Overview

Dataset statistics

Number of variables3
Number of observations755
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.6 KiB
Average record size in memory25.2 B

Variable types

Numeric1
Text2

Dataset

Description광주광역시 서구 관내에 위치하고 있는 담배소매인지정현황에 대한 순번, 업소명, 업소주소 등의 정보를 제공합니다.
Author광주광역시 서구
URLhttps://www.data.go.kr/data/15021526/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:05:26.128773
Analysis finished2024-03-14 10:05:27.379286
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct755
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378
Minimum1
Maximum755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-03-14T19:05:27.591763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile38.7
Q1189.5
median378
Q3566.5
95-th percentile717.3
Maximum755
Range754
Interquartile range (IQR)377

Descriptive statistics

Standard deviation218.09402
Coefficient of variation (CV)0.5769683
Kurtosis-1.2
Mean378
Median Absolute Deviation (MAD)189
Skewness0
Sum285390
Variance47565
MonotonicityStrictly increasing
2024-03-14T19:05:28.054814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
509 1
 
0.1%
500 1
 
0.1%
501 1
 
0.1%
502 1
 
0.1%
503 1
 
0.1%
504 1
 
0.1%
505 1
 
0.1%
506 1
 
0.1%
507 1
 
0.1%
Other values (745) 745
98.7%
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 (%)
755 1
0.1%
754 1
0.1%
753 1
0.1%
752 1
0.1%
751 1
0.1%
750 1
0.1%
749 1
0.1%
748 1
0.1%
747 1
0.1%
746 1
0.1%

업소명
Text

Distinct742
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-03-14T19:05:29.098065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length8.3139073
Min length1

Characters and Unicode

Total characters6277
Distinct characters434
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

Unique732 ?
Unique (%)97.0%

Sample

1st row이마트24 광주금호서광점
2nd row지에스25 광주화정로점
3rd row씨유 광주골든힐스점
4th rowCU 농성우량점
5th row씨유 어반센트럴점
ValueCountFrequency (%)
씨유 48
 
4.5%
세븐일레븐 47
 
4.4%
이마트24 34
 
3.2%
주식회사 23
 
2.1%
지에스25 21
 
2.0%
주)코리아세븐 15
 
1.4%
지에스(gs)25 13
 
1.2%
유한회사 10
 
0.9%
gs25 9
 
0.8%
미니스톱 7
 
0.7%
Other values (789) 845
78.8%
2024-03-14T19:05:30.543007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 378
 
6.0%
324
 
5.2%
주 239
 
3.8%
마 189
 
3.0%
광 184
 
2.9%
트 161
 
2.6%
븐 139
 
2.2%
유 129
 
2.1%
2 125
 
2.0%
스 119
 
1.9%
Other values (424) 4290
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5241
83.5%
Space Separator 324
 
5.2%
Decimal Number 268
 
4.3%
Uppercase Letter 190
 
3.0%
Open Punctuation 107
 
1.7%
Close Punctuation 107
 
1.7%
Lowercase Letter 31
 
0.5%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 378
 
7.2%
주 239
 
4.6%
마 189
 
3.6%
광 184
 
3.5%
트 161
 
3.1%
븐 139
 
2.7%
유 129
 
2.5%
스 119
 
2.3%
상 99
 
1.9%
이 92
 
1.8%
Other values (378) 3512
67.0%
Uppercase Letter
ValueCountFrequency (%)
S 54
28.4%
G 51
26.8%
C 25
13.2%
U 21
 
11.1%
K 6
 
3.2%
B 5
 
2.6%
L 4
 
2.1%
D 3
 
1.6%
M 3
 
1.6%
H 3
 
1.6%
Other values (9) 15
 
7.9%
Lowercase Letter
ValueCountFrequency (%)
e 8
25.8%
r 4
12.9%
t 3
 
9.7%
a 3
 
9.7%
m 2
 
6.5%
s 2
 
6.5%
i 2
 
6.5%
n 1
 
3.2%
f 1
 
3.2%
l 1
 
3.2%
Other values (4) 4
12.9%
Decimal Number
ValueCountFrequency (%)
2 125
46.6%
5 80
29.9%
4 44
 
16.4%
1 6
 
2.2%
6 6
 
2.2%
3 4
 
1.5%
0 3
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
& 2
 
22.2%
' 1
 
11.1%
Space Separator
ValueCountFrequency (%)
324
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5241
83.5%
Common 815
 
