Overview

Dataset statistics

Number of variables6
Number of observations198
Missing cells125
Missing cells (%)10.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory49.7 B

Variable types

Numeric1
Categorical1
Text3
DateTime1

Dataset

Description인천광역시 남동구 당구장업에 대한 데이터로 연번, 업종, 상호, 시설주소, 시설전화번호, 데이터기준일을 제공합니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15088978

Alerts

업종 has constant value ""Constant
데이터기준일 has constant value ""Constant
시설전화번호 has 125 (63.1%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:35:07.497462
Analysis finished2024-01-28 06:35:07.989192
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct198
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.5
Minimum1
Maximum198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-01-28T15:35:08.045076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.85
Q150.25
median99.5
Q3148.75
95-th percentile188.15
Maximum198
Range197
Interquartile range (IQR)98.5

Descriptive statistics

Standard deviation57.301832
Coefficient of variation (CV)0.57589781
Kurtosis-1.2
Mean99.5
Median Absolute Deviation (MAD)49.5
Skewness0
Sum19701
Variance3283.5
MonotonicityStrictly increasing
2024-01-28T15:35:08.151964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
126 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
133 1
 
0.5%
134 1
 
0.5%
135 1
 
0.5%
Other values (188) 188
94.9%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
198 1
0.5%
197 1
0.5%
196 1
0.5%
195 1
0.5%
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
당구장업
198 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 198
100.0%

Length

2024-01-28T15:35:08.250450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:35:08.315747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 198
100.0%

상호
Text

Distinct169
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-28T15:35:08.521059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.8181818
Min length4

Characters and Unicode

Total characters1350
Distinct characters209
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

Unique151 ?
Unique (%)76.3%

Sample

1st row길 당구장
2nd rowC.C당구장
3rd row제일당구장
4th row굿타임당구장
5th row현당구장
ValueCountFrequency (%)
당구장 45
 
14.0%
당구클럽 45
 
14.0%
sbs당구장 8
 
2.5%
클럽 6
 
1.9%
sbs 5
 
1.6%
선 3
 
0.9%
ibs 3
 
0.9%
프로당구클럽 3
 
0.9%
당구마을 3
 
0.9%
원 3
 
0.9%
Other values (176) 197
61.4%
2024-01-28T15:35:08.880224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 185
 
13.7%
구 185
 
13.7%
123
 
9.1%
장 100
 
7.4%
럽 86
 
6.4%
클 86
 
6.4%
S 44
 
3.3%
B 35
 
2.6%
스 15
 
1.1%
드 12
 
0.9%
Other values (199) 479
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1041
77.1%
Uppercase Letter 131
 
9.7%
Space Separator 123
 
9.1%
Lowercase Letter 27
 
2.0%
Decimal Number 20
 
1.5%
Other Punctuation 6
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 185
17.8%
구 185
17.8%
장 100
 
9.6%
럽 86
 
8.3%
클 86
 
8.3%
스 15
 
1.4%
드 12
 
1.2%
이 12
 
1.2%
프 12
 
1.2%
아 11
 
1.1%
Other values (158) 337
32.4%
Uppercase Letter
ValueCountFrequency (%)
S 44
33.6%
B 35
26.7%
C 9
 
6.9%
I 8
 
6.1%
K 7
 
5.3%
M 5
 
3.8%
N 4
 
3.1%
J 4
 
3.1%
P 4
 
3.1%
O 3
 
2.3%
Other values (6) 8
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
l 5
18.5%
i 5
18.5%
o 2
 
7.4%
a 2
 
7.4%
t 2
 
7.4%
u 2
 
7.4%
c 2
 
7.4%
n 1
 
3.7%
e 1
 
3.7%
f 1
 
3.7%
Other values (4) 4
14.8%
Decimal Number
ValueCountFrequency (%)
3 5
25.0%
2 5
25.0%
0 4
20.0%
1 3
15.0%
5 2
 
10.0%
7 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
& 2
33.3%
Space Separator
ValueCountFrequency (%)
123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1041
77.1%
Latin 158
 
11.7%
Common 151
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 185
17.8%
구 185
17.8%
장 100
 
9.6%
럽 86
 
8.3%
클 86
 
8.3%
스 15
 
1.4%
드 12
 
1.2%
이 12
 
1.2%
프 12
 
1.2%
아 11
 
1.1%
Other values (158) 337
32.4%
Latin
ValueCountFrequency (%)
S 44
27.8%
B 35
22.2%
C 9
 
5.7%
I 8
 
5.1%
K 7
 
4.4%
l 5
 
3.2%
M 5
 
3.2%
i 5
 
3.2%
N 4
 
2.5%
J 4
 
2.5%
Other values (20) 32
20.3%
Common
ValueCountFrequency (%)
123
81.5%
3 5
 
3.3%
2 5
 
3.3%
0 4
 
2.6%
. 4
 
2.6%
1 3
 
2.0%
5 2
 
1.3%
& 2
 
1.3%
7 1
 
0.7%
( 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1041
77.1%
ASCII 309
 
22.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 185
17.8%
구 185
17.8%
장 100
 
