Overview

Dataset statistics

Number of variables5
Number of observations119
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory42.1 B

Variable types

Numeric1
DateTime1
Text3

Dataset

Description인천광역시 부평구 인터넷컴퓨터게임시설제공업 현황 데이터는 제공업체 상호, 소재지, 등록일자에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104151&srcSe=7661IVAWM27C61E190

Alerts

순번 has unique valuesUnique
영업소소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:22:06.190584
Analysis finished2024-01-28 11:22:06.666084
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60
Minimum1
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-28T20:22:06.723933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q130.5
median60
Q389.5
95-th percentile113.1
Maximum119
Range118
Interquartile range (IQR)59

Descriptive statistics

Standard deviation34.496377
Coefficient of variation (CV)0.57493961
Kurtosis-1.2
Mean60
Median Absolute Deviation (MAD)30
Skewness0
Sum7140
Variance1190
MonotonicityStrictly increasing
2024-01-28T20:22:06.834803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
82 1
 
0.8%
Other values (109) 109
91.6%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%
110 1
0.8%

등록(신고)일자
Date

Distinct113
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2007-06-14 00:00:00
Maximum2023-07-21 00:00:00
2024-01-28T20:22:06.946702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:22:07.049155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상호
Text

Distinct112
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-28T20:22:07.269603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length7.3193277
Min length3

Characters and Unicode

Total characters871
Distinct characters184
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)89.1%

Sample

1st row지포스 PC
2nd row5-STAR PC CAFE 산곡점
3rd rowDB PC CAFE
4th rowDB PC
5th row아이에스 PC방
ValueCountFrequency (%)
pc 66
28.6%
pc방 15
 
6.5%
cafe 9
 
3.9%
premium 4
 
1.7%
3pop 4
 
1.7%
bon's 3
 
1.3%
kingdom 3
 
1.3%
럭키 2
 
0.9%
5-star 2
 
0.9%
대박pc 2
 
0.9%
Other values (116) 121
52.4%
2024-01-28T20:22:07.597393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 131
 
15.0%
P 128
 
14.7%
114
 
13.1%
방 21
 
2.4%
A 19
 
2.2%
E 16
 
1.8%
O 15
 
1.7%
스 13
 
1.5%
F 11
 
1.3%
N 10
 
1.1%
Other values (174) 393
45.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 407
46.7%
Other Letter 299
34.3%
Space Separator 114
 
13.1%
Lowercase Letter 24
 
2.8%
Decimal Number 10
 
1.1%
Other Punctuation 7
 
0.8%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Dash Punctuation 3
 
0.3%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 21
 
7.0%
스 13
 
4.3%
점 10
 
3.3%
오 8
 
2.7%
리 7
 
2.3%
이 7
 
2.3%
로 7
 
2.3%
부 7
 
2.3%
드 6
 
2.0%
아 5
 
1.7%
Other values (131) 208
69.6%
Uppercase Letter
ValueCountFrequency (%)
C 131
32.2%
P 128
31.4%
A 19
 
4.7%
E 16
 
3.9%
O 15
 
3.7%
F 11
 
2.7%
N 10
 
2.5%
M 9
 
2.2%
I 8
 
2.0%
S 8
 
2.0%
Other values (12) 52
 
12.8%
Lowercase Letter
ValueCountFrequency (%)
m 6
25.0%
r 4
16.7%
p 3
12.5%
e 3
12.5%
u 3
12.5%
i 3
12.5%
a 1
 
4.2%
o 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
3 4
40.0%
1 2
20.0%
8 2
20.0%
5 2
20.0%
Other Punctuation
ValueCountFrequency (%)
' 3
42.9%
. 2
28.6%
& 1
 
14.3%
, 1
 
14.3%
Space Separator
ValueCountFrequency (%)
114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
★ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 431
49.5%
Hangul 299
34.3%
Common 141
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 21
 
7.0%
스 13
 
4.3%
점 10
 
3.3%
오 8
 
2.7%
리 7
 
2.3%
이 7
 
2.3%
로 7
 
2.3%
부 7
 
2.3%
드 6
 
2.0%
아 5
 
1.7%
Other values (131) 208
69.6%
Latin
ValueCountFrequency (%)
C 131
30.4%
P 128
29.7%
A 19
 