13.0%
Latin 221
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 378
 
7.2%
주 239
 
4.6%
마 189
 
3.6%
광 184
 
3.5%
트 161
 
3.1%
븐 139
 
2.7%
유 129
 
2.5%
스 119
 
2.3%
상 99
 
1.9%
이 92
 
1.8%
Other values (378) 3512
67.0%
Latin
ValueCountFrequency (%)
S 54
24.4%
G 51
23.1%
C 25
11.3%
U 21
 
9.5%
e 8
 
3.6%
K 6
 
2.7%
B 5
 
2.3%
L 4
 
1.8%
r 4
 
1.8%
D 3
 
1.4%
Other values (23) 40
18.1%
Common
ValueCountFrequency (%)
324
39.8%
2 125
 
15.3%
( 107
 
13.1%
) 107
 
13.1%
5 80
 
9.8%
4 44
 
5.4%
1 6
 
0.7%
. 6
 
0.7%
6 6
 
0.7%
3 4
 
0.5%
Other values (3) 6
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5241
83.5%
ASCII 1036
 
16.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 378
 
7.2%
주 239
 
4.6%
마 189
 
3.6%
광 184
 
3.5%
트 161
 
3.1%
븐 139
 
2.7%
유 129
 
2.5%
스 119
 
2.3%
상 99
 
1.9%
이 92
 
1.8%
Other values (378) 3512
67.0%
ASCII
ValueCountFrequency (%)
324
31.3%
2 125
 
12.1%
( 107
 
10.3%
) 107
 
10.3%
5 80
 
7.7%
S 54
 
5.2%
G 51
 
4.9%
4 44
 
4.2%
C 25
 
2.4%
U 21
 
2.0%
Other values (36) 98
 
9.5%

업소주소
Text

Distinct754
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-03-14T19:05:31.710868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length51
Mean length29.655629
Min length19

Characters and Unicode

Total characters22390
Distinct characters288
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

Unique753 ?
Unique (%)99.7%

Sample

1st row광주광역시 서구 금화로73번길 6-1 (금호동)
2nd row광주광역시 서구 화정로 277. 1층 (농성동)
3rd row광주광역시 서구 죽봉대로78번길 10. 골든힐스타워 1층 104호 (농성동)
4th row광주광역시 서구 대남대로 460. 1층 (농성동)
5th row광주광역시 서구 죽봉대로 62 (농성동)
ValueCountFrequency (%)
광주광역시 755
 
16.9%
서구 755
 
16.9%
1층 198
 
4.4%
쌍촌동 120
 
2.7%
화정동 119
 
2.7%
치평동 103
 
2.3%
금호동 62
 
1.4%
농성동 56
 
1.3%
풍암동 55
 
1.2%
상가동 41
 
0.9%
Other values (945) 2209
49.4%
2024-03-14T19:05:33.392181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3891
 
17.4%
광 1575
 
7.0%
1 1172
 
5.2%
동 892
 
4.0%
시 805
 
3.6%
주 787
 
3.5%
서 773
 
3.5%
구 760
 
3.4%
) 760
 
3.4%
( 760
 
3.4%
Other values (278) 10215
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12696
56.7%
Space Separator 3891
 
17.4%
Decimal Number 3602
 
16.1%
Close Punctuation 760
 
3.4%
Open Punctuation 760
 
3.4%
Other Punctuation 514
 
2.3%
Dash Punctuation 116
 
0.5%
Uppercase Letter 35
 
0.2%
Lowercase Letter 13
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 1575
 
12.4%
동 892
 
7.0%
시 805
 
6.3%
주 787
 
6.2%
서 773
 
6.1%
구 760
 
6.0%
역 756
 
6.0%
로 726
 
5.7%
길 325
 
2.6%
화 307
 
2.4%
Other values (240) 4990
39.3%
Uppercase Letter
ValueCountFrequency (%)
B 11
31.4%
K 4
 
