Overview

Dataset statistics

Number of variables9
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory78.9 B

Variable types

Text2
DateTime1
Numeric4
Categorical2

Dataset

Description부산시 온천 현황에 대한 데이터로 온천명, 도로명주소, 지정일, 면적, 온도, 성분, 위도, 경도 데이터기준일자 항목에 대한 정보를 제공합니다.
Author부산광역시
URLhttps://www.data.go.kr/data/15066572/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
도로명주소 has unique valuesUnique
면적(제곱미터) has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:15:03.742683
Analysis finished2023-12-12 05:15:06.180625
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

온천명
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T14:15:06.395082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length14.478261
Min length10

Characters and Unicode

Total characters666
Distinct characters119
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)95.7%

Sample

1st row부산북항 온천원보호지구
2nd row태종대온천 온천공보호구역
3rd row영도해수온천 온천공보호구역
4th row동의과학대학교 스포츠센터 온천공보호구역
5th row㈜국제식품 양정점 국제온천 온천공보호구역
ValueCountFrequency (%)
온천공보호구역 42
40.0%
온천원보호지구 4
 
3.8%
이스트베이 2
 
1.9%
스파앤리조트 2
 
1.9%
온천 2
 
1.9%
에메랄드 2
 
1.9%
냉정온천 1
 
1.0%
금샘온천 1
 
1.0%
새미랑24시 1
 
1.0%
신호해수온천 1
 
1.0%
Other values (47) 47
44.8%
2023-12-12T14:15:06.874210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
온 69
 
10.4%
천 69
 
10.4%
64
 
9.6%
호 48
 
7.2%
구 47
 
7.1%
보 46
 
6.9%
공 43
 
6.5%
역 42
 
6.3%
이 10
 
1.5%
스 9
 
1.4%
Other values (109) 219
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 584
87.7%
Space Separator 64
 
9.6%
Decimal Number 12
 
1.8%
Dash Punctuation 2
 
0.3%
Other Symbol 2
 
0.3%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
온 69
 
11.8%
천 69
 
11.8%
호 48
 
8.2%
구 47
 
8.0%
보 46
 
7.9%
공 43
 
7.4%
역 42
 
7.2%
이 10
 
1.7%
스 9
 
1.5%
산 7
 
1.2%
Other values (97) 194
33.2%
Decimal Number
ValueCountFrequency (%)
7 3
25.0%
2 3
25.0%
1 1
 
8.3%
8 1
 
8.3%
5 1
 
8.3%
3 1
 
8.3%
4 1
 
8.3%
9 1
 
8.3%
Space Separator
ValueCountFrequency (%)
64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 586
88.0%
Common 78
 
11.7%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
온 69
 
11.8%
천 69
 
11.8%
호 48
 
8.2%
구 47
 
8.0%
보 46
 
7.8%
공 43
 
7.3%
역 42
 
7.2%
이 10
 
1.7%
스 9
 
1.5%
산 7
 
1.2%
Other values (98) 196
33.4%
Common
ValueCountFrequency (%)
64
82.1%
7 3
 
3.8%
2 3
 
3.8%
- 2
 
2.6%
1 1
 
1.3%
8 1
 
1.3%
5 1
 
1.3%
3 1
 
1.3%
4 1
 
1.3%
9 1
 
1.3%
Latin
ValueCountFrequency (%)
C 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 584
87.7%
ASCII 80
 
12.0%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
온 69
 
11.8%
천 69
 
11.8%
호 48
 
8.2%
구 47
 
8.0%
보 46
 
7.9%
공 43
 
7.4%
역 42
 
7.2%
이 10
 
1.7%
스 9
 
1.5%
산 7
 
1.2%
Other values (97) 194
33.2%
ASCII
ValueCountFrequency (%)
64
80.0%
7 3
 
3.8%
2 3
 
3.8%
- 2
 
2.5%
C 2
 
2.5%
1 1
 
1.2%
8 1
 
1.2%
5 1
 
1.2%
3 1
 
1.2%
4 1
 
1.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

도로명주소
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T14:15:07.262567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length20.195652
Min length16

Characters and Unicode

Total characters929
Distinct characters106
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 초량동 1185-1
2nd row부산광역시 영도구 태종로 808
3rd row부산광역시 영도구 청학동 330-64
4th row부산광역시 부산진구 양지로 54
5th row부산광역시 부산진구 거제대로 70
ValueCountFrequency (%)
부산광역시 46
23.7%
기장군 10
 
