Overview

Dataset statistics

Number of variables6
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory51.7 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description인천 광역시 서구 관내에 위치한 청소년게임제공업소 (상호, 소재지(도로,지번), 업종명) 에 관하여 현행화 데이터파일 입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15089680&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:51:06.333846
Analysis finished2024-03-18 04:51:07.387258
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2024-03-18T13:51:07.461957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2024-03-18T13:51:07.591712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

상호
Text

Distinct44
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-03-18T13:51:07.815332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length5.6326531
Min length3

Characters and Unicode

Total characters276
Distinct characters101
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)81.6%

Sample

1st row시장게임랜드
2nd row짱뽑기방
3rd row인형뽑기
4th row뽑기1번지
5th row해피하우스 인형뽑기
ValueCountFrequency (%)
인형뽑기 4
 
6.6%
게임존 2
 
3.3%
퍼니스토리 2
 
3.3%
게임랜드 2
 
3.3%
짱뽑기방 2
 
3.3%
뽑기놀이터 2
 
3.3%
넌김에다뽑아 1
 
1.6%
뽑기짱 1
 
1.6%
친구야 1
 
1.6%
놀자 1
 
1.6%
Other values (43) 43
70.5%
2024-03-18T13:51:08.131345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
9.8%
24
 
8.7%
12
 
4.3%
8
 
2.9%
8
 
2.9%
8
 
2.9%
7
 
2.5%
7
 
2.5%
7
 
2.5%
6
 
2.2%
Other values (91) 162
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 245
88.8%
Uppercase Letter 13
 
4.7%
Space Separator 12
 
4.3%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%
Other Punctuation 1
 
0.4%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
27
 
11.0%
24
 
9.8%
8
 
3.3%
8
 
3.3%
8
 
3.3%
7
 
2.9%
7
 
2.9%
7
 
2.9%
6
 
2.4%
5
 
2.0%
Other values (76) 138
56.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
23.1%
G 2
15.4%
B 1
 
7.7%
L 1
 
7.7%
M 1
 
7.7%
E 1
 
7.7%
P 1
 
7.7%
R 1
 
7.7%
K 1
 
7.7%
O 1
 
7.7%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 245
88.8%
Common 18
 
6.5%
Latin 13
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
27
 
11.0%
24
 
9.8%
8
 
3.3%
8
 
3.3%
8
 
3.3%
7
 
2.9%
7
 
2.9%
7
 
2.9%
6
 
2.4%
5
 
2.0%
Other values (76) 138
56.3%
Latin
ValueCountFrequency (%)
A 3
23.1%
G 2
15.4%
B 1
 
7.7%
L 1
 
7.7%
M 1
 
7.7%
E 1
 
7.7%
P 1
 
7.7%
R 1
 
7.7%
K 1
 
7.7%
O 1
 
7.7%
Common
ValueCountFrequency (%)
12
66.7%
) 2
 
11.1%
( 2
 
11.1%
# 1
 
5.6%
1 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 245
88.8%
ASCII 31
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
27
 
11.0%
24
 
9.8%
8
 
3.3%
8
 
3.3%
8
 
3.3%
7
 
2.9%
7
 
2.9%
7
 
2.9%
6
 
2.4%
5
 
2.0%
Other values (76) 138
56.3%
ASCII
ValueCountFrequency (%)
12
38.7%
A 3
 
9.7%
G 2
 
6.5%
) 2
 
6.5%
( 2
 
6.5%
B 1
 
3.2%
# 1
 
3.2%
L 1
 
3.2%
1 1
 
3.2%
M 1
 
3.2%
Other values (5) 5
16.1%
Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-03-18T13:51:08.375041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length33.571429
Min length25

Characters and Unicode

Total characters1645
Distinct characters132
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

Unique49 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 석곶로 17, 2층 (가정동)
2nd row인천광역시 서구 신석로 79, 1층 3호 (석남동, 무한빌딩)
3rd row인천광역시 서구 서곶로301번길 16, 1층 113호 (심곡동, 태영프라자)
4th row인천광역시 서구 원창로 225, 1층 (가정동)
5th row인천광역시 서구 원창로 198, 1층 (신현동)
ValueCountFrequency (%)
인천광역시 49
 
14.9%
서구 49
 
14.9%
1층 16
 
4.9%
석남동 15
 
4.6%
청라동 9
 
2.7%
가정동 5
 
1.5%
101호 5
 
1.5%
102호 4
 
1.2%
가좌동 4
 
1.2%
16 3
 
0.9%
Other values (129) 169
51.5%
2024-03-18T13:51:08.729288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
17.0%
1 108
 
6.6%
, 58
 
3.5%
53
 
3.2%
51
 
3.1%
51
 
3.1%
50
 
3.0%
50
 
3.0%
( 49
 
3.0%
49
 
3.0%
Other values (122) 847
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 886
53.9%
Decimal Number 304
 
