Overview

Dataset statistics

Number of variables9
Number of observations108
Missing cells3
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory76.2 B

Variable types

Numeric3
Categorical2
Text3
DateTime1

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
No is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with NoHigh correlation
영업소소재지(도로명) has 3 (2.8%) missing valuesMissing
No has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:56:41.613553
Analysis finished2023-12-11 00:56:43.204516
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

No
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.5
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T09:56:43.321399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.35
Q127.75
median54.5
Q381.25
95-th percentile102.65
Maximum108
Range107
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation31.32092
Coefficient of variation (CV)0.57469577
Kurtosis-1.2
Mean54.5
Median Absolute Deviation (MAD)27
Skewness0
Sum5886
Variance981
MonotonicityStrictly increasing
2023-12-11T09:56:43.482291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%

업종명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size996.0 B
인터넷컴퓨터게임시설제공업
76 
청소년게임제공업
23 
복합유통게임제공업
8 
일반게임제공업
 
1

Length

Max length13
Median length13
Mean length11.583333
Min length7

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 76
70.4%
청소년게임제공업 23
 
21.3%
복합유통게임제공업 8
 
7.4%
일반게임제공업 1
 
0.9%

Length

2023-12-11T09:56:43.650993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:56:43.776410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 76
70.4%
청소년게임제공업 23
 
21.3%
복합유통게임제공업 8
 
7.4%
일반게임제공업 1
 
0.9%

상호
Text

Distinct103
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T09:56:44.034106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length6.6296296
Min length2

Characters and Unicode

Total characters716
Distinct characters174
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

Unique98 ?
Unique (%)90.7%

Sample

1st row블루넷 PC방
2nd rowMX5
3rd row메트로 PC방
4th row짱pc방
5th row피씨토랑 거제본점 2호점
ValueCountFrequency (%)
pc방 8
 
6.0%
바닐라pc방 2
 
1.5%
뽑고놀고 2
 
1.5%
pc존 2
 
1.5%
2호점 2
 
1.5%
대박pc 2
 
1.5%
짱pc방 2
 
1.5%
pc 2
 
1.5%
보물pc 2
 
1.5%
엔터pc방 2
 
1.5%
Other values (107) 108
80.6%
2023-12-11T09:56:44.453392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 68
 
9.5%
C 68
 
9.5%
방 39
 
5.4%
26
 
3.6%
점 23
 
3.2%
스 19
 
2.7%
이 16
 
2.2%
) 15
 
2.1%
( 15
 
2.1%
피 12
 
1.7%
Other values (164) 415
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 494
69.0%
Uppercase Letter 146
 
20.4%
Space Separator 26
 
3.6%
Close Punctuation 15
 
2.1%
Open Punctuation 15
 
2.1%
Lowercase Letter 13
 
1.8%
Decimal Number 6
 
0.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 39
 
7.9%
점 23
 
4.7%
스 19
 
3.8%
이 16
 
3.2%
피 12
 
2.4%
게 12
 
2.4%
아 12
 
2.4%
고 11
 
2.2%
존 11
 
2.2%
제 11
 
2.2%
Other values (139) 328
66.4%
Uppercase Letter
ValueCountFrequency (%)
P 68
46.6%
C 68
46.6%
M 2
 
1.4%
T 2
 
1.4%
G 1
 
0.7%
N 1
 
0.7%
O 1
 
0.7%
E 1
 
0.7%
R 1
 
0.7%
X 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
p 5
38.5%
c 4
30.8%
z 1
 
7.7%
o 1
 
7.7%
n 1
 
7.7%
e 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
9 1
16.7%
3 1
16.7%
6 1
16.7%
5 1
16.7%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 494
69.0%
Latin 159
 
22.2%
Common 63
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 39
 
7.9%
점 23
 
4.7%
스 19
 
3.8%
이 16
 
3.2%
피 12
 
2.4%
게 12
 
2.4%
아 12
 
2.4%
고 11
 
2.2%
존 11
 
2.2%
제 11
 
2.2%
Other values (139) 328
66.4%
Latin
ValueCountFrequency (%)
P 68
42.8%
C 68
42.8%
p 5
 
3.1%
c 4
 
2.5%
M 2
 
1.3%
T 2
 
1.3%
G 1
 
0.6%
N 1
 
0.6%
O 1
 
0.6%
z 1
 
0.6%
Other values (6) 6
 
3.8%
Common
ValueCountFrequency (%)
26
41.3%
) 15
23.8%
( 15
23.8%
2 2
 
3.2%
- 1
 
1.6%
9 1
 
1.6%
3 1
 
1.6%
6 1
 
1.6%
5 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 494
69.0%
ASCII 222
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 68
30.6%
C 68
30.6%
26
 
