Overview

Dataset statistics

Number of variables5
Number of observations155
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory41.9 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description부산광역시해운대구_문화유통업현황_20210118
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075747

Alerts

업종 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:57:32.215032
Analysis finished2023-12-10 16:57:32.953306
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78
Minimum1
Maximum155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-11T01:57:33.101544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.7
Q139.5
median78
Q3116.5
95-th percentile147.3
Maximum155
Range154
Interquartile range (IQR)77

Descriptive statistics

Standard deviation44.888751
Coefficient of variation (CV)0.57549681
Kurtosis-1.2
Mean78
Median Absolute Deviation (MAD)39
Skewness0
Sum12090
Variance2015
MonotonicityStrictly increasing
2023-12-11T01:57:33.324301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
108 1
 
0.6%
101 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
109 1
 
0.6%
Other values (145) 145
93.5%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%
147 1
0.6%
146 1
0.6%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
노래연습장업
155 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 155
100.0%

Length

2023-12-11T01:57:33.553519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:33.720591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 155
100.0%

상호명
Text

Distinct144
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T01:57:34.104133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length5.4516129
Min length1

Characters and Unicode

Total characters845
Distinct characters203
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

Unique135 ?
Unique (%)87.1%

Sample

1st row서울노래연습장
2nd row짱
3rd row지구촌 노래연습장
4th row카니발
5th row소나타
ValueCountFrequency (%)
노래연습장 30
 
15.2%
팡팡 3
 
1.5%
궁전 3
 
1.5%
동전노래연습장 2
 
1.0%
페퍼코인 2
 
1.0%
강변 2
 
1.0%
샾 2
 
1.0%
대박 2
 
1.0%
코인노래연습장 2
 
1.0%
락휴 2
 
1.0%
Other values (140) 147
74.6%
2023-12-11T01:57:34.803618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 72
 
8.5%
연 71
 
8.4%
장 71
 
8.4%
노 69
 
8.2%
습 69
 
8.2%
42
 
5.0%
스 18
 
2.1%
이 14
 
1.7%
리 11
 
1.3%
동 11
 
1.3%
Other values (193) 397
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 781
92.4%
Space Separator 42
 
5.0%
Uppercase Letter 9
 
1.1%
Decimal Number 8
 
0.9%
Lowercase Letter 3
 
0.4%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 72
 
9.2%
연 71
 
9.1%
장 71
 
9.1%
노 69
 
8.8%
습 69
 
8.8%
스 18
 
2.3%
이 14
 
1.8%
리 11
 
1.4%
동 11
 
1.4%
인 11
 
1.4%
Other values (177) 364
46.6%
Uppercase Letter
ValueCountFrequency (%)
N 2
22.2%
E 2
22.2%
S 1
11.1%
Y 1
11.1%
P 1
11.1%
H 1
11.1%
T 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
0 2
25.0%
1 2
25.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
33.3%
o 1
33.3%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 781
92.4%
Common 52
 
6.2%
Latin 12
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 72
 
9.2%
연 71
 
9.1%
장 71
 
9.1%
노 69
 
8.8%
습 69
 
8.8%
스 18
 
2.3%
이 14
 
1.8%
리 11
 
1.4%
동 11
 
1.4%
인 11
 
1.4%
Other values (177) 364
46.6%
Latin
ValueCountFrequency (%)
N 2
16.7%
E 2
16.7%
g 1
8.3%
S 1
8.3%
o 1
8.3%
n 1
8.3%
Y 1
8.3%
P 1
8.3%
H 1
8.3%
T 1
8.3%
Common
ValueCountFrequency (%)
42
80.8%
2 4
 
7.7%
0 2
 
3.8%
1 2
 
3.8%
( 1
 
1.9%
) 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 781
92.4%
ASCII 64
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 72
 
9.2%
연 71
 
9.1%
장 71
 
9.1%
노 69
 
8.8%
습 69
 
8.8%
스 18
 
2.3%
이 14
 
1.8%
리 11
 
1.4%
동 11
 
1.4%
인 11
 
1.4%
Other values (177) 364
46.6%
ASCII
ValueCountFrequency (%)
42
65.6%
2 4
 
6.2%
N 2
 
3.1%
E 2
 
3.1%
0 2
 
3.1%
1 2
 
3.1%
( 1
 
1.6%
g 1
 
1.6%
) 1
 
1.6%
S 1
 
1.6%
Other values (6) 6
 
9.4%

영업소도로명소재지
Text

Distinct153
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T01:57:35.295345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length28.774194
Min length22

