Overview

Dataset statistics

Number of variables5
Number of observations2868
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory115.0 KiB
Average record size in memory41.0 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description부산광역시동래구_옥외광고물_허가관리정보_20230216
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15086600

Alerts

구분 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:20:15.038401
Analysis finished2023-12-10 17:20:17.008319
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct2868
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1434.5
Minimum1
Maximum2868
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size25.3 KiB
2023-12-11T02:20:17.196725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile144.35
Q1717.75
median1434.5
Q32151.25
95-th percentile2724.65
Maximum2868
Range2867
Interquartile range (IQR)1433.5

Descriptive statistics

Standard deviation828.06461
Coefficient of variation (CV)0.57724964
Kurtosis-1.2
Mean1434.5
Median Absolute Deviation (MAD)717
Skewness0
Sum4114146
Variance685691
MonotonicityStrictly increasing
2023-12-11T02:20:17.491502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1929 1
 
< 0.1%
1909 1
 
< 0.1%
1910 1
 
< 0.1%
1911 1
 
< 0.1%
1912 1
 
< 0.1%
1913 1
 
< 0.1%
1914 1
 
< 0.1%
1915 1
 
< 0.1%
1916 1
 
< 0.1%
Other values (2858) 2858
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2868 1
< 0.1%
2867 1
< 0.1%
2866 1
< 0.1%
2865 1
< 0.1%
2864 1
< 0.1%
2863 1
< 0.1%
2862 1
< 0.1%
2861 1
< 0.1%
2860 1
< 0.1%
2859 1
< 0.1%

업소명
Text

Distinct2181
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
2023-12-11T02:20:18.055510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length7.4344491
Min length2

Characters and Unicode

Total characters21322
Distinct characters743
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1901 ?
Unique (%)66.3%

Sample

1st row에이치에스케이모터스
2nd row명국에너지서비스
3rd row태양가든
4th row부산은행 온천동금융센터
5th row에스에스모텔
ValueCountFrequency (%)
뉴미디어기획(주 151
 
4.8%
주)삼원기업 61
 
1.9%
주)에스유미디어 43
 
1.4%
주)태영티엔티 39
 
1.2%
티지엠씨지점 39
 
1.2%
주)애드스토리 33
 
1.0%
주)비지에프리테일 17
 
0.5%
주)가이던스 12
 
0.4%
와우미디어 10
 
0.3%
주)락미디어 10
 
0.3%
Other values (2292) 2743
86.9%
2023-12-11T02:20:18.923955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 623
 
2.9%
주 577
 
2.7%
) 532
 
2.5%
( 530
 
2.5%
동 453
 
2.1%
스 419
 
2.0%
점 387
 
1.8%
어 383
 
1.8%
미 355
 
1.7%
사 341
 
1.6%
Other values (733) 16722
78.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19110
89.6%
Close Punctuation 532
 
2.5%
Open Punctuation 530
 
2.5%
Uppercase Letter 508
 
2.4%
Space Separator 290
 
1.4%
Decimal Number 202
 
0.9%
Lowercase Letter 124
 
0.6%
Other Punctuation 18
 
0.1%
Dash Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 623
 
3.3%
주 577
 
3.0%
동 453
 
2.4%
스 419
 
2.2%
점 387
 
2.0%
어 383
 
2.0%
미 355
 
1.9%
사 341
 
1.8%
이 298
 
1.6%
의 298
 
1.6%
Other values (670) 14976
78.4%
Uppercase Letter
ValueCountFrequency (%)
S 65
12.8%
G 42
 
8.3%
T 40
 
7.9%
C 37
 
7.3%
K 36
 
7.1%
M 35
 
6.9%
E 35
 
6.9%
O 28
 
5.5%
U 23
 
4.5%
P 22
 
4.3%
Other values (13) 145
28.5%
Lowercase Letter
ValueCountFrequency (%)
c 16
12.9%
e 16
12.9%
o 10
 
8.1%
a 10
 
8.1%
s 8
 
6.5%
l 8
 
6.5%
n 7
 
5.6%
i 7
 
5.6%
m 6
 
4.8%
p 6
 
4.8%
Other values (11) 30
24.2%
Decimal Number
ValueCountFrequency (%)
2 58
28.7%
5 30
14.9%
1 26
12.9%
4 26
12.9%
3 21
 
10.4%
0 17
 
8.4%
7 9
 
4.5%
6 7
 
3.5%
9 4
 
2.0%
8 4
 
2.0%
Other Punctuation
ValueCountFrequency (%)
& 12
66.7%
. 3
 
16.7%
' 1
 
5.6%
# 1
 
5.6%
/ 1
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 532
100.0%
Open Punctuation
ValueCountFrequency (%)
( 530
100.0%
Space Separator
ValueCountFrequency (%)
290
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19109
89.6%
Common 1580
 
