Overview

Dataset statistics

Number of variables3
Number of observations861
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory26.2 B

Variable types

Text1
Numeric2

Dataset

Description과학기술정보통신부 우정사업본부에서 관리하는 서울특별시에 설치 되어있는 우체통 위치(주소)에 대한 데이터를 파일 형식으로 제공(23.8.31.기준)
URLhttps://www.data.go.kr/data/15121866/fileData.do

Alerts

위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:01:06.733317
Analysis finished2023-12-12 20:01:07.717567
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도로명주소
Text

Distinct860
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2023-12-13T05:01:07.995740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length21.910569
Min length12

Characters and Unicode

Total characters18865
Distinct characters370
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

Unique859 ?
Unique (%)99.8%

Sample

1st row서울 강남구 강남대로 272(도곡동)
2nd row서울 강남구 강남대로 314(역삼동)
3rd row서울 강남구 강남대로 324(역삼동)
4th row서울 강남구 개포로 504(개포동)
5th row서울 강남구 개포로 619(개포동)
ValueCountFrequency (%)
서울 861
 
21.0%
송파구 58
 
1.4%
강남구 46
 
1.1%
중랑구 44
 
1.1%
중구 44
 
1.1%
앞 44
 
1.1%
강동구 43
 
1.0%
영등포구 42
 
1.0%
용산구 41
 
1.0%
서대문구 41
 
1.0%
Other values (1581) 2835
69.2%
2023-12-13T05:01:08.505878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3259
 
17.3%
서 1042
 
5.5%
구 954
 
5.1%
로 910
 
4.8%
울 886
 
4.7%
동 795
 
4.2%
1 618
 
3.3%
) 587
 
3.1%
( 586
 
3.1%
2 490
 
2.6%
Other values (360) 8738
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11092
58.8%
Space Separator 3259
 
17.3%
Decimal Number 3200
 
17.0%
Close Punctuation 587
 
3.1%
Open Punctuation 586
 
3.1%
Dash Punctuation 132
 
0.7%
Uppercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1042
 
9.4%
구 954
 
8.6%
로 910
 
8.2%
울 886
 
8.0%
동 795
 
7.2%
대 231
 
2.1%
길 229
 
2.1%
강 169
 
1.5%
중 142
 
1.3%
신 132
 
1.2%
Other values (340) 5602
50.5%
Decimal Number
ValueCountFrequency (%)
1 618
19.3%
2 490
15.3%
3 376
11.8%
4 302
9.4%
5 275
8.6%
6 255
8.0%
7 239
 
7.5%
0 230
 
7.2%
8 213
 
6.7%
9 202
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
33.3%
K 2
22.2%
C 1
 
11.1%
A 1
 
11.1%
M 1
 
11.1%
G 1
 
11.1%
Space Separator
ValueCountFrequency (%)
3259
100.0%
Close Punctuation
ValueCountFrequency (%)
) 587
100.0%
Open Punctuation
ValueCountFrequency (%)
( 586
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11092
58.8%
Common 7764
41.2%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1042
 
9.4%
구 954
 
8.6%
로 910
 
8.2%
울 886
 
8.0%
동 795
 
7.2%
대 231
 
2.1%
길 229
 
2.1%
강 169
 
1.5%
중 142
 
1.3%
신 132
 
1.2%
Other values (340) 5602
50.5%
Common
ValueCountFrequency (%)
3259
42.0%
1 618
 
8.0%
) 587
 
7.6%
( 586
 
7.5%
2 490
 
6.3%
3 376
 
4.8%
4 302
 
3.9%
5 275
 
3.5%
6 255
 
3.3%
7 239
 
3.1%
Other values (4) 777
 
10.0%
Latin
ValueCountFrequency (%)
S 3
33.3%
K 2
22.2%
C 1
 
11.1%
A 1
 
11.1%
M 1
 
11.1%
G 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11092
58.8%
ASCII 7773
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3259
41.9%
1 618
 
8.0%
) 587
 
7.6%
( 586
 
7.5%
2 490
 
6.3%
3 376
 
4.8%
4 302
 
3.9%
5 275
 
3.5%
6 255
 
3.3%
7 239
 
3.1%
Other values (10) 786
 
10.1%
Hangul
ValueCountFrequency (%)
서 1042
 
9.4%
구 954
 
8.6%
로 910
 
8.2%
울 886
 
8.0%
동 795
 
7.2%
대 231
 
2.1%
길 229
 
2.1%
강 169
 
1.5%
중 142
 
1.3%
신 132
 
1.2%
Other values (340) 5602
50.5%

위도
Real number (ℝ)

UNIQUE 

Distinct861
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.551068
Minimum37.441065
Maximum37.684241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2023-12-13T05:01:08.692701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.441065
5-th percentile37.478485
Q137.510522
median37.550272
Q337.584955
95-th percentile37.644833
Maximum37.684241
Range0.24317601
Interquartile range (IQR)0.0744329

