Overview

Dataset statistics

Number of variables8
Number of observations435
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.2 KiB
Average record size in memory66.3 B

Variable types

Categorical2
Text3
Numeric2
DateTime1

Dataset

Description성남시 유흥단란주점 현황에 대한 데이터로 구별, 업종명, 업소명, 소재지 주소, 위도, 경도 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3073844/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
구별 is highly overall correlated with 위도 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 13:57:09.996376
Analysis finished2023-12-12 13:57:11.138006
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
수정구
175 
중원구
140 
분당구
120 

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 (%)
수정구 175
40.2%
중원구 140
32.2%
분당구 120
27.6%

Length

2023-12-12T22:57:11.209571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:57:11.343056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수정구 175
40.2%
중원구 140
32.2%
분당구 120
27.6%

업종명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
유흥주점영업
267 
단란주점
168 

Length

Max length6
Median length6
Mean length5.2275862
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유흥주점영업 267
61.4%
단란주점 168
38.6%

Length

2023-12-12T22:57:11.496067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:57:11.632802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유흥주점영업 267
61.4%
단란주점 168
38.6%

업소명
Text

Distinct415
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T22:57:11.934056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length5.3241379
Min length1

Characters and Unicode

Total characters2316
Distinct characters382
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique396 ?
Unique (%)91.0%

Sample

1st row스타3040라이브
2nd row야화노래빵
3rd row망고노래빵
4th row사계영상가요주점
5th row백번관광카바레나이트
ValueCountFrequency (%)
노래빵 16
 
3.1%
라이브 6
 
1.2%
노래주점 5
 
1.0%
노래빠 5
 
1.0%
노래하는 4
 
0.8%
단란주점 4
 
0.8%
노래짱 4
 
0.8%
짱 4
 
0.8%
팡팡노래빵 3
 
0.6%
준코뮤직타운 3
 
0.6%
Other values (424) 457
89.4%
2023-12-12T22:57:12.408718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 210
 
9.1%
노 206
 
8.9%
빵 83
 
3.6%
76
 
3.3%
이 74
 
3.2%
0 61
 
2.6%
라 51
 
2.2%
브 46
 
2.0%
스 41
 
1.8%
주 40
 
1.7%
Other values (372) 1428
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2023
87.3%
Decimal Number 130
 
5.6%
Space Separator 76
 
3.3%
Uppercase Letter 39
 
1.7%
Close Punctuation 19
 
0.8%
Open Punctuation 19
 
0.8%
Other Punctuation 5
 
0.2%
Lowercase Letter 3
 
0.1%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 210
 
10.4%
노 206
 
10.2%
빵 83
 
4.1%
이 74
 
3.7%
라 51
 
2.5%
브 46
 
2.3%
스 41
 
2.0%
주 40
 
2.0%
점 38
 
1.9%
빠 34
 
1.7%
Other values (339) 1200
59.3%
Uppercase Letter
ValueCountFrequency (%)
B 7
17.9%
K 6
15.4%
O 5
12.8%
S 4
10.3%
R 3
7.7%
A 3
7.7%
I 2
 
5.1%
M 2
 
5.1%
N 1
 
2.6%
T 1
 
2.6%
Other values (5) 5
12.8%
Decimal Number
ValueCountFrequency (%)
0 61
46.9%
8 26
20.0%
7 25
19.2%
3 6
 
4.6%
5 3
 
2.3%
2 3
 
2.3%
1 2
 
1.5%
4 2
 
1.5%
9 2
 
1.5%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 2
40.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
66.7%
r 1
33.3%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2021
87.3%
Common 249
 
10.8%
Latin 44
 
1.9%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 210
 
10.4%
노 206
 
10.2%
빵 83
 
4.1%
이 74
 
3.7%
라 51
 
2.5%
브 46
 
2.3%
스 41
 
2.0%
주 40
 
2.0%
점 38
 
1.9%
빠 34
 
1.7%
Other values (337) 1198
59.3%
Latin
ValueCountFrequency (%)
B 7
15.9%
K 6
13.6%
O 5
11.4%
S 4
9.1%
R 3
 
6.8%
A 3
 
6.8%
a 2
 
4.5%
I 2
 
4.5%
M 2
 
4.5%
N 1
 
2.3%
Other values (9) 9
20.5%
Common
ValueCountFrequency (%)
76
30.5%
0 61
24.5%
8 26
 
10.4%
7 25
 
10.0%
) 19
 
7.6%
( 19
 
7.6%
3 6
 
2.4%
. 3
 
1.2%
5 3
 
1.2%
2 3
 
1.2%
Other values (4) 8
 
3.2%
Han
ValueCountFrequency (%)
宮 1
50.0%
酌 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2021
87.3%
ASCII 291
 