4.4%
E 16
 
3.7%
O 15
 
3.5%
F 11
 
2.6%
N 10
 
2.3%
M 9
 
2.1%
I 8
 
1.9%
S 8
 
1.9%
Other values (20) 76
17.6%
Common
ValueCountFrequency (%)
114
80.9%
3 4
 
2.8%
( 3
 
2.1%
) 3
 
2.1%
' 3
 
2.1%
- 3
 
2.1%
1 2
 
1.4%
. 2
 
1.4%
8 2
 
1.4%
5 2
 
1.4%
Other values (3) 3
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 571
65.6%
Hangul 299
34.3%
Misc Symbols 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 131
22.9%
P 128
22.4%
114
20.0%
A 19
 
3.3%
E 16
 
2.8%
O 15
 
2.6%
F 11
 
1.9%
N 10
 
1.8%
M 9
 
1.6%
I 8
 
1.4%
Other values (32) 110
19.3%
Hangul
ValueCountFrequency (%)
방 21
 
7.0%
스 13
 
4.3%
점 10
 
3.3%
오 8
 
2.7%
리 7
 
2.3%
이 7
 
2.3%
로 7
 
2.3%
부 7
 
2.3%
드 6
 
2.0%
아 5
 
1.7%
Other values (131) 208
69.6%
Misc Symbols
ValueCountFrequency (%)
★ 1
100.0%

영업소소재지(도로명)
Text

Distinct118
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-28T20:22:07.839084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length32.285714
Min length24

Characters and Unicode

Total characters3842
Distinct characters167
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)98.3%

Sample

1st row인천광역시 부평구 동수로 146, 동양빌딩 2층 (부개동)
2nd row인천광역시 부평구 마장로 287, 201호 (산곡동, 한양플라자)
3rd row인천광역시 부평구 수변로 18, 2층 (부개동, 대부빌딩)
4th row인천광역시 부평구 부평문화로 167, 2층 (부개동)
5th row인천광역시 부평구 길주로 640, 2층 (부개동, 대동아파트 상가)
ValueCountFrequency (%)
인천광역시 119
 
15.2%
부평구 119
 
15.2%
부평동 43
 
5.5%
2층 34
 
4.3%
1층 32
 
4.1%
십정동 23
 
2.9%
갈산동 13
 
1.7%
부개동 12
 
1.5%
청천동 12
 
1.5%
평천로 10
 
1.3%
Other values (240) 366
46.7%
2024-01-28T20:22:08.392964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
664
 
17.3%
부 199
 
5.2%
평 183
 
4.8%
, 144
 
3.7%
천 142
 
3.7%
1 140
 
3.6%
동 133
 
3.5%
시 127
 
3.3%
인 123
 
3.2%
로 121
 
3.1%
Other values (157) 1866
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2184
56.8%
Space Separator 664
 
17.3%
Decimal Number 573
 
14.9%
Other Punctuation 147
 
3.8%
Open Punctuation 119
 
3.1%
Close Punctuation 119
 
3.1%
Dash Punctuation 12
 
0.3%
Uppercase Letter 11
 
0.3%
Lowercase Letter 8
 
0.2%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 199
 
9.1%
평 183
 
8.4%
천 142
 
6.5%
동 133
 
6.1%
시 127
 
5.8%
인 123
 
5.6%
로 121
 
5.5%
광 121
 
5.5%
구 120
 
5.5%
역 120
 
5.5%
Other values (127) 795
36.4%
Decimal Number
ValueCountFrequency (%)
1 140
24.4%
2 88
15.4%
4 65
11.3%
0 64
11.2%
3 64
11.2%
6 40
 
7.0%
5 39
 
6.8%
7 30
 
5.2%
9 27
 
4.7%
8 16
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
C 4
36.4%
M 2
18.2%
B 2
18.2%
H 1
 
9.1%
P 1
 
9.1%
J 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
i 2
25.0%
t 2
25.0%
c 2
25.0%
y 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 144
98.0%
＆ 2
 
1.4%
. 1
 
0.7%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
664
100.0%
Open Punctuation
ValueCountFrequency (%)
( 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 119
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2184
56.8%
Common 1637
42.6%
Latin 21
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 199
 
