Overview

Dataset statistics

Number of variables27
Number of observations205
Missing cells205
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.6 KiB
Average record size in memory222.6 B

Variable types

Text3
Categorical4
Numeric5
DateTime3
Boolean11
Unsupported1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실)
Author공공데이터포털
URLhttps://www.data.go.kr/data/15025446/fileData.do

Alerts

도로종류 has constant value ""Constant
휴게소운영시작시각 has constant value ""Constant
휴게소운영종료시각 has constant value ""Constant
화장실유무 has constant value ""Constant
매점유무 has constant value ""Constant
데이터기준일자 has constant value ""Constant
휴게소종류 is highly imbalanced (56.7%)Imbalance
경정비가능여부 is highly imbalanced (52.3%)Imbalance
주유소유무 is highly imbalanced (95.6%)Imbalance
전기차충전소유무 is highly imbalanced (71.9%)Imbalance
버스환승가능여부 is highly imbalanced (76.2%)Imbalance
약국유무 is highly imbalanced (83.5%)Imbalance
수유실유무 is highly imbalanced (95.6%)Imbalance
음식점유무 is highly imbalanced (95.6%)Imbalance
기타편의시설 has 205 (100.0%) missing valuesMissing
휴게소명 has unique valuesUnique
휴게소전화번호 has unique valuesUnique
기타편의시설 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-21 20:42:01.170695
Analysis finished2024-04-21 20:42:01.771058
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

휴게소명
Text

UNIQUE 

Distinct205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-22T05:42:02.726708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.404878
Min length2

Characters and Unicode

Total characters1313
Distinct characters146
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)100.0%

Sample

1st row강릉(강릉)
2nd row강릉(인천)
3rd row강천산(광주)
4th row강천산(대구)
5th row거창(광주)
ValueCountFrequency (%)
강릉(강릉 1
 
0.5%
음성(남이 1
 
0.5%
의성(영덕 1
 
0.5%
의성(청주 1
 
0.5%
이서(순천 1
 
0.5%
이서(천안 1
 
0.5%
이천(남이 1
 
0.5%
이천(하남 1
 
0.5%
입장거봉포도(서울 1
 
0.5%
장유(서부산 1
 
0.5%
Other values (195) 195
95.1%
2024-04-22T05:42:04.122599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 194
 
14.8%
) 194
 
14.8%
70
 
5.3%
68
 
5.2%
40
 
3.0%
35
 
2.7%
34
 
2.6%
31
 
2.4%
24
 
1.8%
22
 
1.7%
Other values (136) 601
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
70.4%
Open Punctuation 194
 
14.8%
Close Punctuation 194
 
14.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
70
 
7.6%
68
 
7.4%
40
 
4.3%
35
 
3.8%
34
 
3.7%
31
 
3.4%
24
 
2.6%
22
 
2.4%
20
 
2.2%
19
 
2.1%
Other values (134) 562
60.8%
Open Punctuation
ValueCountFrequency (%)
( 194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
70.4%
Common 388
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
70
 
7.6%
68
 
7.4%
40
 
4.3%
35
 
3.8%
34
 
3.7%
31
 
3.4%
24
 
2.6%
22
 
2.4%
20
 
2.2%
19
 
2.1%
Other values (134) 562
60.8%
Common
ValueCountFrequency (%)
( 194
50.0%
) 194
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
70.4%
ASCII 388
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 194
50.0%
) 194
50.0%
Hangul
ValueCountFrequency (%)
70
 
7.6%
68
 
7.4%
40
 
4.3%
35
 
3.8%
34
 
3.7%
31
 
3.4%
24
 
2.6%
22
 
2.4%
20
 
2.2%
19
 
2.1%
Other values (134) 562
60.8%

도로종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
고속국도
205 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고속국도
2nd row고속국도
3rd row고속국도
4th row고속국도
5th row고속국도

Common Values

ValueCountFrequency (%)
고속국도 205
100.0%

Length

2024-04-22T05:42:04.346174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:42:04.515025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고속국도 205
100.0%

도로노선번호
Real number (ℝ)

Distinct21
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.058537
Minimum1
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T05:42:04.673210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q112
median27
Q345
95-th percentile93
Maximum600
Range599
Interquartile range (IQR)33

