Overview

Dataset statistics

Number of variables7
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory61.0 B

Variable types

Text2
Numeric2
Categorical2
DateTime1

Dataset

Description경주시 황리단길 구역 내의 주요 골목을 대상으로 촬영한 거리뷰(거리ID, 홈페이지주소, 위도, 경도 등) VR을 상상황리단길 홈페이지에서 볼 수 있도록 자료를 제공합니다.
Author경상북도 경주시
URLhttps://www.data.go.kr/data/15112551/fileData.do

Alerts

운영기관명 has constant value ""Constant
운영기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
거리ID has unique valuesUnique
홈페이지주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:27:35.929213
Analysis finished2023-12-12 16:27:36.846603
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

거리ID
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T01:27:37.386088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters132
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st rowA01
2nd rowA02
3rd rowA03
4th rowA04
5th rowA05
ValueCountFrequency (%)
a01 1
 
2.3%
a02 1
 
2.3%
e03 1
 
2.3%
d03 1
 
2.3%
d04 1
 
2.3%
d05 1
 
2.3%
d07 1
 
2.3%
d08 1
 
2.3%
d09 1
 
2.3%
e01 1
 
2.3%
Other values (34) 34
77.3%
2023-12-13T01:27:37.793709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44
33.3%
A 10
 
7.6%
1 9
 
6.8%
D 8
 
6.1%
2 7
 
5.3%
B 7
 
5.3%
3 7
 
5.3%
4 7
 
5.3%
5 5
 
3.8%
G 5
 
3.8%
Other values (8) 23
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88
66.7%
Uppercase Letter 44
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
50.0%
1 9
 
10.2%
2 7
 
8.0%
3 7
 
8.0%
4 7
 
8.0%
5 5
 
5.7%
7 3
 
3.4%
9 2
 
2.3%
8 2
 
2.3%
6 2
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
A 10
22.7%
D 8
18.2%
B 7
15.9%
G 5
11.4%
C 5
11.4%
F 4
 
9.1%
E 4
 
9.1%
H 1
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
Common 88
66.7%
Latin 44
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
50.0%
1 9
 
10.2%
2 7
 
8.0%
3 7
 
8.0%
4 7
 
8.0%
5 5
 
5.7%
7 3
 
3.4%
9 2
 
2.3%
8 2
 
2.3%
6 2
 
2.3%
Latin
ValueCountFrequency (%)
A 10
22.7%
D 8
18.2%
B 7
15.9%
G 5
11.4%
C 5
11.4%
F 4
 
9.1%
E 4
 
9.1%
H 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44
33.3%
A 10
 
7.6%
1 9
 
6.8%
D 8
 
6.1%
2 7
 
5.3%
B 7
 
5.3%
3 7
 
5.3%
4 7
 
5.3%
5 5
 
3.8%
G 5
 
3.8%
Other values (8) 23
17.4%

홈페이지주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-13T01:27:38.119119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length28
Mean length28
Min length28

Characters and Unicode

Total characters1232
Distinct characters33
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st rowhttp://황리단길.net/road/?t=a_01
2nd rowhttp://황리단길.net/road/?t=a_02
3rd rowhttp://황리단길.net/road/?t=a_03
4th rowhttp://황리단길.net/road/?t=a_04
5th rowhttp://황리단길.net/road/?t=a_05
ValueCountFrequency (%)
http://황리단길.net/road/?t=a_01 1
 
2.3%
http://황리단길.net/road/?t=a_02 1
 
2.3%
http://황리단길.net/road/?t=e_03 1
 
2.3%
http://황리단길.net/road/?t=d_03 1
 
2.3%
http://황리단길.net/road/?t=d_04 1
 
2.3%
http://황리단길.net/road/?t=d_05 1
 
2.3%
http://황리단길.net/road/?t=d_07 1
 
2.3%
http://황리단길.net/road/?t=d_08 1
 
2.3%
http://황리단길.net/road/?t=d_09 1
 
2.3%
http://황리단길.net/road/?t=e_01 1
 
2.3%
Other values (34) 34
77.3%
2023-12-13T01:27:38.577577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 176
 
14.3%
t 176
 
14.3%
a 54
 
4.4%
d 52
 
4.2%
e 48
 
3.9%
h 45
 
3.7%
0 44
 
3.6%
_ 44
 
3.6%
= 44
 
3.6%
o 44
 
3.6%
Other values (23) 505
41.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 572
46.4%
Other Punctuation 308
25.0%
Other Letter 176
 
