Overview

Dataset statistics

Number of variables5
Number of observations4788
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory201.2 KiB
Average record size in memory43.0 B

Variable types

Numeric3
Text2

Dataset

Description한국전력공사에서 운영하고 있는 전기차운영시스템에 등록되어 있는 전기차 충전소들의 위치정보(위경도) 입니다.
Author한국전력공사
URLhttps://www.data.go.kr/data/15102458/fileData.do

Alerts

충전소ID has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:13:42.707902
Analysis finished2024-03-16 04:13:46.295657
Duration3.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전소ID
Real number (ℝ)

UNIQUE 

Distinct4788
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2876.9263
Minimum2
Maximum5893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-03-16T13:13:46.416595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile310.35
Q11376.75
median2831.5
Q34418.25
95-th percentile5493.65
Maximum5893
Range5891
Interquartile range (IQR)3041.5

Descriptive statistics

Standard deviation1699.6802
Coefficient of variation (CV)0.59079728
Kurtosis-1.2306917
Mean2876.9263
Median Absolute Deviation (MAD)1510.5
Skewness0.058086748
Sum13774723
Variance2888912.8
MonotonicityNot monotonic
2024-03-16T13:13:46.621807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5880 1
 
< 0.1%
1991 1
 
< 0.1%
1988 1
 
< 0.1%
1987 1
 
< 0.1%
1986 1
 
< 0.1%
1985 1
 
< 0.1%
1984 1
 
< 0.1%
1983 1
 
< 0.1%
1982 1
 
< 0.1%
1981 1
 
< 0.1%
Other values (4778) 4778
99.8%
ValueCountFrequency (%)
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%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
5893 1
< 0.1%
5892 1
< 0.1%
5891 1
< 0.1%
5890 1
< 0.1%
5889 1
< 0.1%
5888 1
< 0.1%
5887 1
< 0.1%
5886 1
< 0.1%
5885 1
< 0.1%
5884 1
< 0.1%

충전소명
Text

Distinct4751
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size37.5 KiB
2024-03-16T13:13:47.053817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length9.0355054
Min length3

Characters and Unicode

Total characters43262
Distinct characters653
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4724 ?
Unique (%)98.7%

Sample

1st row해운대수목원
2nd row중리마을 공영주차장
3rd row(전주거치형)호계교회앞
4th row(전주거치형)상방복개천
5th row(전주거치형)신명해수욕장
ValueCountFrequency (%)
아파트 688
 
9.9%
공영주차장 165
 
2.4%
주차장 93
 
1.3%
행정복지센터 66
 
0.9%
충전소 47
 
0.7%
이마트 29
 
0.4%
한국농어촌공사 23
 
0.3%
하나로마트 22
 
0.3%
주민센터 22
 
0.3%
전기차충전소 20
 
0.3%
Other values (5214) 5773
83.1%
2024-03-16T13:13:47.762912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2161
 
5.0%
아 1560
 
3.6%
트 1518
 
3.5%
파 1494
 
3.5%
지 1325
 
3.1%
주 954
 
2.2%
차 930
 
2.1%
장 754
 
1.7%
공 712
 
1.6%
동 683
 
1.6%
Other values (643) 31171
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38725
89.5%
Space Separator 2161
 
5.0%
Decimal Number 1332
 
3.1%
Uppercase Letter 389
 
0.9%
Open Punctuation 239
 
0.6%
Close Punctuation 238
 
0.6%
Lowercase Letter 116
 
0.3%
Dash Punctuation 38
 
0.1%
Other Punctuation 19
 
< 0.1%
Connector Punctuation 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 1560
 
4.0%
트 1518
 
3.9%
파 1494
 
3.9%
지 1325
 
3.4%
주 954
 
2.5%
차 930
 
2.4%
장 754
 
1.9%
공 712
 
1.8%
동 683
 
1.8%
사 644
 
1.7%
Other values (583) 28151
72.7%
Uppercase Letter
ValueCountFrequency (%)
L 69
17.7%
H 60
15.4%
S 49
12.6%
K 30
7.7%
C 28
7.2%
G 22
 
5.7%
B 18
 
4.6%
T 16
 
4.1%
A 16
 
4.1%
E 14
 
3.6%
Other values (12) 67
17.2%
Lowercase Letter
ValueCountFrequency (%)
e 63
54.3%
k 12
 
10.3%
w 8
 
6.9%
r 6
 
5.2%
s 5
 
4.3%
o 3
 
2.6%
l 3
 
2.6%
a 3
 
2.6%
v 2
 
1.7%
n 2
 
1.7%
Other values (7) 9
 
7.8%
Decimal Number
ValueCountFrequency (%)
1 409
30.7%
2 394
29.6%
3 173
13.0%
5 73
 
