Overview

Dataset statistics

Number of variables5
Number of observations127
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory42.0 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description인천광역시 중구 게임장의 상호명, 영업도로명소재지, 업종명에 대한 정보입니다.파일명 인천광역시_중구_게임장내용 상호명, 영업도로명주소 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15074657&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 09:57:50.473982
Analysis finished2024-01-28 09:57:50.923286
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64
Minimum1
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-28T18:57:50.981302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.3
Q132.5
median64
Q395.5
95-th percentile120.7
Maximum127
Range126
Interquartile range (IQR)63

Descriptive statistics

Standard deviation36.805797
Coefficient of variation (CV)0.57509057
Kurtosis-1.2
Mean64
Median Absolute Deviation (MAD)32
Skewness0
Sum8128
Variance1354.6667
MonotonicityStrictly increasing
2024-01-28T18:57:51.093274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
Other values (117) 117
92.1%
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 (%)
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%

상호명
Text

Distinct119
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-28T18:57:51.295536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length6.6614173
Min length3

Characters and Unicode

Total characters846
Distinct characters229
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)88.2%

Sample

1st rowSTYLE PC방
2nd row스타PC방
3rd row그레이PC
4th row샹떼PC방
5th row아레나PC
ValueCountFrequency (%)
pc 5
 
2.8%
pc방 4
 
2.2%
뽑기요기요 3
 
1.7%
오락실 3
 
1.7%
사격장 3
 
1.7%
인형뽑기 3
 
1.7%
노리존 2
 
1.1%
해변오락실 2
 
1.1%
강남pc 2
 
1.1%
월미도도도 2
 
1.1%
Other values (146) 149
83.7%
2024-01-28T18:57:51.619922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 61
 
7.2%
P 60
 
7.1%
51
 
6.0%
드 24
 
2.8%
게 19
 
2.2%
기 19
 
2.2%
임 18
 
2.1%
랜 18
 
2.1%
이 18
 
2.1%
오 17
 
2.0%
Other values (219) 541
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 584
69.0%
Uppercase Letter 170
 
20.1%
Space Separator 51
 
6.0%
Lowercase Letter 27
 
3.2%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Other Punctuation 3
 
0.4%
Decimal Number 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 24
 
4.1%
게 19
 
3.3%
기 19
 
3.3%
임 18
 
3.1%
랜 18
 
3.1%
이 18
 
3.1%
오 17
 
2.9%
뽑 14
 
2.4%
방 14
 
2.4%
스 13
 
2.2%
Other values (174) 410
70.2%
Uppercase Letter
ValueCountFrequency (%)
C 61
35.9%
P 60
35.3%
E 5
 
2.9%
N 5
 
2.9%
O 4
 
2.4%
G 4
 
2.4%
L 4
 
2.4%
R 3
 
1.8%
S 3
 
1.8%
K 3
 
1.8%
Other values (11) 18
 
10.6%
Lowercase Letter
ValueCountFrequency (%)
c 4
14.8%
p 4
14.8%
e 3
11.1%
n 3
11.1%
t 2
 
7.4%
y 1
 
3.7%
a 1
 
3.7%
m 1
 
3.7%
o 1
 
3.7%
k 1
 
3.7%
Other values (6) 6
22.2%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
＆ 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 584
69.0%
Latin 197
 
23.3%
Common 65
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 24
 
4.1%
게 19
 
3.3%
기 19
 
3.3%
임 18
 
3.1%
랜 18
 
3.1%
이 18
 
3.1%
오 17
 
2.9%
뽑 14
 
2.4%
방 14
 
2.4%
스 13
 
2.2%
Other values (174) 410
70.2%
Latin
ValueCountFrequency (%)
C 61
31.0%
P 60
30.5%
E 5
 
2.5%
N 5
 
2.5%
O 4
 
2.0%
c 4
 
2.0%
p 4
 
2.0%
G 4
 
2.0%
L 4
 
2.0%
R 3
 
1.5%
Other values (27) 43
21.8%
Common
ValueCountFrequency (%)
51
78.5%
( 4
 
6.2%
) 4
 
6.2%
. 2
 
3.1%
＆ 1
 
1.5%
2 1
 
1.5%
- 1
 
1.5%
1 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 584
69.0%
ASCII 261
30.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 61
23.4%
P 60
23.0%
51
19.5%
E 5
 
