Overview

Dataset statistics

Number of variables6
Number of observations89
Missing cells18
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory51.5 B

Variable types

Numeric2
Categorical2
Text2

Dataset

Description연수구 관내 게임제공업 현황에 관한 데이터로, 현재 연수구 내부에 영업중인 업소명, 주소지 등의 항목을 제공합니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15112552&srcSe=7661IVAWM27C61E190

Alerts

영업상태 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
게임기(PC)수 has 18 (20.2%) missing valuesMissing
연번 has unique valuesUnique
영업소소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-04-20 18:46:37.877850
Analysis finished2024-04-20 18:46:40.039935
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.573034
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-04-21T03:46:40.106130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.4
Q123
median45
Q367
95-th percentile104.6
Maximum109
Range108
Interquartile range (IQR)44

Descriptive statistics

Standard deviation28.762305
Coefficient of variation (CV)0.61757422
Kurtosis-0.59213193
Mean46.573034
Median Absolute Deviation (MAD)22
Skewness0.37335879
Sum4145
Variance827.27017
MonotonicityStrictly increasing
2024-04-21T03:46:40.227288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
68 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
60 1
 
1.1%
59 1
 
1.1%
Other values (79) 79
88.8%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
109 1
1.1%
108 1
1.1%
107 1
1.1%
106 1
1.1%
105 1
1.1%
104 1
1.1%
103 1
1.1%
82 1
1.1%
81 1
1.1%
80 1
1.1%

업종명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size844.0 B
인터넷컴퓨터게임시설제공업
65 
청소년게임제공업
18 
복합유통게임제공업
 
6

Length

Max length13
Median length13
Mean length11.719101
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 65
73.0%
청소년게임제공업 18
 
20.2%
복합유통게임제공업 6
 
6.7%

Length

2024-04-21T03:46:40.334492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:46:40.418541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 65
73.0%
청소년게임제공업 18
 
20.2%
복합유통게임제공업 6
 
6.7%

상호
Text

Distinct87
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-04-21T03:46:40.619584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length6.6516854
Min length2

Characters and Unicode

Total characters592
Distinct characters165
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

Unique85 ?
Unique (%)95.5%

Sample

1st rowP양과C군
2nd row5 STAR PC
3rd row네토피아PC방
4th row텐지PC방
5th row모던피씨존
ValueCountFrequency (%)
pc 21
 
15.2%
cafe 4
 
2.9%
5 3
 
2.2%
star 3
 
2.2%
zone 2
 
1.4%
뽑기방 2
 
1.4%
bob 2
 
1.4%
욜로pc방 2
 
1.4%
moo 2
 
1.4%
master 1
 
0.7%
Other values (96) 96
69.6%
2024-04-21T03:46:40.935681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 63
 
10.6%
P 63
 
10.6%
49
 
8.3%
17
 
2.9%
15
 
2.5%
O 13
 
2.2%
12
 
2.0%
9
 
1.5%
A 9
 
1.5%
8
 
1.4%
Other values (155) 334
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 291
49.2%
Uppercase Letter 206
34.8%
Space Separator 49
 
8.3%
Lowercase Letter 30
 
5.1%
Decimal Number 6
 
1.0%
Other Punctuation 4
 
0.7%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
5.8%
15
 
5.2%
12
 
4.1%
9
 
3.1%
8
 
2.7%
8
 
2.7%
8
 
2.7%
7
 
2.4%
7
 
2.4%
7
 
2.4%
Other values (115) 193
66.3%
Uppercase Letter
ValueCountFrequency (%)
C 63
30.6%
P 63
30.6%
O 13
 
6.3%
A 9
 
4.4%
E 8
 
3.9%
M 7
 
3.4%
N 5
 
2.4%
B 5
 
2.4%
T 5
 
2.4%
F 4
 
1.9%
Other values (9) 24
 
11.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
16.7%
a 4
13.3%
i 4
13.3%
l 4
13.3%
s 4
13.3%
t 2
 
6.7%
r 2
 
6.7%
f 1
 
3.3%
m 1
 
3.3%
c 1
 
3.3%
Other values (2) 2
 
6.7%
Decimal Number
ValueCountFrequency (%)
5 3
50.0%
1 1
 
16.7%
2 1
 
16.7%
3 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
# 2
50.0%
' 2
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 291
49.2%
Latin 236
39.9%
Common 65
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
5.8%
15
 