12.6%
Number Forms 2
 
0.1%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 210
 
10.4%
노 206
 
10.2%
빵 83
 
4.1%
이 74
 
3.7%
라 51
 
2.5%
브 46
 
2.3%
스 41
 
2.0%
주 40
 
2.0%
점 38
 
1.9%
빠 34
 
1.7%
Other values (337) 1198
59.3%
ASCII
ValueCountFrequency (%)
76
26.1%
0 61
21.0%
8 26
 
8.9%
7 25
 
8.6%
) 19
 
6.5%
( 19
 
6.5%
B 7
 
2.4%
3 6
 
2.1%
K 6
 
2.1%
O 5
 
1.7%
Other values (21) 41
14.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
CJK
ValueCountFrequency (%)
宮 1
50.0%
酌 1
50.0%

소재지(도로명)
Text

Distinct427
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T22:57:12.758473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length34.121839
Min length23

Characters and Unicode

Total characters14843
Distinct characters186
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique419 ?
Unique (%)96.3%

Sample

1st row경기도 성남시 수정구 시민로175번길 6, 지하1층 (신흥동)
2nd row경기도 성남시 수정구 수정로 110, 지하1층 (수진동)
3rd row경기도 성남시 수정구 시민로142번길 10, 지층 (신흥동)
4th row경기도 성남시 수정구 수정로99번길 3, 지층 (태평동)
5th row경기도 성남시 수정구 산성대로269번길 6, 3층 (신흥동)
ValueCountFrequency (%)
경기도 435
 
13.8%
성남시 435
 
13.8%
수정구 175
 
5.6%
중원구 140
 
4.4%
분당구 120
 
3.8%
지층 104
 
3.3%
신흥동 89
 
2.8%
성남동 83
 
2.6%
지하1층 72
 
2.3%
2층 58
 
1.8%
Other values (517) 1437
45.6%
2023-12-12T22:57:13.243497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2716
 
18.3%
성 667
 
4.5%
1 608
 
4.1%
남 604
 
4.1%
시 479
 
3.2%
구 454
 
3.1%
) 446
 
3.0%
( 446
 
3.0%
동 442
 
3.0%
로 439
 
3.0%
Other values (176) 7542
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8581
57.8%
Space Separator 2716
 
18.3%
Decimal Number 2105
 
14.2%
Close Punctuation 446
 
3.0%
Open Punctuation 446
 
3.0%
Other Punctuation 432
 
2.9%
Dash Punctuation 94
 
0.6%
Uppercase Letter 22
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 667
 
7.8%
남 604
 
7.0%
시 479
 
5.6%
구 454
 
5.3%
동 442
 
5.2%
로 439
 
5.1%
경 435
 
5.1%
기 435
 
5.1%
도 435
 
5.1%
층 372
 
4.3%
Other values (157) 3819
44.5%
Decimal Number
ValueCountFrequency (%)
1 608
28.9%
2 289
13.7%
3 258
12.3%
0 184
 
8.7%
4 174
 
8.3%
5 149
 
7.1%
6 137
 
6.5%
9 112
 
5.3%
7 100
 
4.8%
8 94
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 20
90.9%
G 1
 
4.5%
S 1
 
4.5%
Space Separator
ValueCountFrequency (%)
2716
100.0%
Close Punctuation
ValueCountFrequency (%)
) 446
100.0%
Open Punctuation
ValueCountFrequency (%)
( 446
100.0%
Other Punctuation
ValueCountFrequency (%)
, 432
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8581
57.8%
Common 6240
42.0%
Latin 22
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 667
 
7.8%
남 604
 
7.0%
시 479
 
5.6%
구 454
 
5.3%
동 442
 
5.2%
로 439
 
5.1%
경 435
 
5.1%
기 435
 
5.1%
도 435
 
5.1%
층 372
 
4.3%
Other values (157) 3819
44.5%
Common
ValueCountFrequency (%)
2716
43.5%
1 608
 
9.7%
) 446
 
7.1%
( 446
 
7.1%
, 432
 
6.9%
2 289
 
4.6%
3 258
 
4.1%
0 184
 
2.9%
4 174
 
2.8%
5 149
 
2.4%
Other values (6) 538
 
8.6%
Latin
ValueCountFrequency (%)
B 20
90.9%
G 1
 
4.5%
S 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8581
57.8%
ASCII 6262
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2716
43.4%
1 608
 
