Overview

Dataset statistics

Number of variables3
Number of observations1920
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.0 KiB
Average record size in memory25.1 B

Variable types

Numeric1
Text2

Dataset

Description전주시설관리공단 쓰레기봉투 현황 자료로 전주시 완산구, 덕진구 내 판매소 명칭, 사업장주소 등에 대한 자료입니다.
Author전주시시설관리공단
URLhttps://www.data.go.kr/data/15003184/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:31:46.372102
Analysis finished2023-12-12 02:31:47.085086
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1920
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean960.5
Minimum1
Maximum1920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2023-12-12T11:31:47.162782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile96.95
Q1480.75
median960.5
Q31440.25
95-th percentile1824.05
Maximum1920
Range1919
Interquartile range (IQR)959.5

Descriptive statistics

Standard deviation554.40058
Coefficient of variation (CV)0.57719998
Kurtosis-1.2
Mean960.5
Median Absolute Deviation (MAD)480
Skewness0
Sum1844160
Variance307360
MonotonicityStrictly increasing
2023-12-12T11:31:47.329363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
962 1
 
0.1%
1290 1
 
0.1%
1289 1
 
0.1%
1288 1
 
0.1%
1287 1
 
0.1%
1286 1
 
0.1%
1285 1
 
0.1%
1284 1
 
0.1%
1283 1
 
0.1%
Other values (1910) 1910
99.5%
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 (%)
1920 1
0.1%
1919 1
0.1%
1918 1
0.1%
1917 1
0.1%
1916 1
0.1%
1915 1
0.1%
1914 1
0.1%
1913 1
0.1%
1912 1
0.1%
1911 1
0.1%

판매소명
Text

Distinct1753
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-12T11:31:47.648767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.6578125
Min length2

Characters and Unicode

Total characters14703
Distinct characters492
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1636 ?
Unique (%)85.2%

Sample

1st row형제슈퍼
2nd row금성쌀집
3rd row조흥슈퍼
4th row부부슈퍼
5th rowGS25(전주중앙점)
ValueCountFrequency (%)
우리슈퍼 7
 
0.3%
농부마트 7
 
0.3%
세븐일레븐 6
 
0.3%
유한회사 6
 
0.3%
우리마트 5
 
0.2%
생활용품dc마트 5
 
0.2%
홈마트 5
 
0.2%
제일슈퍼 5
 
0.2%
미니스톱 5
 
0.2%
위드미 5
 
0.2%
Other values (1781) 1945
97.2%
2023-12-12T11:31:48.109325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 802
 
5.5%
( 768
 
5.2%
) 765
 
5.2%
마 623
 
4.2%
트 598
 
4.1%
전 511
 
3.5%
주 483
 
3.3%
븐 306
 
2.1%
퍼 284
 
1.9%
슈 260
 
1.8%
Other values (482) 9303
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12139
82.6%
Open Punctuation 768
 
5.2%
Close Punctuation 765
 
5.2%
Uppercase Letter 487
 
3.3%
Decimal Number 426
 
2.9%
Space Separator 81
 
0.6%
Lowercase Letter 21
 
0.1%
Other Punctuation 10
 
0.1%
Other Symbol 3
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 802
 
6.6%
마 623
 
5.1%
트 598
 
4.9%
전 511
 
4.2%
주 483
 
4.0%
븐 306
 
2.5%
퍼 284
 
2.3%
슈 260
 
2.1%
일 208
 
1.7%
유 196
 
1.6%
Other values (433) 7868
64.8%
Uppercase Letter
ValueCountFrequency (%)
S 178
36.6%
G 174
35.7%
C 50
 
10.3%
D 22
 
4.5%
U 11
 
2.3%
I 9
 
1.8%
O 7
 
1.4%
K 6
 
1.2%
M 5
 
1.0%
A 4
 
0.8%
Other values (10) 21
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
i 4
19.0%
e 3
14.3%
p 2
9.5%
o 2
9.5%
k 2
9.5%
s 2
9.5%
n 1
 
4.8%
r 1
 
4.8%
u 1
 
4.8%
c 1
 
4.8%
Other values (2) 2
9.5%
Decimal Number
ValueCountFrequency (%)
2 200
46.9%
5 182
42.7%
4 13
 