7.4%
Latin 632
 
3.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 623
 
3.3%
주 577
 
3.0%
동 453
 
2.4%
스 419
 
2.2%
점 387
 
2.0%
어 383
 
2.0%
미 355
 
1.9%
사 341
 
1.8%
이 298
 
1.6%
의 298
 
1.6%
Other values (669) 14975
78.4%
Latin
ValueCountFrequency (%)
S 65
 
10.3%
G 42
 
6.6%
T 40
 
6.3%
C 37
 
5.9%
K 36
 
5.7%
M 35
 
5.5%
E 35
 
5.5%
O 28
 
4.4%
U 23
 
3.6%
P 22
 
3.5%
Other values (34) 269
42.6%
Common
ValueCountFrequency (%)
) 532
33.7%
( 530
33.5%
290
18.4%
2 58
 
3.7%
5 30
 
1.9%
1 26
 
1.6%
4 26
 
1.6%
3 21
 
1.3%
0 17
 
1.1%
& 12
 
0.8%
Other values (9) 38
 
2.4%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19109
89.6%
ASCII 2212
 
10.4%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 623
 
3.3%
주 577
 
3.0%
동 453
 
2.4%
스 419
 
2.2%
점 387
 
2.0%
어 383
 
2.0%
미 355
 
1.9%
사 341
 
1.8%
이 298
 
1.6%
의 298
 
1.6%
Other values (669) 14975
78.4%
ASCII
ValueCountFrequency (%)
) 532
24.1%
( 530
24.0%
290
13.1%
S 65
 
2.9%
2 58
 
2.6%
G 42
 
1.9%
T 40
 
1.8%
C 37
 
1.7%
K 36
 
1.6%
M 35
 
1.6%
Other values (53) 547
24.7%
CJK
ValueCountFrequency (%)
家 1
100.0%

표시장소(도로명주소)
Text

Distinct1989
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
2023-12-11T02:20:20.082691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length53
Mean length27.680962
Min length1

Characters and Unicode

Total characters79389
Distinct characters342
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

Unique1566 ?
Unique (%)54.6%

Sample

1st row부산광역시 동래구 여고로127번길 1 (사직동)
2nd row부산광역시 동래구 미남로 148 (온천동)
3rd row부산광역시 동래구 금정마을로 73 (온천동)
4th row부산광역시 동래구 금강공원로 13-1 (온천동)
5th row부산광역시 동래구 여고북로73번길 54 남경모텔 (온천동)
ValueCountFrequency (%)
부산광역시 2821
18.9%
동래구 2800
18.8%
온천동 604
 
4.0%
사직동 466
 
3.1%
안락동 338
 
2.3%
충렬대로 302
 
2.0%
명륜동 264
 
1.8%
수안동 174
 
1.2%
명장동 153
 
1.0%
아시아드대로 131
 
0.9%
Other values (1648) 6865
46.0%
2023-12-11T02:20:21.119039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13124
 
16.5%
동 5883
 
7.4%
시 3210
 
4.0%
래 2929
 
3.7%
역 2859
 
3.6%
( 2855
 
3.6%
) 2854
 
3.6%
산 2848
 
3.6%
광 2836
 
3.6%
부 2830
 
3.6%
Other values (332) 37161
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49379
62.2%
Space Separator 13124
 
16.5%
Decimal Number 10718
 
13.5%
Open Punctuation 2855
 
3.6%
Close Punctuation 2854
 
3.6%
Dash Punctuation 334
 
0.4%
Uppercase Letter 99
 
0.1%
Lowercase Letter 22
 
< 0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5883
 
11.9%
시 3210
 
6.5%
래 2929
 
5.9%
역 2859
 
5.8%
산 2848
 
5.8%
광 2836
 
5.7%
부 2830
 
5.7%
로 2824
 
5.7%
구 2819
 
5.7%
길 1340
 
2.7%
Other values (291) 19001
38.5%
Uppercase Letter
ValueCountFrequency (%)
S 19
19.2%
K 19
19.2%
B 15
15.2%
H 11
11.1%
U 7
 
7.1%
R 5
 
5.1%
Y 5
 
5.1%
T 4
 
4.0%
G 4
 
4.0%
L 2
 
2.0%
Other values (7) 8
8.1%
Decimal Number
ValueCountFrequency (%)
1 2421
22.6%
2 1569
14.6%
3 1185
11.1%
4 1032
9.6%
5 917
 
