Overview

Dataset statistics

Number of variables7
Number of observations324
Missing cells7
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.8 KiB
Average record size in memory59.4 B

Variable types

Numeric3
Text3
Categorical1

Dataset

Description대전광역시 서구 게임산업 등록현황 입니다.(순번, 상호, 우편번호, 영업소재지(도로명), 영업소재지(지번), 시설면적, 업종명)
URLhttps://www.data.go.kr/data/15104509/fileData.do

Alerts

순번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 순번High correlation
시설면적 has 6 (1.9%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:27:42.640609
Analysis finished2023-12-12 10:27:44.308588
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct324
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.5
Minimum1
Maximum324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T19:27:44.379461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.15
Q181.75
median162.5
Q3243.25
95-th percentile307.85
Maximum324
Range323
Interquartile range (IQR)161.5

Descriptive statistics

Standard deviation93.67497
Coefficient of variation (CV)0.57646135
Kurtosis-1.2
Mean162.5
Median Absolute Deviation (MAD)81
Skewness0
Sum52650
Variance8775
MonotonicityStrictly increasing
2023-12-12T19:27:44.522406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
205 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
Other values (314) 314
96.9%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%
319 1
0.3%
318 1
0.3%
317 1
0.3%
316 1
0.3%
315 1
0.3%

상호
Text

Distinct292
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T19:27:44.813976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length7.212963
Min length2

Characters and Unicode

Total characters2337
Distinct characters364
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

Unique264 ?
Unique (%)81.5%

Sample

1st rowGALAXY(갤럭시) PC
2nd row골뱅이 PC방
3rd rowOK PC방
4th row사이버파크
5th row옥스포드 PC방
ValueCountFrequency (%)
pc 28
 
5.8%
pc방 21
 
4.4%
주식회사 19
 
3.9%
게임랜드 6
 
1.2%
뽑기방 4
 
0.8%
inc 4
 
0.8%
샹떼pc방 4
 
0.8%
소프트 3
 
0.6%
cafe 3
 
0.6%
533 3
 
0.6%
Other values (343) 387
80.3%
2023-12-12T19:27:45.210964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 167
 
7.1%
C 164
 
7.0%
158
 
6.8%
방 65
 
2.8%
이 59
 
2.5%
스 53
 
2.3%
) 52
 
2.2%
( 52
 
2.2%
주 45
 
1.9%
드 35
 
1.5%
Other values (354) 1487
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1495
64.0%
Uppercase Letter 485
 
20.8%
Space Separator 158
 
6.8%
Lowercase Letter 59
 
2.5%
Close Punctuation 52
 
2.2%
Open Punctuation 52
 
2.2%
Decimal Number 23
 
1.0%
Other Punctuation 10
 
0.4%
Dash Punctuation 2
 
0.1%
Other Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 65
 
4.3%
이 59
 
3.9%
스 53
 
3.5%
주 45
 
3.0%
드 35
 
2.3%
점 28
 
1.9%
임 27
 
1.8%
게 27
 
1.8%
뽑 26
 
1.7%
아 25
 
1.7%
Other values (298) 1105
73.9%
Uppercase Letter
ValueCountFrequency (%)
P 167
34.4%
C 164
33.8%
E 20
 
4.1%
A 19
 
3.9%
O 16
 
3.3%
S 11
 
2.3%
B 10
 
2.1%
G 10
 
2.1%
K 9
 
1.9%
I 8
 
1.6%
Other values (13) 51
 
10.5%
Lowercase Letter
ValueCountFrequency (%)
a 13
22.0%
l 9
15.3%
n 6
10.2%
c 4
 
6.8%
t 4
 
6.8%
x 3
 
5.1%
r 3
 
5.1%
i 3
 
5.1%
m 2
 
3.4%
y 2
 
3.4%
Other values (8) 10
16.9%
Decimal Number
ValueCountFrequency (%)
3 9
39.1%
5 5
21.7%
1 4
17.4%
6 2
 
8.7%
2 2
 
8.7%
4 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 4
40.0%
· 4
40.0%
& 1
 
10.0%
' 1
 
10.0%
Space Separator
ValueCountFrequency (%)
158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Number
ValueCountFrequency (%)
₂ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1495
64.0%
Latin 544
 
23.3%
Common 298
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 65
 
4.3%
이 59
 
3.9%
스 53
 
3.5%
주 45
 
3.0%
드 35
 
2.3%
점 28
 
1.9%
임 27
 
1.8%
게 27
 
1.8%
뽑 26
 
1.7%
아 25
 
1.7%
Other values (298) 1105
73.9%
Latin
ValueCountFrequency (%)
P 167
30.7%
C 164
30.1%
E 20
 
