Overview

Dataset statistics

Number of variables4
Number of observations285
Missing cells100
Missing cells (%)8.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory33.5 B

Variable types

Numeric1
Text3

Dataset

Description전북특별자치도 완주군 종량제 봉투 판매소 지정현황에 관한 데이터 입니다. 판매소의 상호와 도로명주소, 지번주소를 제공합니다
Author전북특별자치도 완주군
URLhttps://www.data.go.kr/data/15064594/fileData.do

Alerts

판매소위치(도로명) has 14 (4.9%) missing valuesMissing
판매소위치(지번) has 86 (30.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:30:35.442917
Analysis finished2024-04-21 01:30:36.347313
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct285
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143
Minimum1
Maximum285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-21T10:30:36.412486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.2
Q172
median143
Q3214
95-th percentile270.8
Maximum285
Range284
Interquartile range (IQR)142

Descriptive statistics

Standard deviation82.416625
Coefficient of variation (CV)0.57634003
Kurtosis-1.2
Mean143
Median Absolute Deviation (MAD)71
Skewness0
Sum40755
Variance6792.5
MonotonicityStrictly increasing
2024-04-21T10:30:36.545469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
189 1
 
0.4%
195 1
 
0.4%
194 1
 
0.4%
193 1
 
0.4%
192 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
188 1
 
0.4%
197 1
 
0.4%
Other values (275) 275
96.5%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
285 1
0.4%
284 1
0.4%
283 1
0.4%
282 1
0.4%
281 1
0.4%
280 1
0.4%
279 1
0.4%
278 1
0.4%
277 1
0.4%
276 1
0.4%

상호
Text

Distinct276
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-04-21T10:30:36.761166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length8.3122807
Min length1

Characters and Unicode

Total characters2369
Distinct characters288
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

Unique268 ?
Unique (%)94.0%

Sample

1st row한마당슈퍼
2nd row주식회사 와이마트전주혁신점
3rd row세븐일레븐완주봉동센터점
4th row굿모닝마트
5th rowGS25둔산코아루점
ValueCountFrequency (%)
세븐일레븐 20
 
5.2%
gs25 16
 
4.2%
씨유 11
 
2.9%
이마트24 10
 
2.6%
완주봉동점 3
 
0.8%
주식회사 3
 
0.8%
지에스(gs)25 3
 
0.8%
코사마트 3
 
0.8%
전북혁신지구점 3
 
0.8%
위드미 2
 
0.5%
Other values (296) 309
80.7%
2024-04-21T10:30:37.089756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 138
 
5.8%
98
 
4.1%
주 98
 
4.1%
트 78
 
3.3%
마 75
 
3.2%
완 70
 
3.0%
븐 61
 
2.6%
2 58
 
2.4%
이 43
 
1.8%
S 43
 
1.8%
Other values (278) 1607
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1992
84.1%
Decimal Number 118
 
5.0%
Uppercase Letter 115
 
4.9%
Space Separator 98
 
4.1%
Close Punctuation 22
 
0.9%
Open Punctuation 22
 
0.9%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 138
 
6.9%
주 98
 
4.9%
트 78
 
3.9%
마 75
 
3.8%
완 70
 
3.5%
븐 61
 
3.1%
이 43
 
2.2%
유 38
 
1.9%
일 38
 
1.9%
세 35
 
1.8%
Other values (256) 1318
66.2%
Uppercase Letter
ValueCountFrequency (%)
S 43
37.4%
G 42
36.5%
C 9
 
7.8%
I 4
 
3.5%
R 4
 
3.5%
L 3
 
2.6%
U 3
 
2.6%
D 2
 
1.7%
H 2
 
1.7%
A 1
 
0.9%
Other values (2) 2
 
1.7%
Decimal Number
ValueCountFrequency (%)
2 58
49.2%
5 41
34.7%
4 16
 
13.6%
3 2
 
1.7%
0 1
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1992
84.1%
Common 260
 
11.0%
Latin 117
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 138
 
6.9%
주 98
 
4.9%
트 78
 
3.9%
마 75
 
3.8%
완 70
 
3.5%
븐 61
 
3.1%
이 43
 
2.2%
유 38
 
1.9%
일 38
 
1.9%
세 35
 
1.8%
Other values (256) 1318
66.2%
Latin
ValueCountFrequency (%)
S 43
36.8%
G 42
35.9%
C 9
 
