Overview

Dataset statistics

Number of variables5
Number of observations812
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.6 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description의정부시 종량제봉투 판매하는 업소 리스트입니다.
Author의정부시시설관리공단
URLhttps://www.data.go.kr/data/15004594/fileData.do

Alerts

번호 is highly overall correlated with 동명High correlation
동명 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:05:05.701127
Analysis finished2023-12-12 10:05:06.335623
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct812
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean406.5
Minimum1
Maximum812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-12T19:05:06.408014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile41.55
Q1203.75
median406.5
Q3609.25
95-th percentile771.45
Maximum812
Range811
Interquartile range (IQR)405.5

Descriptive statistics

Standard deviation234.5485
Coefficient of variation (CV)0.57699509
Kurtosis-1.2
Mean406.5
Median Absolute Deviation (MAD)203
Skewness0
Sum330078
Variance55013
MonotonicityStrictly increasing
2023-12-12T19:05:06.574177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
547 1
 
0.1%
537 1
 
0.1%
538 1
 
0.1%
539 1
 
0.1%
540 1
 
0.1%
541 1
 
0.1%
542 1
 
0.1%
543 1
 
0.1%
544 1
 
0.1%
Other values (802) 802
98.8%
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 (%)
812 1
0.1%
811 1
0.1%
810 1
0.1%
809 1
0.1%
808 1
0.1%
807 1
0.1%
806 1
0.1%
805 1
0.1%
804 1
0.1%
803 1
0.1%

업소명
Text

Distinct801
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T19:05:06.880172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length9.2216749
Min length3

Characters and Unicode

Total characters7488
Distinct characters380
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

Unique792 ?
Unique (%)97.5%

Sample

1st row(주)텃밭식자재할인마트 녹양점
2nd rowCU(가능 SK점)
3rd rowGS25(의정이편한점)
4th rowCU(녹양 현대점)
5th row세븐일레븐 의정부 승원점
ValueCountFrequency (%)
세븐일레븐 24
 
2.3%
gs25 22
 
2.1%
이마트24 13
 
1.3%
cu 12
 
1.2%
마트 10
 
1.0%
씨유 10
 
1.0%
의정부 8
 
0.8%
에브리데이 5
 
0.5%
의정 5
 
0.5%
의정부점 4
 
0.4%
Other values (858) 911
89.0%
2023-12-12T19:05:07.404406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 488
 
6.5%
) 437
 
5.8%
( 434
 
5.8%
정 244
 
3.3%
의 241
 
3.2%
븐 222
 
3.0%
212
 
2.8%
2 202
 
2.7%
트 196
 
2.6%
마 192
 
2.6%
Other values (370) 4620
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5348
71.4%
Uppercase Letter 538
 
7.2%
Decimal Number 468
 
6.2%
Close Punctuation 437
 
5.8%
Open Punctuation 434
 
5.8%
Space Separator 212
 
2.8%
Lowercase Letter 42
 
0.6%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 488
 
9.1%
정 244
 
4.6%
의 241
 
4.5%
븐 222
 
4.2%
트 196
 
3.7%
마 192
 
3.6%
부 164
 
3.1%
일 128
 
2.4%
세 126
 
2.4%
레 123
 
2.3%
Other values (328) 3224
60.3%
Uppercase Letter
ValueCountFrequency (%)
S 153
28.4%
G 146
27.1%
C 110
20.4%
U 104
19.3%
K 5
 
0.9%
I 3
 
0.6%
D 3
 
0.6%
L 2
 
0.4%
M 2
 
0.4%
T 2
 
0.4%
Other values (6) 8
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
s 9
21.4%
g 7
16.7%
y 6
14.3%
a 3
 
7.1%
r 3
 
7.1%
o 3
 
7.1%
t 3
 
7.1%
w 3
 
7.1%
u 2
 
4.8%
c 2
 
4.8%
Decimal Number
ValueCountFrequency (%)
2 202
43.2%
5 158
33.8%
4 47
 
10.0%
1 20
 
4.3%
3 17
 
3.6%
6 10
 
2.1%
9 6
 
1.3%
8 3
 
0.6%
7 3
 
0.6%
0 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 6
66.7%
. 3
33.3%
Close Punctuation
ValueCountFrequency (%)
) 437
100.0%
Open Punctuation
ValueCountFrequency (%)
( 434
100.0%
Space Separator
ValueCountFrequency (%)
212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5348
71.4%
Common 1560
 