3.7%
A 19
 
3.5%
O 16
 
2.9%
a 13
 
2.4%
S 11
 
2.0%
B 10
 
1.8%
G 10
 
1.8%
l 9
 
1.7%
Other values (31) 105
19.3%
Common
ValueCountFrequency (%)
158
53.0%
) 52
 
17.4%
( 52
 
17.4%
3 9
 
3.0%
5 5
 
1.7%
1 4
 
1.3%
. 4
 
1.3%
· 4
 
1.3%
- 2
 
0.7%
6 2
 
0.7%
Other values (5) 6
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1495
64.0%
ASCII 837
35.8%
None 5
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 167
20.0%
C 164
19.6%
158
18.9%
) 52
 
6.2%
( 52
 
6.2%
E 20
 
2.4%
A 19
 
2.3%
O 16
 
1.9%
a 13
 
1.6%
S 11
 
1.3%
Other values (44) 165
19.7%
Hangul
ValueCountFrequency (%)
방 65
 
4.3%
이 59
 
3.9%
스 53
 
3.5%
주 45
 
3.0%
드 35
 
2.3%
점 28
 
1.9%
임 27
 
1.8%
게 27
 
1.8%
뽑 26
 
1.7%
아 25
 
1.7%
Other values (298) 1105
73.9%
None
ValueCountFrequency (%)
· 4
80.0%
₂ 1
 
20.0%

우편번호
Real number (ℝ)

Distinct97
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35289.068
Minimum35200
Maximum35415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T19:27:45.386760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35200
5-th percentile35213
Q135235
median35277
Q335334.25
95-th percentile35390
Maximum35415
Range215
Interquartile range (IQR)99.25

Descriptive statistics

Standard deviation57.985172
Coefficient of variation (CV)0.0016431483
Kurtosis-0.93999297
Mean35289.068
Median Absolute Deviation (MAD)47
Skewness0.38906565
Sum11433658
Variance3362.2802
MonotonicityNot monotonic
2023-12-12T19:27:45.535491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35230 17
 
5.2%
35363 11
 
3.4%
35272 11
 
3.4%
35350 10
 
3.1%
35299 10
 
3.1%
35264 9
 
2.8%
35225 9
 
2.8%
35378 9
 
2.8%
35368 7
 
2.2%
35412 7
 
2.2%
Other values (87) 224
69.1%
ValueCountFrequency (%)
35200 1
 
0.3%
35203 6
1.9%
35209 6
1.9%
35210 1
 
0.3%
35211 1
 
0.3%
35213 6
1.9%
35214 6
1.9%
35217 1
 
0.3%
35220 1
 
0.3%
35221 7
2.2%
ValueCountFrequency (%)
35415 2
 
0.6%
35413 1
 
0.3%
35412 7
2.2%
35404 3
 
0.9%
35396 1
 
0.3%
35393 2
 
0.6%
35390 2
 
0.6%
35383 1
 
0.3%
35379 2
 
0.6%
35378 9
2.8%

영업소소재지(도로명)
Text

Distinct304
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-12T19:27:45.872597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length30.45679
Min length21

Characters and Unicode

Total characters9868
Distinct characters192
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)88.6%

Sample

1st row대전광역시 서구 관저로 157, 406호 (관저동, 하이존상가)
2nd row대전광역시 서구 도산로 155, 지하층 (변동)
3rd row대전광역시 서구 계룡로 546 (괴정동, 한신빌딩)
4th row대전광역시 서구 탄방로7번길 71, 다함빌딩 지하호 (탄방동)
5th row대전광역시 서구 도산로 330, 지하호 (용문동)
ValueCountFrequency (%)
대전광역시 324
 
16.0%
서구 324
 
16.0%
1층 65
 
3.2%
둔산동 44
 
2.2%
2층 41
 
2.0%
월평동 40
 
2.0%
갈마동 30
 
1.5%
도마동 28
 
1.4%
괴정동 28
 
1.4%
탄방동 27
 
1.3%
Other values (472) 1069
52.9%
2023-12-12T19:27:46.725941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1709
 
17.3%
대 407
 
4.1%
1 401
 
4.1%
동 354
 
3.6%
전 335
 
3.4%
, 335
 
3.4%
서 331
 
3.4%
시 325
 
3.3%
구 325
 
3.3%
광 325
 
3.3%
Other values (182) 5021
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5454
55.3%
Space Separator 1709
 
