Overview

Dataset statistics

Number of variables10
Number of observations64
Missing cells64
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory85.1 B

Variable types

Categorical3
Text3
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
소재지도로명주소 has 52 (81.2%) missing valuesMissing
소재지지번주소 has 12 (18.8%) missing valuesMissing
관광지명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 01:02:13.416738
Analysis finished2023-12-11 01:02:15.036764
Duration1.62 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 > 강
2nd row관광명소 > 강
3rd row관광명소 > 강
4th row관광명소 > 강
5th row관광명소 > 계곡/유원지

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

2023-12-11T10:02:15.105056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:02:15.221959image/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
2023-12-11T10:02:15.525206image/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 row경호강
2nd row덕천강
3rd row양천강
4th row지리산 양단수
5th row내원사계곡
ValueCountFrequency (%)
· 3
 
3.8%
지리산 3
 
3.8%
계곡 2
 
2.5%
구곡산 1
 
1.3%
구인산 1
 
1.3%
집현산 1
 
1.3%
석대산 1
 
1.3%
정수산 1
 
1.3%
돌담산 1
 
1.3%
꽃봉산·회계산 1
 
1.3%
Other values (64) 64
81.0%
2023-12-11T10:02:16.031191image/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%
리 9
 
2.7%
봉 9
 
2.7%
사 8
 
2.4%
매 7
 
2.1%
정 7
 
2.1%
관 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%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 39
 
12.8%
계 16
 
5.2%
곡 14
 
4.6%
리 9
 
3.0%
봉 9
 
3.0%
사 8
 
2.6%
매 7
 
2.3%
정 7
 
2.3%
관 6
 
2.0%
천 6
 
2.0%
Other values (105) 184
60.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
· 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close 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%
리 9
 
3.0%
봉 9
 
3.0%
사 8
 
2.6%
매 7
 
2.3%
정 7
 
2.3%
관 6
 
2.0%
천 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%
리 9
 
3.0%
봉 9
 
3.0%
사 8
 
2.6%
매 7
 
2.3%
정 7
 
2.3%
관 6
 
2.0%
천 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
2023-12-11T10:02:16.157000image/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
2023-12-11T10:02:16.295949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
52203 5
 
7.8%
52236 5
 
7.8%
52252 4
 
6.2%
52232 3
 
4.7%
52245 3
 
4.7%
52234 3
 
4.7%
52241 3
 
4.7%
52261 2
 
3.1%
52233 2
 
3.1%
52229 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%

소재지도로명주소
Text

MISSING 

Distinct10
Distinct (%)83.3%
Missing52
Missing (%)81.2%
Memory size644.0 B
2023-12-11T10:02:16.463435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length22.333333
Min length19

Characters and Unicode

Total characters268
Distinct characters49
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

Unique9 ?
Unique (%)75.0%

Sample

1st row경상남도 산청군 삼장면 대하내원로 256
2nd row경상남도 산청군 금서면 왕등재로 41
3rd row경상남도 산청군 단성면 성철로 125
4th row경상남도 산청군 생초면 산수로 1064
5th row경상남도 산청군 단성면 지리산대로2897번길 8-7
ValueCountFrequency (%)
경상남도 12
20.0%
산청군 12
20.0%
생초면 3
 
5.0%
산수로 3
 
5.0%
1064 3
 
5.0%
금서면 3
 
5.0%
단성면 3
 
5.0%
동의보감로555번길 2
 
3.3%
시천면 2
 
3.3%
지리산대로 1
 
1.7%
Other values (16) 16
26.7%
2023-12-11T10:02:16.725508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48
17.9%
산 17
 
6.3%
남 13
 
4.9%
상 13
 
4.9%
경 12
 
4.5%
면 12
 
4.5%
도 12
 
4.5%
청 12
 
4.5%
군 12
 
4.5%
로 11
 
4.1%
Other values (39) 106
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
64.6%
Space Separator 48
 
17.9%
Decimal Number 45
 
16.8%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 17
 
9.8%
남 13
 
7.5%
상 13
 
7.5%
경 12
 
6.9%
면 12
 
6.9%
도 12
 
6.9%
청 12
 
6.9%
군 12
 
6.9%
로 11
 
6.4%
길 4
 
2.3%
Other values (27) 55
31.8%
Decimal Number
ValueCountFrequency (%)
5 10
22.2%
1 8
17.8%
6 8
17.8%
4 5
11.1%
2 3
 