5.2%
해운대구 8
 
4.1%
사상구 6
 
3.1%
기장읍 4
 
2.1%
강서구 4
 
2.1%
일광읍 3
 
1.5%
수영구 3
 
1.5%
남구 2
 
1.0%
정관읍 2
 
1.0%
Other values (97) 106
54.6%
2023-12-12T14:15:07.807039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
 
15.9%
광 52
 
5.6%
산 51
 
5.5%
시 49
 
5.3%
부 48
 
5.2%
역 46
 
5.0%
구 37
 
4.0%
로 34
 
3.7%
3 27
 
2.9%
1 26
 
2.8%
Other values (96) 411
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 600
64.6%
Decimal Number 169
 
18.2%
Space Separator 148
 
15.9%
Dash Punctuation 11
 
1.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 52
 
8.7%
산 51
 
8.5%
시 49
 
8.2%
부 48
 
8.0%
역 46
 
7.7%
구 37
 
6.2%
로 34
 
5.7%
장 20
 
3.3%
대 18
 
3.0%
기 16
 
2.7%
Other values (83) 229
38.2%
Decimal Number
ValueCountFrequency (%)
3 27
16.0%
1 26
15.4%
0 22
13.0%
2 19
11.2%
7 17
10.1%
5 14
8.3%
6 13
7.7%
8 13
7.7%
4 11
6.5%
9 7
 
4.1%
Space Separator
ValueCountFrequency (%)
148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 600
64.6%
Common 329
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 52
 
8.7%
산 51
 
8.5%
시 49
 
8.2%
부 48
 
8.0%
역 46
 
7.7%
구 37
 
6.2%
로 34
 
5.7%
장 20
 
3.3%
대 18
 
3.0%
기 16
 
2.7%
Other values (83) 229
38.2%
Common
ValueCountFrequency (%)
148
45.0%
3 27
 
8.2%
1 26
 
7.9%
0 22
 
6.7%
2 19
 
5.8%
7 17
 
5.2%
5 14
 
4.3%
6 13
 
4.0%
8 13
 
4.0%
- 11
 
3.3%
Other values (3) 19
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 600
64.6%
ASCII 329
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
45.0%
3 27
 
8.2%
1 26
 
7.9%
0 22
 
6.7%
2 19
 
5.8%
7 17
 
5.2%
5 14
 
4.3%
6 13
 
4.0%
8 13
 
4.0%
- 11
 
3.3%
Other values (3) 19
 
5.8%
Hangul
ValueCountFrequency (%)
광 52
 
8.7%
산 51
 
8.5%
시 49
 
8.2%
부 48
 
8.0%
역 46
 
7.7%
구 37
 
6.2%
로 34
 
5.7%
장 20
 
3.3%
대 18
 
3.0%
기 16
 
2.7%
Other values (83) 229
38.2%

지정일
Date

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum1981-09-07 00:00:00
Maximum2022-12-15 00:00:00
2023-12-12T14:15:07.995046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:08.181390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84500.087
Minimum626
Maximum1406000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T14:15:08.322670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum626
5-th percentile752.5
Q11355
median2366
Q39771.25
95-th percentile596298
Maximum1406000
Range1405374
Interquartile range (IQR)8416.25

Descriptive statistics

Standard deviation275328.66
Coefficient of variation (CV)3.258324
Kurtosis14.656402
Mean84500.087
Median Absolute Deviation (MAD)1380.5
Skewness3.813538
Sum3887004
Variance7.5805871 × 1010
MonotonicityNot monotonic
2023-12-12T14:15:08.462941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
625064 1
 
2.2%
729 1
 
2.2%
1376 1
 
2.2%
626 1
 
2.2%
2332 1
 
2.2%
1387 1
 
2.2%
979 1
 
2.2%
1626 1
 
2.2%
1966 1
 
2.2%
750 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
626 1
2.2%
729 1
2.2%
750 1
2.2%
760 1
2.2%
968 1
2.2%
979 1
2.2%
992 1
2.2%
1121 1
2.2%
1219 1
2.2%
1311 1
2.2%
ValueCountFrequency (%)
1406000 1
2.2%
1051325 1
2.2%
625064 1
2.2%
510000 1
2.2%
39610 1
2.2%
38500 1
2.2%
36079 1
2.2%
29999 1
2.2%
24333 1
2.2%
16504 1
2.2%

