Overview

Dataset statistics

Number of variables7
Number of observations177
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory58.7 B

Variable types

Numeric2
Text2
Categorical2
DateTime1

Dataset

Description인천광역시 남동구 pc방에 대한 데이터로 상호명, 영업소소재지, 게임기종류, 게임기 수, 업종명, 데이터기준일자 등을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15112604/fileData.do

Alerts

게임기종류 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
업종명 is highly imbalanced (64.2%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:18:50.944671
Analysis finished2024-03-14 14:18:53.079694
Duration2.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct177
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89
Minimum1
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-14T23:18:53.287176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.8
Q145
median89
Q3133
95-th percentile168.2
Maximum177
Range176
Interquartile range (IQR)88

Descriptive statistics

Standard deviation51.239633
Coefficient of variation (CV)0.57572621
Kurtosis-1.2
Mean89
Median Absolute Deviation (MAD)44
Skewness0
Sum15753
Variance2625.5
MonotonicityStrictly increasing
2024-03-14T23:18:53.721072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
134 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
Other values (167) 167
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%

상호명
Text

Distinct158
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-14T23:18:54.534786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length6.9830508
Min length3

Characters and Unicode

Total characters1236
Distinct characters218
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

Unique144 ?
Unique (%)81.4%

Sample

1st row아트 PC
2nd row라피에스타 PC카페(논현2호점)
3rd row5 STAR PC
4th row몰라 PC방
5th row5 STAR PC cafe
ValueCountFrequency (%)
pc 83
25.7%
pc방 20
 
6.2%
에이스 4
 
1.2%
대박 4
 
1.2%
star 4
 
1.2%
5 4
 
1.2%
pc카페 3
 
0.9%
인천서창점 3
 
0.9%
cafe 3
 
0.9%
욜로pc방 3
 
0.9%
Other values (170) 192
59.4%
2024-03-14T23:18:55.602260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 179
 
14.5%
C 179
 
14.5%
146
 
11.8%
방 35
 
2.8%
스 34
 
2.8%
점 23
 
1.9%
이 21
 
1.7%
카 17
 
1.4%
아 16
 
1.3%
리 14
 
1.1%
Other values (208) 572
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 616
49.8%
Uppercase Letter 392
31.7%
Space Separator 146
 
11.8%
Lowercase Letter 47
 
3.8%
Decimal Number 13
 
1.1%
Close Punctuation 9
 
0.7%
Open Punctuation 9
 
0.7%
Other Punctuation 2
 
0.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 35
 
5.7%
스 34
 
5.5%
점 23
 
3.7%
이 21
 
3.4%
카 17
 
2.8%
아 16
 
2.6%
리 14
 
2.3%
인 13
 
2.1%
드 13
 
2.1%
라 12
 
1.9%
Other values (167) 418
67.9%
Uppercase Letter
ValueCountFrequency (%)
P 179
45.7%
C 179
45.7%
S 6
 
1.5%
E 4
 
1.0%
A 4
 
1.0%
L 3
 
0.8%
U 3
 
0.8%
F 3
 
0.8%
T 3
 
0.8%
R 2
 
0.5%
Other values (5) 6
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
e 7
14.9%
a 5
10.6%
c 5
10.6%
h 4
8.5%
t 4
8.5%
f 3
 
6.4%
i 3
 
6.4%
n 3
 
6.4%
r 3
 
6.4%
d 2
 
4.3%
Other values (5) 8
17.0%
Decimal Number
ValueCountFrequency (%)
2 4
30.8%
5 4
30.8%
7 2
15.4%
4 1
 
7.7%
1 1
 
7.7%
3 1
 
7.7%
Space Separator
ValueCountFrequency (%)
146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 616
49.8%
Latin 439
35.5%
Common 181
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 35
 
5.7%
스 34
 
5.5%
점 23
 
3.7%
이 21
 
3.4%
카 17
 
2.8%
아 16
 
2.6%
리 14
 
2.3%
인 13
 
2.1%
드 13
 
2.1%
라 12
 
1.9%
Other values (167) 418
67.9%
Latin
ValueCountFrequency (%)
P 179
40.8%
C 179
40.8%
e 7
 