Descriptive statistics

Standard deviation0.050043068
Coefficient of variation (CV)0.001332667
Kurtosis-0.49944697
Mean37.551068
Median Absolute Deviation (MAD)0.03721129
Skewness0.32242047
Sum32331.47
Variance0.0025043086
MonotonicityNot monotonic
2023-12-13T05:01:08.847417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4879569 1
 
0.1%
37.51155038 1
 
0.1%
37.51634267 1
 
0.1%
37.51747167 1
 
0.1%
37.5199298 1
 
0.1%
37.5260871 1
 
0.1%
37.52712536 1
 
0.1%
37.5064454 1
 
0.1%
37.48114318 1
 
0.1%
37.47497012 1
 
0.1%
Other values (851) 851
98.8%
ValueCountFrequency (%)
37.44106535 1
0.1%
37.44776336 1
0.1%
37.44853714 1
0.1%
37.4497386 1
0.1%
37.45034152 1
0.1%
37.45088741 1
0.1%
37.45316237 1
0.1%
37.45646374 1
0.1%
37.45739933 1
0.1%
37.45822601 1
0.1%
ValueCountFrequency (%)
37.68424136 1
0.1%
37.68206262 1
0.1%
37.67967259 1
0.1%
37.67412664 1
0.1%
37.67310744 1
0.1%
37.67132263 1
0.1%
37.67029264 1
0.1%
37.66807913 1
0.1%
37.66629891 1
0.1%
37.66623744 1
0.1%

경도
Real number (ℝ)

UNIQUE 

Distinct861
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99287
Minimum126.80596
Maximum127.17884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2023-12-13T05:01:09.054490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.80596
5-th percentile126.84729
Q1126.91985
median127.00086
Q3127.0621
95-th percentile127.13048
Maximum127.17884
Range0.3728756
Interquartile range (IQR)0.1422583

Descriptive statistics

Standard deviation0.087356648
Coefficient of variation (CV)0.00068788624
Kurtosis-0.95033204
Mean126.99287
Median Absolute Deviation (MAD)0.0718421
Skewness-0.076920898
Sum109340.86
Variance0.007631184
MonotonicityNot monotonic
2023-12-13T05:01:09.308824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0327229 1
 
0.1%
127.0790053 1
 
0.1%
127.1036692 1
 
0.1%
127.1004922 1
 
0.1%
127.1122826 1
 
0.1%
127.1085812 1
 
0.1%
127.1160096 1
 
0.1%
127.0732431 1
 
0.1%
127.1439721 1
 
0.1%
127.1428465 1
 
0.1%
Other values (851) 851
98.8%
ValueCountFrequency (%)
126.8059634 1
0.1%
126.8118725 1
0.1%
126.8126676 1
0.1%
126.814955 1
0.1%
126.8158696 1
0.1%
126.8164911 1
0.1%
126.8182035 1
0.1%
126.8201545 1
0.1%
126.8202491 1
0.1%
126.8232056 1
0.1%
ValueCountFrequency (%)
127.178839 1
0.1%
127.1778788 1
0.1%
127.1733745 1
0.1%
127.1732001 1
0.1%
127.1730877 1
0.1%
127.1726382 1
0.1%
127.165174 1
0.1%
127.1643382 1
0.1%
127.1585483 1
0.1%
127.1551172 1
0.1%

Interactions

2023-12-13T05:01:07.303666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:01:07.022978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:01:07.415277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:01:07.173430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:01:09.457773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.577
경도0.5771.000
2023-12-13T05:01:09.573747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.203
경도0.2031.000

Missing values

2023-12-13T05:01:07.578797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:01:07.674612image/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

도로명주소위도경도
0서울 강남구 강남대로 272(도곡동)37.487957127.032723
1서울 강남구 강남대로 314(역삼동)37.491354127.031243
2서울 강남구 강남대로 324(역삼동)37.492176127.03068
3서울 강남구 개포로 504(개포동)37.489222127.067346
4서울 강남구 개포로 619(개포동)37.493373127.078121
5서울 강남구 광평로 303 (수서동)37.488663127.104988
6서울 강남구 광평로20길 8(일원동)37.483127127.086686
7서울 강남구 남부순환로 2806(도곡동)37.489166127.053393
8서울 강남구 남부순환로 2917(대치동)37.492911127.059197
9서울 강남구 논현로 720(논현동)37.516309127.02985
도로명주소위도경도
851서울 중랑구 용마산로 252 면목현대아파트 (면목동)37.575561127.08856
852서울 중랑구 용마산로 30937.571856127.087072
853서울 중랑구 용마산로 486 복지슈퍼 (망우동)37.594278127.099677
854서울 중랑구 용마산로 51937.5973127.100051
855서울 중랑구 용마산로 616 새한아파트 (신내동)37.605943127.101041
856서울 중랑구 중랑역로 23 (중화동)37.59611127.075818
857서울 중랑구 중랑역로 262 동양제일관광나이트 (묵동)37.615715127.077114
858서울 중랑구 중랑역로 72 동구햇살아파트 101동(중화동)37.599639127.078173
859서울 중랑구 중랑천로 111 (중화동)37.595138127.072096
860서울 중랑구 중랑천로 64 (면목동)37.591028127.073291