Overview

Dataset statistics

Number of variables5
Number of observations391
Missing cells7
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.2 KiB
Average record size in memory42.3 B

Variable types

Numeric2
Text3

Dataset

Description광주광역시 서구 관내 음식물다량배출사업장에 대한 상호명, 사업장도로명주소, 사업장전화번호, 연매출에상에 관한 정보입니다.
Author광주광역시 서구
URLhttps://www.data.go.kr/data/15035235/fileData.do

Alerts

사업장전화번호 has 7 (1.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:08:08.703894
Analysis finished2023-12-12 14:08:09.804707
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct391
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196
Minimum1
Maximum391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T23:08:09.896209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.5
Q198.5
median196
Q3293.5
95-th percentile371.5
Maximum391
Range390
Interquartile range (IQR)195

Descriptive statistics

Standard deviation113.01622
Coefficient of variation (CV)0.57661338
Kurtosis-1.2
Mean196
Median Absolute Deviation (MAD)98
Skewness0
Sum76636
Variance12772.667
MonotonicityStrictly increasing
2023-12-12T23:08:10.051453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
270 1
 
0.3%
268 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
Other values (381) 381
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
391 1
0.3%
390 1
0.3%
389 1
0.3%
388 1
0.3%
387 1
0.3%
386 1
0.3%
385 1
0.3%
384 1
0.3%
383 1
0.3%
382 1
0.3%

상호
Text

Distinct388
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T23:08:10.334040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length6.9693095
Min length1

Characters and Unicode

Total characters2725
Distinct characters442
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique385 ?
Unique (%)98.5%

Sample

1st row(주)해동활어
2nd row시마곤조
3rd row신명가원
4th row맛찬들광주상무점
5th row광양숯불구이
ValueCountFrequency (%)
광주상무점 7
 
1.6%
상무점 5
 
1.1%
주식회사 4
 
0.9%
금호점 3
 
0.7%
상무직영점 2
 
0.4%
유한회사 2
 
0.4%
신락원 2
 
0.4%
마중물추어탕 2
 
0.4%
리치 2
 
0.4%
쿠바하우스 1
 
0.2%
Other values (421) 421
93.3%
2023-12-12T23:08:10.762992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 87
 
3.2%
광 76
 
2.8%
점 73
 
2.7%
원 64
 
2.3%
60
 
2.2%
) 59
 
2.2%
( 59
 
2.2%
교 58
 
2.1%
학 57
 
2.1%
상 51
 
1.9%
Other values (432) 2081
76.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2479
91.0%
Space Separator 60
 
2.2%
Close Punctuation 60
 
2.2%
Open Punctuation 60
 
2.2%
Decimal Number 33
 
1.2%
Uppercase Letter 22
 
0.8%
Lowercase Letter 5
 
0.2%
Other Punctuation 4
 
0.1%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 87
 
3.5%
광 76
 
3.1%
점 73
 
2.9%
원 64
 
2.6%
교 58
 
2.3%
학 57
 
2.3%
상 51
 
2.1%
무 47
 
1.9%
한 47
 
1.9%
이 40
 
1.6%
Other values (394) 1879
75.8%
Uppercase Letter
ValueCountFrequency (%)
S 3
13.6%
U 2
 
9.1%
K 2
 
9.1%
B 2
 
9.1%
T 2
 
9.1%
D 2
 
9.1%
P 1
 
4.5%
J 1
 
4.5%
N 1
 
4.5%
H 1
 
4.5%
Other values (5) 5
22.7%
Decimal Number
ValueCountFrequency (%)
2 7
21.2%
1 5
15.2%
6 5
15.2%
3 4
12.1%
9 4
12.1%
4 3
9.1%
0 2
 
6.1%
5 1
 
3.0%
8 1
 
3.0%
7 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
25.0%
· 1
25.0%
: 1
25.0%
. 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 59
98.3%
] 1
 
1.7%
Open Punctuation
ValueCountFrequency (%)
( 59
98.3%
[ 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
o 4
80.0%
m 1
 
20.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2479
91.0%
Common 219
 
8.0%
Latin 27
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 87
 
3.5%
광 76
 
3.1%
점 73
 
2.9%
원 64
 
2.6%
교 58
 
2.3%
학 57
 
2.3%
상 51
 
2.1%
무 47
 
1.9%
한 47
 
1.9%
이 40
 
1.6%
Other values (394) 1879
75.8%
Common
ValueCountFrequency (%)
60
27.4%
) 59
26.9%
( 59
26.9%
2 7
 