8.6%
7 754
 
7.0%
9 746
 
7.0%
8 734
 
6.8%
0 720
 
6.7%
6 640
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
b 10
45.5%
o 2
 
9.1%
e 2
 
9.1%
v 2
 
9.1%
i 2
 
9.1%
l 2
 
9.1%
t 1
 
4.5%
k 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
· 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
13124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2855
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2854
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 334
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49379
62.2%
Common 29889
37.6%
Latin 121
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5883
 
11.9%
시 3210
 
6.5%
래 2929
 
5.9%
역 2859
 
5.8%
산 2848
 
5.8%
광 2836
 
5.7%
부 2830
 
5.7%
로 2824
 
5.7%
구 2819
 
5.7%
길 1340
 
2.7%
Other values (291) 19001
38.5%
Latin
ValueCountFrequency (%)
S 19
15.7%
K 19
15.7%
B 15
12.4%
H 11
9.1%
b 10
8.3%
U 7
 
5.8%
R 5
 
4.1%
Y 5
 
4.1%
T 4
 
3.3%
G 4
 
3.3%
Other values (15) 22
18.2%
Common
ValueCountFrequency (%)
13124
43.9%
( 2855
 
9.6%
) 2854
 
9.5%
1 2421
 
8.1%
2 1569
 
5.2%
3 1185
 
4.0%
4 1032
 
3.5%
5 917
 
3.1%
7 754
 
2.5%
9 746
 
2.5%
Other values (6) 2432
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49379
62.2%
ASCII 30008
37.8%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13124
43.7%
( 2855
 
9.5%
) 2854
 
9.5%
1 2421
 
8.1%
2 1569
 
5.2%
3 1185
 
3.9%
4 1032
 
3.4%
5 917
 
3.1%
7 754
 
2.5%
9 746
 
2.5%
Other values (30) 2551
 
8.5%
Hangul
ValueCountFrequency (%)
동 5883
 
11.9%
시 3210
 
6.5%
래 2929
 
5.9%
역 2859
 
5.8%
산 2848
 
5.8%
광 2836
 
5.7%
부 2830
 
5.7%
로 2824
 
5.7%
구 2819
 
5.7%
길 1340
 
2.7%
Other values (291) 19001
38.5%
None
ValueCountFrequency (%)
· 2
100.0%

광고물종류
Categorical

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
돌출간판
1787 
벽면이용간판(가로형)
341 
교통수단이용 광고물
232 
공공시설물이용 광고물
 
174
가로형간판_입체형
 
167
Other values (5)
 
167

Length

Max length11
Median length4
Mean length6.195258
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row벽면이용간판(가로형)
2nd row돌출간판
3rd row돌출간판
4th row돌출간판
5th row돌출간판

Common Values

ValueCountFrequency (%)
돌출간판 1787
62.3%
벽면이용간판(가로형) 341
 
11.9%
교통수단이용 광고물 232
 
8.1%
공공시설물이용 광고물 174
 
6.1%
가로형간판_입체형 167
 
5.8%
지주이용 간판 120
 
4.2%
옥상간판 27
 
0.9%
벽면이용간판(세로형) 12
 
0.4%
현수막게시틀 7
 
0.2%
교통시설이용 광고물 1
 
< 0.1%

Length

2023-12-11T02:20:21.433697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:20:21.770000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
돌출간판 1787
52.6%
광고물 407
 
12.0%
벽면이용간판(가로형 341
 
10.0%
교통수단이용 232
 
6.8%
공공시설물이용 174
 
5.1%
가로형간판_입체형 167
 
4.9%
지주이용 120
 
3.5%
간판 120
 
3.5%
옥상간판 27
 
0.8%
벽면이용간판(세로형 12
 
0.4%
Other values (2) 8
 
0.2%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.5 KiB
허가
2868 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
허가 2868
100.0%

Length

2023-12-11T02:20:22.109581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:20:22.360866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가 2868
100.0%

Interactions

2023-12-11T02:20:16.264774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:20:22.519094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번광고물종류
순번1.0000.595
광고물종류0.5951.000
2023-12-11T02:20:22.789335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번광고물종류
순번1.0000.219
광고물종류0.2191.000

Missing values

2023-12-11T02:20:16.575625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:20:16.891719image/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

순번업소명표시장소(도로명주소)광고물종류구분
01에이치에스케이모터스부산광역시 동래구 여고로127번길 1 (사직동)벽면이용간판(가로형)허가
12명국에너지서비스부산광역시 동래구 미남로 148 (온천동)돌출간판허가
23태양가든부산광역시 동래구 금정마을로 73 (온천동)돌출간판허가
34부산은행 온천동금융센터부산광역시 동래구 금강공원로 13-1 (온천동)돌출간판허가
45에스에스모텔부산광역시 동래구 여고북로73번길 54 남경모텔 (온천동)돌출간판허가
56조일탕부산광역시 동래구 여고북로123번길 16 (온천동)돌출간판허가
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