3.1%
9 12
 
2.8%
3 10
 
2.3%
6 7
 
1.6%
1 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
. 5
50.0%
, 2
 
20.0%
& 1
 
10.0%
＆ 1
 
10.0%
@ 1
 
10.0%
Open Punctuation
ValueCountFrequency (%)
( 768
100.0%
Close Punctuation
ValueCountFrequency (%)
) 765
100.0%
Space Separator
ValueCountFrequency (%)
81
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12141
82.6%
Common 2053
 
14.0%
Latin 508
 
3.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 802
 
6.6%
마 623
 
5.1%
트 598
 
4.9%
전 511
 
4.2%
주 483
 
4.0%
븐 306
 
2.5%
퍼 284
 
2.3%
슈 260
 
2.1%
일 208
 
1.7%
유 196
 
1.6%
Other values (433) 7870
64.8%
Latin
ValueCountFrequency (%)
S 178
35.0%
G 174
34.3%
C 50
 
9.8%
D 22
 
4.3%
U 11
 
2.2%
I 9
 
1.8%
O 7
 
1.4%
K 6
 
1.2%
M 5
 
1.0%
A 4
 
0.8%
Other values (22) 42
 
8.3%
Common
ValueCountFrequency (%)
( 768
37.4%
) 765
37.3%
2 200
 
9.7%
5 182
 
8.9%
81
 
3.9%
4 13
 
0.6%
9 12
 
0.6%
3 10
 
0.5%
6 7
 
0.3%
. 5
 
0.2%
Other values (6) 10
 
0.5%
Han
ValueCountFrequency (%)
孝 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12138
82.6%
ASCII 2560
 
17.4%
None 4
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 802
 
6.6%
마 623
 
5.1%
트 598
 
4.9%
전 511
 
4.2%
주 483
 
4.0%
븐 306
 
2.5%
퍼 284
 
2.3%
슈 260
 
2.1%
일 208
 
1.7%
유 196
 
1.6%
Other values (432) 7867
64.8%
ASCII
ValueCountFrequency (%)
( 768
30.0%
) 765
29.9%
2 200
 
7.8%
5 182
 
7.1%
S 178
 
7.0%
G 174
 
6.8%
81
 
3.2%
C 50
 
2.0%
D 22
 
0.9%
4 13
 
0.5%
Other values (37) 127
 
5.0%
None
ValueCountFrequency (%)
㈜ 3
75.0%
＆ 1
 
25.0%
CJK
ValueCountFrequency (%)
孝 1
100.0%

사업장 주소
Text

Distinct1905
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-12T11:31:48.397719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length24.961458
Min length7

Characters and Unicode

Total characters47926
Distinct characters338
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

Unique1890 ?
Unique (%)98.4%

Sample

1st row완산구 전라감영3길 12-5(중앙동 2가 44-6)
2nd row완산구 고사동 133-2(시내신포만두옆골목)
3rd row완산구 문화광장로 1(고사동 7-1)
4th row완산구 전주객사3길 75 (고사동 321-8)
5th row완산구 전주객사4길 47 (고사동 155-3)
ValueCountFrequency (%)
완산구 1005
 
12.8%
덕진구 863
 
11.0%
1가 180
 
2.3%
2가 136
 
1.7%
3가 77
 
1.0%
중화산동 53
 
0.7%
서신동 48
 
0.6%
삼천동 46
 
0.6%
평화동 36
 
0.5%
금암동 32
 
0.4%
Other values (3840) 5377
68.5%
2023-12-12T11:31:49.169240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5933
 
12.4%
1 3710
 
7.7%
2 2323
 
4.8%
동 2089
 
4.4%
- 2024
 
4.2%
구 1929
 
4.0%
( 1903
 
4.0%
) 1897
 
4.0%
3 1645
 
3.4%
가 1472
 
3.1%
Other values (328) 23001
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20836
43.5%
Decimal Number 15227
31.8%
Space Separator 5933
 
12.4%
Dash Punctuation 2024
 
4.2%
Open Punctuation 1903
 
4.0%
Close Punctuation 1897
 
4.0%
Other Punctuation 92
 
0.2%
Uppercase Letter 8
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2089
 
10.0%
구 1929
 
9.3%
가 1472
 
7.1%
산 1371
 
6.6%
진 1078
 
5.2%
덕 1041
 
5.0%
로 1040
 
5.0%
완 1029
 
4.9%
길 854
 
4.1%
천 371
 
1.8%
Other values (301) 8562
41.1%
Decimal Number
ValueCountFrequency (%)
1 3710
24.4%
2 2323
15.3%
3 1645
10.8%
5 1318
 