Descriptive statistics

Standard deviation77.092359
Coefficient of variation (CV)1.8329777
Kurtosis27.401446
Mean42.058537
Median Absolute Deviation (MAD)17
Skewness5.0230907
Sum8622
Variance5943.2319
MonotonicityNot monotonic
2024-04-22T05:42:04.876941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 34
16.6%
15 21
10.2%
35 18
8.8%
25 15
 
7.3%
50 14
 
6.8%
55 14
 
6.8%
45 14
 
6.8%
30 12
 
5.9%
10 12
 
5.9%
12 10
 
4.9%
Other values (11) 41
20.0%
ValueCountFrequency (%)
1 34
16.6%
10 12
 
5.9%
12 10
 
4.9%
14 2
 
1.0%
15 21
10.2%
20 6
 
2.9%
25 15
7.3%
27 6
 
2.9%
30 12
 
5.9%
35 18
8.8%
ValueCountFrequency (%)
600 1
 
0.5%
451 4
 
2.0%
251 2
 
1.0%
151 2
 
1.0%
100 2
 
1.0%
65 6
2.9%
60 3
 
1.5%
55 14
6.8%
50 14
6.8%
45 14
6.8%

도로노선명
Categorical

Distinct27
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
경부선
34 
서해안선
21 
호남선
15 
영동선
14 
중앙선
14 
Other values (22)
107 

Length

Max length8
Median length6
Mean length3.9414634
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row영동선
2nd row영동선
3rd row광주대구선
4th row광주대구선
5th row광주대구선

Common Values

ValueCountFrequency (%)
경부선 34
16.6%
서해안선 21
 
10.2%
호남선 15
 
7.3%
영동선 14
 
6.8%
중앙선 14
 
6.8%
중부내륙선 12
 
5.9%
남해선 12
 
5.9%
대전통영선 10
 
4.9%
광주대구선 8
 
3.9%
당진영덕선 8
 
3.9%
Other values (17) 57
27.8%

Length

2024-04-22T05:42:05.098367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경부선 34
16.6%
서해안선 21
 
10.2%
호남선 15
 
7.3%
영동선 14
 
6.8%
중앙선 14
 
6.8%
중부내륙선 12
 
5.9%
남해선 12
 
5.9%
대전통영선 10
 
4.9%
광주대구선 8
 
3.9%
당진영덕선 8
 
3.9%
Other values (17) 57
27.8%
Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
하행
97 
상행
97 
양방향
11 

Length

Max length3
Median length2
Mean length2.0536585
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row하행
2nd row상행
3rd row하행
4th row상행
5th row하행

Common Values

ValueCountFrequency (%)
하행 97
47.3%
상행 97
47.3%
양방향 11
 
5.4%

Length

2024-04-22T05:42:05.305333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:42:05.487209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
하행 97
47.3%
상행 97
47.3%
양방향 11
 
5.4%

위도
Real number (ℝ)

Distinct204
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.286208
Minimum34.720894
Maximum37.916535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T05:42:05.766482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.720894
5-th percentile35.070384
Q135.599975
median36.258352
Q336.995459
95-th percentile37.615134
Maximum37.916535
Range3.195641
Interquartile range (IQR)1.395484

Descriptive statistics

Standard deviation0.81555685
Coefficient of variation (CV)0.022475671
Kurtosis-1.072186
Mean36.286208
Median Absolute Deviation (MAD)0.7110981
Skewness0.11154453
Sum7438.6726
Variance0.66513298
MonotonicityNot monotonic
2024-04-22T05:42:06.023905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.807313 2
 
1.0%
37.758206 1
 
0.5%
35.599975 1
 
0.5%
36.410954 1
 
0.5%
35.803936 1
 
0.5%
35.801932 1
 
0.5%
37.264574 1
 
0.5%
37.293979 1
 
0.5%
36.942997 1
 
0.5%
35.212074 1
 
0.5%
Other values (194) 194
94.6%
ValueCountFrequency (%)
34.720894 1
0.5%
34.807313 2
1.0%
34.9847001 1
0.5%
34.985669 1
0.5%
35.0085501 1
0.5%
35.037283 1
0.5%
35.038198 1
0.5%
35.0518101 1
0.5%
35.056665 1
0.5%
35.069687 1
0.5%
ValueCountFrequency (%)
37.916535 1
0.5%
37.8126801 1
0.5%
37.760275 1
0.5%
37.758898 1
0.5%
37.758206 1
0.5%
37.757369 1
0.5%
37.723012 1
0.5%
37.722214 1
0.5%
37.712386 1
0.5%
37.628023 1
0.5%