11.7%
) 15
 
6.8%
( 15
 
6.8%
p 5
 
2.3%
c 4
 
1.8%
2 2
 
0.9%
M 2
 
0.9%
T 2
 
0.9%
Other values (15) 15
 
6.8%
Hangul
ValueCountFrequency (%)
방 39
 
7.9%
점 23
 
4.7%
스 19
 
3.8%
이 16
 
3.2%
피 12
 
2.4%
게 12
 
2.4%
아 12
 
2.4%
고 11
 
2.2%
존 11
 
2.2%
제 11
 
2.2%
Other values (139) 328
66.4%

영업소소재지(도로명)
Text

MISSING 

Distinct105
Distinct (%)100.0%
Missing3
Missing (%)2.8%
Memory size996.0 B
2023-12-11T09:56:44.770603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length41
Mean length30.152381
Min length20

Characters and Unicode

Total characters3166
Distinct characters125
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

Unique105 ?
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 105
 
16.1%
거제시 105
 
16.1%
고현동 29
 
4.4%
1층 26
 
4.0%
2층 20
 
3.1%
옥포동 15
 
2.3%
장평동 13
 
2.0%
능포동 10
 
1.5%
아주동 9
 
1.4%
능포로 8
 
1.2%
Other values (194) 313
47.9%
2023-12-11T09:56:45.224137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
555
 
17.5%
1 160
 
5.1%
제 128
 
4.0%
거 127
 
4.0%
, 115
 
3.6%
상 115
 
3.6%
시 108
 
3.4%
남 106
 
3.3%
경 105
 
3.3%
) 105
 
3.3%
Other values (115) 1542
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1720
54.3%
Space Separator 555
 
17.5%
Decimal Number 541
 
17.1%
Other Punctuation 115
 
3.6%
Close Punctuation 105
 
3.3%
Open Punctuation 105
 
3.3%
Dash Punctuation 17
 
0.5%
Uppercase Letter 6
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 128
 
7.4%
거 127
 
7.4%
상 115
 
6.7%
시 108
 
6.3%
남 106
 
6.2%
경 105
 
6.1%
도 105
 
6.1%
동 104
 
6.0%
로 101
 
5.9%
층 82
 
4.8%
Other values (98) 639
37.2%
Decimal Number
ValueCountFrequency (%)
1 160
29.6%
2 85
15.7%
3 66
12.2%
0 52
 
9.6%
4 49
 
9.1%
6 42
 
7.8%
5 39
 
7.2%
8 20
 
3.7%
7 15
 
2.8%
9 13
 
2.4%
Space Separator
ValueCountFrequency (%)
555
100.0%
Other Punctuation
ValueCountFrequency (%)
, 115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1720
54.3%
Common 1440
45.5%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 128
 
7.4%
거 127
 
7.4%
상 115
 
6.7%
시 108
 
6.3%
남 106
 
6.2%
경 105
 
6.1%
도 105
 
6.1%
동 104
 
6.0%
로 101
 
5.9%
층 82
 
4.8%
Other values (98) 639
37.2%
Common
ValueCountFrequency (%)
555
38.5%
1 160
 
11.1%
, 115
 
8.0%
) 105
 
7.3%
( 105
 
7.3%
2 85
 
5.9%
3 66
 
4.6%
0 52
 
3.6%
4 49
 
3.4%
6 42
 
2.9%
Other values (6) 106
 
7.4%
Latin
ValueCountFrequency (%)
B 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1720
54.3%
ASCII 1446
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
555
38.4%
1 160
 
11.1%
, 115
 
8.0%
) 105
 
7.3%
( 105
 
7.3%
2 85
 
5.9%
3 66
 
4.6%
0 52
 
3.6%
4 49
 
3.4%
6 42
 
2.9%
Other values (7) 112
 
7.7%
Hangul
ValueCountFrequency (%)
제 128
 
7.4%
거 127
 
7.4%
상 115
 
6.7%
시 108
 
6.3%
남 106
 
6.2%
경 105
 
6.1%
도 105
 
6.1%
동 104
 
6.0%
로 101
 
5.9%
층 82
 
4.8%
Other values (98) 639
37.2%

영업소소재지(지번)
Text

Distinct105
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T09:56:45.840928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length34
Mean length23.259259
Min length18