7.7%
I 4
 
3.4%
R 4
 
3.4%
L 3
 
2.6%
U 3
 
2.6%
D 2
 
1.7%
H 2
 
1.7%
e 1
 
0.9%
Other values (4) 4
 
3.4%
Common
ValueCountFrequency (%)
98
37.7%
2 58
22.3%
5 41
15.8%
) 22
 
8.5%
( 22
 
8.5%
4 16
 
6.2%
3 2
 
0.8%
0 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1992
84.1%
ASCII 377
 
15.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 138
 
6.9%
주 98
 
4.9%
트 78
 
3.9%
마 75
 
3.8%
완 70
 
3.5%
븐 61
 
3.1%
이 43
 
2.2%
유 38
 
1.9%
일 38
 
1.9%
세 35
 
1.8%
Other values (256) 1318
66.2%
ASCII
ValueCountFrequency (%)
98
26.0%
2 58
15.4%
S 43
11.4%
G 42
11.1%
5 41
10.9%
) 22
 
5.8%
( 22
 
5.8%
4 16
 
4.2%
C 9
 
2.4%
I 4
 
1.1%
Other values (12) 22
 
5.8%

판매소위치(도로명)
Text

MISSING 

Distinct250
Distinct (%)92.3%
Missing14
Missing (%)4.9%
Memory size2.4 KiB
2024-04-21T10:30:37.305650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length54
Mean length27.675277
Min length21

Characters and Unicode

Total characters7500
Distinct characters203
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)85.2%

Sample

1st row전북특별자치도 완주군 소양면 송광수만로 256
2nd row전북특별자치도 완주군 이서면 기지로 36
3rd row전북특별자치도 완주군 봉동읍 낙평장기로 10, 2동 1층 101호
4th row전북특별자치도 완주군 봉동읍 봉동로 149
5th row전북특별자치도 완주군 봉동읍 원둔산2길 17
ValueCountFrequency (%)
전북특별자치도 271
 
17.6%
완주군 261
 
17.0%
봉동읍 67
 
4.4%
삼례읍 52
 
3.4%
이서면 44
 
2.9%
1층 27
 
1.8%
운주면 18
 
1.2%
상관면 15
 
1.0%
구이면 14
 
0.9%
고산면 13
 
0.8%
Other values (404) 754
49.1%
2024-04-21T10:30:37.676793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1267
 
16.9%
주 323
 
4.3%
전 290
 
3.9%
완 284
 
3.8%
1 281
 
3.7%
도 276
 
3.7%
북 274
 
3.7%
자 273
 
3.6%
별 272
 
3.6%
치 271
 
3.6%
Other values (193) 3689
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4951
66.0%
Space Separator 1267
 
16.9%
Decimal Number 1050
 
14.0%
Other Punctuation 96
 
1.3%
Dash Punctuation 59
 
0.8%
Close Punctuation 34
 
0.5%
Open Punctuation 34
 
0.5%
Uppercase Letter 5
 
0.1%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 323
 
6.5%
전 290
 
5.9%
완 284
 
5.7%
도 276
 
5.6%
북 274
 
5.5%
자 273
 
5.5%
별 272
 
5.5%
치 271
 
5.5%
특 271
 
5.5%
군 261
 
5.3%
Other values (169) 2156
43.5%
Decimal Number
ValueCountFrequency (%)
1 281
26.8%
2 133
12.7%
0 111
 
10.6%
3 109
 
10.4%
4 95
 
9.0%
5 80
 
7.6%
6 75
 
7.1%
7 65
 
6.2%
9 53
 
5.0%
8 48
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
c 1
25.0%
i 1
25.0%
t 1
25.0%
y 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 92
95.8%
. 2
 
2.1%
@ 2
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
A 2
40.0%
M 1
20.0%
Space Separator
ValueCountFrequency (%)
1267
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4951
66.0%
Common 2540
33.9%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 323
 
6.5%
전 290
 
5.9%
완 284
 
5.7%
도 276
 
5.6%
북 274
 
5.5%
자 273
 
5.5%
별 272
 
5.5%
치 271
 
5.5%
특 271
 
5.5%
군 261
 
5.3%
Other values (169) 2156
43.5%
Common
ValueCountFrequency (%)
1267
49.9%
1 281
 