9.7%
) 446
 
7.1%
( 446
 
7.1%
, 432
 
6.9%
2 289
 
4.6%
3 258
 
4.1%
0 184
 
2.9%
4 174
 
2.8%
5 149
 
2.4%
Other values (9) 560
 
8.9%
Hangul
ValueCountFrequency (%)
성 667
 
7.8%
남 604
 
7.0%
시 479
 
5.6%
구 454
 
5.3%
동 442
 
5.2%
로 439
 
5.1%
경 435
 
5.1%
기 435
 
5.1%
도 435
 
5.1%
층 372
 
4.3%
Other values (157) 3819
44.5%

소재지(지번)
Text

Distinct425
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T22:57:13.519004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length42
Mean length26.487356
Min length19

Characters and Unicode

Total characters11522
Distinct characters156
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique415 ?
Unique (%)95.4%

Sample

1st row경기도 성남시 수정구 신흥동 5493-3 지하1층
2nd row경기도 성남시 수정구 수진동 53 지하1층
3rd row경기도 성남시 수정구 신흥동 4201 지층
4th row경기도 성남시 수정구 태평동 6428 외2필지지층
5th row경기도 성남시 수정구 신흥동 2516 3층
ValueCountFrequency (%)
경기도 435
16.1%
성남시 435
16.1%
수정구 175
 
6.5%
중원구 140
 
5.2%
분당구 120
 
4.4%
신흥동 109
 
4.0%
지층 89
 
3.3%
성남동 83
 
3.1%
지하1층 71
 
2.6%
2층 52
 
1.9%
Other values (515) 991
36.7%
2023-12-12T22:57:13.871036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2682
23.3%
성 530
 
4.6%
남 518
 
4.5%
구 448
 
3.9%
동 439
 
3.8%
시 436
 
3.8%
기 435
 
3.8%
경 435
 
3.8%
도 435
 
3.8%
1 430
 
3.7%
Other values (146) 4734
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6472
56.2%
Space Separator 2682
23.3%
Decimal Number 2117
 
18.4%
Dash Punctuation 139
 
1.2%
Open Punctuation 33
 
0.3%
Close Punctuation 33
 
0.3%
Other Punctuation 27
 
0.2%
Uppercase Letter 18
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 530
 
8.2%
남 518
 
8.0%
구 448
 
6.9%
동 439
 
6.8%
시 436
 
6.7%
기 435
 
6.7%
경 435
 
6.7%
도 435
 
6.7%
층 301
 
4.7%
지 229
 
3.5%
Other values (126) 2266
35.0%
Decimal Number
ValueCountFrequency (%)
1 430
20.3%
2 328
15.5%
3 317
15.0%
5 235
11.1%
4 221
10.4%
0 140
 
6.6%
6 122
 
5.8%
8 120
 
5.7%
7 107
 
5.1%
9 97
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 16
88.9%
S 1
 
5.6%
G 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 23
85.2%
. 4
 
14.8%
Space Separator
ValueCountFrequency (%)
2682
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6472
56.2%
Common 5032
43.7%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 530
 
8.2%
남 518
 
8.0%
구 448
 
6.9%
동 439
 
6.8%
시 436
 
6.7%
기 435
 
6.7%
경 435
 
6.7%
도 435
 
6.7%
층 301
 
4.7%
지 229
 
3.5%
Other values (126) 2266
35.0%
Common
ValueCountFrequency (%)
2682
53.3%
1 430
 
8.5%
2 328
 
6.5%
3 317
 
6.3%
5 235
 
4.7%
4 221
 
4.4%
0 140
 
2.8%
- 139
 
2.8%
6 122
 
2.4%
8 120
 
2.4%
Other values (7) 298
 
5.9%
Latin
ValueCountFrequency (%)
B 16
88.9%
S 1
 
5.6%
G 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6472
56.2%
ASCII 5050
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2682
53.1%
1 430
 
8.5%
2 328
 
6.5%
3 317
 
6.3%
5 235
 
4.7%
4 221
 
4.4%
0 140
 
2.8%
- 139
 
2.8%
6 122
 
2.4%
8 120
 
2.4%
Other values (10) 316
 
6.3%
Hangul
ValueCountFrequency (%)
성 530
 
8.2%
남 518
 
8.0%
구 448
 
6.9%
동 439
 
6.8%
시 436
 
6.7%
기 435
 
6.7%
경 435
 
6.7%
도 435
 
6.7%
층 301
 
4.7%
지 229
 
3.5%
Other values (126) 2266
35.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct354
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.13466
Minimum127.07699
Maximum127.16834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-12T22:57:14.033969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.07699
5-th percentile127.10718
Q1127.12875
median127.13515
Q3127.14368
95-th percentile127.15833
Maximum127.16834
Range0.0913503
Interquartile range (IQR)0.0149312