8.7%
4 1269
 
8.3%
6 1244
 
8.2%
7 1103
 
7.2%
8 946
 
6.2%
9 856
 
5.6%
0 813
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 79
85.9%
@ 9
 
9.8%
. 3
 
3.3%
/ 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
A 5
62.5%
T 1
 
12.5%
M 1
 
12.5%
B 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
v 1
25.0%
g 1
25.0%
c 1
25.0%
Space Separator
ValueCountFrequency (%)
5933
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2024
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1903
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1897
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27078
56.5%
Hangul 20836
43.5%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2089
 
10.0%
구 1929
 
9.3%
가 1472
 
7.1%
산 1371
 
6.6%
진 1078
 
5.2%
덕 1041
 
5.0%
로 1040
 
5.0%
완 1029
 
4.9%
길 854
 
4.1%
천 371
 
1.8%
Other values (301) 8562
41.1%
Common
ValueCountFrequency (%)
5933
21.9%
1 3710
13.7%
2 2323
 
8.6%
- 2024
 
7.5%
( 1903
 
7.0%
) 1897
 
7.0%
3 1645
 
6.1%
5 1318
 
4.9%
4 1269
 
4.7%
6 1244
 
4.6%
Other values (9) 3812
14.1%
Latin
ValueCountFrequency (%)
A 5
41.7%
a 1
 
8.3%
T 1
 
8.3%
M 1
 
8.3%
v 1
 
8.3%
g 1
 
8.3%
c 1
 
8.3%
B 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27090
56.5%
Hangul 20836
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5933
21.9%
1 3710
13.7%
2 2323
 
8.6%
- 2024
 
7.5%
( 1903
 
7.0%
) 1897
 
7.0%
3 1645
 
6.1%
5 1318
 
4.9%
4 1269
 
4.7%
6 1244
 
4.6%
Other values (17) 3824
14.1%
Hangul
ValueCountFrequency (%)
동 2089
 
10.0%
구 1929
 
9.3%
가 1472
 
7.1%
산 1371
 
6.6%
진 1078
 
5.2%
덕 1041
 
5.0%
로 1040
 
5.0%
완 1029
 
4.9%
길 854
 
4.1%
천 371
 
1.8%
Other values (301) 8562
41.1%

Interactions

2023-12-12T11:31:46.820947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T11:31:46.972153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:31:47.054066image/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

연번판매소명사업장 주소
01형제슈퍼완산구 전라감영3길 12-5(중앙동 2가 44-6)
12금성쌀집완산구 고사동 133-2(시내신포만두옆골목)
23조흥슈퍼완산구 문화광장로 1(고사동 7-1)
34부부슈퍼완산구 전주객사3길 75 (고사동 321-8)
45GS25(전주중앙점)완산구 전주객사4길 47 (고사동 155-3)
56세븐일레븐(중앙점)완산구 충경로 17 (중앙동 1가 33-1)
67씨유(전주고사점)완산구 전주객사4길 74 (고사동 172-1)
78에이원쇼핑편의점완산구 전주객사3길 42 (고사동 395-6)
89제일슈퍼완산구 전라감영3길 24 (중앙동 2가 36-7)
910우신철물공구완산구 태평2길 14-1(태평동 61-70)
연번판매소명사업장 주소
19101911한마음슈퍼완산구 기린대로 213(서노송동 568-95)대우빌딩지하
19111912축산종합슈퍼(나들신신마트)완산구 태평5길 10(서노송동 639-16)
1912191324시스넥하우스완산구 기린대로 209(서노송동 568-113)현대빌딩
19131914태양슈퍼완산구 노송광장로 44(서노송동 568-107)
19141915바이더웨이(전주시청점)완산구 노송광장로 37(서노송동 619-6)
19151916제이유마트완산구 기린대로 233-32(서노송동 648-4)
19161917광주철물건재완산구 반촌로24(서노송동741-9)
19171918코리아세븐(전주서노송점)완산구 현무3길 80(서노송동 568-137)
19181919GS25전주열린병원점기린대로 233-32(서노송동 648-4)
19191920CU전주뉴타운점기린대로 223(서노송동 568-88)