온도(섭씨)
Real number (ℝ)

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.328261
Minimum25.3
Maximum68.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T14:15:08.609569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.3
5-th percentile25.525
Q127.25
median29
Q331.375
95-th percentile45.85
Maximum68.1
Range42.8
Interquartile range (IQR)4.125

Descriptive statistics

Standard deviation8.3138081
Coefficient of variation (CV)0.26537726
Kurtosis10.613331
Mean31.328261
Median Absolute Deviation (MAD)2.1
Skewness3.108446
Sum1441.1
Variance69.119406
MonotonicityNot monotonic
2023-12-12T14:15:08.747140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
28.0 4
 
8.7%
28.2 3
 
6.5%
29.4 3
 
6.5%
27.7 2
 
4.3%
26.8 2
 
4.3%
25.3 2
 
4.3%
30.3 1
 
2.2%
25.5 1
 
2.2%
39.4 1
 
2.2%
26.5 1
 
2.2%
Other values (26) 26
56.5%
ValueCountFrequency (%)
25.3 2
4.3%
25.5 1
2.2%
25.6 1
2.2%
25.7 1
2.2%
25.8 1
2.2%
26.0 1
2.2%
26.1 1
2.2%
26.5 1
2.2%
26.8 2
4.3%
27.1 1
2.2%
ValueCountFrequency (%)
68.1 1
2.2%
60.0 1
2.2%
47.9 1
2.2%
39.7 1
2.2%
39.4 1
2.2%
36.4 1
2.2%
34.2 1
2.2%
34.0 1
2.2%
33.0 1
2.2%
32.9 1
2.2%

성분
Categorical

Distinct21
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
Na-Cl
12 
Na(Ca)-Cl
7 
Ca(Na)-Cl
4 
Na-Cl(HCO3)
2 
Na-HCO3
2 
Other values (16)
19 

Length

Max length81
Median length76
Mean length15.913043
Min length4

Unique

Unique13 ?
Unique (%)28.3%

Sample

1st rowNa(Ca)-Cl
2nd rowCa(Na)-CI(HCOз), Ca(Na)-CI, Ca(Na)-CI(HCOз)
3rd rowCa(Na)-Cl
4th rowNa(Ca)-Cl(HCO3)
5th rowNa(Ca)-Cl

Common Values

ValueCountFrequency (%)
Na-Cl 12
26.1%
Na(Ca)-Cl 7
15.2%
Ca(Na)-Cl 4
 
8.7%
Na-Cl(HCO3) 2
 
4.3%
Na-HCO3 2
 
4.3%
Na-HCo₃ 2
 
4.3%
Na(나트륨), K(칼륨), Ca(칼슘), Mg(마그네슘), HCO3(중탄산염이온), CO3(탄산염이온), Cl(염소), SO4(황산염) 2
 
4.3%
Na-HCO₃ 2
 
4.3%
Na(Ca)-Cl(K,Na,Li,Sr,Ca,Mg,Fe,Mn,Cu,Pb,Zn,Cl-,SO4-2,HCO3-,F-,SiO2,TS, Free CO2) 1
 
2.2%
Na(Ca)-Cl(HCO3) 1
 
2.2%
Other values (11) 11
23.9%

Length

2023-12-12T14:15:08.890872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na-cl 12
18.8%
na(ca)-cl 8
 
12.5%
ca(na)-cl 4
 
6.2%
na-hco₃ 4
 
6.2%
hco3(중탄산염이온 2
 
3.1%
ca(na)-ci(hcoз 2
 
3.1%
so4(황산염 2
 
3.1%
cl(염소 2
 
3.1%
co3(탄산염이온 2
 
3.1%
na(ca)-cl(k,na,li,sr,ca,mg,fe,mn,cu,pb,zn,cl-,so4-2,hco3-,f-,sio2,ts 2
 
3.1%
Other values (18) 24
37.5%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.09623
Minimum128.8749
Maximum129.25546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T14:15:09.035091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.8749
5-th percentile128.92278
Q1129.01721
median129.10289
Q3129.17701
95-th percentile129.235
Maximum129.25546
Range0.3805609
Interquartile range (IQR)0.15980215