1.9%
N 5
 
1.9%
( 4
 
1.5%
O 4
 
1.5%
) 4
 
1.5%
c 4
 
1.5%
p 4
 
1.5%
Other values (34) 59
22.6%
Hangul
ValueCountFrequency (%)
드 24
 
4.1%
게 19
 
3.3%
기 19
 
3.3%
임 18
 
3.1%
랜 18
 
3.1%
이 18
 
3.1%
오 17
 
2.9%
뽑 14
 
2.4%
방 14
 
2.4%
스 13
 
2.2%
Other values (174) 410
70.2%
None
ValueCountFrequency (%)
＆ 1
100.0%

영업도로명소재지
Text

Distinct122
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-28T18:57:51.838836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length40
Mean length31.685039
Min length20

Characters and Unicode

Total characters4024
Distinct characters181
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

Unique117 ?
Unique (%)92.1%

Sample

1st row인천광역시 중구 신포로 18-1 (신생동)
2nd row인천광역시 중구 서해대로464번길 10, 2층 (선화동)
3rd row인천광역시 중구 서해대로 478 (유동)
4th row인천광역시 중구 신도시남로141번길 16 (운서동, 지하 1층)
5th row인천광역시 중구 운서1로4번길 30, 2층 (운서동)
ValueCountFrequency (%)
인천광역시 127
 
16.5%
중구 127
 
16.5%
운서동 26
 
3.4%
중산동 21
 
2.7%
북성동1가 20
 
2.6%
인현동 19
 
2.5%
1층 18
 
2.3%
2층 14
 
1.8%
월미문화로 13
 
1.7%
항동7가 12
 
1.6%
Other values (225) 375
48.6%
2024-01-28T18:57:52.176037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
648
 
16.1%
1 202
 
5.0%
중 158
 
3.9%
인 146
 
3.6%
시 145
 
3.6%
동 133
 
3.3%
광 130
 
3.2%
역 127
 
3.2%
구 127
 
3.2%
천 127
 
3.2%
Other values (171) 2081
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2287
56.8%
Decimal Number 694
 
17.2%
Space Separator 648
 
16.1%
Close Punctuation 127
 
3.2%
Open Punctuation 127
 
3.2%
Other Punctuation 104
 
2.6%
Dash Punctuation 30
 
0.7%
Uppercase Letter 5
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 158
 
6.9%
인 146
 
6.4%
시 145
 
6.3%
동 133
 
5.8%
광 130
 
5.7%
역 127
 
5.6%
구 127
 
5.6%
천 127
 
5.6%
로 123
 
5.4%
길 70
 
3.1%
Other values (152) 1001
43.8%
Decimal Number
ValueCountFrequency (%)
1 202
29.1%
2 99
14.3%
3 81
11.7%
0 72
 
10.4%
7 52
 
7.5%
6 47
 
6.8%
4 45
 
6.5%
5 33
 
4.8%
8 32
 
4.6%
9 31
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
L 1
 
20.0%
S 1
 
20.0%
Space Separator
ValueCountFrequency (%)
648
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Other Punctuation
ValueCountFrequency (%)
, 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2287
56.8%
Common 1732
43.0%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 158
 
6.9%
인 146
 
6.4%
시 145
 
6.3%
동 133
 
5.8%
광 130
 
5.7%
역 127
 
5.6%
구 127
 
5.6%
천 127
 
5.6%
로 123
 
5.4%
길 70
 
3.1%
Other values (152) 1001
43.8%
Common
ValueCountFrequency (%)
648
37.4%
1 202
 
11.7%
) 127
 
7.3%
( 127
 
7.3%
, 104
 
6.0%
2 99
 
5.7%
3 81
 
4.7%
0 72
 
4.2%
7 52
 
3.0%
6 47
 
2.7%
Other values (6) 173
 
10.0%
Latin
ValueCountFrequency (%)
B 3
60.0%
L 1
 
20.0%
S 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2287
56.8%
ASCII 1737
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
648
37.3%
1 202
 