3.2%
1 5
 
2.3%
6 5
 
2.3%
3 4
 
1.8%
9 4
 
1.8%
4 3
 
1.4%
0 2
 
0.9%
Other values (11) 11
 
5.0%
Latin
ValueCountFrequency (%)
o 4
14.8%
S 3
11.1%
U 2
 
7.4%
K 2
 
7.4%
B 2
 
7.4%
T 2
 
7.4%
D 2
 
7.4%
P 1
 
3.7%
J 1
 
3.7%
N 1
 
3.7%
Other values (7) 7
25.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2479
91.0%
ASCII 245
 
9.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 87
 
3.5%
광 76
 
3.1%
점 73
 
2.9%
원 64
 
2.6%
교 58
 
2.3%
학 57
 
2.3%
상 51
 
2.1%
무 47
 
1.9%
한 47
 
1.9%
이 40
 
1.6%
Other values (394) 1879
75.8%
ASCII
ValueCountFrequency (%)
60
24.5%
) 59
24.1%
( 59
24.1%
2 7
 
2.9%
1 5
 
2.0%
6 5
 
2.0%
o 4
 
1.6%
3 4
 
1.6%
9 4
 
1.6%
S 3
 
1.2%
Other values (27) 35
14.3%
None
ValueCountFrequency (%)
· 1
100.0%

사업장도로명주소
Text

Distinct387
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-12T23:08:11.080901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length44
Mean length29.657289
Min length21

Characters and Unicode

Total characters11596
Distinct characters240
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

Unique383 ?
Unique (%)98.0%

Sample

1st row광주광역시 서구 상무대로 653-1, 1층 (마륵동)
2nd row광주광역시 서구 시청로60번길 10, 1층 (치평동)
3rd row광주광역시 서구 상무시민로 97-5, 서영빌딩 3층 (치평동)
4th row광주광역시 서구 시청로60번길 17-11, 1층 (치평동)
5th row광주광역시 서구 상무대로867번길 23, 2~3층 (치평동)
ValueCountFrequency (%)
광주광역시 392
 
16.2%
서구 391
 
16.1%
치평동 175
 
7.2%
1층 161
 
6.6%
2층 61
 
2.5%
쌍촌동 35
 
1.4%
화정동 30
 
1.2%
풍암동 28
 
1.2%
마륵동 26
 
1.1%
매월동 25
 
1.0%
Other values (496) 1099
45.4%
2023-12-12T23:08:11.577878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2032
 
17.5%
광 810
 
7.0%
1 508
 
4.4%
시 439
 
3.8%
동 415
 
3.6%
주 411
 
3.5%
서 406
 
3.5%
역 394
 
3.4%
) 393
 
3.4%
( 393
 
3.4%
Other values (230) 5395
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6568
56.6%
Space Separator 2032
 
17.5%
Decimal Number 1687
 
14.5%
Close Punctuation 393
 
3.4%
Open Punctuation 393
 
3.4%
Other Punctuation 367
 
3.2%
Dash Punctuation 54
 
0.5%
Math Symbol 42
 
0.4%
Lowercase Letter 38
 
0.3%
Uppercase Letter 22
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 810
 
12.3%
시 439
 
6.7%
동 415
 
6.3%
주 411
 
6.3%
서 406
 
6.2%
역 394
 
6.0%
구 392
 
6.0%
로 375
 
5.7%
층 300
 
4.6%
평 196
 
3.0%
Other values (186) 2430
37.0%
Lowercase Letter
ValueCountFrequency (%)
n 5
13.2%
a 5
13.2%
i 4
 
10.5%
r 2
 
5.3%
w 2
 
5.3%
o 2
 
5.3%
l 2
 
5.3%
d 2
 
5.3%
y 2
 
5.3%
g 2
 
5.3%
Other values (8) 10
26.3%
Decimal Number
ValueCountFrequency (%)
1 508
30.1%
2 271
16.1%
3 155
 