17.3%
Decimal Number 1660
 
16.8%
Other Punctuation 337
 
3.4%
Close Punctuation 324
 
3.3%
Open Punctuation 324
 
3.3%
Dash Punctuation 44
 
0.4%
Uppercase Letter 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 407
 
7.5%
동 354
 
6.5%
전 335
 
6.1%
서 331
 
6.1%
시 325
 
6.0%
구 325
 
6.0%
광 325
 
6.0%
역 325
 
6.0%
로 319
 
5.8%
층 186
 
3.4%
Other values (157) 2222
40.7%
Decimal Number
ValueCountFrequency (%)
1 401
24.2%
2 237
14.3%
0 194
11.7%
3 190
11.4%
4 144
 
8.7%
5 131
 
7.9%
6 102
 
6.1%
7 94
 
5.7%
8 84
 
5.1%
9 83
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 8
50.0%
O 2
 
12.5%
M 1
 
6.2%
H 1
 
6.2%
D 1
 
6.2%
A 1
 
6.2%
J 1
 
6.2%
K 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 335
99.4%
/ 1
 
0.3%
@ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1709
100.0%
Close Punctuation
ValueCountFrequency (%)
) 324
100.0%
Open Punctuation
ValueCountFrequency (%)
( 324
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5454
55.3%
Common 4398
44.6%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 407
 
7.5%
동 354
 
6.5%
전 335
 
6.1%
서 331
 
6.1%
시 325
 
6.0%
구 325
 
6.0%
광 325
 
6.0%
역 325
 
6.0%
로 319
 
5.8%
층 186
 
3.4%
Other values (157) 2222
40.7%
Common
ValueCountFrequency (%)
1709
38.9%
1 401
 
9.1%
, 335
 
7.6%
) 324
 
7.4%
( 324
 
7.4%
2 237
 
5.4%
0 194
 
4.4%
3 190
 
4.3%
4 144
 
3.3%
5 131
 
3.0%
Other values (7) 409
 
9.3%
Latin
ValueCountFrequency (%)
B 8
50.0%
O 2
 
12.5%
M 1
 
6.2%
H 1
 
6.2%
D 1
 
6.2%
A 1
 
6.2%
J 1
 
6.2%
K 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5454
55.3%
ASCII 4414
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1709
38.7%
1 401
 
9.1%
, 335
 
7.6%
) 324
 
7.3%
( 324
 
7.3%
2 237
 
5.4%
0 194
 
4.4%
3 190
 
4.3%
4 144
 
3.3%
5 131
 
3.0%
Other values (15) 425
 
9.6%
Hangul
ValueCountFrequency (%)
대 407
 
7.5%
동 354
 
6.5%
전 335
 
6.1%
서 331
 
6.1%
시 325
 
6.0%
구 325
 
6.0%
광 325
 
6.0%
역 325
 
6.0%
로 319
 
5.8%
층 186
 
3.4%
Other values (157) 2222
40.7%

영업소소재지(지번)
Text

Distinct289
Distinct (%)89.5%
Missing1
Missing (%)0.3%
Memory size2.7 KiB
2023-12-12T19:27:47.100748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length20.662539
Min length16

Characters and Unicode

Total characters6674
Distinct characters146
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)80.8%

Sample

1st row대전광역시 서구 관저동 1340 하이존상가 406호
2nd row대전광역시 서구 변동 61-7
3rd row대전광역시 서구 괴정동 7-1 한신빌딩 3층
4th row대전광역시 서구 탄방동 1010 다함빌딩
5th row대전광역시 서구 용문동 277-9
ValueCountFrequency (%)
대전광역시 323
22.0%
서구 323
22.0%
둔산동 50
 
3.4%
월평동 43
 
2.9%
갈마동 34
 
2.3%
도마동 32
 
2.2%
탄방동 30
 
2.0%
괴정동 29
 
2.0%
관저동 25
 
1.7%
도안동 20
 
1.4%
Other values (369) 556
38.0%
2023-12-12T19:27:47.628564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1442
21.6%
대 338
 
5.1%
전 333
 
5.0%
동 328
 
4.9%
서 324
 
4.9%
구 324
 
4.9%
역 323
 
4.8%
광 323
 
4.8%
시 323
 
4.8%
1 293
 
4.4%
Other values (136) 2323
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3719
55.7%
Space Separator 1442
 
21.6%
Decimal Number 1374
 
20.6%
Dash Punctuation 132
 
2.0%
Uppercase Letter 5
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 338
 
9.1%
전 333
 
9.0%
동 328
 
8.8%
서 324
 
8.7%
구 324
 
8.7%
역 323
 
8.7%
광 323
 
8.7%
시 323
 
8.7%
마 71
 
1.9%
도 57
 
1.5%
Other values (118) 975
26.2%
Decimal Number
ValueCountFrequency (%)
1 293
21.3%
2 159
11.6%
3 152
11.1%
0 143
10.4%
7 118
8.6%
4 118
8.6%
5 117
 