Descriptive statistics

Standard deviation0.099622135
Coefficient of variation (CV)0.00077168893
Kurtosis-0.69837316
Mean129.09623
Median Absolute Deviation (MAD)0.0772039
Skewness-0.33219969
Sum5938.4268
Variance0.0099245698
MonotonicityNot monotonic
2023-12-12T14:15:09.234607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
129.0484467 1
 
2.2%
128.9969574 1
 
2.2%
128.9023982 1
 
2.2%
129.1049575 1
 
2.2%
129.121083 1
 
2.2%
129.1358263 1
 
2.2%
128.9867778 1
 
2.2%
129.0168135 1
 
2.2%
128.9950791 1
 
2.2%
128.9873857 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
128.8748972 1
2.2%
128.9023982 1
2.2%
128.921159 1
2.2%
128.9276446 1
2.2%
128.9759411 1
2.2%
128.9849432 1
2.2%
128.9867778 1
2.2%
128.9873857 1
2.2%
128.9885858 1
2.2%
128.9950791 1
2.2%
ValueCountFrequency (%)
129.2554581 1
2.2%
129.2418108 1
2.2%
129.236275 1
2.2%
129.2311761 1
2.2%
129.2246052 1
2.2%
129.2210515 1
2.2%
129.2174717 1
2.2%
129.2160986 1
2.2%
129.2034434 1
2.2%
129.1801466 1
2.2%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.177566
Minimum35.061563
Maximum35.34028
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T14:15:09.390303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.061563
5-th percentile35.081629
Q135.148915
median35.166458
Q335.196635
95-th percentile35.304498
Maximum35.34028
Range0.27871671
Interquartile range (IQR)0.047719722

Descriptive statistics

Standard deviation0.065393582
Coefficient of variation (CV)0.001858957
Kurtosis0.22113468
Mean35.177566
Median Absolute Deviation (MAD)0.02670106
Skewness0.56810953
Sum1618.168
Variance0.0042763206
MonotonicityNot monotonic
2023-12-12T14:15:09.568705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
35.11031909 1
 
2.2%
35.18207122 1
 
2.2%
35.09109301 1
 
2.2%
35.16717902 1
 
2.2%
35.15104749 1
 
2.2%
35.15279428 1
 
2.2%
35.15566857 1
 
2.2%
35.14793777 1
 
2.2%
35.19102049 1
 
2.2%
35.16237077 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
35.06156337 1
2.2%
35.06436984 1
2.2%
35.07847495 1
2.2%
35.09109301 1
2.2%
35.09534301 1
2.2%
35.09541444 1
2.2%
35.09729043 1
2.2%
35.11031909 1
2.2%
35.12788186 1
2.2%
35.1349404 1
2.2%
ValueCountFrequency (%)
35.34028008 1
2.2%
35.31948506 1
2.2%
35.31055482 1
2.2%
35.28632758 1
2.2%
35.27877977 1
2.2%
35.26775005 1
2.2%
35.25079797 1
2.2%
35.24774647 1
2.2%
35.23848694 1
2.2%
35.23238523 1
2.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-09-22
46 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-22
2nd row2023-09-22
3rd row2023-09-22
4th row2023-09-22
5th row2023-09-22

Common Values

ValueCountFrequency (%)
2023-09-22 46
100.0%

Length

2023-12-12T14:15:09.726417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:15:09.824914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-22 46
100.0%

Interactions

2023-12-12T14:15:05.481850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:04.148613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:04.620207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:05.021045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:05.591826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:04.242556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:04.736384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:05.133914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:05.684537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:04.353842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:04.824790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:05.245320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:05.785163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:04.479475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:04.932406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:15:05.367608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:15:09.909846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
온천명도로명주소지정일면적(제곱미터)온도(섭씨)성분위도경도
온천명1.0001.0001.0001.0001.0000.8120.9471.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
지정일1.0001.0001.0000.0000.0000.0000.9550.889
면적(제곱미터)1.0001.0000.0001.0000.7920.0000.3220.729
온도(섭씨)1.0001.0000.0000.7921.0000.5000.0000.527
성분0.8121.0000.0000.0000.5001.0000.7510.777
위도0.9471.0000.9550.3220.0000.7511.0000.464
경도1.0001.0000.8890.7290.5270.7770.4641.000
2023-12-12T14:15:10.039244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)온도(섭씨)위도경도성분
면적(제곱미터)1.0000.2420.4730.1710.000
온도(섭씨)0.2421.000-0.203-0.1300.168
위도0.473-0.2031.0000.5710.294
경도0.171-0.1300.5711.0000.290
성분0.0000.1680.2940.2901.000

