Overview

Dataset statistics

Number of variables9
Number of observations82
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory76.6 B

Variable types

Numeric3
Categorical2
DateTime1
Text3

Dataset

Description경상남도 거제시 게임제공업소 현황 자료입니다. 인터넷컴퓨터게임시설제공업, 복합유통게임제공업, 일반게임제공업, 청소년게임제공업 등의 상호명, 지번, 도로명, 위경도 좌표정보을 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079213

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
상호 has unique valuesUnique
영업소소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:56:49.421997
Analysis finished2023-12-11 00:56:50.962941
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.5
Minimum1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-11T09:56:51.027269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.05
Q121.25
median41.5
Q361.75
95-th percentile77.95
Maximum82
Range81
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation23.815261
Coefficient of variation (CV)0.57386172
Kurtosis-1.2
Mean41.5
Median Absolute Deviation (MAD)20.5
Skewness0
Sum3403
Variance567.16667
MonotonicityStrictly increasing
2023-12-11T09:56:51.156537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
63 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
Other values (72) 72
87.8%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%

업종명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size788.0 B
인터넷컴퓨터게임시설제공업
53 
청소년게임제공업
20 
복합유통게임제공업
7 
일반게임제공업
 
2

Length

Max length13
Median length13
Mean length11.292683
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 53
64.6%
청소년게임제공업 20
 
24.4%
복합유통게임제공업 7
 
8.5%
일반게임제공업 2
 
2.4%

Length

2023-12-11T09:56:51.274464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:56:51.366288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 53
64.6%
청소년게임제공업 20
 
24.4%
복합유통게임제공업 7
 
8.5%
일반게임제공업 2
 
2.4%

등록(신고)일자
Date

Distinct78
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
Minimum2007-07-25 00:00:00
Maximum2021-04-23 00:00:00
2023-12-11T09:56:51.478703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:51.592254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상호
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-11T09:56:51.792451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.7560976
Min length2

Characters and Unicode

Total characters554
Distinct characters151
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

Unique82 ?
Unique (%)100.0%

Sample

1st row블루넷 PC방
2nd rowMX5
3rd row메트로 PC방
4th row짱pc방
5th row피씨토랑 거제본점 2호점
ValueCountFrequency (%)
pc방 5
 
4.8%
짱pc방 2
 
1.9%
pc 2
 
1.9%
갤러리pc방 2
 
1.9%
블루넷 1
 
1.0%
빠찡코pc 1
 
1.0%
g 1
 
1.0%
수pc 1
 
1.0%
수호pc카페 1
 
1.0%
샹떼pc방 1
 
1.0%
Other values (87) 87
83.7%
2023-12-11T09:56:52.144623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 37
 
6.7%
C 36
 
6.5%
방 27
 
4.9%
22
 
4.0%
점 20
 
3.6%
p 16
 
2.9%
c 15
 
2.7%
) 12
 
2.2%
피 12
 
2.2%
스 12
 
2.2%
Other values (141) 345
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 386
69.7%
Uppercase Letter 82
 
14.8%
Lowercase Letter 35
 
6.3%
Space Separator 22
 
4.0%
Close Punctuation 12
 
2.2%
Open Punctuation 12
 
2.2%
Decimal Number 4
 
0.7%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 27
 
7.0%
점 20
 
5.2%
피 12
 
3.1%
스 12
 
3.1%
게 11
 
2.8%
이 11
 
2.8%
아 10
 
2.6%
임 10
 
2.6%
드 10
 
2.6%
제 9
 
2.3%
Other values (119) 254
65.8%
Uppercase Letter
ValueCountFrequency (%)
P 37
45.1%
C 36
43.9%
N 2
 
2.4%
M 2
 
2.4%
G 1
 
1.2%
X 1
 
1.2%
R 1
 
1.2%
E 1
 
1.2%
T 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
p 16
45.7%
c 15
42.9%
e 1
 