14.3%
Decimal Number 88
 
7.1%
Connector Punctuation 44
 
3.6%
Math Symbol 44
 
3.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 176
30.8%
a 54
 
9.4%
d 52
 
9.1%
e 48
 
8.4%
h 45
 
7.9%
o 44
 
7.7%
r 44
 
7.7%
n 44
 
7.7%
p 44
 
7.7%
b 7
 
1.2%
Other values (3) 14
 
2.4%
Decimal Number
ValueCountFrequency (%)
0 44
50.0%
1 9
 
10.2%
3 7
 
8.0%
4 7
 
8.0%
2 7
 
8.0%
5 5
 
5.7%
7 3
 
3.4%
6 2
 
2.3%
8 2
 
2.3%
9 2
 
2.3%
Other Punctuation
ValueCountFrequency (%)
/ 176
57.1%
? 44
 
14.3%
: 44
 
14.3%
. 44
 
14.3%
Other Letter
ValueCountFrequency (%)
길 44
25.0%
단 44
25.0%
리 44
25.0%
황 44
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 44
100.0%
Math Symbol
ValueCountFrequency (%)
= 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 572
46.4%
Common 484
39.3%
Hangul 176
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 176
36.4%
0 44
 
9.1%
_ 44
 
9.1%
= 44
 
9.1%
? 44
 
9.1%
: 44
 
9.1%
. 44
 
9.1%
1 9
 
1.9%
3 7
 
1.4%
4 7
 
1.4%
Other values (6) 21
 
4.3%
Latin
ValueCountFrequency (%)
t 176
30.8%
a 54
 
9.4%
d 52
 
9.1%
e 48
 
8.4%
h 45
 
7.9%
o 44
 
7.7%
r 44
 
7.7%
n 44
 
7.7%
p 44
 
7.7%
b 7
 
1.2%
Other values (3) 14
 
2.4%
Hangul
ValueCountFrequency (%)
길 44
25.0%
단 44
25.0%
리 44
25.0%
황 44
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1056
85.7%
Hangul 176
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 176
16.7%
t 176
16.7%
a 54
 
5.1%
d 52
 
4.9%
e 48
 
4.5%
h 45
 
4.3%
0 44
 
4.2%
_ 44
 
4.2%
= 44
 
4.2%
o 44
 
4.2%
Other values (19) 329
31.2%
Hangul
ValueCountFrequency (%)
길 44
25.0%
단 44
25.0%
리 44
25.0%
황 44
25.0%

위도
Real number (ℝ)

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.836186
Minimum35.833082
Maximum35.839313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-13T01:27:38.724403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.833082
5-th percentile35.833784
Q135.834865
median35.836167
Q335.837387
95-th percentile35.838871
Maximum35.839313
Range0.0062306
Interquartile range (IQR)0.002521975

Descriptive statistics

Standard deviation0.0016263432
Coefficient of variation (CV)4.5382707 × 10-5
Kurtosis-0.81606818
Mean35.836186
Median Absolute Deviation (MAD)0.0012976
Skewness0.19426237
Sum1576.7922
Variance2.6449921 × 10-6
MonotonicityNot monotonic
2023-12-13T01:27:38.859404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
35.834865 2
 
4.5%
35.8393127 1
 
2.3%
35.8355069 1
 
2.3%
35.8353959 1
 
2.3%
35.8352057 1
 
2.3%
35.8362042 1
 
2.3%
35.8361923 1
 
2.3%
35.835487 1
 
2.3%
35.8346471 1
 
2.3%
35.833716 1
 
2.3%
Other values (33) 33
75.0%
ValueCountFrequency (%)
35.8330821 1
2.3%
35.833716 1
2.3%
35.8337794 1
2.3%
35.8338071 1
2.3%
35.8342152 1
2.3%
35.8344371 1
2.3%
35.8344965 1
2.3%
35.834556 1
2.3%
35.8346471 1
2.3%
35.8347263 1
2.3%
ValueCountFrequency (%)
35.8393127 1
2.3%
35.8392056 1
2.3%
35.8389124 1
2.3%
35.838639 1
2.3%
35.8385697 1
2.3%
35.8384964 1
2.3%
35.838013 1
2.3%
35.8379952 1
2.3%
35.8379575 1
2.3%
35.8375276 1
2.3%

경도
Real number (ℝ)

Distinct43
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.20926
Minimum129.20689
Maximum129.21327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-13T01:27:39.046792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.20689
5-th percentile129.20715
Q1129.20813
median129.20913
Q3129.20995
95-th percentile129.21211
Maximum129.21327
Range0.006383
Interquartile range (IQR)0.001820575

Descriptive statistics

Standard deviation0.0015759715
Coefficient of variation (CV)1.2197048 × 10-5
Kurtosis0.22362225
Mean129.20926
Median Absolute Deviation (MAD)0.0009034
Skewness0.63374911
Sum5685.2074
Variance2.4836862 × 10-6
MonotonicityNot monotonic
2023-12-13T01:27:39.211527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
129.2098944 2
 
