01:19:17.868298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119.45
median34.43
Q358.3
95-th percentile120.15
Maximum715.14
Range715.14
Interquartile range (IQR)38.85

Descriptive statistics

Standard deviation54.962114
Coefficient of variation (CV)1.1788809
Kurtosis39.450573
Mean46.622279
Median Absolute Deviation (MAD)18.43
Skewness4.9417683
Sum48067.57
Variance3020.834
MonotonicityNot monotonic
2023-12-13T01:19:17.985918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 101
 
9.8%
25.2 5
 
0.5%
37.6 4
 
0.4%
24.64 4
 
0.4%
39.65 3
 
0.3%
50.32 3
 
0.3%
41.8 3
 
0.3%
31.5 3
 
0.3%
2.0 3
 
0.3%
22.4 3
 
0.3%
Other values (832) 899
87.2%
ValueCountFrequency (%)
0.0 101
9.8%
0.6 1
 
0.1%
0.81 1
 
0.1%
0.95 1
 
0.1%
1.0 1
 
0.1%
1.08 1
 
0.1%
1.2 2
 
0.2%
1.3 1
 
0.1%
1.44 1
 
0.1%
2.0 3
 
0.3%
ValueCountFrequency (%)
715.14 1
0.1%
497.15 1
0.1%
480.66 1
0.1%
467.51 1
0.1%
434.93 1
0.1%
432.92 1
0.1%
346.0 1
0.1%
337.55 1
0.1%
332.65 1
0.1%
322.44 1
0.1%

소재지(도로명)
Text

MISSING 

Distinct714
Distinct (%)86.9%
Missing209
Missing (%)20.3%
Memory size8.2 KiB
2023-12-13T01:19:18.256460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length60
Mean length42.940389
Min length9

Characters and Unicode

Total characters35297
Distinct characters341
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique686 ?
Unique (%)83.5%

Sample

1st row경기도 성남시 수정구 성남대로 1278 (태평동)
2nd row경기도 성남시 수정구 수정로 289, 1층 (신흥동, 상가동, 신흥주공상가)
3rd row경기도 성남시 수정구 남문로 10-1, 1,2층 (태평동)
4th row경기도 성남시 수정구 수정남로 89 (신흥동,1층)
5th row경기도 성남시 수정구 시민로 135 (신흥동)
ValueCountFrequency (%)
경기도 821
 
11.5%
성남시 821
 
11.5%
분당구 607
 
8.5%
1층 371
 
5.2%
지하1층 173
 
2.4%
수정구 159
 
2.2%
일부 138
 
1.9%
일부호 128
 
1.8%
백현동 117
 
1.6%
20 108
 
1.5%
Other values (1219) 3675
51.6%
2023-12-13T01:19:18.674929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6342
 
18.0%
1 1913
 
5.4%
, 1037
 
2.9%
성 982
 
2.8%
동 959
 
2.7%
남 936
 
2.7%
( 927
 
2.6%
) 927
 
2.6%
구 880
 
2.5%
시 856
 
2.4%
Other values (331) 19538
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20320
57.6%
Space Separator 6342
 
18.0%
Decimal Number 5434
 
15.4%
Other Punctuation 1044
 
3.0%
Open Punctuation 927
 
2.6%
Close Punctuation 927
 
2.6%
Uppercase Letter 186
 
0.5%
Dash Punctuation 109
 
0.3%
Math Symbol 6
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 982
 
4.8%
동 959
 
4.7%
남 936
 
4.6%
구 880
 
4.3%
시 856
 
4.2%
도 837
 
4.1%
로 825
 
4.1%
기 823
 
4.1%
경 821
 
4.0%
층 735
 
3.6%
Other values (289) 11666
57.4%
Uppercase Letter
ValueCountFrequency (%)
B 49
26.3%
A 44
23.7%
K 25
13.4%
C 7
 
3.8%
I 7
 
3.8%
E 7
 
3.8%
P 6
 
3.2%
D 6
 
3.2%
L 5
 
2.7%
S 5
 
2.7%
Other values (11) 25
13.4%
Decimal Number
ValueCountFrequency (%)
1 1913
35.2%
0 732
 