2.9%
n 1
 
2.9%
o 1
 
2.9%
z 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
5 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 386
69.7%
Latin 117
 
21.1%
Common 51
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 27
 
7.0%
점 20
 
5.2%
피 12
 
3.1%
스 12
 
3.1%
게 11
 
2.8%
이 11
 
2.8%
아 10
 
2.6%
임 10
 
2.6%
드 10
 
2.6%
제 9
 
2.3%
Other values (119) 254
65.8%
Latin
ValueCountFrequency (%)
P 37
31.6%
C 36
30.8%
p 16
13.7%
c 15
12.8%
N 2
 
1.7%
M 2
 
1.7%
G 1
 
0.9%
X 1
 
0.9%
e 1
 
0.9%
n 1
 
0.9%
Other values (5) 5
 
4.3%
Common
ValueCountFrequency (%)
22
43.1%
) 12
23.5%
( 12
23.5%
2 2
 
3.9%
5 1
 
2.0%
3 1
 
2.0%
- 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 386
69.7%
ASCII 168
30.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 37
22.0%
C 36
21.4%
22
13.1%
p 16
9.5%
c 15
8.9%
) 12
 
7.1%
( 12
 
7.1%
N 2
 
1.2%
2 2
 
1.2%
M 2
 
1.2%
Other values (12) 12
 
7.1%
Hangul
ValueCountFrequency (%)
방 27
 
7.0%
점 20
 
5.2%
피 12
 
3.1%
스 12
 
3.1%
게 11
 
2.8%
이 11
 
2.8%
아 10
 
2.6%
임 10
 
2.6%
드 10
 
2.6%
제 9
 
2.3%
Other values (119) 254
65.8%

영업소소재지(도로명)
Text

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-11T09:56:52.443564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length30.52439
Min length22

Characters and Unicode

Total characters2503
Distinct characters115
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

Unique82 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 중곡로1길 36-5, 2층 (고현동)
2nd row경상남도 거제시 장평3로7길 31 (장평동,(2층))
3rd row경상남도 거제시 거제중앙로 1913 (고현동,동주빌딩 5층)
4th row경상남도 거제시 옥포대첩로2길 48 (옥포동)
5th row경상남도 거제시 거제중앙로 1766, 1층 (상동동)
ValueCountFrequency (%)
경상남도 82
 
15.8%
거제시 82
 
15.8%
고현동 23
 
4.4%
1층 19
 
3.7%
2층 17
 
3.3%
옥포동 16
 
3.1%
장평동 12
 
2.3%
4층 7
 
1.3%
능포동 7
 
1.3%
3층 6
 
1.2%
Other values (170) 249
47.9%
2023-12-11T09:56:52.988448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
440
 
17.6%
1 131
 
5.2%
제 99
 
4.0%
거 97
 
3.9%
상 94
 
3.8%
, 89
 
3.6%
동 88
 
3.5%
시 86
 
3.4%
경 82
 
3.3%
남 82
 
3.3%
Other values (105) 1215
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1370
54.7%
Space Separator 440
 
17.6%
Decimal Number 415
 
16.6%
Other Punctuation 89
 
3.6%
Close Punctuation 82
 
3.3%
Open Punctuation 82
 
3.3%
Dash Punctuation 15
 
0.6%
Lowercase Letter 7
 
0.3%
Math Symbol 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 99
 
7.2%
거 97
 
7.1%
상 94
 
6.9%
동 88
 
6.4%
시 86
 
6.3%
경 82
 
6.0%
남 82
 
6.0%
도 82
 
6.0%
로 78
 
5.7%
층 61
 
4.5%
Other values (82) 521
38.0%
Decimal Number
ValueCountFrequency (%)
1 131
31.6%
2 74
17.8%
3 45
 