Descriptive statistics

Standard deviation0.014599619
Coefficient of variation (CV)0.00011483587
Kurtosis0.56928669
Mean127.13466
Median Absolute Deviation (MAD)0.0078681
Skewness-0.42276522
Sum55303.578
Variance0.00021314887
MonotonicityNot monotonic
2023-12-12T22:57:14.185588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1095106 4
 
0.9%
127.1248247 3
 
0.7%
127.1287505 3
 
0.7%
127.1100906 3
 
0.7%
127.1406294 3
 
0.7%
127.1073347 3
 
0.7%
127.1063184 3
 
0.7%
127.1263901 3
 
0.7%
127.1430405 3
 
0.7%
127.1245895 3
 
0.7%
Other values (344) 404
92.9%
ValueCountFrequency (%)
127.076989 1
 
0.2%
127.0777583 1
 
0.2%
127.1055316 1
 
0.2%
127.1063184 3
0.7%
127.1063274 2
0.5%
127.1067342 1
 
0.2%
127.1067384 2
0.5%
127.1067413 1
 
0.2%
127.1067433 1
 
0.2%
127.1067522 1
 
0.2%
ValueCountFrequency (%)
127.1683393 1
0.2%
127.1679748 1
0.2%
127.1678929 1
0.2%
127.167263 1
0.2%
127.1653745 1
0.2%
127.1644365 1
0.2%
127.1641198 1
0.2%
127.1639511 1
0.2%
127.1637129 1
0.2%
127.1632578 1
0.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct353
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.423987
Minimum37.338381
Maximum37.464915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2023-12-12T22:57:14.336394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.338381
5-th percentile37.364316
Q137.412303
median37.439418
Q337.442177
95-th percentile37.444714
Maximum37.464915
Range0.1265338
Interquartile range (IQR)0.02987395

Descriptive statistics

Standard deviation0.029560083
Coefficient of variation (CV)0.00078986995
Kurtosis1.0534952
Mean37.423987
Median Absolute Deviation (MAD)0.004841
Skewness-1.4916572
Sum16279.435
Variance0.00087379851
MonotonicityNot monotonic
2023-12-12T22:57:14.502079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3511861 4
 
0.9%
37.3383861 3
 
0.7%
37.4649151 3
 
0.7%
37.4487856 3
 
0.7%
37.3652909 3
 
0.7%
37.3862333 3
 
0.7%
37.3864063 3
 
0.7%
37.4120714 3
 
0.7%
37.4432428 3
 
0.7%
37.4394182 3
 
0.7%
Other values (343) 404
92.9%
ValueCountFrequency (%)
37.3383813 1
 
0.2%
37.3383861 3
0.7%
37.338417 1
 
0.2%
37.3385162 1
 
0.2%
37.3388765 2
0.5%
37.3393 1
 
0.2%
37.3398989 1
 
0.2%
37.3403764 1
 
0.2%
37.3404534 1
 
0.2%
37.3489403 1
 
0.2%
ValueCountFrequency (%)
37.4649151 3
0.7%
37.4620917 1
 
0.2%
37.4615902 1
 
0.2%
37.4607897 1
 
0.2%
37.4588211 1
 
0.2%
37.4543063 1
 
0.2%
37.4525435 1
 
0.2%
37.4514258 1
 
0.2%
37.4487856 3
0.7%
37.4486571 1
 
0.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2023-08-16 00:00:00
Maximum2023-08-16 00:00:00
2023-12-12T22:57:14.617166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:57:14.708079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:57:10.666169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:57:10.500943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:57:10.765269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:57:10.577863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:57:14.779895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별업종명위도경도
구별1.0000.1000.7950.981
업종명0.1001.0000.3850.205
위도0.7950.3851.0000.820
경도0.9810.2050.8201.000
2023-12-12T22:57:14.870886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별업종명
구별1.0000.165
업종명0.1651.000
2023-12-12T22:57:14.970057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구별업종명
위도1.0000.8430.7120.287
경도0.8431.0000.8280.203
구별0.7120.8281.0000.165
업종명0.2870.2030.1651.000

Missing values

2023-12-12T22:57:10.929203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:57:11.091392image/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

