Overview

Dataset statistics

Number of variables9
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory77.1 B

Variable types

Categorical3
Text2
Numeric3
DateTime1

Dataset

Description사계절 아름다운 풍광과 일출, 노을의 신비스러움을 지닌 청정골 산청의 관광지 정보(관광지 구분, 관광지명, 주소, 담담부서, 연락처, 위도, 경도)를 제공
Author경상남도 산청군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3081022

Alerts

데이터기준일자 has constant value ""Constant
담당자 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
연락처 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
우편번호 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 우편번호High correlation
구분 is highly overall correlated with 담당자 and 1 other fieldsHigh correlation
관광지명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 01:02:21.157431
Analysis finished2023-12-11 01:02:22.442241
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
관광명소 > 산
26 
관광명소 > 계곡/유원지
18 
관광명소 > 매화
6 
관광명소 > 전시/예술
6 
관광명소 > 강
4 
Other values (2)
4 

Length

Max length13
Median length12
Mean length9.96875
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관광명소 > 산
2nd row관광명소 > 산
3rd row관광명소 > 산
4th row관광명소 > 산
5th row관광명소 > 산

Common Values

ValueCountFrequency (%)
관광명소 > 산 26
40.6%
관광명소 > 계곡/유원지 18
28.1%
관광명소 > 매화 6
 
9.4%
관광명소 > 전시/예술 6
 
9.4%
관광명소 > 강 4
 
6.2%
관광명소 > 기타 2
 
3.1%
관광명소 > 박물관 2
 
3.1%

Length

2023-12-11T10:02:22.501918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:02:22.600856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광명소 64
33.3%
64
33.3%
산 26
13.5%
계곡/유원지 18
 
9.4%
매화 6
 
3.1%
전시/예술 6
 
3.1%
강 4
 
2.1%
기타 2
 
1.0%
박물관 2
 
1.0%

관광지명
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T10:02:22.832562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length5.140625
Min length2

Characters and Unicode

Total characters329
Distinct characters119
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row지리산
2nd row웅석봉
3rd row왕산 · 필봉산
4th row둔철산
5th row황매산
ValueCountFrequency (%)
지리산 3
 
3.8%
· 3
 
3.8%
계곡 2
 
2.5%
화장산 1
 
1.3%
계림정 1
 
1.3%
생초국제조각공원 1
 
1.3%
강정유원지 1
 
1.3%
자양보 1
 
1.3%
대포숲 1
 
1.3%
송정숲 1
 
1.3%
Other values (64) 64
81.0%
2023-12-11T10:02:23.183584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 39
 
11.9%
계 16
 
4.9%
15
 
4.6%
곡 14
 
4.3%
봉 9
 
2.7%
리 9
 
2.7%
사 8
 
2.4%
정 7
 
2.1%
매 7
 
2.1%
천 6
 
1.8%
Other values (109) 199
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
92.7%
Space Separator 15
 
4.6%
Other Punctuation 5
 
1.5%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 39
 
12.8%
계 16
 
5.2%
곡 14
 
4.6%
봉 9
 
3.0%
리 9
 
3.0%
사 8
 
2.6%
정 7
 
2.3%
매 7
 
2.3%
천 6
 
2.0%
지 6
 
2.0%
Other values (105) 184
60.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
· 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 305
92.7%
Common 24
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 39
 
