Overview

Dataset statistics

Number of variables8
Number of observations205
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.9 KiB
Average record size in memory69.6 B

Variable types

Numeric5
Text2
Categorical1

Dataset

Description고속도로 휴게소 기준정보 현황
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2643

Alerts

휴게소명 is highly overall correlated with Y좌표값 and 1 other fieldsHigh correlation
Y좌표값 is highly overall correlated with 휴게소명High correlation
휴게소코드 is highly overall correlated with 노선코드High correlation
노선코드 is highly overall correlated with 휴게소명 and 1 other fieldsHigh correlation
휴게소명 has unique valuesUnique
노선명 has unique valuesUnique
X좌표값 has unique valuesUnique
Y좌표값 has unique valuesUnique
휴게소/주유소코드 has unique valuesUnique
영업부대시설코드 has unique valuesUnique

Reproduction

Analysis started2024-03-13 11:46:40.707423
Analysis finished2024-03-13 11:46:44.501429
Duration3.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

휴게소명
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.43415
Minimum1
Maximum510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-13T20:46:44.589548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.6
Q1117
median229
Q3344
95-th percentile413.8
Maximum510
Range509
Interquartile range (IQR)227

Descriptive statistics

Standard deviation135.43862
Coefficient of variation (CV)0.59031587
Kurtosis-1.0534172
Mean229.43415
Median Absolute Deviation (MAD)114
Skewness0.04977194
Sum47034
Variance18343.619
MonotonicityNot monotonic
2024-03-13T20:46:44.756413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
273 1
 
0.5%
292 1
 
0.5%
177 1
 
0.5%
179 1
 
0.5%
173 1
 
0.5%
174 1
 
0.5%
169 1
 
0.5%
170 1
 
0.5%
295 1
 
0.5%
Other values (195) 195
95.1%
ValueCountFrequency (%)
1 1
0.5%
3 1
0.5%
5 1
0.5%
7 1
0.5%
9 1
0.5%
11 1
0.5%
13 1
0.5%
15 1
0.5%
17 1
0.5%
19 1
0.5%
ValueCountFrequency (%)
510 1
0.5%
509 1
0.5%
504 1
0.5%
503 1
0.5%
500 1
0.5%
499 1
0.5%
496 1
0.5%
495 1
0.5%
420 1
0.5%
419 1
0.5%

노선명
Text

UNIQUE 

Distinct205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-13T20:46:45.047386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length9.3609756
Min length5

Characters and Unicode

Total characters1919
Distinct characters151
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 row서울만남(부산)휴게소
2nd row죽전(서울)휴게소
3rd row기흥(부산)휴게소
4th row안성(서울)휴게소
5th row안성(부산)휴게소
ValueCountFrequency (%)
서울만남(부산)휴게소 1
 
0.5%
강릉(인천)휴게소 1
 
0.5%
덕평휴게소 1
 
0.5%
영산(창원)휴게소 1
 
0.5%
칠서(양평)휴게소 1
 
0.5%
선산(양평)휴게소 1
 
0.5%
선산(창원)휴게소 1
 
0.5%
충주(양평)휴게소 1
 
0.5%
충주(창원)휴게소 1
 
0.5%
괴산(양평)휴게소 1
 
0.5%
Other values (195) 195
95.1%
2024-03-13T20:46:45.501585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 200
 
10.4%
게 200
 
10.4%
소 200
 
10.4%
( 196
 
10.2%
) 196
 
10.2%
천 72
 
3.8%
산 63
 
3.3%
서 42
 
2.2%
부 36
 
1.9%
주 36
 
1.9%
Other values (141) 678
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1527
79.6%
Open Punctuation 196
 
10.2%
Close Punctuation 196
 
10.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 200
 
13.1%
게 200
 
13.1%
소 200
 
13.1%
천 72
 
4.7%
산 63
 
4.1%
서 42
 
2.8%
부 36
 
2.4%
주 36
 
2.4%
울 28
 
1.8%
양 24
 
1.6%
Other values (139) 626
41.0%
Open Punctuation
ValueCountFrequency (%)
( 196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 196
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1527
79.6%
Common 392
 