10.8%
0 36
 
8.7%
4 34
 
8.2%
6 31
 
7.5%
5 26
 
6.3%
7 17
 
4.1%
8 11
 
2.7%
9 10
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
p 1
14.3%
r 1
14.3%
o 1
14.3%
v 1
14.3%
i 1
14.3%
Space Separator
ValueCountFrequency (%)
440
100.0%
Other Punctuation
ValueCountFrequency (%)
, 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1370
54.7%
Common 1125
44.9%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 99
 
7.2%
거 97
 
7.1%
상 94
 
6.9%
동 88
 
6.4%
시 86
 
6.3%
경 82
 
6.0%
남 82
 
6.0%
도 82
 
6.0%
로 78
 
5.7%
층 61
 
4.5%
Other values (82) 521
38.0%
Common
ValueCountFrequency (%)
440
39.1%
1 131
 
11.6%
, 89
 
7.9%
) 82
 
7.3%
( 82
 
7.3%
2 74
 
6.6%
3 45
 
4.0%
0 36
 
3.2%
4 34
 
3.0%
6 31
 
2.8%
Other values (6) 81
 
7.2%
Latin
ValueCountFrequency (%)
l 2
25.0%
p 1
12.5%
r 1
12.5%
o 1
12.5%
v 1
12.5%
i 1
12.5%
B 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1370
54.7%
ASCII 1133
45.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
440
38.8%
1 131
 
11.6%
, 89
 
7.9%
) 82
 
7.2%
( 82
 
7.2%
2 74
 
6.5%
3 45
 
4.0%
0 36
 
3.2%
4 34
 
3.0%
6 31
 
2.7%
Other values (13) 89
 
7.9%
Hangul
ValueCountFrequency (%)
제 99
 
7.2%
거 97
 
7.1%
상 94
 
6.9%
동 88
 
6.4%
시 86
 
6.3%
경 82
 
6.0%
남 82
 
6.0%
도 82
 
6.0%
로 78
 
5.7%
층 61
 
4.5%
Other values (82) 521
38.0%

영업소소재지(지번)
Text

Distinct80
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size788.0 B
2023-12-11T09:56:53.334586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length21.829268
Min length17

Characters and Unicode

Total characters1790
Distinct characters79
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

Unique78 ?
Unique (%)95.1%

Sample

1st row경상남도 거제시 고현동 1009-2
2nd row경상남도 거제시 장평동 346-25 2층
3rd row경상남도 거제시 고현동 961-25 동주빌딩 5층
4th row경상남도 거제시 옥포동 550-22
5th row경상남도 거제시 상동동 436-13
ValueCountFrequency (%)
경상남도 82
22.1%
거제시 82
22.1%
고현동 26
 
7.0%
옥포동 16
 
4.3%
장평동 14
 
3.8%
능포동 7
 
1.9%
아주동 7
 
1.9%
2층 6
 
1.6%
수월동 3
 
0.8%
201호 3
 
0.8%
Other values (113) 125
33.7%
2023-12-11T09:56:53.782103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
365
20.4%
1 99
 
5.5%
상 88
 
4.9%
제 85
 
4.7%
시 84
 
4.7%
동 84
 
4.7%
거 83
 
4.6%
경 82
 
4.6%
남 82
 
4.6%
도 82
 
4.6%
Other values (69) 656
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
51.7%
Decimal Number 415
23.2%
Space Separator 365
 
20.4%
Dash Punctuation 77
 
4.3%
Lowercase Letter 7
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 88
9.5%
제 85
9.2%
시 84
9.1%
동 84
9.1%
거 83
9.0%
경 82
8.9%
남 82
8.9%
도 82
8.9%
현 28
 
3.0%
고 27
 
2.9%
Other values (50) 200
21.6%
Decimal Number
ValueCountFrequency (%)
1 99
23.9%
2 48
11.6%
6 45
10.8%
3 42
10.1%
5 41
9.9%
9 39
 