6.7%
0 3
 
6.7%
8 2
 
4.4%
7 2
 
4.4%
9 2
 
4.4%
3 2
 
4.4%
Space Separator
ValueCountFrequency (%)
48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
64.6%
Common 95
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 17
 
9.8%
남 13
 
7.5%
상 13
 
7.5%
경 12
 
6.9%
면 12
 
6.9%
도 12
 
6.9%
청 12
 
6.9%
군 12
 
6.9%
로 11
 
6.4%
길 4
 
2.3%
Other values (27) 55
31.8%
Common
ValueCountFrequency (%)
48
50.5%
5 10
 
10.5%
1 8
 
8.4%
6 8
 
8.4%
4 5
 
5.3%
2 3
 
3.2%
0 3
 
3.2%
8 2
 
2.1%
- 2
 
2.1%
7 2
 
2.1%
Other values (2) 4
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
64.6%
ASCII 95
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48
50.5%
5 10
 
10.5%
1 8
 
8.4%
6 8
 
8.4%
4 5
 
5.3%
2 3
 
3.2%
0 3
 
3.2%
8 2
 
2.1%
- 2
 
2.1%
7 2
 
2.1%
Other values (2) 4
 
4.2%
Hangul
ValueCountFrequency (%)
산 17
 
9.8%
남 13
 
7.5%
상 13
 
7.5%
경 12
 
6.9%
면 12
 
6.9%
도 12
 
6.9%
청 12
 
6.9%
군 12
 
6.9%
로 11
 
6.4%
길 4
 
2.3%
Other values (27) 55
31.8%

소재지지번주소
Text

MISSING 

Distinct42
Distinct (%)80.8%
Missing12
Missing (%)18.8%
Memory size644.0 B
2023-12-11T10:02:16.906438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length15.846154
Min length12

Characters and Unicode

Total characters824
Distinct characters80
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

Unique33 ?
Unique (%)63.5%

Sample

1st row경상남도 산청군 생초면 갈전리
2nd row경상남도 산청군 단성면 백운리
3rd row경상남도 산청군 생비량면
4th row경상남도 산청군 시천면 중산리
5th row경상남도 산청군 시천면 중산리
ValueCountFrequency (%)
경상남도 52
25.1%
산청군 52
25.1%
단성면 11
 
5.3%
시천면 11
 
5.3%
삼장면 6
 
2.9%
오부면 4
 
1.9%
생초면 4
 
1.9%
산청읍 4
 
1.9%
신등면 3
 
1.4%
백운리 3
 
1.4%
Other values (44) 57
27.5%
2023-12-11T10:02:17.219144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
18.8%
산 59
 
7.2%
청 57
 
6.9%
남 55
 
6.7%
도 53
 
6.4%
경 52
 
6.3%
군 52
 
6.3%
상 52
 
6.3%
리 49
 
5.9%
면 48
 
5.8%
Other values (70) 192
23.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 662
80.3%
Space Separator 155
 
18.8%
Decimal Number 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 59
 
8.9%
청 57
 
8.6%
남 55
 
8.3%
도 53
 
8.0%
경 52
 
7.9%
군 52
 
7.9%
상 52
 
7.9%
리 49
 
7.4%
면 48
 
7.3%
천 15
 
2.3%
Other values (62) 170
25.7%
Decimal Number
ValueCountFrequency (%)
0 1
14.3%
5 1
14.3%
1 1
14.3%
4 1
14.3%
3 1
14.3%
8 1
14.3%
6 1
14.3%
Space Separator
ValueCountFrequency (%)
155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 662
80.3%
Common 162
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 59
 
8.9%
청 57
 
8.6%
남 55
 
8.3%
도 53
 
8.0%
경 52
 
7.9%
군 52
 
7.9%
상 52
 
7.9%
리 49
 
7.4%
면 48
 
7.3%
천 15
 
2.3%
Other values (62) 170
25.7%
Common
ValueCountFrequency (%)
155
95.7%
0 1
 
0.6%
5 1
 
0.6%
1 1
 
0.6%
4 1
 
0.6%
3 1
 
0.6%
8 1
 
0.6%
6 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 662
80.3%
ASCII 162
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
95.7%
0 1
 