5.5%
4 71
 
5.3%
6 63
 
4.7%
7 45
 
3.4%
0 42
 
3.2%
9 31
 
2.3%
8 31
 
2.3%
Other Punctuation
ValueCountFrequency (%)
. 8
42.1%
, 6
31.6%
· 4
21.1%
& 1
 
5.3%
Space Separator
ValueCountFrequency (%)
2161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 239
100.0%
Close Punctuation
ValueCountFrequency (%)
) 238
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅳ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38726
89.5%
Common 4030
 
9.3%
Latin 506
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 1560
 
4.0%
트 1518
 
3.9%
파 1494
 
3.9%
지 1325
 
3.4%
주 954
 
2.5%
차 930
 
2.4%
장 754
 
1.9%
공 712
 
1.8%
동 683
 
1.8%
사 644
 
1.7%
Other values (584) 28152
72.7%
Latin
ValueCountFrequency (%)
L 69
13.6%
e 63
12.5%
H 60
11.9%
S 49
 
9.7%
K 30
 
5.9%
C 28
 
5.5%
G 22
 
4.3%
B 18
 
3.6%
T 16
 
3.2%
A 16
 
3.2%
Other values (30) 135
26.7%
Common
ValueCountFrequency (%)
2161
53.6%
1 409
 
10.1%
2 394
 
9.8%
( 239
 
5.9%
) 238
 
5.9%
3 173
 
4.3%
5 73
 
1.8%
4 71
 
1.8%
6 63
 
1.6%
7 45
 
1.1%
Other values (9) 164
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38725
89.5%
ASCII 4531
 
10.5%
None 5
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2161
47.7%
1 409
 
9.0%
2 394
 
8.7%
( 239
 
5.3%
) 238
 
5.3%
3 173
 
3.8%
5 73
 
1.6%
4 71
 
1.6%
L 69
 
1.5%
e 63
 
1.4%
Other values (47) 641
 
14.1%
Hangul
ValueCountFrequency (%)
아 1560
 
4.0%
트 1518
 
3.9%
파 1494
 
3.9%
지 1325
 
3.4%
주 954
 
2.5%
차 930
 
2.4%
장 754
 
1.9%
공 712
 
1.8%
동 683
 
1.8%
사 644
 
1.7%
Other values (583) 28151
72.7%
None
ValueCountFrequency (%)
· 4
80.0%
㈜ 1
 
20.0%
Number Forms
ValueCountFrequency (%)
Ⅳ 1
100.0%

충전소주소
Text

Distinct4663
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size37.5 KiB
2024-03-16T13:13:48.390356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length249
Median length44
Mean length19.97452
Min length13

Characters and Unicode

Total characters95638
Distinct characters468
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4556 ?
Unique (%)95.2%

Sample

1st row부산광역시 해운대구 석대동 419
2nd row경상남도 김해시 한림면 안곡리 296-1
3rd row대구광역시 동구 신천동 344-5
4th row울산광역시 북구 연암동 417-3
5th row울산광역시 북구 신명동 286-6
ValueCountFrequency (%)
경기도 878
 
4.0%
서울특별시 611
 
2.8%
경상남도 429
 
2.0%
경상북도 393
 
1.8%
전라남도 268
 
1.2%
강원도 266
 
1.2%
대구광역시 256
 
1.2%
제주특별자치도 226
 
1.0%
충청북도 219
 
1.0%
충청남도 219
 
1.0%
Other values (6683) 18154
82.8%
2024-03-16T13:13:49.213047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17139
 
17.9%
시 4231
 
4.4%
동 3881
 
4.1%
1 3656
 
3.8%
도 3384
 
3.5%
구 2703
 
2.8%
2 2156
 
2.3%
- 2027
 
2.1%
경 1867
 
2.0%
3 1796
 
1.9%
Other values (458) 52798
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58390
61.1%
Decimal Number 17417
 
18.2%
Space Separator 17139
 
17.9%
Dash Punctuation 2027
 
2.1%
Lowercase Letter 206
 
0.2%
Open Punctuation 151
 
0.2%
Close Punctuation 151
 
0.2%
Other Punctuation 137
 
0.1%
Uppercase Letter 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 4231
 
7.2%
동 3881
 
6.6%
도 3384
 
5.8%
구 2703
 
4.6%
경 1867
 
3.2%
남 1468
 
2.5%
광 1282
 
2.2%
산 1269
 
2.2%
서 1259
 
2.2%
리 1232
 
2.1%
Other values (423) 35814
61.3%
Decimal Number
ValueCountFrequency (%)
1 3656
21.0%
2 2156
12.4%
3 1796
10.3%
5 1653
9.5%
4 1512
8.7%
6 1511
8.7%
0 1336
 