8.5%
8 100
 
7.3%
9 94
 
6.8%
6 80
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
K 1
20.0%
J 1
20.0%
D 1
20.0%
Other Punctuation
ValueCountFrequency (%)
@ 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
1442
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3719
55.7%
Common 2950
44.2%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 338
 
9.1%
전 333
 
9.0%
동 328
 
8.8%
서 324
 
8.7%
구 324
 
8.7%
역 323
 
8.7%
광 323
 
8.7%
시 323
 
8.7%
마 71
 
1.9%
도 57
 
1.5%
Other values (118) 975
26.2%
Common
ValueCountFrequency (%)
1442
48.9%
1 293
 
9.9%
2 159
 
5.4%
3 152
 
5.2%
0 143
 
4.8%
- 132
 
4.5%
7 118
 
4.0%
4 118
 
4.0%
5 117
 
4.0%
8 100
 
3.4%
Other values (4) 176
 
6.0%
Latin
ValueCountFrequency (%)
B 2
40.0%
K 1
20.0%
J 1
20.0%
D 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3719
55.7%
ASCII 2955
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1442
48.8%
1 293
 
9.9%
2 159
 
5.4%
3 152
 
5.1%
0 143
 
4.8%
- 132
 
4.5%
7 118
 
4.0%
4 118
 
4.0%
5 117
 
4.0%
8 100
 
3.4%
Other values (8) 181
 
6.1%
Hangul
ValueCountFrequency (%)
대 338
 
9.1%
전 333
 
9.0%
동 328
 
8.8%
서 324
 
8.7%
구 324
 
8.7%
역 323
 
8.7%
광 323
 
8.7%
시 323
 
8.7%
마 71
 
1.9%
도 57
 
1.5%
Other values (118) 975
26.2%

시설면적
Real number (ℝ)

MISSING 

Distinct277
Distinct (%)87.1%
Missing6
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean159.4
Minimum3.3
Maximum860.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T19:27:47.793675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile17.637
Q143.2625
median120.065
Q3240.7875
95-th percentile443.6655
Maximum860.89
Range857.59
Interquartile range (IQR)197.525

Descriptive statistics

Standard deviation144.13146
Coefficient of variation (CV)0.90421243
Kurtosis3.3690709
Mean159.4
Median Absolute Deviation (MAD)85.7
Skewness1.5416127
Sum50689.2
Variance20773.878
MonotonicityNot monotonic
2023-12-12T19:27:47.946421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.28 5
 
1.5%
33.0 5
 
1.5%
12.31 4
 
1.2%
141.08 4
 
1.2%
20.0 4
 
1.2%
69.42 3
 
0.9%
30.0 3
 
0.9%
50.0 3
 
0.9%
29.25 2
 
0.6%
107.0 2
 
0.6%
Other values (267) 283
87.3%
(Missing) 6
 
1.9%
ValueCountFrequency (%)
3.3 1
 
0.3%
5.0 1
 
0.3%
6.0 1
 
0.3%
8.0 1
 
0.3%
9.45 1
 
0.3%
12.0 1
 
0.3%
12.31 4
1.2%
13.12 1
 
0.3%
13.23 1
 
0.3%
14.5 2
0.6%
ValueCountFrequency (%)
860.89 1
0.3%
836.37 1
0.3%
743.5 1
0.3%
595.75 1
0.3%
593.71 1
0.3%
556.98 1
0.3%
491.59 1
0.3%
489.41 1
0.3%
487.48 1
0.3%
485.53 1
0.3%

업종명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
인터넷컴퓨터게임시설제공업
135 
게임물제작업
60 
청소년게임제공업
59 
복합유통게임제공업
38 
게임물배급업
20 

Length

Max length13
Median length9
Mean length9.6697531
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 135
41.7%
게임물제작업 60
18.5%
청소년게임제공업 59
18.2%
복합유통게임제공업 38
 
11.7%
게임물배급업 20
 
6.2%
일반게임제공업 12
 
3.7%

Length

2023-12-12T19:27:48.084549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:48.203656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 135
41.7%
게임물제작업 60
18.5%
청소년게임제공업 59
18.2%
복합유통게임제공업 38
 