12.8%
계 16
 
5.2%
곡 14
 
4.6%
봉 9
 
3.0%
리 9
 
3.0%
사 8
 
2.6%
정 7
 
2.3%
매 7
 
2.3%
천 6
 
2.0%
지 6
 
2.0%
Other values (105) 184
60.3%
Common
ValueCountFrequency (%)
15
62.5%
· 5
 
20.8%
) 2
 
8.3%
( 2
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
92.7%
ASCII 19
 
5.8%
None 5
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 39
 
12.8%
계 16
 
5.2%
곡 14
 
4.6%
봉 9
 
3.0%
리 9
 
3.0%
사 8
 
2.6%
정 7
 
2.3%
매 7
 
2.3%
천 6
 
2.0%
지 6
 
2.0%
Other values (105) 184
60.3%
ASCII
ValueCountFrequency (%)
15
78.9%
) 2
 
10.5%
( 2
 
10.5%
None
ValueCountFrequency (%)
· 5
100.0%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct34
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52232.156
Minimum52200
Maximum52261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-11T10:02:23.312902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52200
5-th percentile52203
Q152226.5
median52235.5
Q352244.25
95-th percentile52255.7
Maximum52261
Range61
Interquartile range (IQR)17.75

Descriptive statistics

Standard deviation17.53565
Coefficient of variation (CV)0.00033572517
Kurtosis-0.75202717
Mean52232.156
Median Absolute Deviation (MAD)9
Skewness-0.5064264
Sum3342858
Variance307.49901
MonotonicityNot monotonic
2023-12-11T10:02:23.658482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
52236 5
 
7.8%
52203 5
 
7.8%
52252 4
 
6.2%
52234 3
 
4.7%
52232 3
 
4.7%
52241 3
 
4.7%
52245 3
 
4.7%
52256 2
 
3.1%
52261 2
 
3.1%
52233 2
 
3.1%
Other values (24) 32
50.0%
ValueCountFrequency (%)
52200 1
 
1.6%
52201 2
 
3.1%
52203 5
7.8%
52204 1
 
1.6%
52205 2
 
3.1%
52207 1
 
1.6%
52209 1
 
1.6%
52210 1
 
1.6%
52213 1
 
1.6%
52225 1
 
1.6%
ValueCountFrequency (%)
52261 2
3.1%
52256 2
3.1%
52254 2
3.1%
52253 1
 
1.6%
52252 4
6.2%
52250 1
 
1.6%
52249 1
 
1.6%
52245 3
4.7%
52244 1
 
1.6%
52243 1
 
1.6%

주소
Text

Distinct52
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-11T10:02:23.859146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length16
Mean length17.21875
Min length12

Characters and Unicode

Total characters1102
Distinct characters94
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)65.6%

Sample

1st row경상남도 산청군 시천면
2nd row경상남도 산청군 삼장면 홍계리
3rd row경상남도 산청군 금서면 화계리
4th row경상남도 산청군 산청읍 척지리
5th row경상남도 산청군 차황면 법평리
ValueCountFrequency (%)
경상남도 64
24.0%
산청군 64
24.0%
단성면 14
 
5.2%
시천면 13
 
4.9%
생초면 7
 
2.6%
삼장면 7
 
2.6%
금서면 5
 
1.9%
산청읍 4
 
1.5%
오부면 4
 
1.5%
백운리 3
 
1.1%
Other values (63) 82
30.7%
2023-12-11T10:02:24.183002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
203
18.4%
산 77
 
7.0%
청 69
 
6.3%
남 68
 
6.2%
도 65
 
5.9%
상 65
 
5.9%
경 64
 
5.8%
군 64
 
5.8%
면 60
 
5.4%
리 51
 
4.6%
Other values (84) 316
28.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 839
76.1%
Space Separator 203
 
18.4%
Decimal Number 57
 
5.2%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 77
 
9.2%
청 69
 
8.2%
남 68
 
8.1%
도 65
 
7.7%
상 65
 
7.7%
경 64
 
7.6%
군 64
 
7.6%
면 60
 
7.2%
리 51
 
6.1%
천 16
 
1.9%
Other values (72) 240
28.6%
Decimal Number
ValueCountFrequency (%)
1 11
19.3%
5 10
17.5%
6 8
14.0%
8 6
10.5%
4 6
10.5%
0 5
8.8%
2 4
 
7.0%
3 3
 
5.3%
7 2
 
3.5%
9 2
 
3.5%
Space Separator
ValueCountFrequency (%)
203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 839
76.1%
Common 263
 