7.7%
7 1335
 
7.7%
8 1292
 
7.4%
9 1169
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
S 7
35.0%
C 2
 
10.0%
L 2
 
10.0%
A 2
 
10.0%
P 1
 
5.0%
G 1
 
5.0%
K 1
 
5.0%
V 1
 
5.0%
I 1
 
5.0%
E 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
l 99
48.1%
n 50
24.3%
u 49
23.8%
e 4
 
1.9%
o 1
 
0.5%
r 1
 
0.5%
k 1
 
0.5%
t 1
 
0.5%
Space Separator
ValueCountFrequency (%)
17139
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2027
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Other Punctuation
ValueCountFrequency (%)
, 137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58390
61.1%
Common 37022
38.7%
Latin 226
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 4231
 
7.2%
동 3881
 
6.6%
도 3384
 
5.8%
구 2703
 
4.6%
경 1867
 
3.2%
남 1468
 
2.5%
광 1282
 
2.2%
산 1269
 
2.2%
서 1259
 
2.2%
리 1232
 
2.1%
Other values (423) 35814
61.3%
Latin
ValueCountFrequency (%)
l 99
43.8%
n 50
22.1%
u 49
21.7%
S 7
 
3.1%
e 4
 
1.8%
C 2
 
0.9%
L 2
 
0.9%
A 2
 
0.9%
o 1
 
0.4%
P 1
 
0.4%
Other values (9) 9
 
4.0%
Common
ValueCountFrequency (%)
17139
46.3%
1 3656
 
9.9%
2 2156
 
5.8%
- 2027
 
5.5%
3 1796
 
4.9%
5 1653
 
4.5%
4 1512
 
4.1%
6 1511
 
4.1%
0 1336
 
3.6%
7 1335
 
3.6%
Other values (6) 2901
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58390
61.1%
ASCII 37247
38.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17139
46.0%
1 3656
 
9.8%
2 2156
 
5.8%
- 2027
 
5.4%
3 1796
 
4.8%
5 1653
 
4.4%
4 1512
 
4.1%
6 1511
 
4.1%
0 1336
 
3.6%
7 1335
 
3.6%
Other values (24) 3126
 
8.4%
Hangul
ValueCountFrequency (%)
시 4231
 
7.2%
동 3881
 
6.6%
도 3384
 
5.8%
구 2703
 
4.6%
경 1867
 
3.2%
남 1468
 
2.5%
광 1282
 
2.2%
산 1269
 
2.2%
서 1259
 
2.2%
리 1232
 
2.1%
Other values (423) 35814
61.3%
None
ValueCountFrequency (%)
７ 1
100.0%

위도
Real number (ℝ)

Distinct4729
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.377618
Minimum33
Maximum38.435167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-03-16T13:13:49.458711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile34.480357
Q135.425587
median36.513903
Q337.481007
95-th percentile37.738168
Maximum38.435167
Range5.435167
Interquartile range (IQR)2.0554199

Descriptive statistics

Standard deviation1.1793222
Coefficient of variation (CV)0.032418896
Kurtosis-0.29197357
Mean36.377618
Median Absolute Deviation (MAD)0.97767574
Skewness-0.65633962
Sum174176.03
Variance1.3908009
MonotonicityNot monotonic
2024-03-16T13:13:49.698403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.0 5
 
0.1%
35.416482 3
 
0.1%
38.0659822317274 3
 
0.1%
37.630923 2
 
< 0.1%
37.6833159799561 2
 
< 0.1%
35.168981 2
 
< 0.1%
36.34837 2
 
< 0.1%
35.2775958709851 2
 
< 0.1%
35.541383 2
 
< 0.1%
37.1408637110993 2
 
< 0.1%
Other values (4719) 4763
99.5%
ValueCountFrequency (%)
33.0 5
0.1%
33.2176097724 1
 
< 0.1%
33.226675317991536 1
 
< 0.1%
33.22774467675 1
 
< 0.1%
33.2339822 1
 
< 0.1%
33.23764166549864 1
 
< 0.1%
33.244668 1
 
< 0.1%
33.245004 1
 
< 0.1%
33.2460305935934 1
 
< 0.1%
33.2480065029 1
 
< 0.1%
ValueCountFrequency (%)
38.435167 1
< 0.1%
38.3802412741886 1
< 0.1%
38.37809 1
< 0.1%
38.37671403568965 1
< 0.1%
38.3291686286793 1
< 0.1%
38.22964469689153 1
< 0.1%
38.22268821348361 1
< 0.1%
38.222644589776166 1
< 0.1%
38.2122863803167 1
< 0.1%
38.2117613951965 1
< 0.1%