0.6%
5 1
 
0.6%
1 1
 
0.6%
4 1
 
0.6%
3 1
 
0.6%
8 1
 
0.6%
6 1
 
0.6%
Hangul
ValueCountFrequency (%)
산 59
 
8.9%
청 57
 
8.6%
남 55
 
8.3%
도 53
 
8.0%
경 52
 
7.9%
군 52
 
7.9%
상 52
 
7.9%
리 49
 
7.4%
면 48
 
7.3%
천 15
 
2.3%
Other values (62) 170
25.7%

담당자
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
산림보호담당
30 
관광마케팅담당
18 
문화재담당
10 
관광시설담당
 
2
한방항노화담당
 
2
Other values (2)
 
2

Length

Max length7
Median length6
Mean length6.171875
Min length5

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
산림보호담당 30
46.9%
관광마케팅담당 18
28.1%
문화재담당 10
 
15.6%
관광시설담당 2
 
3.1%
한방항노화담당 2
 
3.1%
산청양수발전소 1
 
1.6%
문화예술담당 1
 
1.6%

Length

2023-12-11T10:02:17.349450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:02:17.452972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산림보호담당 30
46.9%
관광마케팅담당 18
28.1%
문화재담당 10
 
15.6%
관광시설담당 2
 
3.1%
한방항노화담당 2
 
3.1%
산청양수발전소 1
 
1.6%
문화예술담당 1
 
1.6%

연락처
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size644.0 B
055-970-6911
30 
055-970-7231
18 
055-970-6411
10 
055 970-6601
 
2
055-970-7223
 
1
Other values (3)
 
3

Length

Max length13
Median length12
Mean length12.015625
Min length12

Unique

Unique4 ?
Unique (%)6.2%

Sample

1st row055-970-6911
2nd row055-970-6911
3rd row055-970-6911
4th row055-970-6911
5th row055-970-7231

Common Values

ValueCountFrequency (%)
055-970-6911 30
46.9%
055-970-7231 18
28.1%
055-970-6411 10
 
15.6%
055 970-6601 2
 
3.1%
055-970-7223 1
 
1.6%
070-4831-2141 1
 
1.6%
055-970-6401 1
 
1.6%
055-970-7222 1
 
1.6%

Length

2023-12-11T10:02:17.560409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:02:17.692631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-970-6911 30
45.5%
055-970-7231 18
27.3%
055-970-6411 10
 
15.2%
055 2
 
3.0%
970-6601 2
 
3.0%
055-970-7223 1
 
1.5%
070-4831-2141 1
 
1.5%
055-970-6401 1
 
1.5%
055-970-7222 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
2023-12-11T10:02:17.821360image/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
2023-12-11T10:02:17.944464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.49145 3
 
4.7%
35.28638 3
 
4.7%
35.27841 2
 
3.1%
35.29107 2
 
3.1%
35.36097 2
 
3.1%
35.32338 2
 
3.1%
35.2641 2
 
3.1%
35.44226 2
 
3.1%
35.36253 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
2023-12-11T10:02:18.061854image/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
2023-12-11T10:02:18.185215image/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%
127.85587 2
 
3.1%
127.84743 2
 
3.1%
127.88876 2
 
3.1%
127.93377 2
 
3.1%
127.82879 2
 
3.1%
127.96293 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
Minimum2022-10-27 00:00:00
Maximum2022-10-27 00:00:00
2023-12-11T10:02:18.306500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:18.424085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T10:02:14.257129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:13.806823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:14.035990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:14.337831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:13.881791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:14.111180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:14.428383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:13.961523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:02:14.182104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T10:02:18.507417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분관광지명우편번호소재지도로명주소소재지지번주소담당자연락처위도경도
구분1.0001.0000.0000.7910.7390.9420.8550.0000.078
관광지명1.0001.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.0001.0001.0001.0001.0000.2360.1640.8710.693
소재지도로명주소0.7911.0001.0001.000NaN0.9620.8091.0001.000
소재지지번주소0.7391.0001.000NaN1.0000.8580.8581.0001.000
담당자0.9421.0000.2360.9620.8581.0001.0000.0000.000
연락처0.8551.0000.1640.8090.8581.0001.0000.0000.000
위도0.0001.0000.8711.0001.0000.0000.0001.0000.567
경도0.0781.0000.6931.0001.0000.0000.0000.5671.000
2023-12-11T10:02:18.619841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분담당자연락처
구분1.0000.6360.670
담당자0.6361.0000.991
연락처0.6700.9911.000
2023-12-11T10:02:18.709569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호위도경도구분담당자연락처
우편번호1.000-0.6620.4240.0000.1250.076
위도-0.6621.0000.0760.0000.0000.000
경도0.4240.0761.0000.0000.0000.000
구분0.0000.0000.0001.0000.6360.670
담당자0.1250.0000.0000.6361.0000.991
연락처0.0760.0000.0000.6700.9911.000