Characters and Unicode

Total characters2512
Distinct characters91
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

Unique102 ?
Unique (%)94.4%

Sample

1st row경상남도 거제시 고현동 1009-2번지
2nd row경상남도 거제시 장평동 346-25번지 (2층)
3rd row경상남도 거제시 고현동 961-25번지 동주빌딩 5층
4th row경상남도 거제시 옥포동 550-22번지
5th row경상남도 거제시 상동동 436-13번지
ValueCountFrequency (%)
경상남도 108
21.8%
거제시 108
21.8%
고현동 34
 
6.9%
옥포동 16
 
3.2%
장평동 16
 
3.2%
능포동 11
 
2.2%
2층 10
 
2.0%
아주동 10
 
2.0%
장승포동 5
 
1.0%
일운면 4
 
0.8%
Other values (139) 173
34.9%
2023-12-11T09:56:46.349962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
389
 
15.5%
1 133
 
5.3%
지 114
 
4.5%
상 113
 
4.5%
제 112
 
4.5%
거 110
 
4.4%
시 110
 
4.4%
경 108
 
4.3%
남 108
 
4.3%
도 108
 
4.3%
Other values (81) 1107
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1440
57.3%
Decimal Number 559
 
22.3%
Space Separator 389
 
15.5%
Dash Punctuation 97
 
3.9%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Other Punctuation 6
 
0.2%
Uppercase Letter 5
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 114
 
7.9%
상 113
 
7.8%
제 112
 
7.8%
거 110
 
7.6%
시 110
 
7.6%
경 108
 
7.5%
남 108
 
7.5%
도 108
 
7.5%
번 107
 
7.4%
동 106
 
7.4%
Other values (64) 344
23.9%
Decimal Number
ValueCountFrequency (%)
1 133
23.8%
6 64
11.4%
2 63
11.3%
5 53
 
9.5%
0 48
 
8.6%
9 47
 
8.4%
3 46
 
8.2%
7 40
 
7.2%
4 33
 
5.9%
8 32
 
5.7%
Space Separator
ValueCountFrequency (%)
389
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1440
57.3%
Common 1067
42.5%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 114
 
7.9%
상 113
 
7.8%
제 112
 
7.8%
거 110
 
7.6%
시 110
 
7.6%
경 108
 
7.5%
남 108
 
7.5%
도 108
 
7.5%
번 107
 
7.4%
동 106
 
7.4%
Other values (64) 344
23.9%
Common
ValueCountFrequency (%)
389
36.5%
1 133
 
12.5%
- 97
 
9.1%
6 64
 
6.0%
2 63
 
5.9%
5 53
 
5.0%
0 48
 
4.5%
9 47
 
4.4%
3 46
 
4.3%
7 40
 
3.7%
Other values (6) 87
 
8.2%
Latin
ValueCountFrequency (%)
B 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1440
57.3%
ASCII 1072
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
389
36.3%
1 133
 
12.4%
- 97
 
9.0%
6 64
 
6.0%
2 63
 
5.9%
5 53
 
4.9%
0 48
 
4.5%
9 47
 
4.4%
3 46
 
4.3%
7 40
 
3.7%
Other values (7) 92
 
8.6%
Hangul
ValueCountFrequency (%)
지 114
 
7.9%
상 113
 
7.8%
제 112
 
7.8%
거 110
 
7.6%
시 110
 
7.6%
경 108
 
7.5%
남 108
 
7.5%
도 108
 
7.5%
번 107
 
7.4%
동 106
 
7.4%
Other values (64) 344
23.9%

등록(신고)일자
Date

Distinct101
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum2007-07-25 00:00:00
Maximum2019-01-02 00:00:00
2023-12-11T09:56:46.507333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:46.651629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

경도
Real number (ℝ)

Distinct99
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.65311
Minimum128.47795
Maximum128.73298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T09:56:46.827008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47795
5-th percentile128.60475
Q1128.62266
median128.62673
Q3128.69355
95-th percentile128.73169
Maximum128.73298
Range0.2550269
Interquartile range (IQR)0.0708962

Descriptive statistics

Standard deviation0.053036879
Coefficient of variation (CV)0.00041224717
Kurtosis1.3447534
Mean128.65311
Median Absolute Deviation (MAD)0.01715135
Skewness-0.60560466
Sum13894.536
Variance0.0028129105
MonotonicityNot monotonic
2023-12-11T09:56:46.981171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.7307819 2
 