18.5%
Space Separator 279
 
17.0%
Other Punctuation 58
 
3.5%
Open Punctuation 49
 
3.0%
Close Punctuation 49
 
3.0%
Dash Punctuation 14
 
0.9%
Uppercase Letter 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
53
 
6.0%
51
 
5.8%
51
 
5.8%
50
 
5.6%
50
 
5.6%
49
 
5.5%
49
 
5.5%
49
 
5.5%
49
 
5.5%
30
 
3.4%
Other values (105) 405
45.7%
Decimal Number
ValueCountFrequency (%)
1 108
35.5%
2 38
 
12.5%
0 31
 
10.2%
3 25
 
8.2%
6 24
 
7.9%
7 22
 
7.2%
8 16
 
5.3%
5 15
 
4.9%
9 14
 
4.6%
4 11
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 5
83.3%
A 1
 
16.7%
Space Separator
ValueCountFrequency (%)
279
100.0%
Other Punctuation
ValueCountFrequency (%)
, 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 886
53.9%
Common 753
45.8%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
53
 
6.0%
51
 
5.8%
51
 
5.8%
50
 
5.6%
50
 
5.6%
49
 
5.5%
49
 
5.5%
49
 
5.5%
49
 
5.5%
30
 
3.4%
Other values (105) 405
45.7%
Common
ValueCountFrequency (%)
279
37.1%
1 108
 
14.3%
, 58
 
7.7%
( 49
 
6.5%
) 49
 
6.5%
2 38
 
5.0%
0 31
 
4.1%
3 25
 
3.3%
6 24
 
3.2%
7 22
 
2.9%
Other values (5) 70
 
9.3%
Latin
ValueCountFrequency (%)
B 5
83.3%
A 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 886
53.9%
ASCII 759
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
36.8%
1 108
 
14.2%
, 58
 
7.6%
( 49
 
6.5%
) 49
 
6.5%
2 38
 
5.0%
0 31
 
4.1%
3 25
 
3.3%
6 24
 
3.2%
7 22
 
2.9%
Other values (7) 76
 
10.0%
Hangul
ValueCountFrequency (%)
53
 
6.0%
51
 
5.8%
51
 
5.8%
50
 
5.6%
50
 
5.6%
49
 
5.5%
49
 
5.5%
49
 
5.5%
49
 
5.5%
30
 
3.4%
Other values (105) 405
45.7%
Distinct46
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size524.0 B
2024-03-18T13:51:08.964618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length23.428571
Min length19

Characters and Unicode

Total characters1148
Distinct characters94
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)87.8%

Sample

1st row인천광역시 서구 가정동 504-17 2층
2nd row인천광역시 서구 석남동 477 무한빌딩 1층 3호
3rd row인천광역시 서구 심곡동 245-6 태영프라자 1층 113호
4th row인천광역시 서구 가정동 507-7 1층
5th row인천광역시 서구 신현동 282-34 1층
ValueCountFrequency (%)
인천광역시 49
20.6%
서구 49
20.6%
석남동 15
 
6.3%
1층 10
 
4.2%
청라동 9
 
3.8%
가정동 5
 
2.1%
가좌동 4
 
1.7%
원당동 3
 
1.3%
연희동 3
 
1.3%
155-7 2
 
0.8%
Other values (79) 89
37.4%
2024-03-18T13:51:09.344528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233
20.3%
1 59
 
5.1%
51
 
4.4%
50
 
4.4%
50
 
4.4%
50
 
4.4%
49
 
4.3%
49
 
4.3%
49
 
4.3%
49
 
4.3%
Other values (84) 459
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 620
54.0%
Decimal Number 249
21.7%
Space Separator 233
 
20.3%
Dash Punctuation 45
 
3.9%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
 
8.2%
50
 
8.1%
50
 
8.1%
50
 
8.1%
49
 
7.9%
49
 
7.9%
49
 
7.9%
49
 
7.9%
23
 
3.7%
15
 
2.4%
Other values (71) 185
29.8%
Decimal Number
ValueCountFrequency (%)
1 59
23.7%
5 36
14.5%
7 27
10.8%
2 26
10.4%
3 24
9.6%
6 20
 
8.0%
4 18
 
7.2%
0 18
 
7.2%
8 11
 
4.4%
9 10
 
4.0%
Space Separator
ValueCountFrequency (%)
233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 620
54.0%
Common 527
45.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
 
8.2%
50
 
8.1%
50
 
8.1%
50
 
8.1%
49
 
7.9%
49
 
7.9%
49
 
7.9%
49
 
7.9%
23
 
3.7%
15
 
2.4%
Other values (71) 185
29.8%
Common
ValueCountFrequency (%)
233
44.2%
1 59
 
11.2%
- 45
 
8.5%
5 36
 
6.8%
7 27
 
5.1%
2 26
 
4.9%
3 24
 
4.6%
6 20
 
3.8%
4 18
 
3.4%
0 18
 
3.4%
Other values (2) 21
 
4.0%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 620
54.0%
ASCII 528
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
44.1%
1 59
 