23.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 77
 
9.2%
청 69
 
8.2%
남 68
 
8.1%
도 65
 
7.7%
상 65
 
7.7%
경 64
 
7.6%
군 64
 
7.6%
면 60
 
7.2%
리 51
 
6.1%
천 16
 
1.9%
Other values (72) 240
28.6%
Common
ValueCountFrequency (%)
203
77.2%
1 11
 
4.2%
5 10
 
3.8%
6 8
 
3.0%
8 6
 
2.3%
4 6
 
2.3%
0 5
 
1.9%
2 4
 
1.5%
- 3
 
1.1%
3 3
 
1.1%
Other values (2) 4
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 839
76.1%
ASCII 263
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
203
77.2%
1 11
 
4.2%
5 10
 
3.8%
6 8
 
3.0%
8 6
 
2.3%
4 6
 
2.3%
0 5
 
1.9%
2 4
 
1.5%
- 3
 
1.1%
3 3
 
1.1%
Other values (2) 4
 
1.5%
Hangul
ValueCountFrequency (%)
산 77
 
9.2%
청 69
 
8.2%
남 68
 
8.1%
도 65
 
7.7%
상 65
 
7.7%
경 64
 
7.6%
군 64
 
7.6%
면 60
 
7.2%
리 51
 
6.1%
천 16
 
1.9%
Other values (72) 240
28.6%

담당자
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
산림보호담당
30 
관광행정담당
18 
문화재담당
9 
문화예술담당
 
3
한방항노화담당
 
2
Other values (2)
 
2

Length

Max length7
Median length6
Mean length5.90625
Min length5

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
산림보호담당 30
46.9%
관광행정담당 18
28.1%
문화재담당 9
 
14.1%
문화예술담당 3
 
4.7%
한방항노화담당 2
 
3.1%
관광시설담당 1
 
1.6%
산청양수발전소 1
 
1.6%

Length

2023-12-11T10:02:24.311944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:02:24.422811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산림보호담당 30
46.9%
관광행정담당 18
28.1%
문화재담당 9
 
14.1%
문화예술담당 3
 
4.7%
한방항노화담당 2
 
3.1%
관광시설담당 1
 
1.6%
산청양수발전소 1
 
1.6%

연락처
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
055-970-6911
30 
055-970-7201
18 
055-970-6411
9 
055-970-6401
 
3
055 970-6601
 
2
Other values (2)
 
2

Length

Max length13
Median length12
Mean length12.015625
Min length12

Unique

Unique2 ?
Unique (%)3.1%

Sample

1st row055-970-6911
2nd row055-970-6911
3rd row055-970-6911
4th row055-970-6911
5th row055-970-6911

Common Values

ValueCountFrequency (%)
055-970-6911 30
46.9%
055-970-7201 18
28.1%
055-970-6411 9
 
14.1%
055-970-6401 3
 
4.7%
055 970-6601 2
 
3.1%
055-970-7222 1
 
1.6%
070-4831-2141 1
 
1.6%

Length

2023-12-11T10:02:24.533310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:02:24.642262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-970-6911 30
45.5%
055-970-7201 18
27.3%
055-970-6411 9
 
13.6%
055-970-6401 3
 
4.5%
055 2
 
3.0%
970-6601 2
 
3.0%
055-970-7222 1
 
1.5%
070-4831-2141 1
 
1.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct51
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.362477
Minimum35.23298
Maximum35.55629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-11T10:02:24.759623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.23298
5-th percentile35.26081
Q135.28749
median35.33826
Q335.44226
95-th percentile35.49464
Maximum35.55629
Range0.32331
Interquartile range (IQR)0.15477

Descriptive statistics

Standard deviation0.086272582
Coefficient of variation (CV)0.0024396645
Kurtosis-1.0425312
Mean35.362477
Median Absolute Deviation (MAD)0.060905
Skewness0.46851832
Sum2263.1986
Variance0.0074429583
MonotonicityNot monotonic
2023-12-11T10:02:24.877053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.28638 3
 
