Overview

Dataset statistics

Number of variables7
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory59.6 B

Variable types

Numeric2
Text2
Categorical2
DateTime1

Dataset

Description인천광역시 남동구 게임제공업소(오락실, 인형뽑기 업소 등) 데이터로 상호명, 영업소소재지, 게임기종류, 게임기수, 업종명, 데이터기준일자 등을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15112605/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 게임기수 and 2 other fieldsHigh correlation
게임기수 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
게임기종류 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
업종명 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:48:07.418657
Analysis finished2024-03-14 19:48:09.900666
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.5
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size848.0 B
2024-03-15T04:48:10.108176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.95
Q120.75
median40.5
Q360.25
95-th percentile76.05
Maximum80
Range79
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation23.2379
Coefficient of variation (CV)0.57377531
Kurtosis-1.2
Mean40.5
Median Absolute Deviation (MAD)20
Skewness0
Sum3240
Variance540
MonotonicityStrictly increasing
2024-03-15T04:48:10.803827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
42 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%
53 1
 
1.2%
Other values (70) 70
87.5%
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 (%)
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%
72 1
1.2%
71 1
1.2%

상호
Text

Distinct75
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size768.0 B
2024-03-15T04:48:11.943326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length6.5875
Min length2

Characters and Unicode

Total characters527
Distinct characters162
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

Unique70 ?
Unique (%)87.5%

Sample

1st row로얄게임랜드
2nd row거성 게임랜드
3rd row피쉬 게임랜드
4th row킹 게임랜드
5th row골드 게임랜드
ValueCountFrequency (%)
게임랜드 12
 
9.7%
게임장 3
 
2.4%
젠틀맨 2
 
1.6%
인형뽑기방 2
 
1.6%
뽑기 2
 
1.6%
인형뽑기 2
 
1.6%
뽑기노리터 2
 
1.6%
뽑기뽑기방 2
 
1.6%
단밤 2
 
1.6%
뽑기놀이터 2
 
1.6%
Other values (92) 93
75.0%
2024-03-15T04:48:13.537691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
8.3%
33
 
6.3%
30
 
5.7%
28
 
5.3%
28
 
5.3%
28
 
5.3%
25
 
4.7%
11
 
2.1%
11
 
2.1%
10
 
1.9%
Other values (152) 279
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 443
84.1%
Space Separator 44
 
8.3%
Uppercase Letter 17
 
3.2%
Decimal Number 7
 
1.3%
Open Punctuation 5
 
0.9%
Close Punctuation 5
 
0.9%
Lowercase Letter 5
 
0.9%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
7.4%
30
 
6.8%
28
 
6.3%
28
 
6.3%
28
 
6.3%
25
 
5.6%
11
 
2.5%
11
 
2.5%
10
 
2.3%
9
 
2.0%
Other values (125) 230
51.9%
Uppercase Letter
ValueCountFrequency (%)
E 2
11.8%
O 2
11.8%
Y 2
11.8%
A 2
11.8%
T 2
11.8%
W 1
5.9%
D 1
5.9%
H 1
5.9%
N 1
5.9%
Z 1
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
3 2
28.6%
0 1
14.3%
2 1
14.3%
5 1
14.3%
1 1
14.3%
6 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
20.0%
g 1
20.0%
a 1
20.0%
r 1
20.0%
n 1
20.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 443
84.1%
Common 62
 