경도
Real number (ℝ)

Distinct4728
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.56217
Minimum124
Maximum130.90998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.2 KiB
2024-03-16T13:13:49.917616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124
5-th percentile126.51534
Q1126.90854
median127.16372
Q3128.42824
95-th percentile129.11786
Maximum130.90998
Range6.9099814
Interquartile range (IQR)1.5196969

Descriptive statistics

Standard deviation0.87835815
Coefficient of variation (CV)0.0068857261
Kurtosis-0.54616803
Mean127.56217
Median Absolute Deviation (MAD)0.44664037
Skewness0.60038611
Sum610767.66
Variance0.77151304
MonotonicityNot monotonic
2024-03-16T13:13:50.181629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124.0 5
 
0.1%
128.166215568998 3
 
0.1%
127.386581 3
 
0.1%
126.827539082891 2
 
< 0.1%
128.989701 2
 
< 0.1%
127.30584518684203 2
 
< 0.1%
129.34765679640702 2
 
< 0.1%
128.5584402695613 2
 
< 0.1%
126.762958059199 2
 
< 0.1%
128.692159300145 2
 
< 0.1%
Other values (4718) 4763
99.5%
ValueCountFrequency (%)
124.0 5
0.1%
125.92586609874 2
 
< 0.1%
125.95496354495008 1
 
< 0.1%
125.955115705907 1
 
< 0.1%
126.125828438682 1
 
< 0.1%
126.130643214788 1
 
< 0.1%
126.143817 1
 
< 0.1%
126.19008124602 1
 
< 0.1%
126.190254579291 1
 
< 0.1%
126.228399 1
 
< 0.1%
ValueCountFrequency (%)
130.9099813787771 1
< 0.1%
130.87354516062845 1
< 0.1%
130.8735451 1
< 0.1%
130.871616439145 1
< 0.1%
130.83873808570354 1
< 0.1%
130.8223316899 1
< 0.1%
130.0 1
< 0.1%
129.5729487 1
< 0.1%
129.556235 1
< 0.1%
129.4952298583837 1
< 0.1%

Interactions

2024-03-16T13:13:45.214791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:44.013898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:44.659684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:45.383203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:44.251471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:44.816180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:45.601259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:44.456063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:13:44.977917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:13:50.359715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전소ID위도경도
충전소ID1.0000.3060.183
위도0.3061.0000.594
경도0.1830.5941.000
2024-03-16T13:13:50.483028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전소ID위도경도
충전소ID1.000-0.0780.122
위도-0.0781.000-0.197
경도0.122-0.1971.000

Missing values

2024-03-16T13:13:45.934826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:13:46.195619image/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

충전소ID충전소명충전소주소위도경도
05880해운대수목원부산광역시 해운대구 석대동 41935.226388129.127729
15882중리마을 공영주차장경상남도 김해시 한림면 안곡리 296-135.299427128.842507
25884(전주거치형)호계교회앞대구광역시 동구 신천동 344-535.870013128.62965
35885(전주거치형)상방복개천울산광역시 북구 연암동 417-335.580917129.363741
45886(전주거치형)신명해수욕장울산광역시 북구 신명동 286-635.644686129.44126
55887(전주거치형)무지개아파트2차 앞울산광역시 북구 신천동 250-135.635475129.351448
65888(전주거치형)대송동 주민센터울산광역시 동구 화정동 137-2535.502684129.418909
75889(전주거치형)대하크리스탈울산광역시 동구 화정동 850-1135.497391129.420084
85890(전주거치형)주전동 548-2울산광역시 동구 주전동 548-235.571384129.452338
95891(전주거치형)남목중학교울산광역시 동구 서부동 56835.538414129.423562
충전소ID충전소명충전소주소위도경도
477889곡성지사전라남도 곡성군 곡성읍 읍내리 792-2135.277596127.291137
477990광산지사광주광역시 광산구 소촌동 65435.14731126.78983
478092광주전남직할(공용)광주광역시 북구 오치동 99135.185048126.906775
478194나주지사전라남도 나주시 왕건길 5335.017546126.713099
478295담양지사전라남도 담양군 담양읍 백동리 348-135.309404126.984069
478396목포지사전라남도 목포시 용해동 115-234.803455126.40946
478497무안지사전라남도 무안군 무안읍 교촌리 70-234.991681126.471073
478598보성지사전라남도 보성군 보성읍 원봉리 1734.762385127.072596
478699서광주지사광주광역시 서구 농성동 161-135.151457126.891037
47875261북부산지사(공용)부산광역시 사상구 덕포동 8935.168981128.989701