20.8%
Latin 580
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 488
 
9.1%
정 244
 
4.6%
의 241
 
4.5%
븐 222
 
4.2%
트 196
 
3.7%
마 192
 
3.6%
부 164
 
3.1%
일 128
 
2.4%
세 126
 
2.4%
레 123
 
2.3%
Other values (328) 3224
60.3%
Latin
ValueCountFrequency (%)
S 153
26.4%
G 146
25.2%
C 110
19.0%
U 104
17.9%
s 9
 
1.6%
g 7
 
1.2%
y 6
 
1.0%
K 5
 
0.9%
a 3
 
0.5%
r 3
 
0.5%
Other values (17) 34
 
5.9%
Common
ValueCountFrequency (%)
) 437
28.0%
( 434
27.8%
212
13.6%
2 202
12.9%
5 158
 
10.1%
4 47
 
3.0%
1 20
 
1.3%
3 17
 
1.1%
6 10
 
0.6%
9 6
 
0.4%
Other values (5) 17
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5348
71.4%
ASCII 2140
28.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 488
 
9.1%
정 244
 
4.6%
의 241
 
4.5%
븐 222
 
4.2%
트 196
 
3.7%
마 192
 
3.6%
부 164
 
3.1%
일 128
 
2.4%
세 126
 
2.4%
레 123
 
2.3%
Other values (328) 3224
60.3%
ASCII
ValueCountFrequency (%)
) 437
20.4%
( 434
20.3%
212
9.9%
2 202
9.4%
5 158
 
7.4%
S 153
 
7.1%
G 146
 
6.8%
C 110
 
5.1%
U 104
 
4.9%
4 47
 
2.2%
Other values (32) 137
 
6.4%

동명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
의정부1동
133 
송산2동
112 
의정부2동
84 
송산1동
56 
가능1동
52 
Other values (10)
375 

Length

Max length5
Median length4
Mean length4.1785714
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row녹양동
2nd row가능1동
3rd row녹양동
4th row녹양동
5th row가능1동

Common Values

ValueCountFrequency (%)
의정부1동 133
16.4%
송산2동 112
13.8%
의정부2동 84
10.3%
송산1동 56
6.9%
가능1동 52
 
6.4%
자금동 52
 
6.4%
호원1동 48
 
5.9%
신곡2동 48
 
5.9%
신곡1동 47
 
5.8%
호원2동 46
 
5.7%
Other values (5) 134
16.5%

Length

2023-12-12T19:05:07.608449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의정부1동 133
16.4%
송산2동 112
13.8%
의정부2동 84
10.3%
송산1동 56
6.9%
가능1동 52
 
6.4%
자금동 52
 
6.4%
호원1동 48
 
5.9%
신곡2동 48
 
5.9%
신곡1동 47
 
5.8%
호원2동 46
 
5.7%
Other values (5) 134
16.5%

주소
Text

Distinct794
Distinct (%)98.1%
Missing3
Missing (%)0.4%
Memory size6.5 KiB
2023-12-12T19:05:07.992669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length10.401731
Min length2

Characters and Unicode

Total characters8415
Distinct characters203
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

Unique780 ?
Unique (%)96.4%

Sample

1st row비우로 75
2nd row신촌로 22 SK뷰@ 상가101호
3rd row녹양로 34번길 47
4th row비우로 105
5th row의정로198번길 57
ValueCountFrequency (%)
1층 44
 
2.4%
평화로 42
 
2.3%
태평로 33
 
1.8%
호국로 25
 
1.4%
시민로 21
 
1.1%
의정부시 19
 
1.0%
동일로 19
 
1.0%
용민로 17
 
0.9%
상가동 16
 
0.9%
20 14
 
0.8%
Other values (948) 1582
86.4%
2023-12-12T19:05:08.569371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1023
 
12.2%
1 793
 
9.4%
로 666
 
7.9%
2 446
 
5.3%
3 359
 
4.3%
번 320
 
3.8%
길 320
 
3.8%
4 319
 
3.8%
5 315
 
3.7%
0 279
 
3.3%
Other values (193) 3575
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3672
43.6%
Decimal Number 3422
40.7%
Space Separator 1023
 
12.2%
Dash Punctuation 190
 
2.3%
Other Punctuation 33
 
0.4%
Close Punctuation 31
 
0.4%
Open Punctuation 30
 
0.4%
Uppercase Letter 8
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 666
18.1%
번 320
 