11.8%
Latin 22
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
7.4%
30
 
6.8%
28
 
6.3%
28
 
6.3%
28
 
6.3%
25
 
5.6%
11
 
2.5%
11
 
2.5%
10
 
2.3%
9
 
2.0%
Other values (125) 230
51.9%
Latin
ValueCountFrequency (%)
E 2
 
9.1%
O 2
 
9.1%
Y 2
 
9.1%
A 2
 
9.1%
T 2
 
9.1%
W 1
 
4.5%
o 1
 
4.5%
g 1
 
4.5%
a 1
 
4.5%
r 1
 
4.5%
Other values (7) 7
31.8%
Common
ValueCountFrequency (%)
44
71.0%
( 5
 
8.1%
) 5
 
8.1%
3 2
 
3.2%
0 1
 
1.6%
2 1
 
1.6%
5 1
 
1.6%
1 1
 
1.6%
6 1
 
1.6%
# 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 443
84.1%
ASCII 84
 
15.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
52.4%
( 5
 
6.0%
) 5
 
6.0%
E 2
 
2.4%
O 2
 
2.4%
Y 2
 
2.4%
A 2
 
2.4%
T 2
 
2.4%
3 2
 
2.4%
0 1
 
1.2%
Other values (17) 17
 
20.2%
Hangul
ValueCountFrequency (%)
33
 
7.4%
30
 
6.8%
28
 
6.3%
28
 
6.3%
28
 
6.3%
25
 
5.6%
11
 
2.5%
11
 
2.5%
10
 
2.3%
9
 
2.0%
Other values (125) 230
51.9%
Distinct78
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size768.0 B
2024-03-15T04:48:14.415251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41.5
Mean length35.4625
Min length24

Characters and Unicode

Total characters2837
Distinct characters145
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

Unique76 ?
Unique (%)95.0%

Sample

1st row인천광역시 남동구 백범로 347, 지층 (간석동)
2nd row인천광역시 남동구 은청로 16-7 (고잔동)
3rd row인천광역시 남동구 소래역로 28, 조은프라자 114,115호 (논현동)
4th row인천광역시 남동구 백범로 335, 하람빌딩 2층 (간석동)
5th row인천광역시 남동구 경인로 607, 1층 1호 (간석동, 관광나이트런던)
ValueCountFrequency (%)
인천광역시 80
 
14.7%
남동구 80
 
14.7%
구월동 30
 
5.5%
1층 27
 
5.0%
간석동 23
 
4.2%
논현동 12
 
2.2%
2층 12
 
2.2%
102호 9
 
1.7%
만수동 8
 
1.5%
28 5
 
0.9%
Other values (181) 258
47.4%
2024-03-15T04:48:15.828295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
465
 
16.4%
174
 
6.1%
1 132
 
4.7%
118
 
4.2%
97
 
3.4%
95
 
3.3%
2 94
 
3.3%
, 92
 
3.2%
84
 
3.0%
84
 
3.0%
Other values (135) 1402
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1589
56.0%
Decimal Number 513
 
18.1%
Space Separator 465
 
16.4%
Other Punctuation 92
 
3.2%
Close Punctuation 82
 
2.9%
Open Punctuation 82
 
2.9%
Dash Punctuation 11
 
0.4%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
174
 
11.0%
118
 
7.4%
97
 
6.1%
95
 
6.0%
84
 
5.3%
84
 
5.3%
83
 
5.2%
83
 
5.2%
82
 
5.2%
58
 
3.7%
Other values (117) 631
39.7%
Decimal Number
ValueCountFrequency (%)
1 132
25.7%
2 94
18.3%
3 55
10.7%
0 54
10.5%
7 36
 
7.0%
4 34
 
6.6%
9 29
 
5.7%
8 28
 
5.5%
5 26
 
5.1%
6 25
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
V 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
465
100.0%
Other Punctuation
ValueCountFrequency (%)
, 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1589
56.0%
Common 1245
43.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
174
 
11.0%
118
 
7.4%
97
 
6.1%
95
 
6.0%
84
 
5.3%
84
 
5.3%
83
 
5.2%
83
 
5.2%
82
 
5.2%
58
 
3.7%
Other values (117) 631
39.7%
Common
ValueCountFrequency (%)
465
37.3%
1 132
 
10.6%
2 94
 
7.6%
, 92
 
7.4%
) 82
 
6.6%
( 82
 
6.6%
3 55
 
4.4%
0 54
 
4.3%
7 36
 
2.9%
4 34
 
2.7%
Other values (5) 119
 
9.6%
Latin
ValueCountFrequency (%)
C 1
33.3%
V 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1589
56.0%
ASCII 1248
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
465
37.3%
1 132
 