경도
Real number (ℝ)

Distinct204
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.74623
Minimum126.47825
Maximum129.28854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T05:42:06.276261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.47825
5-th percentile126.62675
Q1127.17346
median127.59878
Q3128.28762
95-th percentile129.05948
Maximum129.28854
Range2.810296
Interquartile range (IQR)1.114161

Descriptive statistics

Standard deviation0.73673178
Coefficient of variation (CV)0.005767151
Kurtosis-0.8764788
Mean127.74623
Median Absolute Deviation (MAD)0.536672
Skewness0.25849178
Sum26187.976
Variance0.54277372
MonotonicityNot monotonic
2024-04-22T05:42:06.519586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.181003 2
 
1.0%
128.806648 1
 
0.5%
126.864336 1
 
0.5%
128.4447101 1
 
0.5%
127.023705 1
 
0.5%
127.025759 1
 
0.5%
127.403687 1
 
0.5%
127.378203 1
 
0.5%
127.192467 1
 
0.5%
128.7935801 1
 
0.5%
Other values (194) 194
94.6%
ValueCountFrequency (%)
126.478247 1
0.5%
126.482295 1
0.5%
126.508813 1
0.5%
126.511676 1
0.5%
126.555684 1
0.5%
126.558327 1
0.5%
126.565029 1
0.5%
126.566302 1
0.5%
126.579514 1
0.5%
126.5818701 1
0.5%
ValueCountFrequency (%)
129.288543 1
0.5%
129.285277 1
0.5%
129.1929501 1
0.5%
129.141801 1
0.5%
129.130435 1
0.5%
129.128519 1
0.5%
129.1093101 1
0.5%
129.109244 1
0.5%
129.090775 1
0.5%
129.073636 1
0.5%

휴게소종류
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
일반휴게소
177 
화물차휴게소
21 
간이휴게소
 
7

Length

Max length6
Median length5
Mean length5.102439
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반휴게소
2nd row일반휴게소
3rd row일반휴게소
4th row간이휴게소
5th row일반휴게소

Common Values

ValueCountFrequency (%)
일반휴게소 177
86.3%
화물차휴게소 21
 
10.2%
간이휴게소 7
 
3.4%

Length

2024-04-22T05:42:06.759203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T05:42:06.951304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반휴게소 177
86.3%
화물차휴게소 21
 
10.2%
간이휴게소 7
 
3.4%
Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2024-04-22 00:00:00
Maximum2024-04-22 00:00:00
2024-04-22T05:42:07.107609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:42:07.262223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2024-04-22 23:59:00
Maximum2024-04-22 23:59:00
2024-04-22T05:42:07.418275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:42:07.571747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

도로점용면적
Real number (ℝ)

Distinct197
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44207.493
Minimum6014
Maximum202440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T05:42:07.784302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6014
5-th percentile16346.8
Q127840
median40492
Q353532
95-th percentile85597.2
Maximum202440
Range196426
Interquartile range (IQR)25692

Descriptive statistics

Standard deviation25219.279
Coefficient of variation (CV)0.57047522
Kurtosis10.748253
Mean44207.493
Median Absolute Deviation (MAD)12886
Skewness2.3475693
Sum9062536
Variance6.3601203 × 108
MonotonicityNot monotonic
2024-04-22T05:42:08.047803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17409 2
 
1.0%
34013 2
 
1.0%
22467 2
 
1.0%
86844 2
 
1.0%
26097 2
 
1.0%
32652 2
 
1.0%
47509 2
 
1.0%
56462 2
 
1.0%
40011 1
 
0.5%
16237 1
 
0.5%
Other values (187) 187
91.2%
ValueCountFrequency (%)
6014 1
0.5%
6394 1
0.5%
11001 1
0.5%
12365 1
0.5%
13041 1
0.5%
13845 1
0.5%
14071 1
0.5%
15454 1
0.5%
16137 1
0.5%
16237 1
0.5%
ValueCountFrequency (%)
202440 1
0.5%
182761 1
0.5%
114191 1
0.5%
103000 1
0.5%
93523 1
0.5%
89093 1
0.5%
88867 1
0.5%
87552 1
0.5%
86844 2
1.0%
85692 1
0.5%