20.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 200
 
13.1%
게 200
 
13.1%
소 200
 
13.1%
천 72
 
4.7%
산 63
 
4.1%
서 42
 
2.8%
부 36
 
2.4%
주 36
 
2.4%
울 28
 
1.8%
양 24
 
1.6%
Other values (139) 626
41.0%
Common
ValueCountFrequency (%)
( 196
50.0%
) 196
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1527
79.6%
ASCII 392
 
20.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 200
 
13.1%
게 200
 
13.1%
소 200
 
13.1%
천 72
 
4.7%
산 63
 
4.1%
서 42
 
2.8%
부 36
 
2.4%
주 36
 
2.4%
울 28
 
1.8%
양 24
 
1.6%
Other values (139) 626
41.0%
ASCII
ValueCountFrequency (%)
( 196
50.0%
) 196
50.0%

X좌표값
Real number (ℝ)

UNIQUE 

Distinct205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.69684
Minimum126.47871
Maximum129.19334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-13T20:46:45.750953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.47871
5-th percentile126.58026
Q1127.14501
median127.58961
Q3128.26027
95-th percentile129.00992
Maximum129.19334
Range2.714623
Interquartile range (IQR)1.115265

Descriptive statistics

Standard deviation0.71931666
Coefficient of variation (CV)0.0056330028
Kurtosis-0.91641047
Mean127.69684
Median Absolute Deviation (MAD)0.562536
Skewness0.22338828
Sum26177.852
Variance0.51741645
MonotonicityNot monotonic
2024-03-13T20:46:45.926477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.042514 1
 
0.5%
128.150279 1
 
0.5%
127.389428 1
 
0.5%
128.496112 1
 
0.5%
128.496632 1
 
0.5%
128.248999 1
 
0.5%
128.250736 1
 
0.5%
127.838927 1
 
0.5%
127.837551 1
 
0.5%
127.959679 1
 
0.5%
Other values (195) 195
95.1%
ValueCountFrequency (%)
126.478715 1
0.5%
126.481798 1
0.5%
126.508996 1
0.5%
126.509641 1
0.5%
126.511596 1
0.5%
126.556196 1
0.5%
126.557651 1
0.5%
126.565625 1
0.5%
126.565867 1
0.5%
126.57778 1
0.5%
ValueCountFrequency (%)
129.193338 1
0.5%
129.141545 1
0.5%
129.138917 1
0.5%
129.10946 1
0.5%
129.109287 1
0.5%
129.091545 1
0.5%
129.074237 1
0.5%
129.059527 1
0.5%
129.056383 1
0.5%
129.01376 1
0.5%

Y좌표값
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.21951
Minimum1
Maximum262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-13T20:46:46.088833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.2
Q163
median124
Q3186
95-th percentile232.8
Maximum262
Range261
Interquartile range (IQR)123

Descriptive statistics

Standard deviation72.192998
Coefficient of variation (CV)0.57653154
Kurtosis-1.1028486
Mean125.21951
Median Absolute Deviation (MAD)62
Skewness0.0075807859
Sum25670
Variance5211.829
MonotonicityNot monotonic
2024-03-13T20:46:46.272532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
147 1
 
0.5%
154 1
 
0.5%
16 1
 
0.5%
94 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
144 1
 
0.5%
Other values (195) 195
95.1%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
262 1
0.5%
261 1
0.5%
260 1
0.5%
259 1
0.5%
256 1
0.5%
255 1
0.5%
254 1
0.5%
253 1
0.5%
240 1
0.5%
239 1
0.5%

휴게소/주유소코드
Text

UNIQUE 

Distinct205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-13T20:46:46.723184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters1230
Distinct characters11
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

Unique205 ?
Unique (%)100.0%

Sample

1st rowA00001
2nd rowA00002
3rd rowA00003
4th rowA00004
5th rowA00005
ValueCountFrequency (%)
a00001 1
 
0.5%
a00110 1
 
0.5%
a00154 1
 
0.5%
a00016 1
 
0.5%
a00094 1
 
0.5%
a00120 1
 
0.5%
a00121 1
 
0.5%
a00127 1
 
0.5%
a00128 1
 
0.5%
a00144 1
 
0.5%
Other values (195) 195
95.1%
2024-03-13T20:46:47.256165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 539
43.8%
A 205
 
