Overview

Dataset statistics

Number of variables5
Number of observations148
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.1 KiB
Average record size in memory41.9 B

Variable types

Numeric1
Categorical2
Text2

Dataset

Description부산광역시해운대구_문화유통업현황_20230126
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 16:57:26.639130
Analysis finished2023-12-10 16:57:27.273796
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct148
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.5
Minimum1
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-11T01:57:27.396600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.35
Q137.75
median74.5
Q3111.25
95-th percentile140.65
Maximum148
Range147
Interquartile range (IQR)73.5

Descriptive statistics

Standard deviation42.868014
Coefficient of variation (CV)0.57540959
Kurtosis-1.2
Mean74.5
Median Absolute Deviation (MAD)37
Skewness0
Sum11026
Variance1837.6667
MonotonicityStrictly increasing
2023-12-11T01:57:27.595915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
Other values (138) 138
93.2%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
노래연습장업
148 

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 148
100.0%

Length

2023-12-11T01:57:27.779532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:27.911813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 148
100.0%

상호명
Text

Distinct138
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T01:57:28.151241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length5.8040541
Min length1

Characters and Unicode

Total characters859
Distinct characters196
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

Unique130 ?
Unique (%)87.8%

Sample

1st row서울노래연습장
2nd row짱
3rd row지구촌 노래연습장
4th row카니발
5th row소나타
ValueCountFrequency (%)
노래연습장 33
 
17.1%
궁전 3
 
1.6%
팡팡 3
 
1.6%
아리아 2
 
1.0%
코인노래연습장 2
 
1.0%
동전노래연습장 2
 
1.0%
강변 2
 
1.0%
샾 2
 
1.0%
페퍼코인 2
 
1.0%
짱 2
 
1.0%
Other values (134) 140
72.5%
2023-12-11T01:57:28.636772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
래 77
 
9.0%
장 76
 
8.8%
연 76
 
8.8%
노 74
 
8.6%
습 74
 
8.6%
45
 
5.2%
스 16
 
1.9%
이 15
 
1.7%
인 12
 
1.4%
동 11
 
1.3%
Other values (186) 383
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 796
92.7%
Space Separator 45
 
5.2%
Uppercase Letter 8
 
0.9%
Decimal Number 7
 
0.8%
Open Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
래 77
 
9.7%
장 76
 
9.5%
연 76
 
9.5%
노 74
 
9.3%
습 74
 
9.3%
스 16
 
2.0%
이 15
 
1.9%
인 12
 
1.5%
동 11
 
1.4%
코 11
 
1.4%
Other values (173) 354
44.5%
Uppercase Letter
ValueCountFrequency (%)
E 2
25.0%
N 2
25.0%
T 1
12.5%
Y 1
12.5%
P 1
12.5%
H 1
12.5%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
0 2
28.6%
2 2
28.6%
Space Separator
ValueCountFrequency (%)
45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
% 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 796
92.7%
Common 55
 
6.4%
Latin 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
래 77
 
9.7%
장 76
 
9.5%
연 76
 
9.5%
노 74
 
9.3%
습 74
 
9.3%
스 16
 
2.0%
이 15
 
1.9%
인 12
 
1.5%
동 11
 
1.4%
코 11
 
1.4%
Other values (173) 354
44.5%
Common
ValueCountFrequency (%)
45
81.8%
1 3
 
5.5%
0 2
 
3.6%
2 2
 
3.6%
( 1
 
1.8%
% 1
 
1.8%
) 1
 
1.8%
Latin
ValueCountFrequency (%)
E 2
25.0%
N 2
25.0%
T 1
12.5%
Y 1
12.5%
P 1
12.5%
H 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 796
92.7%
ASCII 63
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
래 77
 
9.7%
장 76
 
9.5%
연 76
 
9.5%
노 74
 
9.3%
습 74
 
9.3%
스 16
 
2.0%
이 15
 
1.9%
인 12
 
1.5%
동 11
 
1.4%
코 11
 
1.4%
Other values (173) 354
44.5%
ASCII
ValueCountFrequency (%)
45
71.4%
1 3
 
4.8%
E 2
 
3.2%
N 2
 
3.2%
0 2
 
3.2%
2 2
 
3.2%
T 1
 
1.6%
( 1
 
1.6%
Y 1
 
1.6%
P 1
 
1.6%
Other values (3) 3
 
4.8%

영업소도로명소재지
Text

Distinct146
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-11T01:57:28.945365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length29.094595
Min length22

Characters and Unicode

Total characters4306
Distinct characters120
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

Unique145 ?
Unique (%)98.0%

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 148
17.9%
해운대구 148
17.9%
반여동 35
 
4.2%
재송동 34
 
4.1%
재반로 32
 
3.9%
좌동 25
 
3.0%
지하1층 25
 
3.0%
반송동 22
 
2.7%
2층 17
 
2.1%
중동 16
 
1.9%
Other values (212) 323
39.2%
2023-12-11T01:57:29.503457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
677
 
15.7%
1 186
 
4.3%
동 169
 
3.9%
운 166
 
3.9%
대 165
 
3.8%
해 164
 
3.8%
구 151
 
3.5%
광 150
 
3.5%
시 150
 
3.5%
산 149
 
3.5%
Other values (110) 2179
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2598
60.3%
Space Separator 677
 