8.7%
길 320
 
8.7%
동 134
 
3.6%
호 133
 
3.6%
평 115
 
3.1%
가 104
 
2.8%
민 86
 
2.3%
상 75
 
2.0%
층 68
 
1.9%
Other values (167) 1651
45.0%
Decimal Number
ValueCountFrequency (%)
1 793
23.2%
2 446
13.0%
3 359
10.5%
4 319
9.3%
5 315
 
9.2%
0 279
 
8.2%
6 271
 
7.9%
9 227
 
6.6%
7 222
 
6.5%
8 191
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
O 2
25.0%
S 2
25.0%
A 1
12.5%
B 1
12.5%
G 1
12.5%
K 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 23
69.7%
@ 9
 
27.3%
. 1
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
t 2
50.0%
c 2
50.0%
Space Separator
ValueCountFrequency (%)
1023
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4731
56.2%
Hangul 3672
43.6%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 666
18.1%
번 320
 
8.7%
길 320
 
8.7%
동 134
 
3.6%
호 133
 
3.6%
평 115
 
3.1%
가 104
 
2.8%
민 86
 
2.3%
상 75
 
2.0%
층 68
 
1.9%
Other values (167) 1651
45.0%
Common
ValueCountFrequency (%)
1023
21.6%
1 793
16.8%
2 446
9.4%
3 359
 
7.6%
4 319
 
6.7%
5 315
 
6.7%
0 279
 
5.9%
6 271
 
5.7%
9 227
 
4.8%
7 222
 
4.7%
Other values (8) 477
10.1%
Latin
ValueCountFrequency (%)
t 2
16.7%
c 2
16.7%
O 2
16.7%
S 2
16.7%
A 1
8.3%
B 1
8.3%
G 1
8.3%
K 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4743
56.4%
Hangul 3672
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1023
21.6%
1 793
16.7%
2 446
9.4%
3 359
 
7.6%
4 319
 
6.7%
5 315
 
6.6%
0 279
 
5.9%
6 271
 
5.7%
9 227
 
4.8%
7 222
 
4.7%
Other values (16) 489
10.3%
Hangul
ValueCountFrequency (%)
로 666
18.1%
번 320
 
8.7%
길 320
 
8.7%
동 134
 
3.6%
호 133
 
3.6%
평 115
 
3.1%
가 104
 
2.8%
민 86
 
2.3%
상 75
 
2.0%
층 68
 
1.9%
Other values (167) 1651
45.0%

지정일자
Date

Distinct608
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
Minimum1900-01-01 00:00:00
Maximum2021-08-27 00:00:00
2023-12-12T19:05:08.744930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:05:08.986676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T19:05:06.051470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:05:09.149154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호동명
번호1.0000.939
동명0.9391.000
2023-12-12T19:05:09.755560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호동명
번호1.0000.710
동명0.7101.000

Missing values

2023-12-12T19:05:06.191085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:05:06.300320image/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

번호업소명동명주소지정일자
01(주)텃밭식자재할인마트 녹양점녹양동비우로 752018-12-21
12CU(가능 SK점)가능1동신촌로 22 SK뷰@ 상가101호2011-03-04
23GS25(의정이편한점)녹양동녹양로 34번길 472019-10-08
34CU(녹양 현대점)녹양동비우로 1052007-05-15
45세븐일레븐 의정부 승원점가능1동의정로198번길 572010-09-30
56행복마트(녹양)녹양동비우로108번길 8-52003-04-14
67노브랜드 의정부녹양점녹양동체육로 250-342017-07-19
78코리아세븐(녹양키움점)녹양동체육로 306-32 키움프라자 105호2009-04-29
89(주)비지에프리테일녹양동녹양로62번길 852004-11-04
910CU(의정부사이언스)녹양동체육로 216-12017-01-23
번호업소명동명주소지정일자
802803씨유 고산S3정문점송산2동훈민로 132021-07-08
803804씨유(고산정음점)송산2동정음로 152020-08-26
804805GS25(고산더휴점)송산2동입암로 132020-10-28
805806씨유 의정고산점송산2동훈민로 13(고산동)2021-07-26
806807(주)온더마켓송산2동쌀광길 9, 1층2021-04-26
807808이마트24(고산백봉점)송산2동문충로 1102020-12-07
808809(주)프레쉬마트(고산더휴점)송산2동입암로 132020-12-11
809810씨유 고산정음1단지송산2동입암로 142021-07-15
810811GS25(고산노블랜드점)송산2동서광로 2102021-01-04
811812씨유(고산대방점)송산2동서광로 2102021-01-08