11.4%
A 4
 
11.4%
C 3
 
8.6%
D 2
 
5.7%
L 2
 
5.7%
E 2
 
5.7%
M 1
 
2.9%
G 1
 
2.9%
W 1
 
2.9%
Other values (4) 4
 
11.4%
Decimal Number
ValueCountFrequency (%)
1 1172
32.5%
2 448
 
12.4%
0 383
 
10.6%
4 297
 
8.2%
3 292
 
8.1%
7 212
 
5.9%
8 206
 
5.7%
5 200
 
5.6%
9 197
 
5.5%
6 195
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
38.5%
n 2
 
15.4%
l 2
 
15.4%
v 1
 
7.7%
a 1
 
7.7%
r 1
 
7.7%
t 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 512
99.6%
@ 2
 
0.4%
Space Separator
ValueCountFrequency (%)
3891
100.0%
Close Punctuation
ValueCountFrequency (%)
) 760
100.0%
Open Punctuation
ValueCountFrequency (%)
( 760
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12696
56.7%
Common 9646
43.1%
Latin 48
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1575
 
12.4%
동 892
 
7.0%
시 805
 
6.3%
주 787
 
6.2%
서 773
 
6.1%
구 760
 
6.0%
역 756
 
6.0%
로 726
 
5.7%
길 325
 
2.6%
화 307
 
2.4%
Other values (240) 4990
39.3%
Latin
ValueCountFrequency (%)
B 11
22.9%
e 5
10.4%
K 4
 
8.3%
A 4
 
8.3%
C 3
 
6.2%
D 2
 
4.2%
L 2
 
4.2%
E 2
 
4.2%
n 2
 
4.2%
l 2
 
4.2%
Other values (11) 11
22.9%
Common
ValueCountFrequency (%)
3891
40.3%
1 1172
 
12.2%
) 760
 
7.9%
( 760
 
7.9%
. 512
 
5.3%
2 448
 
4.6%
0 383
 
4.0%
4 297
 
3.1%
3 292
 
3.0%
7 212
 
2.2%
Other values (7) 919
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12696
56.7%
ASCII 9694
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3891
40.1%
1 1172
 
12.1%
) 760
 
7.8%
( 760
 
7.8%
. 512
 
5.3%
2 448
 
4.6%
0 383
 
4.0%
4 297
 
3.1%
3 292
 
3.0%
7 212
 
2.2%
Other values (28) 967
 
10.0%
Hangul
ValueCountFrequency (%)
광 1575
 
12.4%
동 892
 
7.0%
시 805
 
6.3%
주 787
 
6.2%
서 773
 
6.1%
구 760
 
6.0%
역 756
 
6.0%
로 726
 
5.7%
길 325
 
2.6%
화 307
 
2.4%
Other values (240) 4990
39.3%

Interactions

2024-03-14T19:05:26.692026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-14T19:05:27.039098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:05:27.282261image/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

순번업소명업소주소
01이마트24 광주금호서광점광주광역시 서구 금화로73번길 6-1 (금호동)
12지에스25 광주화정로점광주광역시 서구 화정로 277. 1층 (농성동)
23씨유 광주골든힐스점광주광역시 서구 죽봉대로78번길 10. 골든힐스타워 1층 104호 (농성동)
34CU 농성우량점광주광역시 서구 대남대로 460. 1층 (농성동)
45씨유 어반센트럴점광주광역시 서구 죽봉대로 62 (농성동)
56GS25 광주유촌점광주광역시 서구 상무버들로53번길 56 (유촌동)
67일등복권방광주광역시 서구 염화로 109 (화정동)
78GS25 상무역점광주광역시 서구 상무중앙로 9. 동양빌딩 102호 (치평동)
89주식회사 에스엠마트 버들점광주광역시 서구 상무버들로40번길 1 (유촌동)
9101등 태양복권광주광역시 서구 내방로306번길 3. 1층 (내방동)
순번업소명업소주소
745746해남상회광주광역시 서구 화운로156번길 28 (화정동)
746747미니스톱염주점광주광역시 서구 월드컵4강로 69 (화정동)
747748우리슈퍼광주광역시 서구 죽봉대로 29 (화정동)
748749무궁화슈퍼광주광역시 서구 월드컵4강로182번길 22 (내방동)
749750동신슈퍼광주광역시 서구 내방로 354 (화정동)
750751슈퍼광주광역시 서구 내방로350번길 7 (화정동)
751752문구사광주광역시 서구 상무대로1057번길 28 (화정동)
752753동광수퍼광주광역시 서구 천변좌로 228 (양동)
753754배덕가구광주광역시 서구 천변좌로 226 (양동)
754755해태슈퍼광주광역시 서구 경열로 129-19 (양동)