9.1%
평 183
 
8.4%
천 142
 
6.5%
동 133
 
6.1%
시 127
 
5.8%
인 123
 
5.6%
로 121
 
5.5%
광 121
 
5.5%
구 120
 
5.5%
역 120
 
5.5%
Other values (127) 795
36.4%
Common
ValueCountFrequency (%)
664
40.6%
, 144
 
8.8%
1 140
 
8.6%
( 119
 
7.3%
) 119
 
7.3%
2 88
 
5.4%
4 65
 
4.0%
0 64
 
3.9%
3 64
 
3.9%
6 40
 
2.4%
Other values (8) 130
 
7.9%
Latin
ValueCountFrequency (%)
C 4
19.0%
i 2
9.5%
t 2
9.5%
c 2
9.5%
M 2
9.5%
y 2
9.5%
B 2
9.5%
Ⅰ 1
 
4.8%
H 1
 
4.8%
P 1
 
4.8%
Other values (2) 2
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2184
56.8%
ASCII 1654
43.1%
None 2
 
0.1%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
664
40.1%
, 144
 
8.7%
1 140
 
8.5%
( 119
 
7.2%
) 119
 
7.2%
2 88
 
5.3%
4 65
 
3.9%
0 64
 
3.9%
3 64
 
3.9%
6 40
 
2.4%
Other values (17) 147
 
8.9%
Hangul
ValueCountFrequency (%)
부 199
 
9.1%
평 183
 
8.4%
천 142
 
6.5%
동 133
 
6.1%
시 127
 
5.8%
인 123
 
5.6%
로 121
 
5.5%
광 121
 
5.5%
구 120
 
5.5%
역 120
 
5.5%
Other values (127) 795
36.4%
None
ValueCountFrequency (%)
＆ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

영업소소재지(지번)
Text

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-28T20:22:08.660700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length23.453782
Min length18

Characters and Unicode

Total characters2791
Distinct characters109
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 부개동 250-19 동양빌딩
2nd row인천광역시 부평구 산곡동 182 한양플라자 201
3rd row인천광역시 부평구 부개동 305-4 2층
4th row인천광역시 부평구 부개동 131-15 2층
5th row인천광역시 부평구 부개동 477-6 대동아파트상가 2층
ValueCountFrequency (%)
인천광역시 119
21.2%
부평구 119
21.2%
부평동 43
 
7.7%
십정동 22
 
3.9%
갈산동 13
 
2.3%
2층 12
 
2.1%
부개동 12
 
2.1%
청천동 12
 
2.1%
1층 11
 
2.0%
삼산동 10
 
1.8%
Other values (169) 189
33.6%
2024-01-28T20:22:09.053771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
547
19.6%
부 176
 
6.3%
평 163
 
5.8%
1 133
 
4.8%
천 132
 
4.7%
인 121
 
4.3%
동 121
 
4.3%
시 120
 
4.3%
구 120
 
4.3%
광 119
 
4.3%
Other values (99) 1039
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1515
54.3%
Decimal Number 602
 
21.6%
Space Separator 547
 
19.6%
Dash Punctuation 112
 
4.0%
Uppercase Letter 8
 
0.3%
Other Punctuation 4
 
0.1%
Letter Number 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 176
11.6%
평 163
10.8%
천 132
8.7%
인 121
8.0%
동 121
8.0%
시 120
7.9%
구 120
7.9%
광 119
7.9%
역 119
7.9%
층 35
 
2.3%
Other values (76) 289
19.1%
Decimal Number
ValueCountFrequency (%)
1 133
22.1%
2 76
12.6%
4 69
11.5%
3 63
10.5%
0 54
9.0%
5 52
 
8.6%
7 46
 
7.6%
6 40
 
6.6%
9 39
 
6.5%
8 30
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
C 4
50.0%
J 1
 
12.5%
P 1
 
12.5%
H 1
 
12.5%
B 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
＆ 2
50.0%
. 1
25.0%
, 1
25.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
547
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1515
54.3%
Common 1266
45.4%
Latin 10
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 176
11.6%
평 163
10.8%
천 132
8.7%
인 121
8.0%
동 121
8.0%
시 120
7.9%
구 120
7.9%
광 119
7.9%
역 119
7.9%
층 35
 
2.3%
Other values (76) 289
19.1%
Common
ValueCountFrequency (%)
547
43.2%
1 133
 
10.5%
- 112
 
8.8%
2 76
 
6.0%
4 69
 
5.5%
3 63
 
5.0%
0 54
 
4.3%
5 52
 
4.1%
7 46
 
3.6%
6 40
 
3.2%
Other values (6) 74
 
5.8%
Latin
ValueCountFrequency (%)
C 4
40.0%
J 1
 
10.0%
P 1
 
10.0%
H 1
 
10.0%
B 1
 
10.0%
Ⅰ 1
 
10.0%
Ⅱ 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1515
54.3%
ASCII 1272
45.6%
None 2
 