Missing values

2023-12-11T10:02:14.532243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:02:14.891973image/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.
2023-12-11T10:02:14.990403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분관광지명우편번호소재지도로명주소소재지지번주소담당자연락처위도경도데이터기준일자
0관광명소 > 강경호강52204<NA>경상남도 산청군 생초면 갈전리산림보호담당055-970-691135.4767127.841242022-10-27
1관광명소 > 강덕천강52245<NA>경상남도 산청군 단성면 백운리산림보호담당055-970-691135.28638127.87972022-10-27
2관광명소 > 강양천강52256<NA>경상남도 산청군 생비량면산림보호담당055-970-691135.34488128.045172022-10-27
3관광명소 > 강지리산 양단수52236<NA>경상남도 산청군 시천면 중산리산림보호담당055-970-691135.30571127.744642022-10-27
4관광명소 > 계곡/유원지내원사계곡52235경상남도 산청군 삼장면 대하내원로 256<NA>관광마케팅담당055-970-723135.30019127.810472022-10-27
5관광명소 > 계곡/유원지중산리계곡52236<NA>경상남도 산청군 시천면 중산리관광마케팅담당055-970-723135.30571127.744642022-10-27
6관광명소 > 계곡/유원지고운동 계곡52238<NA>경상남도 산청군 시천면 반천리관광마케팅담당055-970-723135.23298127.779072022-10-27
7관광명소 > 계곡/유원지거림계곡52237<NA>경상남도 산청군 시천면 내대리관광마케팅담당055-970-723135.28786127.724332022-10-27
8관광명소 > 계곡/유원지백운동 계곡52245<NA>경상남도 산청군 단성면 백운리관광마케팅담당055-970-723135.28638127.87972022-10-27
9관광명소 > 계곡/유원지선유동계곡52261<NA>경상남도 산청군 신안면 안봉리관광마케팅담당055-970-723135.36253127.962932022-10-27
구분관광지명우편번호소재지도로명주소소재지지번주소담당자연락처위도경도데이터기준일자
54관광명소 > 산이방산 · 감투봉52233<NA>경상남도 산청군 삼장면 덕교리산림보호담당055-970-691135.31305127.835892022-10-27
55관광명소 > 산월명산52261<NA>경상남도 산청군 신안면 안봉리산림보호담당055-970-691135.36253127.962932022-10-27
56관광명소 > 산갈전산52200<NA>경상남도 산청군 생초면 향양리산림보호담당055-970-691135.55629127.859262022-10-27
57관광명소 > 산지리산 천왕봉52236<NA>경상남도 산청군 시천면산림보호담당055-970-691135.27841127.84062022-10-27
58관광명소 > 전시/예술동의보감촌52229경상남도 산청군 금서면 동의보감로555번길 45-6<NA>한방항노화담당055 970-660135.44226127.828792022-10-27
59관광명소 > 전시/예술산청양수발전소홍보관52237<NA>경상남도 산청군 시천면 신천리 506산청양수발전소070-4831-214135.25654127.779742022-10-27
60관광명소 > 전시/예술남명기념관52234경상남도 산청군 시천면 남명로 311<NA>문화재담당055-970-641135.27527127.850422022-10-27
61관광명소 > 전시/예술산청군목조각장전수관52203경상남도 산청군 생초면 산수로 1064<NA>문화재담당055-970-641135.49145127.831222022-10-27
62관광명소 > 전시/예술기산 박헌봉선생 생가(기산국악당)52252경상남도 산청군 단성면 상동길 69<NA>문화예술담당055-970-640135.2763127.93282022-10-27
63관광명소 > 전시/예술지리산빨치산토벌전시관52236경상남도 산청군 시천면 지리산대로 536<NA>관광시설담당055-970-722235.291376127.7542562022-10-27