13.5%
2 684
 
12.6%
4 477
 
8.8%
3 429
 
7.9%
6 366
 
6.7%
5 314
 
5.8%
7 194
 
3.6%
8 169
 
3.1%
9 156
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 4
66.7%
> 1
 
16.7%
< 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 1037
99.3%
. 7
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
n 1
50.0%
Space Separator
ValueCountFrequency (%)
6342
100.0%
Open Punctuation
ValueCountFrequency (%)
( 927
100.0%
Close Punctuation
ValueCountFrequency (%)
) 927
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20320
57.6%
Common 14789
41.9%
Latin 188
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 982
 
4.8%
동 959
 
4.7%
남 936
 
4.6%
구 880
 
4.3%
시 856
 
4.2%
도 837
 
4.1%
로 825
 
4.1%
기 823
 
4.1%
경 821
 
4.0%
층 735
 
3.6%
Other values (289) 11666
57.4%
Latin
ValueCountFrequency (%)
B 49
26.1%
A 44
23.4%
K 25
13.3%
C 7
 
3.7%
I 7
 
3.7%
E 7
 
3.7%
P 6
 
3.2%
D 6
 
3.2%
L 5
 
2.7%
S 5
 
2.7%
Other values (13) 27
14.4%
Common
ValueCountFrequency (%)
6342
42.9%
1 1913
 
12.9%
, 1037
 
7.0%
( 927
 
6.3%
) 927
 
6.3%
0 732
 
4.9%
2 684
 
4.6%
4 477
 
3.2%
3 429
 
2.9%
6 366
 
2.5%
Other values (9) 955
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20320
57.6%
ASCII 14977
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6342
42.3%
1 1913
 
12.8%
, 1037
 
6.9%
( 927
 
6.2%
) 927
 
6.2%
0 732
 
4.9%
2 684
 
4.6%
4 477
 
3.2%
3 429
 
2.9%
6 366
 
2.4%
Other values (32) 1143
 
7.6%
Hangul
ValueCountFrequency (%)
성 982
 
4.8%
동 959
 
4.7%
남 936
 
4.6%
구 880
 
4.3%
시 856
 
4.2%
도 837
 
4.1%
로 825
 
4.1%
기 823
 
4.1%
경 821
 
4.0%
층 735
 
3.6%
Other values (289) 11666
57.4%

소재지(지번)
Text

Distinct910
Distinct (%)88.4%
Missing2
Missing (%)0.2%
Memory size8.2 KiB
2023-12-13T01:19:18.943200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length49
Mean length34.06414
Min length9

Characters and Unicode

Total characters35052
Distinct characters333
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique873 ?
Unique (%)84.8%

Sample

1st row경기도 성남시 수정구 신흥동 947
2nd row경기도 성남시 수정구 태평동 6111
3rd row경기도 성남시 수정구 신흥동 10 상가동, 신흥주공상가
4th row경기도 성남시 수정구 태평동 3181-2
5th row경기도 성남시 수정구 태평동 50-1
ValueCountFrequency (%)
경기도 1028
 
13.3%
성남시 1028
 
13.3%
분당구 755
 
9.8%
1층 421
 
5.5%
일부 221
 
2.9%
수정구 218
 
2.8%
지하1층 189
 
2.5%
서현동 127
 
1.6%
백현동 118
 
1.5%
정자동 103
 
1.3%
Other values (1379) 3505
45.4%
2023-12-13T01:19:19.374000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7687
21.9%
1 2184
 
6.2%
동 1164
 
3.3%
성 1105
 
3.2%
구 1104
 
3.1%
남 1065
 
3.0%
시 1064
 
3.0%
도 1046
 
3.0%
기 1029
 
2.9%
경 1028
 
2.9%
Other values (323) 16576
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19990
57.0%
Space Separator 7687
 
21.9%
Decimal Number 6286
 
17.9%
Dash Punctuation 500
 
1.4%
Uppercase Letter 204
 
0.6%
Other Punctuation 172
 
0.5%
Close Punctuation 103
 
0.3%
Open Punctuation 103
 
0.3%
Math Symbol 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1164
 
5.8%
성 1105
 
5.5%
구 1104
 
5.5%
남 1065
 
5.3%
시 1064
 
5.3%
도 1046
 
5.2%
기 1029
 
5.1%
경 1028
 
5.1%
분 830
 
4.2%
당 823
 
4.1%
Other values (280) 9732
48.7%
Uppercase Letter
ValueCountFrequency (%)
B 54
26.5%
A 52
25.5%
K 29
14.2%
E 7
 