9.4%
0 33
 
8.0%
7 32
 
7.7%
4 21
 
5.1%
8 15
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
i 1
14.3%
v 1
14.3%
o 1
14.3%
r 1
14.3%
p 1
14.3%
Space Separator
ValueCountFrequency (%)
365
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
51.7%
Common 858
47.9%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 88
9.5%
제 85
9.2%
시 84
9.1%
동 84
9.1%
거 83
9.0%
경 82
8.9%
남 82
8.9%
도 82
8.9%
현 28
 
3.0%
고 27
 
2.9%
Other values (50) 200
21.6%
Common
ValueCountFrequency (%)
365
42.5%
1 99
 
11.5%
- 77
 
9.0%
2 48
 
5.6%
6 45
 
5.2%
3 42
 
4.9%
5 41
 
4.8%
9 39
 
4.5%
0 33
 
3.8%
7 32
 
3.7%
Other values (3) 37
 
4.3%
Latin
ValueCountFrequency (%)
l 2
28.6%
i 1
14.3%
v 1
14.3%
o 1
14.3%
r 1
14.3%
p 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
51.7%
ASCII 865
48.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
365
42.2%
1 99
 
11.4%
- 77
 
8.9%
2 48
 
5.5%
6 45
 
5.2%
3 42
 
4.9%
5 41
 
4.7%
9 39
 
4.5%
0 33
 
3.8%
7 32
 
3.7%
Other values (9) 44
 
5.1%
Hangul
ValueCountFrequency (%)
상 88
9.5%
제 85
9.2%
시 84
9.1%
동 84
9.1%
거 83
9.0%
경 82
8.9%
남 82
8.9%
도 82
8.9%
현 28
 
3.0%
고 27
 
2.9%
Other values (50) 200
21.6%

경도
Real number (ℝ)

Distinct80
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.65436
Minimum128.47795
Maximum128.73317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-11T09:56:53.946294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47795
5-th percentile128.61149
Q1128.62309
median128.62673
Q3128.69325
95-th percentile128.73078
Maximum128.73317
Range0.2552136
Interquartile range (IQR)0.07015915

Descriptive statistics

Standard deviation0.046514842
Coefficient of variation (CV)0.00036154891
Kurtosis0.90449435
Mean128.65436
Median Absolute Deviation (MAD)0.0150806
Skewness-0.25077701
Sum10549.657
Variance0.0021636306
MonotonicityNot monotonic
2023-12-11T09:56:54.336846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.7307819 2
 
2.4%
128.6913196 2
 
2.4%
128.6269617 1
 
1.2%
128.6212595 1
 
1.2%
128.7317506 1
 
1.2%
128.6868614 1
 
1.2%
128.4779532 1
 
1.2%
128.6231647 1
 
1.2%
128.624783 1
 
1.2%
128.6246535 1
 
1.2%
Other values (70) 70
85.4%
ValueCountFrequency (%)
128.4779532 1
1.2%
128.5886516 1
1.2%
128.6046261 1
1.2%
128.6108935 1
1.2%
128.6114765 1
1.2%
128.6118154 1
1.2%
128.6131302 1
1.2%
128.6135091 1
1.2%
128.6136597 1
1.2%
128.613671 1
1.2%
ValueCountFrequency (%)
128.7331668 1
1.2%
128.7329801 1
1.2%
128.7320492 1
1.2%
128.7317506 1
1.2%
128.7307819 2
2.4%
128.7307631 1
1.2%
128.7269086 1
1.2%
128.7250552 1
1.2%
128.7033934 1
1.2%
128.702258 1
1.2%

위도
Real number (ℝ)

Distinct79
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.884828
Minimum34.831273
Maximum34.896939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-11T09:56:54.463100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.831273
5-th percentile34.866479
Q134.879154
median34.889678
Q334.892241
95-th percentile34.894514
Maximum34.896939
Range0.06566613
Interquartile range (IQR)0.013087498