15.7%
Decimal Number 627
 
14.6%
Close Punctuation 148
 
3.4%
Open Punctuation 148
 
3.4%
Other Punctuation 72
 
1.7%
Dash Punctuation 35
 
0.8%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 169
 
6.5%
운 166
 
6.4%
대 165
 
6.4%
해 164
 
6.3%
구 151
 
5.8%
광 150
 
5.8%
시 150
 
5.8%
산 149
 
5.7%
부 148
 
5.7%
역 148
 
5.7%
Other values (94) 1038
40.0%
Decimal Number
ValueCountFrequency (%)
1 186
29.7%
2 113
18.0%
3 65
 
10.4%
0 52
 
8.3%
4 43
 
6.9%
9 39
 
6.2%
6 35
 
5.6%
5 35
 
5.6%
7 32
 
5.1%
8 27
 
4.3%
Space Separator
ValueCountFrequency (%)
677
100.0%
Close Punctuation
ValueCountFrequency (%)
) 148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 148
100.0%
Other Punctuation
ValueCountFrequency (%)
, 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2598
60.3%
Common 1708
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 169
 
6.5%
운 166
 
6.4%
대 165
 
6.4%
해 164
 
6.3%
구 151
 
5.8%
광 150
 
5.8%
시 150
 
5.8%
산 149
 
5.7%
부 148
 
5.7%
역 148
 
5.7%
Other values (94) 1038
40.0%
Common
ValueCountFrequency (%)
677
39.6%
1 186
 
10.9%
) 148
 
8.7%
( 148
 
8.7%
2 113
 
6.6%
, 72
 
4.2%
3 65
 
3.8%
0 52
 
3.0%
4 43
 
2.5%
9 39
 
2.3%
Other values (6) 165
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2598
60.3%
ASCII 1708
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
677
39.6%
1 186
 
10.9%
) 148
 
8.7%
( 148
 
8.7%
2 113
 
6.6%
, 72
 
4.2%
3 65
 
3.8%
0 52
 
3.0%
4 43
 
2.5%
9 39
 
2.3%
Other values (6) 165
 
9.7%
Hangul
ValueCountFrequency (%)
동 169
 
6.5%
운 166
 
6.4%
대 165
 
6.4%
해 164
 
6.3%
구 151
 
5.8%
광 150
 
5.8%
시 150
 
5.8%
산 149
 
5.7%
부 148
 
5.7%
역 148
 
5.7%
Other values (94) 1038
40.0%

청소년실(유무)
Categorical

Distinct48
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
무-총실수(5)
14 
유-총실수(5) 청소년실수(1)
11 
무-총실수(4)
 
9
무-총실수(9)
 
7
무-총실수(6)
 
7
Other values (43)
100 

Length

Max length19
Median length17
Mean length14.263514
Min length8

Unique

Unique20 ?
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 (%)
무-총실수(5) 14
 
9.5%
유-총실수(5) 청소년실수(1) 11
 
7.4%
무-총실수(4) 9
 
6.1%
무-총실수(9) 7
 
4.7%
무-총실수(6) 7
 
4.7%
유-총실수(9) 청소년실수(2) 6
 
4.1%
유-총실수(6) 청소년실수(1) 6
 
4.1%
유-총실수(8) 청소년실수(1) 6
 
4.1%
유-총실수(5) 청소년실수(2) 6
 
4.1%
무-총실수(7) 6
 
4.1%
Other values (38) 70
47.3%

Length

2023-12-11T01:57:29.722485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청소년실수(1 36
14.6%
청소년실수(2 26
 
10.5%
유-총실수(5 19
 
7.7%
무-총실수(5 14
 
5.7%
유-총실수(8 14
 
5.7%
유-총실수(7 14
 
5.7%
청소년실수(3 11
 
4.5%
유-총실수(9 11
 
4.5%
유-총실수(6 11
 
4.5%
무-총실수(4 9
 
3.6%
Other values (34) 82
33.2%

Interactions

2023-12-11T01:57:26.913924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:57:29.823592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번청소년실(유무)
연번1.0000.569
청소년실(유무)0.5691.000
2023-12-11T01:57:30.266260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번청소년실(유무)
연번1.0000.192
청소년실(유무)0.1921.000

Missing values

2023-12-11T01:57:27.079125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:57:27.213633image/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(유무)
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(유무)
138139노래연습장업코인스타 노래연습장부산광역시 해운대구 재반로 116, 401호 (재송동)유-총실수(21) 청소년실수(20)
139140노래연습장업킹 노래연습장부산광역시 해운대구 반송로 918, 동원장 지하1층 (반송동)유-총실수(5) 청소년실수(1)
140141노래연습장업불놀이야노래연습장부산광역시 해운대구 해운대해변로 389, 지하1층 (중동)무-총실수(5)
141142노래연습장업페퍼코인 노래연습장부산광역시 해운대구 마린시티3로 23, 벽산이오렌지프라자 306~308호 (우동)유-총실수(15) 청소년실수(15)
142143노래연습장업컴온코인노래연습장부산광역시 해운대구 세실로27번길 11, 대승코아 지하1층 (좌동)유-총실수(22) 청소년실수()
143144노래연습장업페퍼코인 노래연습장 재송동점부산광역시 해운대구 재반로 115, 2층 (재송동)유-총실수(15) 청소년실수(15)
144145노래연습장업백프로(100%) 노래연습장부산광역시 해운대구 세실로69번길 11, 5층 (좌동)무-총실수(5)
145146노래연습장업이번코인노래연습장부산광역시 해운대구 해운대로383번길 35, 지하1층 (우동)무-총실수(10)
146147노래연습장업신호등 노래연습장부산광역시 해운대구 양운로80번길 10, 302호 (좌동)무-총실수(5)
147148노래연습장업친환경노래연습장부산광역시 해운대구 중동1로 34, 중동근생 (중동)무-총실수(7)