16.7%
1 135
 
11.0%
2 83
 
6.7%
3 43
 
3.5%
5 42
 
3.4%
4 38
 
3.1%
8 38
 
3.1%
9 37
 
3.0%
6 36
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1025
83.3%
Uppercase Letter 205
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 539
52.6%
1 135
 
13.2%
2 83
 
8.1%
3 43
 
4.2%
5 42
 
4.1%
4 38
 
3.7%
8 38
 
3.7%
9 37
 
3.6%
6 36
 
3.5%
7 34
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
A 205
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1025
83.3%
Latin 205
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 539
52.6%
1 135
 
13.2%
2 83
 
8.1%
3 43
 
4.2%
5 42
 
4.1%
4 38
 
3.7%
8 38
 
3.7%
9 37
 
3.6%
6 36
 
3.5%
7 34
 
3.3%
Latin
ValueCountFrequency (%)
A 205
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 539
43.8%
A 205
 
16.7%
1 135
 
11.0%
2 83
 
6.7%
3 43
 
3.5%
5 42
 
3.4%
4 38
 
3.1%
8 38
 
3.1%
9 37
 
3.0%
6 36
 
2.9%

영업부대시설코드
Real number (ℝ)

UNIQUE 

Distinct205
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.371322
Minimum34.807645
Maximum37.953022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-13T20:46:47.452247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.807645
5-th percentile35.073804
Q135.702309
median36.398395
Q337.022352
95-th percentile37.695709
Maximum37.953022
Range3.145377
Interquartile range (IQR)1.320043

Descriptive statistics

Standard deviation0.81661873
Coefficient of variation (CV)0.02245227
Kurtosis-1.0262176
Mean36.371322
Median Absolute Deviation (MAD)0.674463
Skewness-0.022819766
Sum7456.121
Variance0.66686614
MonotonicityNot monotonic
2024-03-13T20:46:47.628316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.459939 1
 
0.5%
36.620863 1
 
0.5%
37.24133 1
 
0.5%
35.429578 1
 
0.5%
35.370958 1
 
0.5%
36.277695 1
 
0.5%
36.274604 1
 
0.5%
37.022917 1
 
0.5%
37.022352 1
 
0.5%
36.831792 1
 
0.5%
Other values (195) 195
95.1%
ValueCountFrequency (%)
34.807645 1
0.5%
34.813993 1
0.5%
34.984832 1
0.5%
34.985026 1
0.5%
35.009125 1
0.5%
35.037563 1
0.5%
35.037959 1
0.5%
35.052082 1
0.5%
35.056324 1
0.5%
35.069441 1
0.5%
ValueCountFrequency (%)
37.953022 1
0.5%
37.93617 1
0.5%
37.916366 1
0.5%
37.812493 1
0.5%
37.75933 1
0.5%
37.758662 1
0.5%
37.757987 1
0.5%
37.757633 1
0.5%
37.72273 1
0.5%
37.72247 1
0.5%

휴게소코드
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean374.14146
Minimum10
Maximum4510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-13T20:46:47.810037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q1120
median300
Q3450
95-th percentile930
Maximum4510
Range4500
Interquartile range (IQR)330

Descriptive statistics

Standard deviation536.53189
Coefficient of variation (CV)1.4340348
Kurtosis35.626582
Mean374.14146
Median Absolute Deviation (MAD)179
Skewness5.3028266
Sum76699
Variance287866.47
MonotonicityNot monotonic
2024-03-13T20:46:47.973748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10 37
18.0%
150 22
10.7%
300 20
9.8%
550 18
8.8%
450 16
7.8%
500 13
 
6.3%
251 13
 
6.3%
100 12
 
5.9%
351 8
 
3.9%
352 8
 
3.9%
Other values (10) 38
18.5%
ValueCountFrequency (%)
10 37
18.0%
100 12
 
5.9%
120 3
 
1.5%
121 2
 
1.0%
150 22
10.7%
251 13
 
6.3%
270 8
 
3.9%
300 20
9.8%
351 8
 
3.9%
352 8
 
3.9%
ValueCountFrequency (%)
4510 2
 
1.0%
2510 2
 
1.0%
1510 4
 
2.0%
1000 3
 
1.5%
650 6
 
2.9%
600 2
 
1.0%
550 18
8.8%
500 13
6.3%
450 16
7.8%
400 6
 
2.9%

노선코드
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
경부선
37 
서해안선
22 
청주영덕선
20 
중앙선
18 
중부내륙선
16 
Other values (15)
92 