9.6%
럽 86
 
8.3%
클 86
 
8.3%
스 15
 
1.4%
드 12
 
1.2%
이 12
 
1.2%
프 12
 
1.2%
아 11
 
1.1%
Other values (158) 337
32.4%
ASCII
ValueCountFrequency (%)
123
39.8%
S 44
 
14.2%
B 35
 
11.3%
C 9
 
2.9%
I 8
 
2.6%
K 7
 
2.3%
3 5
 
1.6%
l 5
 
1.6%
2 5
 
1.6%
M 5
 
1.6%
Other values (31) 63
20.4%

시설주소(도로명)
Text

Distinct193
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-01-28T15:35:09.114256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length44.5
Mean length32.247475
Min length21

Characters and Unicode

Total characters6385
Distinct characters183
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

Unique189 ?
Unique (%)95.5%

Sample

1st row인천광역시 남동구 하촌로 67 (만수동)
2nd row인천광역시 남동구 석산로 112 (간석동)
3rd row인천광역시 남동구 남촌동로 30-1 (남촌동)
4th row인천광역시 남동구 만수로19번길 3 (만수동)
5th row인천광역시 남동구 남동대로262번길 14 (논현동)
ValueCountFrequency (%)
인천광역시 198
 
16.1%
남동구 198
 
16.1%
만수동 45
 
3.7%
구월동 43
 
3.5%
2층 38
 
3.1%
논현동 29
 
2.4%
간석동 28
 
2.3%
3층 21
 
1.7%
구월로 15
 
1.2%
4층 12
 
1.0%
Other values (391) 602
49.0%
2024-01-28T15:35:09.481180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1064
 
16.7%
동 424
 
6.6%
구 296
 
4.6%
남 249
 
3.9%
인 216
 
3.4%
( 213
 
3.3%
) 213
 
3.3%
, 210
 
3.3%
시 203
 
3.2%
역 202
 
3.2%
Other values (173) 3095
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3613
56.6%
Space Separator 1064
 
16.7%
Decimal Number 1025
 
16.1%
Open Punctuation 213
 
3.3%
Close Punctuation 213
 
3.3%
Other Punctuation 211
 
3.3%
Dash Punctuation 22
 
0.3%
Uppercase Letter 11
 
0.2%
Math Symbol 9
 
0.1%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 424
 
11.7%
구 296
 
8.2%
남 249
 
6.9%
인 216
 
6.0%
시 203
 
5.6%
역 202
 
5.6%
천 202
 
5.6%
로 200
 
5.5%
광 199
 
5.5%
층 120
 
3.3%
Other values (143) 1302
36.0%
Decimal Number
ValueCountFrequency (%)
2 178
17.4%
1 151
14.7%
3 143
14.0%
0 122
11.9%
4 106
10.3%
5 88
8.6%
6 78
7.6%
7 63
 
6.1%
8 56
 
5.5%
9 40
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
27.3%
B 1
 
9.1%
S 1
 
9.1%
Z 1
 
9.1%
L 1
 
9.1%
P 1
 
9.1%
D 1
 
9.1%
T 1
 
9.1%
H 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 210
99.5%
& 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1064
100.0%
Open Punctuation
ValueCountFrequency (%)
( 213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3613
56.6%
Common 2757
43.2%
Latin 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 424
 
11.7%
구 296
 
8.2%
남 249
 
6.9%
인 216
 
6.0%
시 203
 
5.6%
역 202
 
5.6%
천 202
 
5.6%
로 200
 
5.5%
광 199
 
5.5%
층 120
 
3.3%
Other values (143) 1302
36.0%
Common
ValueCountFrequency (%)
1064
38.6%
( 213
 
7.7%
) 213
 
7.7%
, 210
 
7.6%
2 178
 
6.5%
1 151
 
5.5%
3 143
 
5.2%
0 122
 
4.4%
4 106
 
3.8%
5 88
 
3.2%
Other values (7) 269
 
9.8%
Latin
ValueCountFrequency (%)
A 3
20.0%
B 1
 
6.7%
S 1
 
6.7%
Z 1
 
6.7%
L 1
 
6.7%
P 1
 
6.7%
D 1
 
6.7%
r 1
 
6.7%
e 1
 
6.7%
w 1
 
6.7%
Other values (3) 3
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3613
56.6%
ASCII 2772
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1064
38.4%
( 213
 
7.7%
) 213
 
7.7%
, 210
 
7.6%
2 178
 
6.4%
1 151
 
5.4%
3 143
 
5.2%
0 122
 
4.4%
4 106
 
3.8%
5 88
 
3.2%
Other values (20) 284
 
10.2%
Hangul
ValueCountFrequency (%)
동 424
 
11.7%
구 296
 
8.2%
남 249
 
6.9%
인 216
 
6.0%
시 203
 
5.6%
역 202
 
5.6%
천 202
 
5.6%
로 200
 
5.5%
광 199
 
5.5%
층 120
 
3.3%
Other values (143) 1302
36.0%

시설전화번호
Text

MISSING 

Distinct71
Distinct (%)97.3%
Missing125
Missing (%)63.1%
Memory size1.7 KiB
2024-01-28T15:35:09.865733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.054795
Min length10