1.6%
S 6
 
1.4%
a 5
 
1.1%
c 5
 
1.1%
E 4
 
0.9%
h 4
 
0.9%
A 4
 
0.9%
t 4
 
0.9%
Other values (20) 42
 
9.6%
Common
ValueCountFrequency (%)
146
80.7%
) 9
 
5.0%
( 9
 
5.0%
2 4
 
2.2%
5 4
 
2.2%
& 2
 
1.1%
- 2
 
1.1%
7 2
 
1.1%
4 1
 
0.6%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 620
50.2%
Hangul 616
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 179
28.9%
C 179
28.9%
146
23.5%
) 9
 
1.5%
( 9
 
1.5%
e 7
 
1.1%
S 6
 
1.0%
a 5
 
0.8%
c 5
 
0.8%
E 4
 
0.6%
Other values (31) 71
 
11.5%
Hangul
ValueCountFrequency (%)
방 35
 
5.7%
스 34
 
5.5%
점 23
 
3.7%
이 21
 
3.4%
카 17
 
2.8%
아 16
 
2.6%
리 14
 
2.3%
인 13
 
2.1%
드 13
 
2.1%
라 12
 
1.9%
Other values (167) 418
67.9%

영업소소재지(도로명)
Text

Distinct174
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-14T23:18:56.655088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length35.412429
Min length26

Characters and Unicode

Total characters6268
Distinct characters183
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

Unique171 ?
Unique (%)96.6%

Sample

1st row인천광역시 남동구 장승남로 70-11, 204,205,206호 (만수동, 현대아파트상가동)
2nd row인천광역시 남동구 청능대로718번길 9, B01호 (논현동, 소래마을풍림아파트 상가)
3rd row인천광역시 남동구 담방로48번길 16 (만수동,(3층))
4th row인천광역시 남동구 문화서로 21 (구월동,(2층))
5th row인천광역시 남동구 백범로 322, 지하1층호 (간석동)
ValueCountFrequency (%)
인천광역시 177
 
15.0%
남동구 177
 
15.0%
구월동 47
 
4.0%
1층 41
 
3.5%
논현동 39
 
3.3%
간석동 37
 
3.1%
만수동 27
 
2.3%
2층 22
 
1.9%
백범로 11
 
0.9%
101호 9
 
0.8%
Other values (345) 594
50.3%
2024-03-14T23:18:57.981329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1006
 
16.0%
동 384
 
6.1%
1 280
 
4.5%
구 257
 
4.1%
, 226
 
3.6%
남 224
 
3.6%
2 201
 
3.2%
인 196
 
3.1%
) 186
 
3.0%
( 186
 
3.0%
Other values (173) 3122
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3436
54.8%
Decimal Number 1160
 
18.5%
Space Separator 1006
 
16.0%
Other Punctuation 229
 
3.7%
Close Punctuation 186
 
3.0%
Open Punctuation 186
 
3.0%
Dash Punctuation 28
 
0.4%
Uppercase Letter 27
 
0.4%
Math Symbol 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 384
 
11.2%
구 257
 
7.5%
남 224
 
6.5%
인 196
 
5.7%
역 186
 
5.4%
시 182
 
5.3%
천 180
 
5.2%
로 179
 
5.2%
광 178
 
5.2%
호 141
 
4.1%
Other values (146) 1329
38.7%
Decimal Number
ValueCountFrequency (%)
1 280
24.1%
2 201
17.3%
0 154
13.3%
3 134
11.6%
4 96
 
8.3%
5 79
 
6.8%
6 63
 
5.4%
7 58
 
5.0%
9 56
 
4.8%
8 39
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
B 11
40.7%
A 6
22.2%
L 2
 
7.4%
S 2
 
7.4%
T 1
 
3.7%
H 1
 
3.7%
E 1
 
3.7%
C 1
 
3.7%
P 1
 
3.7%
Z 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 226
98.7%
. 3
 
1.3%
Space Separator
ValueCountFrequency (%)
1006
100.0%
Close Punctuation
ValueCountFrequency (%)
) 186
100.0%
Open Punctuation
ValueCountFrequency (%)
( 186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3436
54.8%
Common 2805
44.8%
Latin 27
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 384
 
11.2%
구 257
 
7.5%
남 224
 
6.5%
인 196
 
5.7%
역 186
 
5.4%
시 182
 
5.3%
천 180
 
5.2%
로 179
 
5.2%
광 178
 
5.2%
호 141
 
4.1%
Other values (146) 1329
38.7%
Common
ValueCountFrequency (%)
1006
35.9%
1 280
 