10.6%
2 94
 
7.5%
, 92
 
7.4%
) 82
 
6.6%
( 82
 
6.6%
3 55
 
4.4%
0 54
 
4.3%
7 36
 
2.9%
4 34
 
2.7%
Other values (8) 122
 
9.8%
Hangul
ValueCountFrequency (%)
174
 
11.0%
118
 
7.4%
97
 
6.1%
95
 
6.0%
84
 
5.3%
84
 
5.3%
83
 
5.2%
83
 
5.2%
82
 
5.2%
58
 
3.7%
Other values (117) 631
39.7%

게임기종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size768.0 B
전체이용가
58 
청소년이용불가
20 
전체이용가 및 청소년이용불가
 
2

Length

Max length15
Median length5
Mean length5.75
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 58
72.5%
청소년이용불가 20
 
25.0%
전체이용가 및 청소년이용불가 2
 
2.5%

Length

2024-03-15T04:48:16.225142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:48:16.546013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 60
71.4%
청소년이용불가 22
 
26.2%
2
 
2.4%

게임기수
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.425
Minimum4
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size848.0 B
2024-03-15T04:48:16.949009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q110
median16
Q360
95-th percentile90.25
Maximum180
Range176
Interquartile range (IQR)50

Descriptive statistics

Standard deviation34.546895
Coefficient of variation (CV)1.0035409
Kurtosis3.9468152
Mean34.425
Median Absolute Deviation (MAD)9
Skewness1.7621535
Sum2754
Variance1193.488
MonotonicityNot monotonic
2024-03-15T04:48:17.371755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
60 8
 
10.0%
11 6
 
7.5%
12 5
 
6.2%
6 4
 
5.0%
7 4
 
5.0%
9 4
 
5.0%
16 4
 
5.0%
10 3
 
3.8%
8 3
 
3.8%
40 3
 
3.8%
Other values (24) 36
45.0%
ValueCountFrequency (%)
4 1
 
1.2%
5 2
 
2.5%
6 4
5.0%
7 4
5.0%
8 3
3.8%
9 4
5.0%
10 3
3.8%
11 6
7.5%
12 5
6.2%
13 2
 
2.5%
ValueCountFrequency (%)
180 1
 
1.2%
151 1
 
1.2%
112 1
 
1.2%
95 1
 
1.2%
90 2
 
2.5%
80 1
 
1.2%
71 2
 
2.5%
70 2
 
2.5%
65 3
 
3.8%
60 8
10.0%

업종명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size768.0 B
청소년게임제공업
53 
일반게임제공업
22 
복합유통게임제공업
 
5

Length

Max length9
Median length8
Mean length7.7875
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 53
66.2%
일반게임제공업 22
27.5%
복합유통게임제공업 5
 
6.2%

Length

2024-03-15T04:48:17.888244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:48:18.155283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 53
66.2%
일반게임제공업 22
27.5%
복합유통게임제공업 5
 
6.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size768.0 B
Minimum2024-02-22 00:00:00
Maximum2024-02-22 00:00:00
2024-03-15T04:48:18.322551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:48:18.512898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T04:48:08.714355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:48:08.171994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:48:08.990950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:48:08.442062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:48:18.747117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호영업소소재지(도로명)게임기종류게임기수업종명
연번1.0000.8700.9720.7670.5290.896
상호0.8701.0000.9981.0001.0000.776
영업소소재지(도로명)0.9720.9981.0001.0001.0000.000
게임기종류0.7671.0001.0001.0000.8400.939
게임기수0.5291.0001.0000.8401.0000.851
업종명0.8960.7760.0000.9390.8511.000
2024-03-15T04:48:19.052882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명게임기종류
업종명1.0000.698
게임기종류0.6981.000
2024-03-15T04:48:19.462403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/