Characters and Unicode

Total characters4460
Distinct characters121
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)98.1%

Sample

1st row부산광역시 해운대구 중동1로 32, 지하1층 (중동)
2nd row부산광역시 해운대구 우동3로 10 (우동)
3rd row부산광역시 해운대구 아랫반송로 35-2, 3층 (반송동)
4th row부산광역시 해운대구 아랫반송로59번길 7 (반송동)
5th row부산광역시 해운대구 재반로 209-1 (반여동)
ValueCountFrequency (%)
부산광역시 155
18.1%
해운대구 155
18.1%
반여동 38
 
4.4%
재송동 35
 
4.1%
재반로 33
 
3.9%
좌동 26
 
3.0%
반송동 23
 
2.7%
지하1층 22
 
2.6%
2층 16
 
1.9%
중동 16
 
1.9%
Other values (215) 336
39.3%
2023-12-11T01:57:36.059928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
700
 
15.7%
1 188
 
4.2%
동 175
 
3.9%
운 173
 
3.9%
대 172
 
3.9%
해 171
 
3.8%
시 158
 
3.5%
구 158
 
3.5%
광 157
 
3.5%
산 156
 
3.5%
Other values (111) 2252
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2702
60.6%
Space Separator 700
 
15.7%
Decimal Number 644
 
14.4%
Close Punctuation 155
 
3.5%
Open Punctuation 155
 
3.5%
Other Punctuation 66
 
1.5%
Dash Punctuation 37
 
0.8%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 175
 
6.5%
운 173
 
6.4%
대 172
 
6.4%
해 171
 
6.3%
시 158
 
5.8%
구 158
 
5.8%
광 157
 
5.8%
산 156
 
5.8%
부 155
 
5.7%
역 155
 
5.7%
Other values (95) 1072
39.7%
Decimal Number
ValueCountFrequency (%)
1 188
29.2%
2 117
18.2%
3 67
 
10.4%
0 53
 
8.2%
4 45
 
7.0%
9 42
 
6.5%
5 36
 
5.6%
6 35
 
5.4%
7 33
 
5.1%
8 28
 
4.3%
Space Separator
ValueCountFrequency (%)
700
100.0%
Close Punctuation
ValueCountFrequency (%)
) 155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 155
100.0%
Other Punctuation
ValueCountFrequency (%)
, 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2702
60.6%
Common 1758
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 175
 
6.5%
운 173
 
6.4%
대 172
 
6.4%
해 171
 
6.3%
시 158
 
5.8%
구 158
 
5.8%
광 157
 
5.8%
산 156
 
5.8%
부 155
 
5.7%
역 155
 
5.7%
Other values (95) 1072
39.7%
Common
ValueCountFrequency (%)
700
39.8%
1 188
 
10.7%
) 155
 
8.8%
( 155
 
8.8%
2 117
 
6.7%
3 67
 
3.8%
, 66
 
3.8%
0 53
 
3.0%
4 45
 
2.6%
9 42
 
2.4%
Other values (6) 170
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2702
60.6%
ASCII 1758
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
700
39.8%
1 188
 
10.7%
) 155
 
8.8%
( 155
 
8.8%
2 117
 
6.7%
3 67
 
3.8%
, 66
 
3.8%
0 53
 
3.0%
4 45
 
2.6%
9 42
 
2.4%
Other values (6) 170
 
9.7%
Hangul
ValueCountFrequency (%)
동 175
 
6.5%
운 173
 
6.4%
대 172
 
6.4%
해 171
 
6.3%
시 158
 
5.8%
구 158
 
5.8%
광 157
 
5.8%
산 156
 
5.8%
부 155
 
5.7%
역 155
 
5.7%
Other values (95) 1072
39.7%

청소년실(유,무)
Categorical

Distinct49
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
유-총실수(5) 청소년실수(1)
14 
무-총실수(5)
13 
무-총실수(4)
 
9
무-총실수(9)
 
7
무-총실수(6)
 
7
Other values (44)
105 

Length

Max length19
Median length17
Mean length14.445161
Min length8

Unique

Unique21 ?
Unique (%)13.5%

Sample

1st row유-총실수(7) 청소년실수(7)
2nd row유-총실수(7) 청소년실수(2)
3rd row유-총실수(9) 청소년실수(2)
4th row유-총실수(7) 청소년실수(1)
5th row유-총실수(6) 청소년실수(1)