9.2%
0 132
 
7.8%
6 126
 
7.5%
5 123
 
7.3%
7 110
 
6.5%
8 92
 
5.5%
4 89
 
5.3%
9 81
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 5
22.7%
H 4
18.2%
A 3
13.6%
L 2
 
9.1%
K 2
 
9.1%
I 2
 
9.1%
G 2
 
9.1%
C 1
 
4.5%
S 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 366
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2032
100.0%
Close Punctuation
ValueCountFrequency (%)
) 393
100.0%
Open Punctuation
ValueCountFrequency (%)
( 393
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6568
56.6%
Common 4968
42.8%
Latin 60
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 810
 
12.3%
시 439
 
6.7%
동 415
 
6.3%
주 411
 
6.3%
서 406
 
6.2%
역 394
 
6.0%
구 392
 
6.0%
로 375
 
5.7%
층 300
 
4.6%
평 196
 
3.0%
Other values (186) 2430
37.0%
Latin
ValueCountFrequency (%)
B 5
 
8.3%
n 5
 
8.3%
a 5
 
8.3%
H 4
 
6.7%
i 4
 
6.7%
A 3
 
5.0%
r 2
 
3.3%
L 2
 
3.3%
K 2
 
3.3%
w 2
 
3.3%
Other values (17) 26
43.3%
Common
ValueCountFrequency (%)
2032
40.9%
1 508
 
10.2%
) 393
 
7.9%
( 393
 
7.9%
, 366
 
7.4%
2 271
 
5.5%
3 155
 
3.1%
0 132
 
2.7%
6 126
 
2.5%
5 123
 
2.5%
Other values (7) 469
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6568
56.6%
ASCII 5028
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2032
40.4%
1 508
 
10.1%
) 393
 
7.8%
( 393
 
7.8%
, 366
 
7.3%
2 271
 
5.4%
3 155
 
3.1%
0 132
 
2.6%
6 126
 
2.5%
5 123
 
2.4%
Other values (34) 529
 
10.5%
Hangul
ValueCountFrequency (%)
광 810
 
12.3%
시 439
 
6.7%
동 415
 
6.3%
주 411
 
6.3%
서 406
 
6.2%
역 394
 
6.0%
구 392
 
6.0%
로 375
 
5.7%
층 300
 
4.6%
평 196
 
3.0%
Other values (186) 2430
37.0%

사업장전화번호
Text

MISSING 

Distinct376
Distinct (%)97.9%
Missing7
Missing (%)1.8%
Memory size3.2 KiB
2023-12-12T23:08:11.880223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length11.960938
Min length1

Characters and Unicode

Total characters4593
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique373 ?
Unique (%)97.1%

Sample

1st row062-575-3344
2nd row062-383-5595
3rd row062-385-2171
4th row 062-385-9952
5th row062-375-9292
ValueCountFrequency (%)
062-383-0222 2
 
0.5%
062 2
 
0.5%
062-385-7011 2
 
0.5%
062-371-9981 1
 
0.3%
062-383-3834 1
 
0.3%
062-337-3883 1
 
0.3%
062-383-0512 1
 
0.3%
062-381-9933 1
 
0.3%
062-372-1929 1
 
0.3%
062-385-1216 1
 
0.3%
Other values (366) 366
96.6%
2023-12-12T23:08:12.327099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 791
17.2%
- 753
16.4%
6 579
12.6%
2 579
12.6%
3 471
10.3%
7 305
 
6.6%
8 270
 
5.9%
5 256
 
5.6%
1 235
 
5.1%
4 150
 
3.3%
Other values (2) 204
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3783
82.4%
Dash Punctuation 753
 
16.4%
Space Separator 57
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 791
20.9%
6 579
15.3%
2 579
15.3%
3 471
12.5%
7 305
 
8.1%
8 270
 
7.1%
5 256
 
6.8%
1 235
 
6.2%
4 150
 
4.0%
9 147
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 753
100.0%
Space Separator
ValueCountFrequency (%)
57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4593
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 791
17.2%
- 753
16.4%
6 579
12.6%
2 579
12.6%
3 471
10.3%
7 305
 
6.6%
8 270
 
5.9%
5 256
 
5.6%
1 235
 
5.1%
4 150
 
3.3%
Other values (2) 204
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4593
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 791
17.2%
- 753
16.4%
6 579
12.6%
2 579
12.6%
3 471
10.3%
7 305
 