4.5%
129.2092467 1
 
2.3%
129.2072378 1
 
2.3%
129.2089316 1
 
2.3%
129.2096844 1
 
2.3%
129.2105402 1
 
2.3%
129.2099816 1
 
2.3%
129.2091495 1
 
2.3%
129.2071646 1
 
2.3%
129.2071527 1
 
2.3%
Other values (33) 33
75.0%
ValueCountFrequency (%)
129.2068871 1
2.3%
129.2069505 1
2.3%
129.2071527 1
2.3%
129.2071646 1
2.3%
129.2072378 1
2.3%
129.2072913 1
2.3%
129.207422 1
2.3%
129.2074419 1
2.3%
129.2074696 1
2.3%
129.207949 1
2.3%
ValueCountFrequency (%)
129.2132701 1
2.3%
129.2129174 1
2.3%
129.212129 1
2.3%
129.2120062 1
2.3%
129.2119111 1
2.3%
129.2105996 1
2.3%
129.2105402 1
2.3%
129.2104253 1
2.3%
129.2104095 1
2.3%
129.2100926 1
2.3%

운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
경상북도 경주시
44 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도 경주시
2nd row경상북도 경주시
3rd row경상북도 경주시
4th row경상북도 경주시
5th row경상북도 경주시

Common Values

ValueCountFrequency (%)
경상북도 경주시 44
100.0%

Length

2023-12-13T01:27:39.392050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:27:39.509929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 44
50.0%
경주시 44
50.0%

운영기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
054-779-6193
44 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row054-779-6193
2nd row054-779-6193
3rd row054-779-6193
4th row054-779-6193
5th row054-779-6193

Common Values

ValueCountFrequency (%)
054-779-6193 44
100.0%

Length

2023-12-13T01:27:39.641750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:27:39.735569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
054-779-6193 44
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2023-02-28 00:00:00
Maximum2023-02-28 00:00:00
2023-12-13T01:27:39.833401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:27:39.973202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:27:36.377786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:27:36.138039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:27:36.493156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:27:36.258632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:27:40.049899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
거리ID홈페이지주소위도경도
거리ID1.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.000
위도1.0001.0001.0000.000
경도1.0001.0000.0001.000
2023-12-13T01:27:40.175470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.162
경도-0.1621.000

Missing values

2023-12-13T01:27:36.648421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:27:36.790164image/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

거리ID홈페이지주소위도경도운영기관명운영기관전화번호데이터기준일자
0A01http://황리단길.net/road/?t=a_0135.839313129.209247경상북도 경주시054-779-61932023-02-28
1A02http://황리단길.net/road/?t=a_0235.836678129.207238경상북도 경주시054-779-61932023-02-28
2A03http://황리단길.net/road/?t=a_0335.838912129.209013경상북도 경주시054-779-61932023-02-28
3A04http://황리단길.net/road/?t=a_0435.837995129.207422경상북도 경주시054-779-61932023-02-28
4A05http://황리단길.net/road/?t=a_0535.837528129.20747경상북도 경주시054-779-61932023-02-28
5A06http://황리단길.net/road/?t=a_0635.83857129.208579경상북도 경주시054-779-61932023-02-28
6A07http://황리단길.net/road/?t=a_0735.837359129.20873경상북도 경주시054-779-61932023-02-28
7A08http://황리단길.net/road/?t=a_0835.838639129.208302경상북도 경주시054-779-61932023-02-28
8A09http://황리단길.net/road/?t=a_0935.839206129.208131경상북도 경주시054-779-61932023-02-28
9A10http://황리단길.net/road/?t=a_1035.837958129.20863경상북도 경주시054-779-61932023-02-28
거리ID홈페이지주소위도경도운영기관명운영기관전화번호데이터기준일자
34F01http://황리단길.net/road/?t=f_0135.834556129.209565경상북도 경주시054-779-61932023-02-28
35F02http://황리단길.net/road/?t=f_0235.834497129.2106경상북도 경주시054-779-61932023-02-28
36F03http://황리단길.net/road/?t=f_0335.833807129.20993경상북도 경주시054-779-61932023-02-28
37F04http://황리단길.net/road/?t=f_0435.834215129.210425경상북도 경주시054-779-61932023-02-28
38G01http://황리단길.net/road/?t=g_0135.835863129.212006경상북도 경주시054-779-61932023-02-28
39G02http://황리단길.net/road/?t=g_0235.835804129.211911경상북도 경주시054-779-61932023-02-28
40G03http://황리단길.net/road/?t=g_0335.834437129.212129경상북도 경주시054-779-61932023-02-28
41G04http://황리단길.net/road/?t=g_0435.834865129.21327경상북도 경주시054-779-61932023-02-28
42G05http://황리단길.net/road/?t=g_0535.835578129.212917경상북도 경주시054-779-61932023-02-28
43H01http://황리단길.net/road/?t=h_0135.833082129.207442경상북도 경주시054-779-61932023-02-28