11.7%
게임물배급업 20
 
6.2%
일반게임제공업 12
 
3.7%

Interactions

2023-12-12T19:27:43.737314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:27:43.189996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:27:43.469859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:27:43.829588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:27:43.301685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:27:43.580171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:27:43.914776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:27:43.381418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:27:43.658567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:27:48.288515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번우편번호시설면적업종명
순번1.0000.0000.4420.917
우편번호0.0001.0000.1250.182
시설면적0.4420.1251.0000.492
업종명0.9170.1820.4921.000
2023-12-12T19:27:48.377636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번우편번호시설면적업종명
순번1.0000.008-0.4210.788
우편번호0.0081.0000.0190.092
시설면적-0.4210.0191.0000.268
업종명0.7880.0920.2681.000

Missing values

2023-12-12T19:27:44.031473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:27:44.147614image/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.
2023-12-12T19:27:44.256791image/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

순번상호우편번호영업소소재지(도로명)영업소소재지(지번)시설면적업종명
01GALAXY(갤럭시) PC35378대전광역시 서구 관저로 157, 406호 (관저동, 하이존상가)대전광역시 서구 관저동 1340 하이존상가 406호238.69인터넷컴퓨터게임시설제공업
12골뱅이 PC방35322대전광역시 서구 도산로 155, 지하층 (변동)대전광역시 서구 변동 61-7134.82인터넷컴퓨터게임시설제공업
23OK PC방35268대전광역시 서구 계룡로 546 (괴정동, 한신빌딩)대전광역시 서구 괴정동 7-1 한신빌딩 3층185.52인터넷컴퓨터게임시설제공업
34사이버파크35255대전광역시 서구 탄방로7번길 71, 다함빌딩 지하호 (탄방동)대전광역시 서구 탄방동 1010 다함빌딩158.69인터넷컴퓨터게임시설제공업
45옥스포드 PC방35302대전광역시 서구 도산로 330, 지하호 (용문동)대전광역시 서구 용문동 277-9595.75인터넷컴퓨터게임시설제공업
56네이버PC35293대전광역시 서구 갈마로 209 (괴정동)대전광역시 서구 괴정동 110-9 1층476.0인터넷컴퓨터게임시설제공업
67마스터PC35344대전광역시 서구 배재로197번길 27-53, 2층 (도마동)대전광역시 서구 도마동 429-4234.34인터넷컴퓨터게임시설제공업
78사이버월드PC방35289대전광역시 서구 동서대로 1015, 2층 (내동)대전광역시 서구 내동 23-59198.0인터넷컴퓨터게임시설제공업
89로그인 PC방35337대전광역시 서구 도마로 22, 지하층 (도마동)대전광역시 서구 도마동 49-7 지하100.8인터넷컴퓨터게임시설제공업
910좋은 친구들 PC방35224대전광역시 서구 신갈마로 227 (갈마동,2층)대전광역시 서구 갈마동 261-23 2층211.56인터넷컴퓨터게임시설제공업
순번상호우편번호영업소소재지(도로명)영업소소재지(지번)시설면적업종명
314315금고양이35288대전광역시 서구 갈마로 206, 1층 (내동)대전광역시 서구 내동 35-1111.07청소년게임제공업
315316한민 뽑기방35296대전광역시 서구 괴정로134번길 31, 1층 (가장동)대전광역시 서구 가장동 58-913.12청소년게임제공업
316317노서브 뽑기방35312대전광역시 서구 괴정로 168, 106호 (가장동)대전광역시 서구 가장동 53-274.84청소년게임제공업
317318토이팩토리35378대전광역시 서구 관저중로96번길 70, 101호 (관저동)대전광역시 서구 관저동 130719.85청소년게임제공업
318319인형왕국35368대전광역시 서구 도안동로 9, 리더스프라자비 (도안동)대전광역시 서구 도안동 1794 리더스프라자비43.24청소년게임제공업
319320다이쏘 뽑기방35270대전광역시 서구 갈마중로 7, 1층 (갈마동)대전광역시 서구 갈마동 362-251.33청소년게임제공업
320321둔산게임존(DUNSAN GAMEZONE)35241대전광역시 서구 둔산남로105번길 28, 1층 (둔산동)대전광역시 서구 둔산동 1489215.74청소년게임제공업
321322뽑기중독35360대전광역시 서구 관저북로51번길 15-1, 101호 (관저동)대전광역시 서구 관저동 1852 101호56.19청소년게임제공업
322323DO KKAE BI PPOB-GI HOUSE35230대전광역시 서구 둔지로 11, 트라이얼스타 114호 (둔산동)대전광역시 서구 둔산동 1077 트라이얼스타 114호34.4청소년게임제공업
323324가족오락관(가수원점)35368대전광역시 서구 도안동로11번길 32, 금성빌딩 102호 (도안동)대전광역시 서구 도안동 1765 금성빌딩 102호44.0청소년게임제공업