11.2%
- 45
 
8.5%
5 36
 
6.8%
7 27
 
5.1%
2 26
 
4.9%
3 24
 
4.5%
6 20
 
3.8%
4 18
 
3.4%
0 18
 
3.4%
Other values (3) 22
 
4.2%
Hangul
ValueCountFrequency (%)
51
 
8.2%
50
 
8.1%
50
 
8.1%
50
 
8.1%
49
 
7.9%
49
 
7.9%
49
 
7.9%
49
 
7.9%
23
 
3.7%
15
 
2.4%
Other values (71) 185
29.8%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
청소년게임제공업
49 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 49
100.0%

Length

2024-03-18T13:51:09.457929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:51:09.531669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 49
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2022-08-31 00:00:00
Maximum2022-08-31 00:00:00
2024-03-18T13:51:09.598444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:51:09.672175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T13:51:07.141938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:51:09.724638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호소재지(도로명)소재지(지번)
연번1.0000.8551.0000.804
상호0.8551.0001.0000.917
소재지(도로명)1.0001.0001.0001.000
소재지(지번)0.8040.9171.0001.000

Missing values

2024-03-18T13:51:07.249736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:51:07.347876image/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

연번상호소재지(도로명)소재지(지번)업종명데이터기준일자
01시장게임랜드인천광역시 서구 석곶로 17, 2층 (가정동)인천광역시 서구 가정동 504-17 2층청소년게임제공업2022-08-31
12짱뽑기방인천광역시 서구 신석로 79, 1층 3호 (석남동, 무한빌딩)인천광역시 서구 석남동 477 무한빌딩 1층 3호청소년게임제공업2022-08-31
23인형뽑기인천광역시 서구 서곶로301번길 16, 1층 113호 (심곡동, 태영프라자)인천광역시 서구 심곡동 245-6 태영프라자 1층 113호청소년게임제공업2022-08-31
34뽑기1번지인천광역시 서구 원창로 225, 1층 (가정동)인천광역시 서구 가정동 507-7 1층청소년게임제공업2022-08-31
45해피하우스 인형뽑기인천광역시 서구 원창로 198, 1층 (신현동)인천광역시 서구 신현동 282-34 1층청소년게임제공업2022-08-31
56인형뽑기인천광역시 서구 석곶로 2, 1층층 (가정동, 형제빌딩)인천광역시 서구 가정동 507-5 1층청소년게임제공업2022-08-31
67인형뽑기대왕인천광역시 서구 거북로 82, 1층 (석남동)인천광역시 서구 석남동 586-3 1층청소년게임제공업2022-08-31
78게임파크(GAME PARK)인천광역시 서구 봉수대로 806, 인천아시아드주경기장 1층 롯데시네마 내 (연희동)인천광역시 서구 연희동 378 인천아시아드주경기장청소년게임제공업2022-08-31
89퍼니랜드인천광역시 서구 승학로495번길 1, 102호 (검암동, 우영프라자)인천광역시 서구 검암동 599-6 우영프라자 102호청소년게임제공업2022-08-31
910뽑기오빠인천광역시 서구 중봉대로612번길 10-20, 청라프라자 113호 (청라동)인천광역시 서구 청라동 162-7 청라프라자청소년게임제공업2022-08-31
연번상호소재지(도로명)소재지(지번)업종명데이터기준일자
3940플레이존인천광역시 서구 청라루비로 76, 청라 스퀘어7 321호 (청라동)인천광역시 서구 청라동 155-7 청라 스퀘어7청소년게임제공업2022-08-31
4041나와라요뽑기#인천광역시 서구 대평로8번길 14, 107호 (연희동)인천광역시 서구 연희동 687-17청소년게임제공업2022-08-31
4142뽑기LAB인천광역시 서구 중봉대로586번길 9-11, 청라매그놀리아오피스텔 B11호 (청라동)인천광역시 서구 청라동 162-16 청라매그놀리아오피스텔청소년게임제공업2022-08-31
4243킹게임랜드인천광역시 서구 율도로 108, 2층 201호 (석남동)인천광역시 서구 석남동 461-1청소년게임제공업2022-08-31
4344멘탈플스인천광역시 서구 중봉대로612번길 10-20, 청라프라자 3층 303,304호 (청라동)인천광역시 서구 청라동 162-7 청라프라자청소년게임제공업2022-08-31
4445뽑기짱인천광역시 서구 이음5로 70, 새샘프라자 107호 (원당동)인천광역시 서구 원당동 1030-5 새샘프라자 107호청소년게임제공업2022-08-31
4546넌김에다뽑아인천광역시 서구 건지로284번길 54-1, 1층 (가좌동)인천광역시 서구 가좌동 145-53청소년게임제공업2022-08-31
4647원당뽑기인천광역시 서구 고산후로121번길 15, 삼경프라자 103호 (원당동)인천광역시 서구 원당동 825-7 삼경프라자청소년게임제공업2022-08-31
4748뽑기GO인천광역시 서구 심곡로 37-5, 1층 (심곡동)인천광역시 서구 심곡동 251-12청소년게임제공업2022-08-31
4849엑스랜드인천광역시 서구 청라루비로 76, 청라 스퀘어7 3층 319호 (청라동)인천광역시 서구 청라동 155-7 청라 스퀘어7청소년게임제공업2022-08-31