Overview

Dataset statistics

Number of variables4
Number of observations1737
Missing cells121
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.1 KiB
Average record size in memory33.1 B

Variable types

Text2
DateTime1
Numeric1

Dataset

Description용인시 종량제봉투 판매업소 위치 등 정보를 제공하고 있습니다. 자세한 문의사항은 용인도시공사 환경사업팀에 문의 바랍니다.
Author용인도시공사
URLhttps://www.data.go.kr/data/15060018/fileData.do

Alerts

주소 has 36 (2.1%) missing valuesMissing
등록일 has 85 (4.9%) missing valuesMissing
지정번호 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:35:27.529803
Analysis finished2024-04-29 22:35:28.569772
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

거래처명
Text

Distinct1689
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size13.7 KiB
2024-04-30T07:35:28.749896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length25
Mean length10.271733
Min length2

Characters and Unicode

Total characters17842
Distinct characters485
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

Unique1654 ?
Unique (%)95.2%

Sample

1st row(주)에스피에스
2nd row(주)이플러스마트
3rd row(주)지에스리테일용인포곡점
4th row(주)코리아세븐 용인전대리점
5th row(주)코리아세븐 용인제일메디점
ValueCountFrequency (%)
씨유 263
 
8.8%
세븐일레븐 193
 
6.4%
지에스25 112
 
3.7%
gs25 94
 
3.1%
이마트24 76
 
2.5%
씨유(cu 38
 
1.3%
지에스25(gs25 37
 
1.2%
주)코리아세븐 34
 
1.1%
주식회사 32
 
1.1%
지에스(gs)25 26
 
0.9%
Other values (1677) 2088
69.8%
2024-04-30T07:35:29.150570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1264
 
7.1%
점 1204
 
6.7%
인 592
 
3.3%
용 556
 
3.1%
지 530
 
3.0%
2 487
 
2.7%
븐 468
 
2.6%
마 436
 
2.4%
스 415
 
2.3%
유 393
 
2.2%
Other values (475) 11497
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14264
79.9%
Space Separator 1264
 
7.1%
Decimal Number 1023
 
5.7%
Uppercase Letter 667
 
3.7%
Close Punctuation 293
 
1.6%
Open Punctuation 292
 
1.6%
Lowercase Letter 31
 
0.2%
Other Punctuation 4
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1204
 
8.4%
인 592
 
4.2%
용 556
 
3.9%
지 530
 
3.7%
븐 468
 
3.3%
마 436
 
3.1%
스 415
 
2.9%
유 393
 
2.8%
트 386
 
2.7%
씨 350
 
2.5%
Other values (425) 8934
62.6%
Uppercase Letter
ValueCountFrequency (%)
S 228
34.2%
G 213
31.9%
C 64
 
9.6%
U 52
 
7.8%
R 21
 
3.1%
T 13
 
1.9%
A 13
 
1.9%
I 10
 
1.5%
M 10
 
1.5%
E 9
 
1.3%
Other values (11) 34
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
19.4%
l 6
19.4%
s 4
12.9%
f 3
9.7%
p 3
9.7%
c 2
 
6.5%
u 2
 
6.5%
h 1
 
3.2%
t 1
 
3.2%
k 1
 
3.2%
Other values (2) 2
 
6.5%
Decimal Number
ValueCountFrequency (%)
2 487
47.6%
5 384
37.5%
4 110
 
10.8%
3 13
 
1.3%
1 12
 
1.2%
6 8
 
0.8%
9 6
 
0.6%
0 2
 
0.2%
7 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
/ 1
25.0%
, 1
25.0%
Space Separator
ValueCountFrequency (%)
1264
100.0%
Close Punctuation
ValueCountFrequency (%)
) 293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14264
79.9%
Common 2880
 
16.1%
Latin 698
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1204
 
8.4%
인 592
 
4.2%
용 556
 
3.9%
지 530
 
3.7%
븐 468
 
3.3%
마 436
 
3.1%
스 415
 
2.9%
유 393
 
2.8%
트 386
 
2.7%
씨 350
 
2.5%
Other values (425) 8934
62.6%
Latin
ValueCountFrequency (%)
S 228
32.7%
G 213
30.5%
C 64
 