5.2%
12
 
4.1%
9
 
3.1%
8
 
2.7%
8
 
2.7%
8
 
2.7%
7
 
2.4%
7
 
2.4%
7
 
2.4%
Other values (115) 193
66.3%
Latin
ValueCountFrequency (%)
C 63
26.7%
P 63
26.7%
O 13
 
5.5%
A 9
 
3.8%
E 8
 
3.4%
M 7
 
3.0%
N 5
 
2.1%
B 5
 
2.1%
e 5
 
2.1%
T 5
 
2.1%
Other values (21) 53
22.5%
Common
ValueCountFrequency (%)
49
75.4%
( 3
 
4.6%
) 3
 
4.6%
5 3
 
4.6%
# 2
 
3.1%
' 2
 
3.1%
1 1
 
1.5%
2 1
 
1.5%
3 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 301
50.8%
Hangul 291
49.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 63
20.9%
P 63
20.9%
49
16.3%
O 13
 
4.3%
A 9
 
3.0%
E 8
 
2.7%
M 7
 
2.3%
N 5
 
1.7%
B 5
 
1.7%
e 5
 
1.7%
Other values (30) 74
24.6%
Hangul
ValueCountFrequency (%)
17
 
5.8%
15
 
5.2%
12
 
4.1%
9
 
3.1%
8
 
2.7%
8
 
2.7%
8
 
2.7%
7
 
2.4%
7
 
2.4%
7
 
2.4%
Other values (115) 193
66.3%
Distinct89
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size844.0 B
2024-04-21T03:46:41.124002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length45
Mean length37.797753
Min length25

Characters and Unicode

Total characters3364
Distinct characters167
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

Unique89 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 독배로40번길 11, 602,3호 (옥련동, 효명프라자 )
2nd row인천광역시 연수구 독배로 35, B33호 (옥련동)
3rd row인천광역시 연수구 비류대로278번길 8-3 (청학동,3층)
4th row인천광역시 연수구 신송로125번길 13, 3층 304,305호 (송도동, 아크리아)
5th row인천광역시 연수구 함박로 50 (연수동,4층)
ValueCountFrequency (%)
인천광역시 89
 
14.3%
연수구 89
 
14.3%
연수동 24
 
3.8%
송도동 19
 
3.0%
1층 15
 
2.4%
청학동 13
 
2.1%
2층 13
 
2.1%
선학동 12
 
1.9%
11 9
 
1.4%
벚꽃로 9
 
1.4%
Other values (232) 332
53.2%
2024-04-21T03:46:41.425712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
535
 
15.9%
1 180
 
5.4%
, 127
 
3.8%
119
 
3.5%
119
 
3.5%
115
 
3.4%
95
 
2.8%
94
 
2.8%
92
 
2.7%
2 92
 
2.7%
Other values (157) 1796
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1876
55.8%
Decimal Number 614
 
18.3%
Space Separator 535
 
15.9%
Other Punctuation 127
 
3.8%
Open Punctuation 89
 
2.6%
Close Punctuation 89
 
2.6%
Dash Punctuation 17
 
0.5%
Uppercase Letter 10
 
0.3%
Math Symbol 5
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
119
 
6.3%
119
 
6.3%
115
 
6.1%
95
 
5.1%
94
 
5.0%
92
 
4.9%
91
 
4.9%
90
 
4.8%
89
 
4.7%
89
 
4.7%
Other values (134) 883
47.1%
Decimal Number
ValueCountFrequency (%)
1 180
29.3%
2 92
15.0%
3 80
13.0%
0 73
11.9%
4 55
 
9.0%
6 39
 
6.4%
8 29
 
4.7%
7 27
 
4.4%
5 22
 
3.6%
9 17
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
D 3
30.0%
C 2
20.0%
A 2
20.0%
B 2
20.0%
M 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
i 1
50.0%
b 1
50.0%
Space Separator
ValueCountFrequency (%)
535
100.0%
Other Punctuation
ValueCountFrequency (%)
, 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1876
55.8%
Common 1476
43.9%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
119
 