11.1%
2 133
 
5.2%
0 111
 
4.4%
3 109
 
4.3%
4 95
 
3.7%
, 92
 
3.6%
5 80
 
3.1%
6 75
 
3.0%
7 65
 
2.6%
Other values (7) 232
 
9.1%
Latin
ValueCountFrequency (%)
B 2
22.2%
A 2
22.2%
M 1
11.1%
c 1
11.1%
i 1
11.1%
t 1
11.1%
y 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4951
66.0%
ASCII 2549
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1267
49.7%
1 281
 
11.0%
2 133
 
5.2%
0 111
 
4.4%
3 109
 
4.3%
4 95
 
3.7%
, 92
 
3.6%
5 80
 
3.1%
6 75
 
2.9%
7 65
 
2.6%
Other values (14) 241
 
9.5%
Hangul
ValueCountFrequency (%)
주 323
 
6.5%
전 290
 
5.9%
완 284
 
5.7%
도 276
 
5.6%
북 274
 
5.5%
자 273
 
5.5%
별 272
 
5.5%
치 271
 
5.5%
특 271
 
5.5%
군 261
 
5.3%
Other values (169) 2156
43.5%

판매소위치(지번)
Text

MISSING 

Distinct188
Distinct (%)94.5%
Missing86
Missing (%)30.2%
Memory size2.4 KiB
2024-04-21T10:30:38.056999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length27.869347
Min length20

Characters and Unicode

Total characters5546
Distinct characters163
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

Unique178 ?
Unique (%)89.4%

Sample

1st row전북특별자치도 완주군 삼례읍 삼례리 1074-27
2nd row전북특별자치도 완주군 고산면 읍내리 884
3rd row전북특별자치도 완주군 봉동읍 낙평리 233-1
4th row전북특별자치도 완주군 소양면 651-5
5th row전북특별자치도 완주군 삼례읍 후정리 2
ValueCountFrequency (%)
전북특별자치도 199
 
18.6%
완주군 191
 
17.8%
삼례읍 40
 
3.7%
봉동읍 40
 
3.7%
이서면 26
 
2.4%
둔산리 17
 
1.6%
용진읍 16
 
1.5%
고산면 15
 
1.4%
삼례리 14
 
1.3%
상관면 14
 
1.3%
Other values (300) 500
46.6%
2024-04-21T10:30:38.525993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1055
 
19.0%
주 219
 
3.9%
전 213
 
3.8%
도 205
 
3.7%
북 205
 
3.7%
자 200
 
3.6%
특 199
 
3.6%
별 199
 
3.6%
치 199
 
3.6%
완 195
 
3.5%
Other values (153) 2657
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3446
62.1%
Space Separator 1055
 
19.0%
Decimal Number 871
 
15.7%
Dash Punctuation 159
 
2.9%
Other Punctuation 6
 
0.1%
Uppercase Letter 5
 
0.1%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 219
 
6.4%
전 213
 
6.2%
도 205
 
5.9%
북 205
 
5.9%
자 200
 
5.8%
특 199
 
5.8%
별 199
 
5.8%
치 199
 
5.8%
완 195
 
5.7%
군 191
 
5.5%
Other values (133) 1421
41.2%
Decimal Number
ValueCountFrequency (%)
1 191
21.9%
2 108
12.4%
5 87
10.0%
4 80
9.2%
6 79
9.1%
0 73
 
8.4%
8 70
 
8.0%
3 69
 
7.9%
7 61
 
7.0%
9 53
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
c 1
25.0%
i 1
25.0%
t 1
25.0%
y 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
A 2
40.0%
M 1
20.0%
Space Separator
ValueCountFrequency (%)
1055
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 159
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3446
62.1%
Common 2091
37.7%
Latin 9
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 219
 
6.4%
전 213
 
6.2%
도 205
 
5.9%
북 205
 
5.9%
자 200
 
5.8%
특 199
 
5.8%
별 199
 
5.8%
치 199
 
5.8%
완 195
 
5.7%
군 191
 
5.5%
Other values (133) 1421
41.2%
Common
ValueCountFrequency (%)
1055
50.5%
1 191
 