9.2%
U 52
 
7.4%
R 21
 
3.0%
T 13
 
1.9%
A 13
 
1.9%
I 10
 
1.4%
M 10
 
1.4%
E 9
 
1.3%
Other values (23) 65
 
9.3%
Common
ValueCountFrequency (%)
1264
43.9%
2 487
 
16.9%
5 384
 
13.3%
) 293
 
10.2%
( 292
 
10.1%
4 110
 
3.8%
3 13
 
0.5%
1 12
 
0.4%
6 8
 
0.3%
9 6
 
0.2%
Other values (7) 11
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14264
79.9%
ASCII 3578
 
20.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1264
35.3%
2 487
 
13.6%
5 384
 
10.7%
) 293
 
8.2%
( 292
 
8.2%
S 228
 
6.4%
G 213
 
6.0%
4 110
 
3.1%
C 64
 
1.8%
U 52
 
1.5%
Other values (40) 191
 
5.3%
Hangul
ValueCountFrequency (%)
점 1204
 
8.4%
인 592
 
4.2%
용 556
 
3.9%
지 530
 
3.7%
븐 468
 
3.3%
마 436
 
3.1%
스 415
 
2.9%
유 393
 
2.8%
트 386
 
2.7%
씨 350
 
2.5%
Other values (425) 8934
62.6%

주소
Text

MISSING 

Distinct1516
Distinct (%)89.1%
Missing36
Missing (%)2.1%
Memory size13.7 KiB
2024-04-30T07:35:29.423409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length14.109347
Min length9

Characters and Unicode

Total characters24000
Distinct characters188
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1360 ?
Unique (%)80.0%

Sample

1st row처인구 포곡읍 성산로542번길 33-8
2nd row처인구 포곡읍 석성로 1165
3rd row처인구 포곡읍 둔전로47번길 21
4th row처인구 포곡읍 포곡로 220
5th row처인구 포곡읍 포곡로 159-1
ValueCountFrequency (%)
처인구 675
 
12.0%
기흥구 609
 
10.8%
수지구 386
 
6.8%
포곡읍 105
 
1.9%
양지면 65
 
1.2%
백옥대로 60
 
1.1%
중부대로 52
 
0.9%
모현면 41
 
0.7%
모현읍 41
 
0.7%
이동면 39
 
0.7%
Other values (1217) 3567
63.2%
2024-04-30T07:35:29.819452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3941
 
16.4%
구 1807
 
7.5%
로 1699
 
7.1%
1 1369
 
5.7%
2 949
 
4.0%
기 723
 
3.0%
인 710
 
3.0%
처 684
 
2.9%
흥 680
 
2.8%
길 634
 
2.6%
Other values (178) 10804
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13756
57.3%
Decimal Number 6040
25.2%
Space Separator 3941
 
16.4%
Dash Punctuation 254
 
1.1%
Other Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1807
 
13.1%
로 1699
 
12.4%
기 723
 
5.3%
인 710
 
5.2%
처 684
 
5.0%
흥 680
 
4.9%
길 634
 
4.6%
번 634
 
4.6%
지 552
 
4.0%
수 450
 
3.3%
Other values (163) 5183
37.7%
Decimal Number
ValueCountFrequency (%)
1 1369
22.7%
2 949
15.7%
3 620
10.3%
6 505
 
8.4%
7 482
 
8.0%
4 477
 
7.9%
5 470
 
7.8%
8 416
 
6.9%
0 401
 
6.6%
9 351
 
5.8%
Space Separator
ValueCountFrequency (%)
3941
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 254
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13756
57.3%
Common 10244
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1807
 
13.1%
로 1699
 
12.4%
기 723
 
5.3%
인 710
 
5.2%
처 684
 
5.0%
흥 680
 
4.9%
길 634
 
4.6%
번 634
 
4.6%
지 552
 
4.0%
수 450
 
3.3%
Other values (163) 5183
37.7%
Common
ValueCountFrequency (%)
3941
38.5%
1 1369
 
13.4%
2 949
 
9.3%
3 620
 
6.1%
6 505
 
4.9%
7 482
 
4.7%
4 477
 
4.7%
5 470
 
4.6%
8 416
 
4.1%
0 401
 
3.9%
Other values (5) 614
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13756
57.3%
ASCII 10244
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3941
38.5%
1 1369
 
