Overview

Dataset statistics

Number of variables8
Number of observations110
Missing cells105
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory67.2 B

Variable types

Numeric2
Text4
Categorical1
DateTime1

Dataset

Description인천광역시 계양구 관내 게임 관련업 정보에 대한 데이터로, 연번, 상호명, 영업소 소재지(도로명), 영업소 소재지(지번), 전화번호, 업종명, 게임기수 등을 제공합니다. 전화번호의 경우 핸드폰번호는 개인정보보호로 인하여 미공개합니다.
Author인천광역시 계양구
URLhttps://www.data.go.kr/data/15037971/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
전화번호 has 105 (95.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:18:21.252612
Analysis finished2024-03-16 04:18:22.668188
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.5
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-16T13:18:22.790423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.45
Q128.25
median55.5
Q382.75
95-th percentile104.55
Maximum110
Range109
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation31.898276
Coefficient of variation (CV)0.57474371
Kurtosis-1.2
Mean55.5
Median Absolute Deviation (MAD)27.5
Skewness0
Sum6105
Variance1017.5
MonotonicityStrictly increasing
2024-03-16T13:18:23.044715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
71 1
 
0.9%
82 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%
Other values (100) 100
90.9%
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 (%)
110 1
0.9%
109 1
0.9%
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%

상호
Text

Distinct108
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-03-16T13:18:23.551162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length7.3727273
Min length2

Characters and Unicode

Total characters811
Distinct characters198
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

Unique106 ?
Unique (%)96.4%

Sample

1st row유비쿼터스 PC방
2nd rowOP PC
3rd row제노 PC ZONE
4th row노블
5th row와우 PC방
ValueCountFrequency (%)
pc 49
 
22.8%
pc방 10
 
4.7%
게임랜드 9
 
4.2%
cafe 5
 
2.3%
세븐 3
 
1.4%
애플 2
 
0.9%
pc카페 2
 
0.9%
맥스피드 2
 
0.9%
장동민의 2
 
0.9%
골드pc 2
 
0.9%
Other values (129) 129
60.0%
2024-03-16T13:18:24.580633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
12.9%
C 87
 
10.7%
P 86
 
10.6%
드 27
 
3.3%
임 20
 
2.5%
게 20
 
2.5%
랜 19
 
2.3%
방 18
 
2.2%
스 18
 
2.2%
이 14
 
1.7%
Other values (188) 397
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 418
51.5%
Uppercase Letter 235
29.0%
Space Separator 105
 
12.9%
Lowercase Letter 39
 
4.8%
Decimal Number 5
 
0.6%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 27
 
6.5%
임 20
 
4.8%
게 20
 
4.8%
랜 19
 
4.5%
방 18
 
4.3%
스 18
 
4.3%
이 14
 
3.3%
장 7
 
1.7%
점 6
 
1.4%
다 6
 
1.4%
Other values (144) 263
62.9%
Uppercase Letter
ValueCountFrequency (%)
C 87
37.0%
P 86
36.6%
E 11
 
4.7%
T 6
 
2.6%
A 6
 
2.6%
S 5
 
2.1%
F 4
 
1.7%
O 4
 
1.7%
I 3
 
1.3%
N 3
 
1.3%
Other values (9) 20
 
8.5%
Lowercase Letter
ValueCountFrequency (%)
e 9
23.1%
n 4
10.3%
a 4
10.3%
h 3
 
7.7%
i 3
 
7.7%
c 3
 
7.7%
r 2
 
5.1%
o 2
 
5.1%
t 2
 
5.1%
f 2
 
5.1%
Other values (5) 5
12.8%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
1 1
20.0%
5 1
20.0%
9 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
: 1
50.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 418
51.5%
Latin 274
33.8%
Common 119
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 27
 
6.5%
임 20
 
4.8%
게 20
 
4.8%
랜 19
 
4.5%
방 18
 
4.3%
스 18
 
4.3%
이 14
 
3.3%
장 7
 
1.7%
점 6
 
1.4%
다 6
 
1.4%
Other values (144) 263
62.9%
Latin
ValueCountFrequency (%)
C 87
31.8%
P 86
31.4%
E 11
 