4.7%
35.49145 3
 
4.7%
35.27841 2
 
3.1%
35.2641 2
 
3.1%
35.36097 2
 
3.1%
35.36253 2
 
3.1%
35.49464 2
 
3.1%
35.29107 2
 
3.1%
35.32338 2
 
3.1%
35.30571 2
 
3.1%
Other values (41) 42
65.6%
ValueCountFrequency (%)
35.23298 1
1.6%
35.23356 1
1.6%
35.25654 1
1.6%
35.26023 1
1.6%
35.2641 2
3.1%
35.27073 1
1.6%
35.27472 1
1.6%
35.27527 1
1.6%
35.2763 1
1.6%
35.27841 2
3.1%
ValueCountFrequency (%)
35.55629 1
 
1.6%
35.52232 1
 
1.6%
35.51393 1
 
1.6%
35.49464 2
3.1%
35.49145 3
4.7%
35.48328 1
 
1.6%
35.48251 1
 
1.6%
35.4767 1
 
1.6%
35.46439 1
 
1.6%
35.45011 1
 
1.6%

경도
Real number (ℝ)

Distinct50
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.87269
Minimum127.72433
Maximum128.04517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-11T10:02:24.988746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.72433
5-th percentile127.75642
Q1127.83122
median127.8653
Q3127.92777
95-th percentile127.982
Maximum128.04517
Range0.32084
Interquartile range (IQR)0.0965475

Descriptive statistics

Standard deviation0.072341014
Coefficient of variation (CV)0.00056572686
Kurtosis-0.31261529
Mean127.87269
Median Absolute Deviation (MAD)0.043895
Skewness0.18716057
Sum8183.8521
Variance0.0052332223
MonotonicityNot monotonic
2023-12-11T10:02:25.096752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.83122 4
 
6.2%
127.8797 3
 
4.7%
127.8406 2
 
3.1%
127.93377 2
 
3.1%
127.84743 2
 
3.1%
127.96293 2
 
3.1%
127.83229 2
 
3.1%
127.85587 2
 
3.1%
127.88876 2
 
3.1%
127.74464 2
 
3.1%
Other values (40) 41
64.1%
ValueCountFrequency (%)
127.72433 1
1.6%
127.74464 2
3.1%
127.754256 1
1.6%
127.76867 1
1.6%
127.77168 1
1.6%
127.77241 1
1.6%
127.77907 1
1.6%
127.77974 1
1.6%
127.79865 1
1.6%
127.81047 1
1.6%
ValueCountFrequency (%)
128.04517 1
1.6%
128.04487 1
1.6%
127.98382 1
1.6%
127.98343 1
1.6%
127.97387 1
1.6%
127.96815 1
1.6%
127.96719 1
1.6%
127.96293 2
3.1%
127.9615 1
1.6%
127.94325 1
1.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2020-09-10 00:00:00
Maximum2020-09-10 00:00:00
2023-12-11T10:02:25.183515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:25.255643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T10:02:22.031901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:21.517314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:21.780202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:22.103676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:21.594287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:21.871544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:22.192278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:21.685324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:21.960115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T10:02:25.314186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분관광지명우편번호주소담당자연락처위도경도
구분1.0001.0000.0000.0000.9470.9470.0000.078
관광지명1.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.0001.0001.0001.0000.2860.2860.8710.693
주소0.0001.0001.0001.0000.9290.9291.0001.000
담당자0.9471.0000.2860.9291.0001.0000.2520.181
연락처0.9471.0000.2860.9291.0001.0000.2520.181
위도0.0001.0000.8711.0000.2520.2521.0000.567
경도0.0781.0000.6931.0000.1810.1810.5671.000
2023-12-11T10:02:25.406670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분담당자연락처
구분1.0000.6480.648
담당자0.6481.0001.000
연락처0.6481.0001.000
2023-12-11T10:02:25.479682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도구분담당자연락처
우편번호1.000-0.6620.4240.0000.1490.149
위도-0.6621.0000.0760.0000.1160.116
경도0.4240.0761.0000.0000.0750.075
구분0.0000.0000.0001.0000.6480.648
담당자0.1490.1160.0750.6481.0001.000
연락처0.1490.1160.0750.6481.0001.000