9.1%
- 159
 
7.6%
2 108
 
5.2%
5 87
 
4.2%
4 80
 
3.8%
6 79
 
3.8%
0 73
 
3.5%
8 70
 
3.3%
3 69
 
3.3%
Other values (3) 120
 
5.7%
Latin
ValueCountFrequency (%)
B 2
22.2%
A 2
22.2%
M 1
11.1%
c 1
11.1%
i 1
11.1%
t 1
11.1%
y 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3446
62.1%
ASCII 2100
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1055
50.2%
1 191
 
9.1%
- 159
 
7.6%
2 108
 
5.1%
5 87
 
4.1%
4 80
 
3.8%
6 79
 
3.8%
0 73
 
3.5%
8 70
 
3.3%
3 69
 
3.3%
Other values (10) 129
 
6.1%
Hangul
ValueCountFrequency (%)
주 219
 
6.4%
전 213
 
6.2%
도 205
 
5.9%
북 205
 
5.9%
자 200
 
5.8%
특 199
 
5.8%
별 199
 
5.8%
치 199
 
5.8%
완 195
 
5.7%
군 191
 
5.5%
Other values (133) 1421
41.2%

Interactions

2024-04-21T10:30:36.045199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-21T10:30:36.148599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:30:36.221823image/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.
2024-04-21T10:30:36.305026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호상호판매소위치(도로명)판매소위치(지번)
01한마당슈퍼전북특별자치도 완주군 소양면 송광수만로 256<NA>
12주식회사 와이마트전주혁신점전북특별자치도 완주군 이서면 기지로 36<NA>
23세븐일레븐완주봉동센터점전북특별자치도 완주군 봉동읍 낙평장기로 10, 2동 1층 101호<NA>
34굿모닝마트전북특별자치도 완주군 봉동읍 봉동로 149<NA>
45GS25둔산코아루점전북특별자치도 완주군 봉동읍 원둔산2길 17<NA>
56파트너문구전북특별자치도 완주군 봉동읍 중리길 5-26<NA>
67세븐일레븐 완주삼례읍점전북특별자치도 완주군 삼례읍 삼례역로 16<NA>
78완주골점빵(완주지역자활센터)전북특별자치도 완주군 삼례읍 별산농원길 20<NA>
89구칠칠전북특별자치도 완주군 동상면 송광수만로 1383-21<NA>
910대원마트전북특별자치도 완주군 삼례읍 역참로 59-7전북특별자치도 완주군 삼례읍 삼례리 1074-27
번호상호판매소위치(도로명)판매소위치(지번)
275276씨유 우석대센터점전북특별자치도 완주군 삼례읍 상서만경길 48전북특별자치도 완주군 삼례읍 삼례리 1328-1
276277삼촌네 신선식품전북특별자치도 완주군 봉동읍 둔산1로 116, 동인 101호전북특별자치도 완주군 봉동읍 둔산리 884-1 동인 101호
277278운주대형할인마트전북특별자치도 완주군 운주면 장선로 130, 운주대형할인마트전북특별자치도 완주군 운주면 장선리 573-4 운주대형할인마트
278279운주철물전북특별자치도 완주군 운주면 운주로 110전북특별자치도 완주군 운주면 장선리 574-10
279280완주아이씨주유소전북특별자치도 완주군 용진읍 완주로 268전북특별자치도 완주군 용진읍 용흥리 726-1
280281씨유삼봉비엘점전북특별자치도 완주군 삼례읍 삼봉3로 57전북특별자치도 완주군 삼례읍 수계리 1228-3
281282씨유완주용진점전북특별자치도 완주군 용진읍 초포다리로 253전북특별자치도 완주군 용진읍 상운리 41-22
282283GS25혁신센트럴점전북특별자치도 완주군 이서면 출판로 46-5, 105호전북특별자치도 완주군 이서면 갈산리 662-8 105호
283284세븐일레븐 완주삼봉점전북특별자치도 완주군 삼례읍 삼봉4로 35, 107호전북특별자치도 완주군 삼례읍 수계리 1226-4 107호
284285씨유 삼봉푸르지오점전북특별자치도 완주군 삼례읍 삼봉3로 21, 상가동 103호 (완주 푸르지오 더 퍼스트)전북특별자치도 완주군 삼례읍 수계리 1229-3 완주 푸르지오 더 퍼스트 상가동 103호