주차면수
Real number (ℝ)

Distinct152
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.6
Minimum44
Maximum848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-22T05:42:08.309106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile75
Q1131
median177
Q3244
95-th percentile438.6
Maximum848
Range804
Interquartile range (IQR)113

Descriptive statistics

Standard deviation125.63738
Coefficient of variation (CV)0.60811897
Kurtosis6.922604
Mean206.6
Median Absolute Deviation (MAD)55
Skewness2.2935528
Sum42353
Variance15784.751
MonotonicityNot monotonic
2024-04-22T05:42:08.564474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148 4
 
2.0%
141 4
 
2.0%
154 3
 
1.5%
188 3
 
1.5%
91 3
 
1.5%
163 3
 
1.5%
208 3
 
1.5%
149 3
 
1.5%
191 3
 
1.5%
147 3
 
1.5%
Other values (142) 173
84.4%
ValueCountFrequency (%)
44 1
0.5%
67 1
0.5%
70 2
1.0%
72 2
1.0%
73 2
1.0%
74 2
1.0%
75 2
1.0%
80 1
0.5%
84 2
1.0%
90 2
1.0%
ValueCountFrequency (%)
848 1
0.5%
735 1
0.5%
725 1
0.5%
693 1
0.5%
627 1
0.5%
602 1
0.5%
560 1
0.5%
555 1
0.5%
446 1
0.5%
444 1
0.5%

경정비가능여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
False
184 
True
21 
ValueCountFrequency (%)
False 184
89.8%
True 21
 
10.2%
2024-04-22T05:42:08.780193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주유소유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
204 
False
 
1
ValueCountFrequency (%)
True 204
99.5%
False 1
 
0.5%
2024-04-22T05:42:08.943452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
167 
False
38 
ValueCountFrequency (%)
True 167
81.5%
False 38
 
18.5%
2024-04-22T05:42:09.107218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전기차충전소유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
195 
False
 
10
ValueCountFrequency (%)
True 195
95.1%
False 10
 
4.9%
2024-04-22T05:42:09.275800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

버스환승가능여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
False
197 
True
 
8
ValueCountFrequency (%)
False 197
96.1%
True 8
 
3.9%
2024-04-22T05:42:09.434519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
138 
False
67 
ValueCountFrequency (%)
True 138
67.3%
False 67
32.7%
2024-04-22T05:42:09.591929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

화장실유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
205 
ValueCountFrequency (%)
True 205
100.0%
2024-04-22T05:42:09.749533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

약국유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
False
200 
True
 
5
ValueCountFrequency (%)
False 200
97.6%
True 5
 
2.4%
2024-04-22T05:42:09.897826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수유실유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
204 
False
 
1
ValueCountFrequency (%)
True 204
99.5%
False 1
 
0.5%
2024-04-22T05:42:10.057212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

매점유무
Boolean

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
205 
ValueCountFrequency (%)
True 205
100.0%
2024-04-22T05:42:10.218863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

음식점유무
Boolean

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
204 
False
 
1
ValueCountFrequency (%)
True 204
99.5%
False 1
 
0.5%
2024-04-22T05:42:10.643387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기타편의시설
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing205
Missing (%)100.0%
Memory size1.9 KiB
Distinct182
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-22T05:42:11.220098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length8.1707317
Min length2

Characters and Unicode

Total characters1675
Distinct characters247
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique159 ?
Unique (%)77.6%

Sample

1st row뚝배기불고기
2nd row초당몽글순두부,초당두부황태해장국
3rd row순창고추장 돌솥비빔밥+차돌박이 된장찌개
4th row순창고추장 돌솥비빔밥+차돌박이 된장찌개
5th row돼지고기김치찌개
ValueCountFrequency (%)
순두부찌개 5
 
2.1%
된장찌개 3
 
1.3%
새싹삼비빔밥 2
 
0.9%
화덕흑돼지불고기 2
 
0.9%
뚝배기불고기 2
 
0.9%
임실치즈 2
 
0.9%
매콤돈까스+임실치즈 2
 
0.9%
묵은지김치찌개 2
 
0.9%
안동간고등어정식 2
 
0.9%
한방우불고기 2
 
0.9%
Other values (190) 209
89.7%
2024-04-22T05:42:12.054938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
 