4.0%
e 9
 
3.3%
T 6
 
2.2%
A 6
 
2.2%
S 5
 
1.8%
F 4
 
1.5%
O 4
 
1.5%
n 4
 
1.5%
Other values (24) 52
19.0%
Common
ValueCountFrequency (%)
105
88.2%
( 3
 
2.5%
) 3
 
2.5%
3 2
 
1.7%
- 1
 
0.8%
1 1
 
0.8%
. 1
 
0.8%
: 1
 
0.8%
5 1
 
0.8%
9 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 418
51.5%
ASCII 393
48.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
26.7%
C 87
22.1%
P 86
21.9%
E 11
 
2.8%
e 9
 
2.3%
T 6
 
1.5%
A 6
 
1.5%
S 5
 
1.3%
F 4
 
1.0%
O 4
 
1.0%
Other values (34) 70
17.8%
Hangul
ValueCountFrequency (%)
드 27
 
6.5%
임 20
 
4.8%
게 20
 
4.8%
랜 19
 
4.5%
방 18
 
4.3%
스 18
 
4.3%
이 14
 
3.3%
장 7
 
1.7%
점 6
 
1.4%
다 6
 
1.4%
Other values (144) 263
62.9%

영업소소재지(도로명)
Text

Distinct108
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-03-16T13:18:25.096889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length30.845455
Min length22

Characters and Unicode

Total characters3393
Distinct characters120
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

Unique106 ?
Unique (%)96.4%

Sample

1st row인천광역시 계양구 효서로 73 (효성동)
2nd row인천광역시 계양구 주부토로 541, 501호 (계산동, 계양프라자)
3rd row인천광역시 계양구 효서로 144, 2층 (효성동)
4th row인천광역시 계양구 주부토로 515, 2층 (계산동)
5th row인천광역시 계양구 경명대로 1088, 2층 (계산동)
ValueCountFrequency (%)
인천광역시 110
 
15.8%
계양구 110
 
15.8%
계산동 53
 
7.6%
2층 43
 
6.2%
1층 21
 
3.0%
효성동 20
 
2.9%
작전동 17
 
2.4%
3층 15
 
2.2%
계산천동로 11
 
1.6%
안남로 11
 
1.6%
Other values (166) 285
40.9%
2024-03-16T13:18:26.039705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
586
 
17.3%
계 221
 
6.5%
1 145
 
4.3%
동 135
 
4.0%
천 127
 
3.7%
양 126
 
3.7%
, 115
 
3.4%
광 112
 
3.3%
시 111
 
3.3%
인 110
 
3.2%
Other values (110) 1605
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1945
57.3%
Space Separator 586
 
17.3%
Decimal Number 514
 
15.1%
Other Punctuation 115
 
3.4%
Open Punctuation 110
 
3.2%
Close Punctuation 110
 
3.2%
Dash Punctuation 11
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 221
 
11.4%
동 135
 
6.9%
천 127
 
6.5%
양 126
 
6.5%
광 112
 
5.8%
시 111
 
5.7%
인 110
 
5.7%
역 110
 
5.7%
구 110
 
5.7%
로 110
 
5.7%
Other values (94) 673
34.6%
Decimal Number
ValueCountFrequency (%)
1 145
28.2%
2 94
18.3%
0 50
 
9.7%
4 45
 
8.8%
3 43
 
8.4%
5 34
 
6.6%
7 31
 
6.0%
8 29
 
5.6%
9 26
 
5.1%
6 17
 
3.3%
Space Separator
ValueCountFrequency (%)
586
100.0%
Other Punctuation
ValueCountFrequency (%)
, 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1945
57.3%
Common 1446
42.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 221
 
11.4%
동 135
 
6.9%
천 127
 
6.5%
양 126
 
6.5%
광 112
 
5.8%
시 111
 
5.7%
인 110
 
5.7%
역 110
 
5.7%
구 110
 
5.7%
로 110
 
5.7%
Other values (94) 673
34.6%
Common
ValueCountFrequency (%)
586
40.5%
1 145
 
10.0%
, 115
 
8.0%
( 110
 
7.6%
) 110
 
7.6%
2 94
 
6.5%
0 50
 
3.5%
4 45
 
3.1%
3 43
 
3.0%
5 34
 
2.4%
Other values (5) 114
 
7.9%
Latin
ValueCountFrequency (%)
P 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1945
57.3%
ASCII 1448
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
586
40.5%
1 145
 