Common Values

ValueCountFrequency (%)
유-총실수(5) 청소년실수(1) 14
 
9.0%
무-총실수(5) 13
 
8.4%
무-총실수(4) 9
 
5.8%
무-총실수(9) 7
 
4.5%
무-총실수(6) 7
 
4.5%
유-총실수(9) 청소년실수(2) 7
 
4.5%
유-총실수(7) 청소년실수(1) 6
 
3.9%
유-총실수(6) 청소년실수(1) 6
 
3.9%
유-총실수(8) 청소년실수(1) 6
 
3.9%
유-총실수(5) 청소년실수(2) 5
 
3.2%
Other values (39) 75
48.4%

Length

2023-12-11T01:57:36.314054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청소년실수(1 41
15.6%
청소년실수(2 28
 
10.7%
유-총실수(5 22
 
8.4%
유-총실수(7 16
 
6.1%
유-총실수(8 15
 
5.7%
무-총실수(5 13
 
5.0%
유-총실수(9 12
 
4.6%
유-총실수(6 12
 
4.6%
청소년실수(3 11
 
4.2%
무-총실수(4 9
 
3.4%
Other values (35) 83
31.7%

Interactions

2023-12-11T01:57:32.541723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:57:36.460965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번청소년실(유,무)
연번1.0000.645
청소년실(유,무)0.6451.000
2023-12-11T01:57:36.612425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번청소년실(유,무)
연번1.0000.231
청소년실(유,무)0.2311.000

Missing values

2023-12-11T01:57:32.737963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:57:32.880188image/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

연번업종상호명영업소도로명소재지청소년실(유,무)
01노래연습장업서울노래연습장부산광역시 해운대구 중동1로 32, 지하1층 (중동)유-총실수(7) 청소년실수(7)
12노래연습장업짱부산광역시 해운대구 우동3로 10 (우동)유-총실수(7) 청소년실수(2)
23노래연습장업지구촌 노래연습장부산광역시 해운대구 아랫반송로 35-2, 3층 (반송동)유-총실수(9) 청소년실수(2)
34노래연습장업카니발부산광역시 해운대구 아랫반송로59번길 7 (반송동)유-총실수(7) 청소년실수(1)
45노래연습장업소나타부산광역시 해운대구 재반로 209-1 (반여동)유-총실수(6) 청소년실수(1)
56노래연습장업무지개노래연습장부산광역시 해운대구 재반로242번길 12 (반여동)유-총실수(4) 청소년실수(3)
67노래연습장업나이스노래연습장부산광역시 해운대구 재반로256번길 11, 2층 (반여동)유-총실수(8) 청소년실수(1)
78노래연습장업파트너노래연습장부산광역시 해운대구 송정중앙로 10, 지하1층 (송정동)유-총실수(9) 청소년실수(4)
89노래연습장업대연노래연습장부산광역시 해운대구 송정중앙로 27-1 (송정동)무-총실수(5)
910노래연습장업칸타타 노래연습장부산광역시 해운대구 재반로 59-1, 우리공인중개사 지하1층 (재송동)유-총실수(5) 청소년실수(2)
연번업종상호명영업소도로명소재지청소년실(유,무)
145146노래연습장업아이코인노래연습장부산광역시 해운대구 구남로 29, 2층 (중동)유-총실수(30) 청소년실수(30)
146147노래연습장업또또동전노래연습장부산광역시 해운대구 세실로69번길 7, 3층 (좌동)유-총실수(43) 청소년실수(40)
147148노래연습장업코인스타 노래연습장부산광역시 해운대구 재반로 116, 401호 (재송동)유-총실수(21) 청소년실수(20)
148149노래연습장업신호등부산광역시 해운대구 양운로80번길 10, 3층 (좌동, 명정빌라)무-총실수(5)
149150노래연습장업킹 노래연습장부산광역시 해운대구 반송로 918, 동원장 지하1층 (반송동)유-총실수(5) 청소년실수(1)
150151노래연습장업마실노래연습장부산광역시 해운대구 선수촌로 149, 2층 (반여동)유-총실수(5) 청소년실수(5)
151152노래연습장업불놀이야노래연습장부산광역시 해운대구 해운대해변로 389, 지하1층 (중동)무-총실수(5)
152153노래연습장업페퍼코인 노래연습장부산광역시 해운대구 마린시티3로 23, 벽산이오렌지프라자 306~308호 (우동)유-총실수(15) 청소년실수(15)
153154노래연습장업컴온코인노래연습장부산광역시 해운대구 세실로27번길 11, 대승코아 지하1층 (좌동)유-총실수(22) 청소년실수()
154155노래연습장업페퍼코인 노래연습장 재송동점부산광역시 해운대구 재반로 115, 2층 (재송동)유-총실수(15) 청소년실수(15)