13.4%
2 949
 
9.3%
3 620
 
6.1%
6 505
 
4.9%
7 482
 
4.7%
4 477
 
4.7%
5 470
 
4.6%
8 416
 
4.1%
0 401
 
3.9%
Other values (5) 614
 
6.0%
Hangul
ValueCountFrequency (%)
구 1807
 
13.1%
로 1699
 
12.4%
기 723
 
5.3%
인 710
 
5.2%
처 684
 
5.0%
흥 680
 
4.9%
길 634
 
4.6%
번 634
 
4.6%
지 552
 
4.0%
수 450
 
3.3%
Other values (163) 5183
37.7%

등록일
Date

MISSING 

Distinct1156
Distinct (%)70.0%
Missing85
Missing (%)4.9%
Memory size13.7 KiB
Minimum2006-06-16 00:00:00
Maximum2024-03-29 00:00:00
2024-04-30T07:35:29.955800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:35:30.107057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

지정번호
Real number (ℝ)

UNIQUE 

Distinct1737
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161916.83
Minimum0
Maximum460011
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.4 KiB
2024-04-30T07:35:30.251401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13129.6
Q174190
median144012
Q3234440
95-th percentile360025.2
Maximum460011
Range460011
Interquartile range (IQR)160250

Descriptive statistics

Standard deviation107558.32
Coefficient of variation (CV)0.66428126
Kurtosis-0.29354945
Mean161916.83
Median Absolute Deviation (MAD)79734
Skewness0.58524008
Sum2.8124954 × 108
Variance1.1568792 × 1010
MonotonicityNot monotonic
2024-04-30T07:35:30.385098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13040 1
 
0.1%
174042 1
 
0.1%
174024 1
 
0.1%
174044 1
 
0.1%
173382 1
 
0.1%
174030 1
 
0.1%
174021 1
 
0.1%
320046 1
 
0.1%
173940 1
 
0.1%
174002 1
 
0.1%
Other values (1727) 1727
99.4%
ValueCountFrequency (%)
0 1
0.1%
12858 1
0.1%
12905 1
0.1%
12911 1
0.1%
12913 1
0.1%
12929 1
0.1%
12941 1
0.1%
12950 1
0.1%
12956 1
0.1%
12958 1
0.1%
ValueCountFrequency (%)
460011 1
0.1%
460010 1
0.1%
460009 1
0.1%
460008 1
0.1%
460007 1
0.1%
460006 1
0.1%
460005 1
0.1%
460004 1
0.1%
460002 1
0.1%
450004 1
0.1%

Interactions

2024-04-30T07:35:28.213645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-30T07:35:28.353688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:35:28.432203image/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.
2024-04-30T07:35:28.522253image/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

거래처명주소등록일지정번호
0(주)에스피에스처인구 포곡읍 성산로542번길 33-82015-11-1713040
1(주)이플러스마트처인구 포곡읍 석성로 11652017-10-1113072
2(주)지에스리테일용인포곡점처인구 포곡읍 둔전로47번길 212016-12-2712974
3(주)코리아세븐 용인전대리점<NA>2016-02-2613045
4(주)코리아세븐 용인제일메디점처인구 포곡읍 포곡로 2202022-07-2713134
5(주)코리아세븐 용인포곡쉐르점처인구 포곡읍 포곡로 159-12016-10-1913059
61004식자재마트처인구 포곡읍 포곡로141번길 182018-04-0913078
7365PLUS 용인신원점처인구 포곡읍 곡현로 2992015-08-1713038
8365플러스 용인포곡점처인구 포곡읍 전대로49번길 12014-05-1913025
9CU용인그대고운내사랑점처인구 포곡읍 전성로 202020-07-0213108
거래처명주소등록일지정번호
1727롯데쇼핑(주) 롯데슈퍼 화성반월점경기 화성시 영통로26번길 332012-05-21153934
1728주식회사 반월농민마트경기 화성시 영통로26번길 72019-09-24310006
1729주식회사 식재료마켓경기 화성시 경기동로 484-22019-07-25310005
1730(주)다인유통경기 광주시 오포읍 오포로 1432017-07-04350001
1731OK마트경기 광주시 오포읍 능평로 2152019-01-0222610
1732대한식자재마트경기 광주시 오포읍 오포로 425-122022-06-30350007
1733씨유 광주오포왕림점광주시 오포읍 왕림로 452021-04-23350005
1734씨유 오포왕림점경기 광주시 오포읍 왕림로 532017-11-21350002
1735종량제봉투 판매소처인구 경안천로 762016-12-220
1736주식회사 태현유통경기 광주시 오포읍 능평로 2152020-01-15350003