3.4%
C 7
 
3.4%
I 7
 
3.4%
D 6
 
2.9%
P 6
 
2.9%
S 5
 
2.5%
L 5
 
2.5%
Other values (12) 26
12.7%
Decimal Number
ValueCountFrequency (%)
1 2184
34.7%
2 731
 
11.6%
0 637
 
10.1%
3 594
 
9.4%
5 525
 
8.4%
4 483
 
7.7%
6 389
 
6.2%
9 281
 
4.5%
7 243
 
3.9%
8 219
 
3.5%
Math Symbol
ValueCountFrequency (%)
~ 3
60.0%
< 1
 
20.0%
> 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 158
91.9%
. 14
 
8.1%
Lowercase Letter
ValueCountFrequency (%)
n 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
7687
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 500
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19990
57.0%
Common 14856
42.4%
Latin 206
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1164
 
5.8%
성 1105
 
5.5%
구 1104
 
5.5%
남 1065
 
5.3%
시 1064
 
5.3%
도 1046
 
5.2%
기 1029
 
5.1%
경 1028
 
5.1%
분 830
 
4.2%
당 823
 
4.1%
Other values (280) 9732
48.7%
Latin
ValueCountFrequency (%)
B 54
26.2%
A 52
25.2%
K 29
14.1%
E 7
 
3.4%
C 7
 
3.4%
I 7
 
3.4%
D 6
 
2.9%
P 6
 
2.9%
S 5
 
2.4%
L 5
 
2.4%
Other values (14) 28
13.6%
Common
ValueCountFrequency (%)
7687
51.7%
1 2184
 
14.7%
2 731
 
4.9%
0 637
 
4.3%
3 594
 
4.0%
5 525
 
3.5%
- 500
 
3.4%
4 483
 
3.3%
6 389
 
2.6%
9 281
 
1.9%
Other values (9) 845
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19990
57.0%
ASCII 15062
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7687
51.0%
1 2184
 
14.5%
2 731
 
4.9%
0 637
 
4.2%
3 594
 
3.9%
5 525
 
3.5%
- 500
 
3.3%
4 483
 
3.2%
6 389
 
2.6%
9 281
 
1.9%
Other values (33) 1051
 
7.0%
Hangul
ValueCountFrequency (%)
동 1164
 
5.8%
성 1105
 
5.5%
구 1104
 
5.5%
남 1065
 
5.3%
시 1064
 
5.3%
도 1046
 
5.2%
기 1029
 
5.1%
경 1028
 
5.1%
분 830
 
4.2%
당 823
 
4.1%
Other values (280) 9732
48.7%

데이터기준일자
Date

UNIQUE 

Distinct1031
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
Minimum1995-08-04 00:00:00
Maximum2023-10-16 00:00:00
2023-12-13T01:19:19.525311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:19:19.676225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T01:19:15.248259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:19:19.762627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구영업상태영업장면적(건물내부_건물외부)
구1.0000.9430.054
영업상태0.9431.0000.233
영업장면적(건물내부_건물외부)0.0540.2331.000
2023-12-13T01:19:19.849753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태구
영업상태1.0000.706
구0.7061.000
2023-12-13T01:19:19.919289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업장면적(건물내부_건물외부)구영업상태
영업장면적(건물내부_건물외부)1.0000.0360.160
구0.0361.0000.706
영업상태0.1600.7061.000