10.0%
, 115
 
7.9%
( 110
 
7.6%
) 110
 
7.6%
2 94
 
6.5%
0 50
 
3.5%
4 45
 
3.1%
3 43
 
3.0%
5 34
 
2.3%
Other values (6) 116
 
8.0%
Hangul
ValueCountFrequency (%)
계 221
 
11.4%
동 135
 
6.9%
천 127
 
6.5%
양 126
 
6.5%
광 112
 
5.8%
시 111
 
5.7%
인 110
 
5.7%
역 110
 
5.7%
구 110
 
5.7%
로 110
 
5.7%
Other values (94) 673
34.6%

영업소소재지(지번)
Text

Distinct107
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2024-03-16T13:18:26.748620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length23.590909
Min length18

Characters and Unicode

Total characters2595
Distinct characters91
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)94.5%

Sample

1st row인천광역시 계양구 효성동 581
2nd row인천광역시 계양구 계산동 947 외 1필지 계양프라자 501호
3rd row인천광역시 계양구 효성동 251-1 2층
4th row인천광역시 계양구 계산동 948-6 2층
5th row인천광역시 계양구 계산동 946-10 2층
ValueCountFrequency (%)
인천광역시 110
20.6%
계양구 110
20.6%
계산동 53
 
9.9%
효성동 20
 
3.8%
2층 20
 
3.8%
작전동 17
 
3.2%
임학동 9
 
1.7%
3층 8
 
1.5%
용종동 6
 
1.1%
1층 4
 
0.8%
Other values (147) 176
33.0%
2024-03-16T13:18:27.668455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
511
19.7%
계 166
 
6.4%
양 113
 
4.4%
광 112
 
4.3%
동 112
 
4.3%
인 110
 
4.2%
역 110
 
4.2%
시 110
 
4.2%
구 110
 
4.2%
천 110
 
4.2%
Other values (81) 1031
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1401
54.0%
Decimal Number 582
22.4%
Space Separator 511
 
19.7%
Dash Punctuation 94
 
3.6%
Other Punctuation 3
 
0.1%
Uppercase Letter 2
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 166
11.8%
양 113
 
8.1%
광 112
 
8.0%
동 112
 
8.0%
인 110
 
7.9%
역 110
 
7.9%
시 110
 
7.9%
구 110
 
7.9%
천 110
 
7.9%
산 54
 
3.9%
Other values (66) 294
21.0%
Decimal Number
ValueCountFrequency (%)
2 98
16.8%
1 94
16.2%
6 76
13.1%
9 73
12.5%
0 62
10.7%
3 50
8.6%
7 35
 
6.0%
4 34
 
5.8%
5 33
 
5.7%
8 27
 
4.6%
Space Separator
ValueCountFrequency (%)
511
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1401
54.0%
Common 1192
45.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 166
11.8%
양 113
 
8.1%
광 112
 
8.0%
동 112
 
8.0%
인 110
 
7.9%
역 110
 
7.9%
시 110
 
7.9%
구 110
 
7.9%
천 110
 
7.9%
산 54
 
3.9%
Other values (66) 294
21.0%
Common
ValueCountFrequency (%)
511
42.9%
2 98
 
8.2%
1 94
 
7.9%
- 94
 
7.9%
6 76
 
6.4%
9 73
 
6.1%
0 62
 
5.2%
3 50
 
4.2%
7 35
 
2.9%
4 34
 
2.9%
Other values (4) 65
 
5.5%
Latin
ValueCountFrequency (%)
P 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1401
54.0%
ASCII 1194
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
511
42.8%
2 98
 
8.2%
1 94
 
7.9%
- 94
 
7.9%
6 76
 
6.4%
9 73
 
6.1%
0 62
 
5.2%
3 50
 
4.2%
7 35
 
2.9%
4 34
 
2.8%
Other values (5) 67
 
5.6%
Hangul
ValueCountFrequency (%)
계 166
11.8%
양 113
 
8.1%
광 112
 
8.0%
동 112
 
8.0%
인 110
 
7.9%
역 110
 
7.9%
시 110
 
7.9%
구 110
 
7.9%
천 110
 
7.9%
산 54
 
3.9%
Other values (66) 294
21.0%

전화번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing105
Missing (%)95.5%
Memory size1012.0 B
2024-03-16T13:18:27.953794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters60
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row032-541-0647
2nd row032-544-1436
3rd row032-545-8053
4th row032-549-7092
5th row032-505-9134
ValueCountFrequency (%)
032-541-0647 1
20.0%
032-544-1436 1
20.0%
032-545-8053 1
20.0%
032-549-7092 1
20.0%
032-505-9134 1
20.0%
2024-03-16T13:18:28.416730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 10
16.7%
0 9
15.0%
3 8
13.3%
5 8
13.3%
4 8
13.3%
2 6
10.0%
1 3
 