10.0%
, 226
 
8.1%
2 201
 
7.2%
) 186
 
6.6%
( 186
 
6.6%
0 154
 
5.5%
3 134
 
4.8%
4 96
 
3.4%
5 79
 
2.8%
Other values (7) 257
 
9.2%
Latin
ValueCountFrequency (%)
B 11
40.7%
A 6
22.2%
L 2
 
7.4%
S 2
 
7.4%
T 1
 
3.7%
H 1
 
3.7%
E 1
 
3.7%
C 1
 
3.7%
P 1
 
3.7%
Z 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3436
54.8%
ASCII 2832
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1006
35.5%
1 280
 
9.9%
, 226
 
8.0%
2 201
 
7.1%
) 186
 
6.6%
( 186
 
6.6%
0 154
 
5.4%
3 134
 
4.7%
4 96
 
3.4%
5 79
 
2.8%
Other values (17) 284
 
10.0%
Hangul
ValueCountFrequency (%)
동 384
 
11.2%
구 257
 
7.5%
남 224
 
6.5%
인 196
 
5.7%
역 186
 
5.4%
시 182
 
5.3%
천 180
 
5.2%
로 179
 
5.2%
광 178
 
5.2%
호 141
 
4.1%
Other values (146) 1329
38.7%

게임기종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
PC
177 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
PC 177
100.0%

Length

2024-03-14T23:18:58.207320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:18:58.383683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pc 177
100.0%

게임기수
Real number (ℝ)

Distinct60
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.570621
Minimum4
Maximum320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-03-14T23:18:58.702515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q16
median9
Q380
95-th percentile177.2
Maximum320
Range316
Interquartile range (IQR)74

Descriptive statistics

Standard deviation63.058476
Coefficient of variation (CV)1.2982843
Kurtosis3.7369287
Mean48.570621
Median Absolute Deviation (MAD)4
Skewness1.8333494
Sum8597
Variance3976.3714
MonotonicityNot monotonic
2024-03-14T23:18:58.951895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 36
20.3%
8 16
 
9.0%
7 16
 
9.0%
5 13
 
7.3%
9 11
 
6.2%
10 8
 
4.5%
80 5
 
2.8%
100 4
 
2.3%
60 4
 
2.3%
91 3
 
1.7%
Other values (50) 61
34.5%
ValueCountFrequency (%)
4 3
 
1.7%
5 13
 
7.3%
6 36
20.3%
7 16
9.0%
8 16
9.0%
9 11
 
6.2%
10 8
 
4.5%
24 1
 
0.6%
25 1
 
0.6%
28 1
 
0.6%
ValueCountFrequency (%)
320 2
1.1%
256 1
0.6%
231 1
0.6%
226 1
0.6%
196 2
1.1%
194 1
0.6%
190 1
0.6%
174 1
0.6%
165 1
0.6%
158 1
0.6%

업종명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
인터넷컴퓨터게임시설제공업
165 
복합유통게임제공업
 
12

Length

Max length13
Median length13
Mean length12.728814
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 165
93.2%
복합유통게임제공업 12
 
6.8%

Length

2024-03-14T23:18:59.206913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:18:59.408536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 165
93.2%
복합유통게임제공업 12
 
6.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2024-02-22 00:00:00
Maximum2024-02-22 00:00:00
2024-03-14T23:18:59.558672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:18:59.751960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T23:18:51.935005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:18:51.410614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:18:52.192081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:18:51.679435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:18:59.934447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번게임기수업종명
연번1.0000.4650.938
게임기수0.4651.0000.404
업종명0.9380.4041.000
2024-03-14T23:19:00.100222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번게임기수업종명
연번1.000-0.2630.771
게임기수-0.2631.0000.396
업종명0.7710.3961.000

Missing values

2024-03-14T23:18:52.538263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:18:52.930744image/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

연번상호명영업소소재지(도로명)게임기종류게임기수업종명데이터기준일자
01아트 PC인천광역시 남동구 장승남로 70-11, 204,205,206호 (만수동, 현대아파트상가동)PC80인터넷컴퓨터게임시설제공업2024-02-22
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