Descriptive statistics

Standard deviation0.012240503
Coefficient of variation (CV)0.00035088329
Kurtosis5.2271066
Mean34.884828
Median Absolute Deviation (MAD)0.00298107
Skewness-2.1205948
Sum2860.5559
Variance0.00014982992
MonotonicityNot monotonic
2023-12-11T09:56:54.600005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.88977189 2
 
2.4%
34.8867067 2
 
2.4%
34.87460419 2
 
2.4%
34.8934549 1
 
1.2%
34.88715612 1
 
1.2%
34.87546807 1
 
1.2%
34.8664737 1
 
1.2%
34.88242783 1
 
1.2%
34.88884422 1
 
1.2%
34.88604207 1
 
1.2%
Other values (69) 69
84.1%
ValueCountFrequency (%)
34.83127305 1
1.2%
34.84355649 1
1.2%
34.84829227 1
1.2%
34.86370292 1
1.2%
34.8664737 1
1.2%
34.86657833 1
1.2%
34.86682324 1
1.2%
34.86715287 1
1.2%
34.86728309 1
1.2%
34.867314 1
1.2%
ValueCountFrequency (%)
34.89693918 1
1.2%
34.8969224 1
1.2%
34.89601763 1
1.2%
34.89557895 1
1.2%
34.89452216 1
1.2%
34.8943613 1
1.2%
34.89430585 1
1.2%
34.8940095 1
1.2%
34.8937018 1
1.2%
34.89354905 1
1.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size788.0 B
2021-05-04
82 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-05-04
2nd row2021-05-04
3rd row2021-05-04
4th row2021-05-04
5th row2021-05-04

Common Values

ValueCountFrequency (%)
2021-05-04 82
100.0%

Length

2023-12-11T09:56:54.730428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:56:54.827794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-05-04 82
100.0%

Interactions

2023-12-11T09:56:50.497370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:50.026977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:50.261099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:50.606765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:50.106406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:50.337371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:50.676545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:50.179279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:50.409353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:56:54.909528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명등록(신고)일자상호영업소소재지(도로명)영업소소재지(지번)경도위도
연번1.0000.8391.0001.0001.0000.8690.4860.227
업종명0.8391.0001.0001.0001.0000.0000.0000.000
등록(신고)일자1.0001.0001.0001.0001.0000.9870.9890.927
상호1.0001.0001.0001.0001.0001.0001.0001.000
영업소소재지(도로명)1.0001.0001.0001.0001.0001.0001.0001.000
영업소소재지(지번)0.8690.0000.9871.0001.0001.0001.0001.000
경도0.4860.0000.9891.0001.0001.0001.0000.742
위도0.2270.0000.9271.0001.0001.0000.7421.000
2023-12-11T09:56:55.105785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번경도위도업종명
연번1.000-0.0160.0220.653
경도-0.0161.000-0.2030.074
위도0.022-0.2031.0000.000
업종명0.6530.0740.0001.000

Missing values

2023-12-11T09:56:50.794235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:56:50.915785image/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