Missing values

2023-12-13T01:19:15.394855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:19:15.582834image/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.
2023-12-13T01:19:15.717123image/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
0수정구제과점영업몽블랑제과폐업1983-08-312008-04-1629.92<NA>경기도 성남시 수정구 신흥동 9472023-10-16
1수정구제과점영업파리바게뜨 태평점폐업1985-04-202020-10-0869.03경기도 성남시 수정구 성남대로 1278 (태평동)경기도 성남시 수정구 태평동 61112023-10-06
2수정구제과점영업안데르센과자점폐업1988-02-202015-07-3018.63경기도 성남시 수정구 수정로 289, 1층 (신흥동, 상가동, 신흥주공상가)경기도 성남시 수정구 신흥동 10 상가동, 신흥주공상가2023-09-26
3수정구제과점영업독일제과폐업1988-05-172005-09-0132.2<NA>경기도 성남시 수정구 태평동 3181-22023-09-16
4수정구제과점영업프랑스제과점폐업1988-05-312006-07-2518.21<NA>경기도 성남시 수정구 태평동 50-12023-09-06
5수정구제과점영업박정수베이커리폐업1989-10-232008-10-2248.88<NA>경기도 성남시 수정구 태평동 26062023-08-27
6수정구제과점영업아몬드제과폐업1990-08-212006-01-1860.35<NA>경기도 성남시 수정구 수진동 3993 1층2023-08-17
7수정구제과점영업이승호베이커하우스폐업1991-09-252009-05-0830.58<NA>경기도 성남시 수정구 신흥동 2859 1층2023-08-07
8수정구제과점영업고려당시청점폐업1991-10-012008-03-2446.02<NA>경기도 성남시 수정구 신흥동 5493-1 1층2023-07-28
9수정구제과점영업이승호 베이커리영업중1991-11-30<NA>87.35경기도 성남시 수정구 남문로 10-1, 1,2층 (태평동)경기도 성남시 수정구 태평동 5901 1층, 2층2023-07-18
구업종명사업장명영업상태인허가일자폐업일자영업장면적(건물내부_건물외부)소재지(도로명)소재지(지번)데이터기준일자
1021분당구제과점영업도우너-한시적폐업2023-06-132023-06-220.0경기도 성남시 분당구 황새울로360번길 42, AK플라자 지하1층 일부호 (서현동)경기도 성남시 분당구 서현동 263 AK플라자 지하1층 일부호1995-11-02
1022분당구제과점영업모어쿠키-한시적폐업2023-06-272023-07-130.0경기도 성남시 분당구 판교역로146번길 20, 현대백화점 판교점 지하1층 일부호 (백현동)경기도 성남시 분당구 백현동 541 현대백화점 판교점 지하1층 일부호1995-10-23
1023분당구제과점영업이매진 도넛-한시적폐업2023-07-112023-07-310.0경기도 성남시 분당구 판교역로146번길 20, 현대백화점 판교점 지하1층 일부호 (백현동)경기도 성남시 분당구 백현동 541 현대백화점 판교점 지하1층 일부호1995-10-13
1024분당구제과점영업디 피오리-한시적폐업2023-07-312023-08-310.0경기도 성남시 분당구 황새울로360번길 42, AK플라자 지하1층 일부호 (서현동)경기도 성남시 분당구 서현동 263 AK플라자1995-10-03
1025분당구제과점영업Imagine Donuts(이매진도넛)-한시적폐업2023-08-072023-08-170.0경기도 성남시 분당구 판교역로146번길 20, 현대백화점 판교점 지하1층 일부호 (백현동)경기도 성남시 분당구 백현동 541 현대백화점 판교점 지하1층 일부호1995-09-23
1026분당구제과점영업(주)파리크라상-한시적폐업2023-08-082023-08-170.0경기도 성남시 분당구 판교역로146번길 20, 현대백화점 판교점 지하1층 일부호 (백현동)경기도 성남시 분당구 백현동 541 현대백화점 판교점 지하1층 일부호1995-09-13
1027분당구제과점영업아워온즈폐업2023-08-172023-08-180.0경기도 성남시 분당구 판교역로146번길 20, 현대백화점 판교점 지하1층 일부호 (백현동)경기도 성남시 분당구 백현동 541 현대백화점 판교점 지하1층 일부호1995-09-03
1028분당구제과점영업프랑제리-한시적폐업2023-09-062023-09-140.0경기도 성남시 분당구 판교역로146번길 20, 현대백화점 판교점 지하1층 일부호 (백현동)경기도 성남시 분당구 백현동 541 현대백화점 판교점1995-08-24
1029분당구제과점영업농업회사법인 흥만소 주식회사-한시적폐업2023-09-192023-09-240.0경기도 성남시 분당구 판교역로146번길 20, 현대백화점 판교점 9층 일부호 (백현동)경기도 성남시 분당구 백현동 541 현대백화점 판교점1995-08-14
1030분당구제과점영업오달당-한시적폐업2023-10-022023-10-090.0경기도 성남시 분당구 판교역로146번길 20, 현대백화점 판교점 9층 일부호 (백현동)경기도 성남시 분당구 백현동 541 현대백화점 판교점 9층 일부1995-08-04