5.0%
9 3
 
5.0%
6 2
 
3.3%
7 2
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50
83.3%
Dash Punctuation 10
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
18.0%
3 8
16.0%
5 8
16.0%
4 8
16.0%
2 6
12.0%
1 3
 
6.0%
9 3
 
6.0%
6 2
 
4.0%
7 2
 
4.0%
8 1
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 10
16.7%
0 9
15.0%
3 8
13.3%
5 8
13.3%
4 8
13.3%
2 6
10.0%
1 3
 
5.0%
9 3
 
5.0%
6 2
 
3.3%
7 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 10
16.7%
0 9
15.0%
3 8
13.3%
5 8
13.3%
4 8
13.3%
2 6
10.0%
1 3
 
5.0%
9 3
 
5.0%
6 2
 
3.3%
7 2
 
3.3%

업종명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1012.0 B
인터넷컴퓨터게임시설제공업
82 
일반게임제공업
16 
청소년게임제공업
10 
복합유통게임제공업
 
2

Length

Max length13
Median length13
Mean length11.6
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 82
74.5%
일반게임제공업 16
 
14.5%
청소년게임제공업 10
 
9.1%
복합유통게임제공업 2
 
1.8%

Length

2024-03-16T13:18:28.634506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:18:28.866575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 82
74.5%
일반게임제공업 16
 
14.5%
청소년게임제공업 10
 
9.1%
복합유통게임제공업 2
 
1.8%

게임기수
Real number (ℝ)

Distinct59
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.781818
Minimum5
Maximum271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-16T13:18:29.281761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q18
median55.5
Q390
95-th percentile156.05
Maximum271
Range266
Interquartile range (IQR)82

Descriptive statistics

Standard deviation56.76321
Coefficient of variation (CV)0.94950626
Kurtosis1.4387874
Mean59.781818
Median Absolute Deviation (MAD)46.5
Skewness1.1529189
Sum6576
Variance3222.0621
MonotonicityNot monotonic
2024-03-16T13:18:29.517627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 11
 
10.0%
8 10
 
9.1%
7 8
 
7.3%
9 6
 
5.5%
60 5
 
4.5%
5 3
 
2.7%
70 3
 
2.7%
80 3
 
2.7%
10 3
 
2.7%
100 3
 
2.7%
Other values (49) 55
50.0%
ValueCountFrequency (%)
5 3
 
2.7%
6 11
10.0%
7 8
7.3%
8 10
9.1%
9 6
5.5%
10 3
 
2.7%
13 1
 
0.9%
15 1
 
0.9%
17 1
 
0.9%
20 1
 
0.9%
ValueCountFrequency (%)
271 1
0.9%
233 1
0.9%
230 1
0.9%
172 1
0.9%
162 1
0.9%
161 1
0.9%
150 1
0.9%
148 1
0.9%
142 1
0.9%
139 1
0.9%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
Minimum2024-03-11 00:00:00
Maximum2024-03-11 00:00:00
2024-03-16T13:18:29.713279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:29.936462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-16T13:18:22.023785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:21.779893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:22.165154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:21.898710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:18:30.141568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전화번호업종명게임기수
연번1.0001.0000.8890.468
전화번호1.0001.0001.0001.000
업종명0.8891.0001.0000.365
게임기수0.4681.0000.3651.000
2024-03-16T13:18:30.323970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번게임기수업종명
연번1.000-0.3090.739
게임기수-0.3091.0000.234
업종명0.7390.2341.000

Missing values

2024-03-16T13:18:22.363662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:18:22.582306image/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

연번상호영업소소재지(도로명)영업소소재지(지번)전화번호업종명게임기수데이터기준일
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12OP PC인천광역시 계양구 주부토로 541, 501호 (계산동, 계양프라자)인천광역시 계양구 계산동 947 외 1필지 계양프라자 501호032-544-1436인터넷컴퓨터게임시설제공업1622024-03-11
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