Characters and Unicode

Total characters880
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)95.9%

Sample

1st row032-429-0251
2nd row032-435-1147
3rd row032-438-1690
4th row032-461-9005
5th row032-818-8355
ValueCountFrequency (%)
032-423-4074 3
 
4.1%
032-439-9115 1
 
1.4%
032-429-0251 1
 
1.4%
070-8141-7644 1
 
1.4%
7081174987 1
 
1.4%
032-431-4440 1
 
1.4%
032-462-9990 1
 
1.4%
070-8201-4939 1
 
1.4%
032-422-7758 1
 
1.4%
070-7799-3949 1
 
1.4%
Other values (61) 61
83.6%
2024-01-28T15:35:10.144904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 144
16.4%
2 126
14.3%
0 121
13.8%
3 118
13.4%
4 113
12.8%
7 57
 
6.5%
9 50
 
5.7%
6 43
 
4.9%
1 40
 
4.5%
8 36
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
83.6%
Dash Punctuation 144
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 126
17.1%
0 121
16.4%
3 118
16.0%
4 113
15.4%
7 57
7.7%
9 50
 
6.8%
6 43
 
5.8%
1 40
 
5.4%
8 36
 
4.9%
5 32
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 880
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 144
16.4%
2 126
14.3%
0 121
13.8%
3 118
13.4%
4 113
12.8%
7 57
 
6.5%
9 50
 
5.7%
6 43
 
4.9%
1 40
 
4.5%
8 36
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 144
16.4%
2 126
14.3%
0 121
13.8%
3 118
13.4%
4 113
12.8%
7 57
 
6.5%
9 50
 
5.7%
6 43
 
4.9%
1 40
 
4.5%
8 36
 
4.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-08-02 00:00:00
Maximum2023-08-02 00:00:00
2024-01-28T15:35:10.237732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T15:35:10.301724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T15:35:07.762616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:35:10.353406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설전화번호
연번1.0001.000
시설전화번호1.0001.000

Missing values

2024-01-28T15:35:07.882298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:35:07.957915image/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

연번업종상호시설주소(도로명)시설전화번호데이터기준일
01당구장업길 당구장인천광역시 남동구 하촌로 67 (만수동)032-429-02512023-08-02
12당구장업C.C당구장인천광역시 남동구 석산로 112 (간석동)032-435-11472023-08-02
23당구장업제일당구장인천광역시 남동구 남촌동로 30-1 (남촌동)032-438-16902023-08-02
34당구장업굿타임당구장인천광역시 남동구 만수로19번길 3 (만수동)032-461-90052023-08-02
45당구장업현당구장인천광역시 남동구 남동대로262번길 14 (논현동)032-818-83552023-08-02
56당구장업샤넬당구장인천광역시 남동구 백범로 220 (만수동)032-464-92022023-08-02
67당구장업SBS당구장인천광역시 남동구 구월로276번길 26 (구월동)032-463-06262023-08-02
78당구장업찬스당구장인천광역시 남동구 하촌로71번길 15 (만수동)032-466-17772023-08-02
89당구장업SBS당구장인천광역시 남동구 석정로 515 (간석동)032-435-32282023-08-02
910당구장업길당구클럽인천광역시 남동구 백범로 203 (만수동,(203호))032-465-51882023-08-02
연번업종상호시설주소(도로명)시설전화번호데이터기준일
188189당구장업정각당구클럽인천광역시 남동구 용천로 87, 흥인빌딩 3층 305호 (구월동)<NA>2023-08-02
189190당구장업푸르지오 당구클럽인천광역시 남동구 청능대로289번길 73, 501호 (고잔동)<NA>2023-08-02
190191당구장업놀터 당구장인천광역시 남동구 하촌서로47번길 39, 2층 (만수동)<NA>2023-08-02
191192당구장업챔프당구장인천광역시 남동구 장승로 21, 장승백이상가 301호 (만수동)<NA>2023-08-02
192193당구장업동양당구클럽인천광역시 남동구 논고개로 61, 라피에스타 501호 (논현동)<NA>2023-08-02
193194당구장업프라자 당구장인천광역시 남동구 장승남로 36, 2층 201~2호 (만수동)<NA>2023-08-02
194195당구장업선 당구장인천광역시 남동구 남동대로 881, 1층 105호 (간석동)032-423-40742023-08-02
195196당구장업제이디 당구클럽인천광역시 남동구 장승남로 40, 한별프라자 4층 (만수동)<NA>2023-08-02
196197당구장업123 당구장인천광역시 남동구 백범로214번길 7, 2층 (만수동)<NA>2023-08-02
197198당구장업선 당구장인천광역시 남동구 남동대로 881, 1층 105호 (간석동)032-423-40742023-08-02