4.9%
48
 
2.9%
48
 
2.9%
46
 
2.7%
45
 
2.7%
38
 
2.3%
35
 
2.1%
32
 
1.9%
28
 
1.7%
27
 
1.6%
Other values (237) 1246
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1614
96.4%
Space Separator 28
 
1.7%
Math Symbol 26
 
1.6%
Other Punctuation 5
 
0.3%
Connector Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
82
 
5.1%
48
 
3.0%
48
 
3.0%
46
 
2.9%
45
 
2.8%
38
 
2.4%
35
 
2.2%
32
 
2.0%
27
 
1.7%
27
 
1.7%
Other values (230) 1186
73.5%
Other Punctuation
ValueCountFrequency (%)
. 2
40.0%
2
40.0%
, 1
20.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Math Symbol
ValueCountFrequency (%)
+ 26
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1614
96.4%
Common 61
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
82
 
5.1%
48
 
3.0%
48
 
3.0%
46
 
2.9%
45
 
2.8%
38
 
2.4%
35
 
2.2%
32
 
2.0%
27
 
1.7%
27
 
1.7%
Other values (230) 1186
73.5%
Common
ValueCountFrequency (%)
28
45.9%
+ 26
42.6%
. 2
 
3.3%
2
 
3.3%
_ 1
 
1.6%
1 1
 
1.6%
, 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1614
96.4%
ASCII 59
 
3.5%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
82
 
5.1%
48
 
3.0%
48
 
3.0%
46
 
2.9%
45
 
2.8%
38
 
2.4%
35
 
2.2%
32
 
2.0%
27
 
1.7%
27
 
1.7%
Other values (230) 1186
73.5%
ASCII
ValueCountFrequency (%)
28
47.5%
+ 26
44.1%
. 2
 
3.4%
_ 1
 
1.7%
1 1
 
1.7%
, 1
 
1.7%
None
ValueCountFrequency (%)
2
100.0%
Distinct205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-04-22T05:42:12.938347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.014634
Min length11

Characters and Unicode

Total characters2463
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)100.0%

Sample

1st row033-648-8850
2nd row033-647-9970
3rd row063-653-4033
4th row063-653-3050
5th row055-943-0992
ValueCountFrequency (%)
033-648-8850 1
 
0.5%
043-878-6410 1
 
0.5%
054-862-9252 1
 
0.5%
054-862-9076 1
 
0.5%
063-227-4114 1
 
0.5%
063-236-2592 1
 
0.5%
031-637-0987 1
 
0.5%
031-638-1117 1
 
0.5%
041-588-7868 1
 
0.5%
055-313-2610 1
 
0.5%
Other values (195) 195
95.1%
2024-04-22T05:42:14.045391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 410
16.6%
0 393
16.0%
3 324
13.2%
4 227
9.2%
5 226
9.2%
1 205
8.3%
6 165
6.7%
2 149
 
6.0%
7 137
 
5.6%
8 135
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2053
83.4%
Dash Punctuation 410
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 393
19.1%
3 324
15.8%
4 227
11.1%
5 226
11.0%
1 205
10.0%
6 165
8.0%
2 149
 
7.3%
7 137
 
6.7%
8 135
 
6.6%
9 92
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 410
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2463
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 410
16.6%
0 393
16.0%
3 324
13.2%
4 227
9.2%
5 226
9.2%
1 205
8.3%
6 165
6.7%
2 149
 
6.0%
7 137
 
5.6%
8 135
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 410
16.6%
0 393
16.0%
3 324
13.2%
4 227
9.2%
5 226
9.2%
1 205
8.3%
6 165
6.7%
2 149
 
6.0%
7 137
 
5.6%
8 135
 
5.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-08-24 00:00:00
Maximum2023-08-24 00:00:00
2024-04-22T05:42:14.239719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T05:42:14.393698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