1.9%
128.6144712 2
 
1.9%
128.6935341 2
 
1.9%
128.7033934 2
 
1.9%
128.6248456 2
 
1.9%
128.6899314 2
 
1.9%
128.6246535 2
 
1.9%
128.6249815 2
 
1.9%
128.6247039 2
 
1.9%
128.6285824 1
 
0.9%
Other values (89) 89
82.4%
ValueCountFrequency (%)
128.4779532 1
0.9%
128.477998 1
0.9%
128.478878 1
0.9%
128.5883631 1
0.9%
128.5886516 1
0.9%
128.6046261 1
0.9%
128.6049724 1
0.9%
128.6082569 1
0.9%
128.6108935 1
0.9%
128.6111214 1
0.9%
ValueCountFrequency (%)
128.7329801 1
0.9%
128.7322261 1
0.9%
128.7322039 1
0.9%
128.7321496 1
0.9%
128.7320492 1
0.9%
128.7317506 1
0.9%
128.7315838 1
0.9%
128.7308978 1
0.9%
128.7307848 1
0.9%
128.7307819 2
1.9%

위도
Real number (ℝ)

Distinct99
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.882458
Minimum34.831273
Maximum34.897882
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T09:56:47.113602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.831273
5-th percentile34.85089
Q134.875677
median34.88888
Q334.891825
95-th percentile34.894306
Maximum34.897882
Range0.06660905
Interquartile range (IQR)0.016147963

Descriptive statistics

Standard deviation0.01391837
Coefficient of variation (CV)0.0003990077
Kurtosis2.7770047
Mean34.882458
Median Absolute Deviation (MAD)0.0042951
Skewness-1.6963976
Sum3767.3055
Variance0.00019372101
MonotonicityNot monotonic
2023-12-11T09:56:47.275305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.87460419 2
 
1.9%
34.88683037 2
 
1.9%
34.89430585 2
 
1.9%
34.84355649 2
 
1.9%
34.8890424 2
 
1.9%
34.89693918 2
 
1.9%
34.8899927 2
 
1.9%
34.88876646 2
 
1.9%
34.88930397 2
 
1.9%
34.87700217 1
 
0.9%
Other values (89) 89
82.4%
ValueCountFrequency (%)
34.83127305 1
0.9%
34.83301929 1
0.9%
34.84355649 2
1.9%
34.84829227 1
0.9%
34.84911639 1
0.9%
34.85418464 1
0.9%
34.86161615 1
0.9%
34.86242108 1
0.9%
34.8664737 1
0.9%
34.86655885 1
0.9%
ValueCountFrequency (%)
34.8978821 1
0.9%
34.89693918 2
1.9%
34.89601763 1
0.9%
34.89557895 1
0.9%
34.89430585 2
1.9%
34.89364269 1
0.9%
34.89354905 1
0.9%
34.8934549 1
0.9%
34.89336792 1
0.9%
34.89328709 1
0.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
2019-01-31
108 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-01-31
2nd row2019-01-31
3rd row2019-01-31
4th row2019-01-31
5th row2019-01-31

Common Values

ValueCountFrequency (%)
2019-01-31 108
100.0%

Length

2023-12-11T09:56:47.433299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:56:47.541000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-01-31 108
100.0%

Interactions

2023-12-11T09:56:42.678959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:42.098427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:42.373185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:42.787828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:42.192095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:42.460159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:42.884503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:42.273694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:56:42.566850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:56:47.599308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No업종명경도위도
No1.0000.8780.0000.241
업종명0.8781.0000.0000.000
경도0.0000.0001.0000.810
위도0.2410.0000.8101.000
2023-12-11T09:56:47.696133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
No경도위도업종명
No1.000-0.034-0.0230.721
경도-0.0341.000-0.3400.000
위도-0.023-0.3401.0000.000
업종명0.7210.0000.0001.000

Missing values

2023-12-11T09:56:43.010471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:56:43.146362image/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