11.6%
) 127
 
7.3%
( 127
 
7.3%
, 104
 
6.0%
2 99
 
5.7%
3 81
 
4.7%
0 72
 
4.1%
7 52
 
3.0%
6 47
 
2.7%
Other values (9) 178
 
10.2%
Hangul
ValueCountFrequency (%)
중 158
 
6.9%
인 146
 
6.4%
시 145
 
6.3%
동 133
 
5.8%
광 130
 
5.7%
역 127
 
5.6%
구 127
 
5.6%
천 127
 
5.6%
로 123
 
5.4%
길 70
 
3.1%
Other values (152) 1001
43.8%

업종명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
인터넷컴퓨터게임시설제공업
62 
청소년게임제공업
48 
일반게임제공업
11 
복합유통게임제공업
 
6

Length

Max length13
Median length9
Mean length10.401575
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 62
48.8%
청소년게임제공업 48
37.8%
일반게임제공업 11
 
8.7%
복합유통게임제공업 6
 
4.7%

Length

2024-01-28T18:57:52.285007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:57:52.370929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 62
48.8%
청소년게임제공업 48
37.8%
일반게임제공업 11
 
8.7%
복합유통게임제공업 6
 
4.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-08-07 00:00:00
Maximum2023-08-07 00:00:00
2024-01-28T18:57:52.445892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:57:52.533376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T18:57:50.737249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:57:52.825147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.877
업종명0.8771.000
2024-01-28T18:57:52.884189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명
연번1.0000.723
업종명0.7231.000

Missing values

2024-01-28T18:57:50.822325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:57:50.894973image/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

연번상호명영업도로명소재지업종명데이터기준일자
01STYLE PC방인천광역시 중구 신포로 18-1 (신생동)인터넷컴퓨터게임시설제공업2023-08-07
12스타PC방인천광역시 중구 서해대로464번길 10, 2층 (선화동)인터넷컴퓨터게임시설제공업2023-08-07
23그레이PC인천광역시 중구 서해대로 478 (유동)인터넷컴퓨터게임시설제공업2023-08-07
34샹떼PC방인천광역시 중구 신도시남로141번길 16 (운서동, 지하 1층)인터넷컴퓨터게임시설제공업2023-08-07
45아레나PC인천광역시 중구 운서1로4번길 30, 2층 (운서동)인터넷컴퓨터게임시설제공업2023-08-07
56아이센스 PC방인천광역시 중구 하늘별빛로65번길 7-4, 302,303호 (중산동, 현대프라자)인터넷컴퓨터게임시설제공업2023-08-07
67주식회사 파라다이스세가사미인천광역시 중구 영종해안남로321번길 186, 2층 (운서동, 파라다이스시티)인터넷컴퓨터게임시설제공업2023-08-07
78체리PC방인천광역시 중구 연안부두로33번길 7 (항동7가)인터넷컴퓨터게임시설제공업2023-08-07
89프랜드PC방인천광역시 중구 우현로87번길 17 (인현동)인터넷컴퓨터게임시설제공업2023-08-07
910이게 PC방이다인천광역시 중구 도원서길 27 (신흥동2가, 더존플러스)인터넷컴퓨터게임시설제공업2023-08-07
연번상호명영업도로명소재지업종명데이터기준일자
117118월미도도도인천광역시 중구 월미문화로 35, 1층 (북성동1가)청소년게임제공업2023-08-07
118119PUNCH KILLER (펀치킬러)인천광역시 중구 은하수로29번길 48, 1층 8호 (중산동)청소년게임제공업2023-08-07
119120사격장 말년병장 배틀그라운드인천광역시 중구 신도시남로149번길 1, 다모아프라자 106호 (운서동)청소년게임제공업2023-08-07
120121오락킹인천광역시 중구 영종진광장로 10, 103호 (중산동)청소년게임제공업2023-08-07
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123124배틀존 오락실인천광역시 중구 흰바위로59번길 31, 헤르메스호텔 102호 (운서동)청소년게임제공업2023-08-07
124125와와사격장인천광역시 중구 하늘별빛로65번길 13, 세진시티 103호 (중산동)청소년게임제공업2023-08-07
125126뽑기스쿨인천광역시 중구 홍예문로98번길 15, 101호 (인현동)청소년게임제공업2023-08-07
12612721세기마트인천광역시 중구 월미로234번길 6 (북성동1가)청소년게임제공업2023-08-07