Missing values

2023-12-12T14:15:05.946792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:15:06.120736image/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

온천명도로명주소지정일면적(제곱미터)온도(섭씨)성분위도경도데이터기준일자
0부산북항 온천원보호지구부산광역시 동구 초량동 1185-12016-07-2062506432.9Na(Ca)-Cl129.04844735.1103192023-09-22
1태종대온천 온천공보호구역부산광역시 영도구 태종로 8082002-02-263961028.7Ca(Na)-CI(HCOз), Ca(Na)-CI, Ca(Na)-CI(HCOз)129.0825835.0615632023-09-22
2영도해수온천 온천공보호구역부산광역시 영도구 청학동 330-642019-07-24495926.8Ca(Na)-Cl129.06318435.0953432023-09-22
3동의과학대학교 스포츠센터 온천공보호구역부산광역시 부산진구 양지로 542010-10-0796833.0Na(Ca)-Cl(HCO3)129.07448935.1627652023-09-22
4㈜국제식품 양정점 국제온천 온천공보호구역부산광역시 부산진구 거제대로 702022-12-07245547.9Na(Ca)-Cl129.07049135.171782023-09-22
5동래 온천원보호지구부산광역시 동래구 온천1동 일원1981-09-0751000068.1염화나트륨129.07479335.2092252023-09-22
6대영온천 온천공보호구역부산광역시 남구 황령대로492번길 102015-03-11121928.8Na(Ca)-Cl129.10905435.134942023-09-22
7부산금련산 온천원보호지구부산광역시 남구 대연동 산53-201995-01-05105132529.4<NA>129.10082635.1482042023-09-22
8화명레포츠 온천공보호구역부산광역시 북구 와석장터로 202020-02-19140939.7Na(Ca)-Cl129.01840535.2323852023-09-22
9해운대 온천원보호지구부산광역시 해운대구 중동, 우동1981-09-07140600060.0Na-Cl129.17525735.1599192023-09-22
온천명도로명주소지정일면적(제곱미터)온도(섭씨)성분위도경도데이터기준일자
36베이사이드CC 온천공보호구역부산광역시 기장군 일광읍 이천8길1002011-06-152999926.8Na-Cl129.24181135.278782023-09-22
37정관온천 온천공보호구역부산광역시 기장군 정관읍 정관8로 16-52011-08-31176829.4Na-HCO3129.18014735.3194852023-09-22
38라이프온천 온천공보호구역부산광역시 기장군 기장읍 반송로 16502005-02-28196825.6Ca(Na)-HCO3(Cl_)129.22105135.2477462023-09-22
39아난티코브 온천공보호구역부산광역시 기장군 기장읍 기장해안로 268-312017-04-18953228.0Na(Ca)-Cl129.23117635.1970812023-09-22
40동부산관광호텔 온천공보호구역부산광역시 기장군 장안읍 장안로 382020-08-05985128.2Na-Cl(HCO3)129.25545835.340282023-09-22
41일광온천 온천공보호구역부산광역시 기장군 일광읍 기장대로 1075-32003-07-112433329.6Na(Ca)-Cl129.23627535.2863282023-09-22
42하이리페움 온천공보호구역부산광역시 기장군 일광읍 해빛4로352021-06-16667327.7Ca(Na)-Cl(HCO3)129.22460535.267752023-09-22
43이스트베이 스파앤리조트 온천공보호구역부산광역시 기장군 기장읍 시랑리 7272020-11-251311528.2Na-Cl(HCO3)129.21747235.1846622023-09-22
44이스트베이 스파앤리조트 온천공보호구역부산광역시 기장군 기장읍 시랑리 7262020-11-251650428.2Na-Cl(HCO4)129.21609935.184632023-09-22
45정관 온천랜드 온천공보호구역부산광역시 기장군 정관읍 달산리 934-112014-12-24906036.4Na-SO4(HCO3,Cl)129.17518935.3105552023-09-22