Missing values

2023-12-11T10:02:22.293251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:02:22.401216image/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

구분관광지명우편번호주소담당자연락처위도경도데이터기준일자
0관광명소 > 산지리산52236경상남도 산청군 시천면산림보호담당055-970-691135.27841127.84062020-09-10
1관광명소 > 산웅석봉52232경상남도 산청군 삼장면 홍계리산림보호담당055-970-691135.36097127.847432020-09-10
2관광명소 > 산왕산 · 필봉산52228경상남도 산청군 금서면 화계리산림보호담당055-970-691135.45011127.798652020-09-10
3관광명소 > 산둔철산52213경상남도 산청군 산청읍 척지리산림보호담당055-970-691135.40719127.940592020-09-10
4관광명소 > 산황매산52207경상남도 산청군 차황면 법평리산림보호담당055-970-691135.48251127.96152020-09-10
5관광명소 > 산대성산52253경상남도 산청군 신등면 모례리산림보호담당055-970-691135.39559127.967192020-09-10
6관광명소 > 산부암산52254경상남도 산청군 신등면 장천리산림보호담당055-970-691135.43231127.983432020-09-10
7관광명소 > 산구곡산52239경상남도 산청군 시천면 원리산림보호담당055-970-691135.27073127.816322020-09-10
8관광명소 > 산바랑산·소룡산52201경상남도 산청군 오부면 왕촌리산림보호담당055-970-691135.52232127.892012020-09-10
9관광명소 > 산꽃봉산·회계산52225경상남도 산청군 산청읍 옥산리산림보호담당055-970-691135.41154127.871332020-09-10
구분관광지명우편번호주소담당자연락처위도경도데이터기준일자
54관광명소 > 매화남사리정씨매52252경상남도 산청군 단성면 남사리문화재담당055-970-641135.2641127.933772020-09-10
55관광명소 > 기타성철대종사생가(겁외사)52250경상남도 산청군 단성면 성철로 125문화재담당055-970-641135.27946127.968152020-09-10
56관광명소 > 박물관산청 한의학 박물관52229경상남도 산청군 금서면 동의보감로555번길 61한방항노화담당055 970-660135.44226127.828792020-09-10
57관광명소 > 전시/예술동의보감촌52229경상남도 산청군 금서면 동의보감로555번길 45-6한방항노화담당055 970-660135.44226127.828792020-09-10
58관광명소 > 박물관산청박물관52203경상남도 산청군 생초면 산수로 1064문화재담당055-970-641135.49145127.831222020-09-10
59관광명소 > 전시/예술지리산빨치산토벌전시관52236경상남도 산청군 시천면 지리산대로 536관광시설담당055-970-722235.291376127.7542562020-09-10
60관광명소 > 전시/예술산청양수발전소홍보관52237경상남도 산청군 시천면 지리산대로1088번길 20-18산청양수발전소070-4831-214135.25654127.779742020-09-10
61관광명소 > 전시/예술남명기념관52234경상남도 산청군 시천면 남명로 311문화재담당055-970-641135.27527127.850422020-09-10
62관광명소 > 전시/예술산청군목조각장전수관52203경상남도 산청군 생초면 산수로 1064문화예술담당055-970-640135.49145127.831222020-09-10
63관광명소 > 전시/예술기산 박헌봉선생 생가(기산국악당)52252경상남도 산청군 단성면 상동길 69문화예술담당055-970-640135.2763127.93282020-09-10