6.6%
8 270
 
5.9%
5 256
 
5.6%
1 235
 
5.1%
4 150
 
3.3%
Other values (2) 204
 
4.4%

연배출예상
Real number (ℝ)

Distinct52
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25062.23
Minimum12
Maximum360000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-12-12T23:08:12.499691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile7200
Q114400
median19200
Q328800
95-th percentile54000
Maximum360000
Range359988
Interquartile range (IQR)14400

Descriptive statistics

Standard deviation27577.625
Coefficient of variation (CV)1.1003659
Kurtosis78.809848
Mean25062.23
Median Absolute Deviation (MAD)6000
Skewness7.7769298
Sum9799332
Variance7.6052538 × 108
MonotonicityNot monotonic
2023-12-12T23:08:12.704669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18000 72
18.4%
14400 46
11.8%
21600 42
10.7%
10800 34
8.7%
28800 34
8.7%
36000 29
 
7.4%
24000 22
 
5.6%
25200 18
 
4.6%
7200 9
 
2.3%
54000 8
 
2.0%
Other values (42) 77
19.7%
ValueCountFrequency (%)
12 1
 
0.3%
108 1
 
0.3%
240 1
 
0.3%
1200 1
 
0.3%
1800 1
 
0.3%
2400 1
 
0.3%
2520 1
 
0.3%
2880 1
 
0.3%
3600 3
0.8%
5280 1
 
0.3%
ValueCountFrequency (%)
360000 1
 
0.3%
255000 1
 
0.3%
252000 1
 
0.3%
108000 1
 
0.3%
102000 1
 
0.3%
84000 1
 
0.3%
72000 6
1.5%
68400 1
 
0.3%
60000 1
 
0.3%
54000 8
2.0%

Interactions

2023-12-12T23:08:09.336479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:08:09.129520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:08:09.469114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:08:09.229553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:08:12.820399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연배출예상
연번1.0000.081
연배출예상0.0811.000
2023-12-12T23:08:12.906533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연배출예상
연번1.000-0.029
연배출예상-0.0291.000

Missing values

2023-12-12T23:08:09.640738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:08:09.766124image/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

연번상호사업장도로명주소사업장전화번호연배출예상
01(주)해동활어광주광역시 서구 상무대로 653-1, 1층 (마륵동)062-575-334436000
12시마곤조광주광역시 서구 시청로60번길 10, 1층 (치평동)062-383-559510800
23신명가원광주광역시 서구 상무시민로 97-5, 서영빌딩 3층 (치평동)062-385-21717200
34맛찬들광주상무점광주광역시 서구 시청로60번길 17-11, 1층 (치평동)062-385-99527800
45광양숯불구이광주광역시 서구 상무대로867번길 23, 2~3층 (치평동)062-375-929236000
56구르메키친광주광역시 서구 마륵로 108 (치평동)062-385-233514400
67돌배기집 광주상무점광주광역시 서구 시청로60번길 21-6, 콜롬버스시네마 (치평동)062-222-846424000
78(주)파티하우스[까르르스타광주상무점]광주광역시 서구 시청로20번길 21-7, 1층 (치평동)062-382-340043200
89꽃마름(풍암점)광주광역시 서구 풍암1로7번길 10, 2층 (풍암동)062-655-944918000
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연번상호사업장도로명주소사업장전화번호연배출예상
381382라캄파넬라광주광역시 서구 마륵로 68, 가동 1층 (마륵동)062-671-383714400
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384385하마아구찜 상무직영점광주광역시 서구 상무시민로 131, 1층 (치평동)062-381-1567102000
385386서귀포로맨스 광주상무지구점광주광역시 서구 시청로56번길 13, 1층 (치평동)0507-1353-90992400
386387왕뼈사랑광주광역시 서구 무진대로 937, 1층 (광천동)062-367-999343200
387388친츠광주광역시 서구 상무누리로 15, 2층 (마륵동)062-383-204636000
388389다울에프에스광주광역시 서구 신기길 10, 1층 (마륵동)<NA>21600
389390우리들목장 빛고을흑염소광주광역시 서구 내방로 19, 빛고을흑염소 (치평동)062-384-73005400
390391파티쥬빌리광주광역시 서구 시청로 67, 프리미엄아울렛 11층 1호 (치평동)062-376-667725200