6.3%
119
 
6.3%
115
 
6.1%
95
 
5.1%
94
 
5.0%
92
 
4.9%
91
 
4.9%
90
 
4.8%
89
 
4.7%
89
 
4.7%
Other values (134) 883
47.1%
Common
ValueCountFrequency (%)
535
36.2%
1 180
 
12.2%
, 127
 
8.6%
2 92
 
6.2%
( 89
 
6.0%
) 89
 
6.0%
3 80
 
5.4%
0 73
 
4.9%
4 55
 
3.7%
6 39
 
2.6%
Other values (6) 117
 
7.9%
Latin
ValueCountFrequency (%)
D 3
25.0%
C 2
16.7%
A 2
16.7%
B 2
16.7%
i 1
 
8.3%
M 1
 
8.3%
b 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1876
55.8%
ASCII 1488
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
535
36.0%
1 180
 
12.1%
, 127
 
8.5%
2 92
 
6.2%
( 89
 
6.0%
) 89
 
6.0%
3 80
 
5.4%
0 73
 
4.9%
4 55
 
3.7%
6 39
 
2.6%
Other values (13) 129
 
8.7%
Hangul
ValueCountFrequency (%)
119
 
6.3%
119
 
6.3%
115
 
6.1%
95
 
5.1%
94
 
5.0%
92
 
4.9%
91
 
4.9%
90
 
4.8%
89
 
4.7%
89
 
4.7%
Other values (134) 883
47.1%

게임기(PC)수
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)59.2%
Missing18
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean52.71831
Minimum5
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size933.0 B
2024-04-21T03:46:41.532375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q17
median30
Q396
95-th percentile140.5
Maximum160
Range155
Interquartile range (IQR)89

Descriptive statistics

Standard deviation48.823058
Coefficient of variation (CV)0.92611196
Kurtosis-1.1111891
Mean52.71831
Median Absolute Deviation (MAD)24
Skewness0.58409374
Sum3743
Variance2383.6909
MonotonicityNot monotonic
2024-04-21T03:46:41.639783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6 11
 
12.4%
7 6
 
6.7%
8 4
 
4.5%
70 3
 
3.4%
85 3
 
3.4%
30 2
 
2.2%
5 2
 
2.2%
12 2
 
2.2%
19 2
 
2.2%
20 2
 
2.2%
Other values (32) 34
38.2%
(Missing) 18
20.2%
ValueCountFrequency (%)
5 2
 
2.2%
6 11
12.4%
7 6
6.7%
8 4
 
4.5%
9 2
 
2.2%
12 2
 
2.2%
13 1
 
1.1%
14 1
 
1.1%
19 2
 
2.2%
20 2
 
2.2%
ValueCountFrequency (%)
160 1
1.1%
149 1
1.1%
145 1
1.1%
141 1
1.1%
140 1
1.1%
131 1
1.1%
129 1
1.1%
120 1
1.1%
119 1
1.1%
115 1
1.1%

영업상태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size844.0 B
영업중
89 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 89
100.0%

Length

2024-04-21T03:46:41.741262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T03:46:41.814440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 89
100.0%

Interactions

2024-04-21T03:46:39.730256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:46:39.549017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:46:39.797070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T03:46:39.658404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T03:46:41.863182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명상호영업소소재지(도로명)게임기(PC)수
연번1.0000.9770.9761.0000.469
업종명0.9771.0000.0001.0000.665
상호0.9760.0001.0001.0000.000
영업소소재지(도로명)1.0001.0001.0001.0001.000
게임기(PC)수0.4690.6650.0001.0001.000
2024-04-21T03:46:41.956252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번게임기(PC)수업종명
연번1.000-0.3290.787
게임기(PC)수-0.3291.0000.487
업종명0.7870.4871.000

Missing values

2024-04-21T03:46:39.895074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T03:46:39.993421image/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

연번업종명상호영업소소재지(도로명)게임기(PC)수영업상태
01인터넷컴퓨터게임시설제공업P양과C군인천광역시 연수구 독배로40번길 11, 602,3호 (옥련동, 효명프라자 )85영업중
12인터넷컴퓨터게임시설제공업5 STAR PC인천광역시 연수구 독배로 35, B33호 (옥련동)77영업중
23인터넷컴퓨터게임시설제공업네토피아PC방인천광역시 연수구 비류대로278번길 8-3 (청학동,3층)50영업중
34인터넷컴퓨터게임시설제공업텐지PC방인천광역시 연수구 신송로125번길 13, 3층 304,305호 (송도동, 아크리아)140영업중
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