Length

Max length10
Median length8
Mean length4.5073171
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경부선 37
18.0%
서해안선 22
10.7%
청주영덕선 20
9.8%
중앙선 18
8.8%
중부내륙선 16
7.8%
영동선 13
 
6.3%
호남선 13
 
6.3%
남해선(순천-부산) 12
 
5.9%
중부선 8
 
3.9%
순천완주선 8
 
3.9%
Other values (10) 38
18.5%

Length

2024-03-13T20:46:48.169047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경부선 37
18.0%
서해안선 22
10.7%
청주영덕선 20
9.8%
중앙선 18
8.8%
중부내륙선 16
7.8%
영동선 13
 
6.3%
호남선 13
 
6.3%
남해선(순천-부산 12
 
5.9%
순천완주선 8
 
3.9%
통영대전선 8
 
3.9%
Other values (10) 38
18.5%

Interactions

2024-03-13T20:46:43.686807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:41.107538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:41.629277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:42.064126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:42.922443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:43.782981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:41.212090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:41.709606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:42.158010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:43.037379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:43.891664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:41.328369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:41.791052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:42.268120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:43.162294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:43.984609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:41.438108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:41.873959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:42.346730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:43.383785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:44.094986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:41.552159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:41.981506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:42.768984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:46:43.547695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:46:48.295491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴게소명X좌표값Y좌표값영업부대시설코드휴게소코드노선코드
휴게소명1.0000.7010.9390.5510.5240.941
X좌표값0.7011.0000.6300.6150.4970.871
Y좌표값0.9390.6301.0000.6630.3920.831
영업부대시설코드0.5510.6150.6631.0000.5390.845
휴게소코드0.5240.4970.3920.5391.0001.000
노선코드0.9410.8710.8310.8451.0001.000
2024-03-13T20:46:48.413637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴게소명X좌표값Y좌표값영업부대시설코드휴게소코드노선코드
휴게소명1.0000.0280.8450.0990.4410.610
X좌표값0.0281.0000.0190.0520.2300.468
Y좌표값0.8450.0191.000-0.0970.1370.413
영업부대시설코드0.0990.052-0.0971.0000.4280.431
휴게소코드0.4410.2300.1370.4281.0000.964
노선코드0.6100.4680.4130.4310.9641.000

Missing values

2024-03-13T20:46:44.251872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:46:44.448103image/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

휴게소명노선명X좌표값Y좌표값휴게소/주유소코드영업부대시설코드휴게소코드노선코드
01서울만남(부산)휴게소127.0425141A0000137.45993910경부선
13죽전(서울)휴게소127.1043972A0000237.33258310경부선
25기흥(부산)휴게소127.105193A0000337.2350910경부선
37안성(서울)휴게소127.13184A0000437.07644310경부선
49안성(부산)휴게소127.1450065A0000537.01362810경부선
513망향(부산)휴게소127.18120830A0003036.85489210경부선
621옥산(부산)휴게소127.37069632A0003236.65698810경부선
715천안삼거리(서울)휴게소127.17310433A0003336.78774510경부선
817천안호두(부산)휴게소127.26407734A0003436.73057510경부선
924죽암(서울)휴게소127.43042935A0003536.49675610경부선
휴게소명노선명X좌표값Y좌표값휴게소/주유소코드영업부대시설코드휴게소코드노선코드
195130곡성(천안)휴게소127.15250956A0005635.259215251호남선
196126백양사(천안)휴게소126.80702560A0006035.393059251호남선
197127백양사(순천)휴게소126.8057461A0006135.394365251호남선
198135주암(천안)휴게소127.2655362A0006235.076802251호남선
199131곡성(순천)휴게소127.15088263A0006335.258559251호남선
200138순천(순천)휴게소127.44419964A0006435.009125251호남선
201358이서(천안)휴게소127.025328190A0019035.801984251호남선
202355이서(순천)휴게소127.024278191A0019135.804013251호남선
203238벌곡(대전)휴게소127.27025442A0004236.210532510호남지선
204240벌곡(논산)휴게소127.27401743A0004336.2177852510호남지선