No업종명상호영업소소재지(도로명)영업소소재지(지번)등록(신고)일자경도위도데이터기준일자
01인터넷컴퓨터게임시설제공업블루넷 PC방경상남도 거제시 중곡로1길 36-5, 2층 (고현동)경상남도 거제시 고현동 1009-2번지2007-07-25128.62696234.8934552019-01-31
12인터넷컴퓨터게임시설제공업MX5경상남도 거제시 장평3로7길 31 (장평동,(2층))경상남도 거제시 장평동 346-25번지 (2층)2007-09-17128.60462634.8927122019-01-31
23인터넷컴퓨터게임시설제공업메트로 PC방경상남도 거제시 거제중앙로 1913 (고현동,동주빌딩 5층)경상남도 거제시 고현동 961-25번지 동주빌딩 5층2007-10-04128.62261134.8889042019-01-31
34인터넷컴퓨터게임시설제공업짱pc방경상남도 거제시 옥포대첩로2길 48 (옥포동)경상남도 거제시 옥포동 550-22번지2007-10-24128.6913234.8897722019-01-31
45인터넷컴퓨터게임시설제공업피씨토랑 거제본점 2호점경상남도 거제시 거제중앙로 1766, 1층 (상동동)경상남도 거제시 상동동 436-13번지2007-10-24128.62972734.8769412019-01-31
56인터넷컴퓨터게임시설제공업옥림 PC방<NA>경상남도 거제시 장승포동 649-14번지2007-11-14128.7206534.8541852019-01-31
67인터넷컴퓨터게임시설제공업스펀지 PC방경상남도 거제시 장평로 37 (장평동,장평종합상가 2층 278호)경상남도 거제시 장평동 56-1번지 장평종합상가 2층 278호2007-11-16128.6131334.8908562019-01-31
78인터넷컴퓨터게임시설제공업프리존PC방경상남도 거제시 옥포대첩로2길 54 (옥포동,2층 201호)경상남도 거제시 옥포동 550-18번지 2층 201호2007-11-20128.69179234.8892652019-01-31
89인터넷컴퓨터게임시설제공업넷토피아 PC방경상남도 거제시 거제면 기성로 6, 1층경상남도 거제시 거제면 서정리 766-1번지2007-12-21128.58865234.8482922019-01-31
910인터넷컴퓨터게임시설제공업엔터PC방경상남도 거제시 능포로 146, 3층 309호 (능포동, 동림상가)경상남도 거제시 능포동 660-8번지2008-02-04128.73204934.8764882019-01-31
No업종명상호영업소소재지(도로명)영업소소재지(지번)등록(신고)일자경도위도데이터기준일자
9899청소년게임제공업토이짱경상남도 거제시 옥포성안로 60, 1층 (옥포동)경상남도 거제시 옥포동 582번지 1층2018-02-28128.69488834.891732019-01-31
99100청소년게임제공업뽑기를찾는사람들경상남도 거제시 고현천로 34, 1층 (고현동)경상남도 거제시 고현동 29-21번지 1층2018-03-02128.62534434.8888572019-01-31
100101청소년게임제공업펀존경상남도 거제시 아주1로2길 19, 101,102,103호 (아주동)경상남도 거제시 아주동 1690-5번지2018-03-12128.69003434.8672832019-01-31
101102청소년게임제공업추억의오락실게임존경상남도 거제시 장승로 146-5, 1층 (장승포동)경상남도 거제시 장승포동 692-3번지2018-05-11128.72505534.8671532019-01-31
102103청소년게임제공업벽산게임랜드경상남도 거제시 고현로10길 8, 6층 (고현동)경상남도 거제시 고현동 44-5번지2018-10-12128.61447134.886832019-01-31
103104청소년게임제공업로얄게임장경상남도 거제시 장평1로3길 3, 2층 (장평동)경상남도 거제시 장평동 1195-73번지2018-10-12128.616234.8931622019-01-31
104105청소년게임제공업베스트게임랜드경상남도 거제시 고현로11길 18, 회원프라자 1층 103,104,105,106,143,144호 (고현동)경상남도 거제시 고현동 961-59번지 회원프라자2018-10-22128.62484634.8890422019-01-31
105106청소년게임제공업뽑기친구경상남도 거제시 고현로11길 20, 엠파크 1층 109호 (고현동)경상남도 거제시 고현동 961-57번지 엠파크2018-11-28128.62470434.8893042019-01-31
106107청소년게임제공업뽑기의달인경상남도 거제시 거제중앙로24길 9-1, 1층 (고현동)경상남도 거제시 고현동 961-87번지2018-12-13128.62405834.888692019-01-31
107108청소년게임제공업창조게임랜드경상남도 거제시 거제중앙로20길 9, 지하층 101호 (고현동, 창조아파트)경상남도 거제시 고현동 37-35번지 창조아파트2019-01-02128.62519634.8866982019-01-31