0.1%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
547
43.0%
1 133
 
10.5%
- 112
 
8.8%
2 76
 
6.0%
4 69
 
5.4%
3 63
 
5.0%
0 54
 
4.2%
5 52
 
4.1%
7 46
 
3.6%
6 40
 
3.1%
Other values (10) 80
 
6.3%
Hangul
ValueCountFrequency (%)
부 176
11.6%
평 163
10.8%
천 132
8.7%
인 121
8.0%
동 121
8.0%
시 120
7.9%
구 120
7.9%
광 119
7.9%
역 119
7.9%
층 35
 
2.3%
Other values (76) 289
19.1%
None
ValueCountFrequency (%)
＆ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

Interactions

2024-01-28T20:22:06.451350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-01-28T20:22:06.552122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:22:06.631577image/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

순번등록(신고)일자상호영업소소재지(도로명)영업소소재지(지번)
012007-06-14지포스 PC인천광역시 부평구 동수로 146, 동양빌딩 2층 (부개동)인천광역시 부평구 부개동 250-19 동양빌딩
122007-07-265-STAR PC CAFE 산곡점인천광역시 부평구 마장로 287, 201호 (산곡동, 한양플라자)인천광역시 부평구 산곡동 182 한양플라자 201
232007-09-27DB PC CAFE인천광역시 부평구 수변로 18, 2층 (부개동, 대부빌딩)인천광역시 부평구 부개동 305-4 2층
342007-10-15DB PC인천광역시 부평구 부평문화로 167, 2층 (부개동)인천광역시 부평구 부개동 131-15 2층
452007-10-24아이에스 PC방인천광역시 부평구 길주로 640, 2층 (부개동, 대동아파트 상가)인천광역시 부평구 부개동 477-6 대동아파트상가 2층
562007-11-02곰팅이 PC인천광역시 부평구 대정로 66, 307호 (부평동, 다운타운일레븐)인천광역시 부평구 부평동 152-1 307호
672007-11-20VALUE PC인천광역시 부평구 경원대로 1414, 지하 1층 (부평동, 삼미빌딩)인천광역시 부평구 부평동 185-41 지1층
782007-12-28웨라 PC방인천광역시 부평구 평천로 324, 2층 (갈산동)인천광역시 부평구 갈산동 170-8 2층
892008-01-28젤리PC인천광역시 부평구 마장로242번길 5, 4층 (산곡동)인천광역시 부평구 산곡동 251-20
9102008-05-16네티즌 PC인천광역시 부평구 청중로 65, 2층 (청천동)인천광역시 부평구 청천동 11-35 2층
순번등록(신고)일자상호영업소소재지(도로명)영업소소재지(지번)
1091102023-01-31D SKY PC CAFE인천광역시 부평구 경인로 941, 번성오이코스 2층 (부평동)인천광역시 부평구 부평동 700-27 번성오이코스
1101112023-04-03골드PC인천광역시 부평구 주부토로 259, 2층 (갈산동)인천광역시 부평구 갈산동 169-18
1111122023-04-17제노 PC방인천광역시 부평구 길주남로 33, 지하1층 (부평동)인천광역시 부평구 부평동 889-6
1121132023-04-25짱PC인천광역시 부평구 부평문화로163번길 9-1, 1층 (부개동)인천광역시 부평구 부개동 105-1
1131142023-05-09왕대박PC인천광역시 부평구 열우물로49번길 23, 지웅빌딩 3층 (십정동)인천광역시 부평구 십정동 406-1 지웅빌딩
1141152023-05-19대박PC인천광역시 부평구 대정로 93, 웰링턴 111호 (부평동)인천광역시 부평구 부평동 560-2 웰링턴
1151162023-06-14골드PC인천광역시 부평구 장제로 58, 1층 101호 (부평동, 헤리움)인천광역시 부평구 부평동 505-2 헤리움
1161172023-06-22PLAY PC인천광역시 부평구 시장로 65, 104호 (부평동, H.B엘림캐슬)인천광역시 부평구 부평동 222-3 H.B엘림캐슬
1171182023-06-23제로백PC 부개점인천광역시 부평구 부평문화로 164, 청오빌딩 2층 (부개동)인천광역시 부평구 부개동 139-1 청오빌딩
1181192023-07-21로또PC인천광역시 부평구 백범로478번길 16-4, 1층 (십정동)인천광역시 부평구 십정동 440