연번업종명등록(신고)일자상호영업소소재지(도로명)영업소소재지(지번)경도위도데이터기준일자
01인터넷컴퓨터게임시설제공업2007-07-25블루넷 PC방경상남도 거제시 중곡로1길 36-5, 2층 (고현동)경상남도 거제시 고현동 1009-2128.62696234.8934552021-05-04
12인터넷컴퓨터게임시설제공업2007-09-17MX5경상남도 거제시 장평3로7길 31 (장평동,(2층))경상남도 거제시 장평동 346-25 2층128.60462634.8927122021-05-04
23인터넷컴퓨터게임시설제공업2007-10-04메트로 PC방경상남도 거제시 거제중앙로 1913 (고현동,동주빌딩 5층)경상남도 거제시 고현동 961-25 동주빌딩 5층128.62261134.8889042021-05-04
34인터넷컴퓨터게임시설제공업2007-10-24짱pc방경상남도 거제시 옥포대첩로2길 48 (옥포동)경상남도 거제시 옥포동 550-22128.6913234.8897722021-05-04
45인터넷컴퓨터게임시설제공업2007-10-24피씨토랑 거제본점 2호점경상남도 거제시 거제중앙로 1766, 1층 (상동동)경상남도 거제시 상동동 436-13128.62972734.8769412021-05-04
56인터넷컴퓨터게임시설제공업2007-11-16스펀지 PC방경상남도 거제시 장평로 37 (장평동,장평종합상가 2층 278호)경상남도 거제시 장평동 56-1 장평종합상가 2층 278호128.6131334.8908562021-05-04
67인터넷컴퓨터게임시설제공업2007-12-21넷토피아 PC방경상남도 거제시 거제면 기성로 6, 1층경상남도 거제시 거제면 서정리 766-1128.58865234.8482922021-05-04
78인터넷컴퓨터게임시설제공업2008-02-04엔터PC방경상남도 거제시 능포로 146, 3층 309호 (능포동, 동림상가)경상남도 거제시 능포동 660-8 3층 309호128.73204934.8764882021-05-04
89인터넷컴퓨터게임시설제공업2008-03-13N-TER PC방경상남도 거제시 옥포로6길 35 (옥포동)경상남도 거제시 옥포동 603-2128.69552234.8925242021-05-04
910인터넷컴퓨터게임시설제공업2008-05-07해피로PC경상남도 거제시 옥포로 237-1, 2층 (옥포동)경상남도 거제시 옥포동 514-12128.69028734.8960182021-05-04
연번업종명등록(신고)일자상호영업소소재지(도로명)영업소소재지(지번)경도위도데이터기준일자
7273청소년게임제공업2018-05-11추억의오락실게임존경상남도 거제시 장승로 146-5, 1층 (장승포동)경상남도 거제시 장승포동 692-3128.72505534.8671532021-05-04
7374청소년게임제공업2019-02-01라크씨엘경상남도 거제시 수양로 448-21, 세정빌딩 2층 (수월동)경상남도 거제시 수월동 1110-3128.64209234.894012021-05-04
7475청소년게임제공업2019-03-14펀존게임랜드(옥포점)경상남도 거제시 옥포로6길 32, 1,2층 (옥포동)경상남도 거제시 옥포동 1914-9128.69586334.8922842021-05-04
7576청소년게임제공업2019-04-09라크씨엘(상동점)경상남도 거제시 상동5길 84, 3층 (상동동)경상남도 거제시 상동동 910-16128.6312634.8637032021-05-04
7677청소년게임제공업2019-10-14벽산게임랜드경상남도 거제시 고현로10길 8, 102호 (고현동)경상남도 거제시 고현동 44-5128.61447134.886832021-05-04
7778청소년게임제공업2019-10-23화성침공경상남도 거제시 고현천로 10, 고현시외버스터미널 가동 1층 (고현동)경상남도 거제시 고현동 979-1 고현시외버스터미널128.62432934.8910642021-05-04
7879청소년게임제공업2020-03-06피앤피(PNP)경상남도 거제시 고현로11길 13, 1층 (고현동)경상남도 거제시 고현동 961-164128.6245534.8885022021-05-04
7980청소년게임제공업2020-10-12토이월드경상남도 거제시 옥포대첩로 59, 수협 부속건물호 (옥포동)경상남도 거제시 옥포동 532-27 수협128.69401134.8943612021-05-04
8081청소년게임제공업2020-10-12뽑고놀고2경상남도 거제시 옥포로 250, 옥현시장 122호 (옥포동)경상남도 거제시 옥포동 1293-1 옥현시장128.68987434.8969222021-05-04
8182청소년게임제공업2020-11-23홈런짱게임랜드경상남도 거제시 장평로4길 16, 102호 (장평동)경상남도 거제시 장평동 1195-6128.61441634.8925852021-05-04