구별업종명업소명소재지(도로명)소재지(지번)위도경도데이터기준일자
0수정구유흥주점영업스타3040라이브경기도 성남시 수정구 시민로175번길 6, 지하1층 (신흥동)경기도 성남시 수정구 신흥동 5493-3 지하1층127.14210537.443582023-08-16
1수정구유흥주점영업야화노래빵경기도 성남시 수정구 수정로 110, 지하1층 (수진동)경기도 성남시 수정구 수진동 53 지하1층127.13264337.4409332023-08-16
2수정구유흥주점영업망고노래빵경기도 성남시 수정구 시민로142번길 10, 지층 (신흥동)경기도 성남시 수정구 신흥동 4201 지층127.14490237.4411042023-08-16
3수정구유흥주점영업사계영상가요주점경기도 성남시 수정구 수정로99번길 3, 지층 (태평동)경기도 성남시 수정구 태평동 6428 외2필지지층127.1311537.4410492023-08-16
4수정구유흥주점영업백번관광카바레나이트경기도 성남시 수정구 산성대로269번길 6, 3층 (신흥동)경기도 성남시 수정구 신흥동 2516 3층127.14705837.4413362023-08-16
5수정구유흥주점영업클레오경기도 성남시 수정구 산성대로269번길 6-11, 지1층 (신흥동)경기도 성남시 수정구 신흥동 2521 지1층127.14753937.4418172023-08-16
6수정구유흥주점영업축구장경기도 성남시 수정구 산성대로269번길 6-3, 지층 (신흥동)경기도 성남시 수정구 신흥동 2518-1 지층127.14702137.4416332023-08-16
7수정구유흥주점영업일번지 라이브경기도 성남시 수정구 수정로 172, 지층 (신흥동)경기도 성남시 수정구 신흥동 5524 지층127.13909637.4428462023-08-16
8수정구유흥주점영업도화 노래빠경기도 성남시 수정구 수정남로 31 (수진동,지층)경기도 성남시 수정구 수진동 2951 지층127.13135437.4400412023-08-16
9수정구유흥주점영업아리랑스텐드빠경기도 성남시 수정구 수정남로 69 (수진동)경기도 성남시 수정구 수진동 33-1127.13536337.4412422023-08-16
구별업종명업소명소재지(도로명)소재지(지번)위도경도데이터기준일자
425분당구단란주점탑세시봉라이브경기도 성남시 분당구 성남대로925번길 19 (야탑동, 터미널프라자 3층 306호일부)경기도 성남시 분당구 야탑동 352-1 터미널프라자 3층 306호일부127.1263937.4120712023-08-16
426분당구단란주점핑크 노래주점경기도 성남시 분당구 대왕판교로606번길 47 (삼평동, SG타워 B101호 일부)경기도 성남시 분당구 삼평동 655 SG타워 B101호 일부127.11250537.3968932023-08-16
427분당구단란주점써니단란주점경기도 성남시 분당구 황새울로258번길 10-7 (수내동)경기도 성남시 분당구 수내동 8-3 가나프라자 202호127.1162737.3801612023-08-16
428분당구단란주점모이세경기도 성남시 분당구 돌마로 73 (금곡동, 우방코아 3층 309호)경기도 성남시 분당구 금곡동 155 우방코아 3층 309호127.11002837.3503972023-08-16
429분당구단란주점돔라운지클럽경기도 성남시 분당구 성남대로343번길 10-6 (정자동, 5층 일부)경기도 성남시 분당구 정자동 18-4 5층 일부127.10708637.3671892023-08-16
430분당구단란주점레솔베르라운지경기도 성남시 분당구 정자일로 197, 정자동2차푸르지오시티 2층 220호 (정자동)경기도 성남시 분당구 정자동 16-2127.10553237.3678532023-08-16
431분당구단란주점킹7080경기도 성남시 분당구 미금일로90번길 32, 웰파크 빌딩 주건축물제1동 지1층 B112호 (구미동)경기도 성남시 분당구 구미동 30 웰파크 빌딩127.11042937.348942023-08-16
432분당구단란주점라이브에바경기도 성남시 분당구 야탑로65번길 8, 나인투빌딩 지하1층 14호 (야탑동)경기도 성남시 분당구 야탑동 354-4 나인투빌딩 지하1층 14호127.12636337.410532023-08-16
433분당구단란주점보스노래바경기도 성남시 분당구 장미로86번길 16, 야탑동 삼성빌딩 지1층 일부호 (야탑동)경기도 성남시 분당구 야탑동 361-7 야탑동 삼성빌딩127.13046737.4121742023-08-16
434분당구단란주점블루단란주점경기도 성남시 분당구 서현로210번길 14, 유성트윈프라자2차 지1층 비04-1호 (서현동)경기도 성남시 분당구 서현동 248-3 유성트윈프라자2차127.12458937.3862332023-08-16