휴게소명도로종류도로노선번호도로노선명도로노선방향위도경도휴게소종류휴게소운영시작시각휴게소운영종료시각도로점용면적주차면수경정비가능여부주유소유무LPG충전소유무전기차충전소유무버스환승가능여부쉼터유무화장실유무약국유무수유실유무매점유무음식점유무기타편의시설휴게소대표음식명휴게소전화번호데이터기준일자
0강릉(강릉)고속국도50영동선하행37.758206128.806648일반휴게소00:0023:5985218244NYYYNYYNYYY<NA>뚝배기불고기033-648-88502023-08-24
1강릉(인천)고속국도50영동선상행37.760275128.80536일반휴게소00:0023:5971026274NYYYNYYNYYY<NA>초당몽글순두부,초당두부황태해장국033-647-99702023-08-24
2강천산(광주)고속국도12광주대구선하행35.36575127.105451일반휴게소00:0023:591776795NYNYNYYNYYY<NA>순창고추장 돌솥비빔밥+차돌박이 된장찌개063-653-40332023-08-24
3강천산(대구)고속국도12광주대구선상행35.364369127.104757간이휴게소00:0023:591236570NYNYNYYNYYY<NA>순창고추장 돌솥비빔밥+차돌박이 된장찌개063-653-30502023-08-24
4거창(광주)고속국도12광주대구선하행35.708862128.057962일반휴게소00:0023:5956462106NYYYNNYNYYY<NA>돼지고기김치찌개055-943-09922023-08-24
5거창(대구)고속국도12광주대구선상행35.706469128.056945일반휴게소00:0023:595646292NYNYNNYNYYY<NA>왕돈가스055-943-95342023-08-24
6건천(부산)고속국도1경부선하행35.830716129.10931간이휴게소00:0023:5913041120NYNYNNYNYYY<NA>누구나돌솥비빔밥054-751-68902023-08-24
7건천(서울)고속국도1경부선상행35.831894129.109244일반휴게소00:0023:592317496NYNYNNYNYYY<NA>건천버섯차돌된장찌개054-751-74012023-08-24
8경산(서울)고속국도1경부선상행35.879323128.810331일반휴게소00:0023:5940171253NYYYNYYNYYY<NA>돼지갈비정식053-852-52432023-08-24
9경주(부산)고속국도1경부선하행35.724761129.19295화물차휴게소00:0023:5972848294NYYYNYYNYYY<NA>경주천년한우국밥054-748-31952023-08-24
휴게소명도로종류도로노선번호도로노선명도로노선방향위도경도휴게소종류휴게소운영시작시각휴게소운영종료시각도로점용면적주차면수경정비가능여부주유소유무LPG충전소유무전기차충전소유무버스환승가능여부쉼터유무화장실유무약국유무수유실유무매점유무음식점유무기타편의시설휴게소대표음식명휴게소전화번호데이터기준일자
195홍천강(춘천)고속국도55중앙선상행37.712386127.827719일반휴게소00:0023:5932652127NYYYNNYNYYY<NA>얼큰황태순두부_주물솥밥033-435-12012023-08-24
196화서(영덕)고속국도30당진영덕선상행36.444053127.922637일반휴게소00:0023:5926097225NYYYNYYNYYY<NA>제육볶음054-531-19822023-08-24
197화성(목포)고속국도15서해안선하행37.143612126.87908일반휴게소00:0023:5934013381NYYYNNYNYYY<NA>화성궁중비빔밥031-353-81402023-08-24
198화성(서울)고속국도15서해안선상행37.143497126.881289일반휴게소00:0023:5947509444NYYYNNYNYYY<NA>순두부청국장031-353-81432023-08-24
199황간(부산)고속국도1경부선하행36.248899127.85267일반휴게소00:0023:5928345119NYYYNNYNYYY<NA>영표국밥&솥밥043-742-58052023-08-24
200황간(서울)고속국도1경부선상행36.249437127.854835일반휴게소00:0023:5932652118NYNYNNYNYYY<NA>영표국밥&솥밥043-742-76332023-08-24
201황전(순천)고속국도27순천완주선하행35.148905127.454145일반휴게소00:0023:5926097154NYYYNYYNYYY<NA>고소한 수제돈가스+남도식국물잡채061-782-11352023-08-24
202황전(완주)고속국도27순천완주선상행35.153306127.454683일반휴게소00:0023:5934013121NYYYNYYNYYY<NA>황전해초꼬막비빔밥+재첩국061-782-11542023-08-24
203횡성(강릉)고속국도50영동선하행37.462755128.133969일반휴게소00:0023:5947509291NYYYYYYNYYY<NA>횡성한우떡더덕스테이크033-342-42312023-08-24
204횡성(인천)고속국도50영동선상행37.464983128.135449일반휴게소00:0023:5937474246NYYYYYYNYYY<NA>횡성더덕설렁탕033-342-42002023-08-24