Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory576.2 KiB
Average record size in memory59.0 B

Variable types

DateTime1
Numeric3
Categorical2

Dataset

Description부산광역시_열섬관측지점정보_20240101
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15120945

Alerts

센서항목코드 is highly overall correlated with 센서값 and 1 other fieldsHigh correlation
센서 코드 is highly overall correlated with 센서명High correlation
센서값 is highly overall correlated with 센서항목코드High correlation
센서항목 is highly overall correlated with 센서항목코드High correlation
센서명 is highly overall correlated with 센서 코드High correlation

Reproduction

Analysis started2024-03-13 13:15:36.042303
Analysis finished2024-03-13 13:15:37.926786
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜 및 시간
Date

Distinct1042
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-01-01 00:00:00
Maximum2024-01-04 14:45:00
2024-03-13T22:15:38.015501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:15:38.178138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

센서항목코드
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27574.707
Minimum8192
Maximum61440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T22:15:38.320057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8192
5-th percentile8192
Q18448
median28928
Q329696
95-th percentile61440
Maximum61440
Range53248
Interquartile range (IQR)21248

Descriptive statistics

Standard deviation17753.169
Coefficient of variation (CV)0.64382077
Kurtosis-0.33729596
Mean27574.707
Median Absolute Deviation (MAD)768
Skewness0.73109911
Sum2.7574707 × 108
Variance3.1517501 × 108
MonotonicityNot monotonic
2024-03-13T22:15:38.444313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
29696 1675
16.8%
28672 1674
16.7%
8448 1667
16.7%
28928 1666
16.7%
61440 1663
16.6%
8192 1655
16.6%
ValueCountFrequency (%)
8192 1655
16.6%
8448 1667
16.7%
28672 1674
16.7%
28928 1666
16.7%
29696 1675
16.8%
61440 1663
16.6%
ValueCountFrequency (%)
61440 1663
16.6%
29696 1675
16.8%
28928 1666
16.7%
28672 1674
16.7%
8448 1667
16.7%
8192 1655
16.6%

센서항목
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기압
1675 
풍향
1674 
습도
1667 
풍속
1666 
기타
1663 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row풍향
2nd row습도
3rd row기타
4th row풍향
5th row습도

Common Values

ValueCountFrequency (%)
기압 1675
16.8%
풍향 1674
16.7%
습도 1667
16.7%
풍속 1666
16.7%
기타 1663
16.6%
온도 1655
16.6%

Length

2024-03-13T22:15:38.558487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:15:38.687585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기압 1675
16.8%
풍향 1674
16.7%
습도 1667
16.7%
풍속 1666
16.7%
기타 1663
16.6%
온도 1655
16.6%

센서 코드
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4418
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T22:15:38.816443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q312
95-th percentile16
Maximum16
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.6207302
Coefficient of variation (CV)0.54736315
Kurtosis-1.2151722
Mean8.4418
Median Absolute Deviation (MAD)4
Skewness0.0063185188
Sum84418
Variance21.351148
MonotonicityNot monotonic
2024-03-13T22:15:38.941957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 657
 
6.6%
2 652
 
6.5%
11 651
 
6.5%
1 648
 
6.5%
13 642
 
6.4%
7 641
 
6.4%
9 625
 
6.2%
15 623
 
6.2%
8 620
 
6.2%
12 616
 
6.2%
Other values (6) 3625
36.2%
ValueCountFrequency (%)
1 648
6.5%
2 652
6.5%
3 657
6.6%
4 598
6.0%
5 611
6.1%
6 615
6.2%
7 641
6.4%
8 620
6.2%
9 625
6.2%
10 595
5.9%
ValueCountFrequency (%)
16 604
6.0%
15 623
6.2%
14 602
6.0%
13 642
6.4%
12 616
6.2%
11 651
6.5%
10 595
5.9%
9 625
6.2%
8 620
6.2%
7 641
6.4%

센서명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
동구
 
657
서구
 
652
강서구
 
651
중구
 
648
수영구
 
642
Other values (11)
6750 

Length

Max length4
Median length3
Mean length2.8018
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기장군
2nd row금정구
3rd row중구
4th row강서구
5th row서구

Common Values

ValueCountFrequency (%)
동구 657
 
6.6%
서구 652
 
6.5%
강서구 651
 
6.5%
중구 648
 
6.5%
수영구 642
 
6.4%
북구 641
 
6.4%
사하구 625
 
6.2%
기장군 623
 
6.2%
해운대구 620
 
6.2%
연제구 616
 
6.2%
Other values (6) 3625
36.2%

Length

2024-03-13T22:15:39.090394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동구 657
 
6.6%
서구 652
 
6.5%
강서구 651
 
6.5%
중구 648
 
6.5%
수영구 642
 
6.4%
북구 641
 
6.4%
사하구 625
 
6.2%
기장군 623
 
6.2%
해운대구 620
 
6.2%
연제구 616
 
6.2%
Other values (6) 3625
36.2%

센서값
Real number (ℝ)

HIGH CORRELATION 

Distinct9926
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4116071.4
Minimum-99.981608
Maximum28091550
Zeros41
Zeros (%)0.4%
Negative98
Negative (%)1.0%
Memory size166.0 KiB
2024-03-13T22:15:39.231203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-99.981608
5-th percentile0.37803667
Q16.4457812
median78.008824
Q31020.7905
95-th percentile27852172
Maximum28091550
Range28091650
Interquartile range (IQR)1014.3447

Descriptive statistics

Standard deviation9451132.8
Coefficient of variation (CV)2.2961538
Kurtosis1.8709714
Mean4116071.4
Median Absolute Deviation (MAD)77.907142
Skewness1.936778
Sum4.1160714 × 1010
Variance8.9323911 × 1013
MonotonicityNot monotonic
2024-03-13T22:15:39.394516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 41
 
0.4%
1015.462 2
 
< 0.1%
27831953.33 2
 
< 0.1%
1020.869989 2
 
< 0.1%
357.5889893 2
 
< 0.1%
357.6749878 2
 
< 0.1%
330.552002 2
 
< 0.1%
1017.834003 2
 
< 0.1%
355.1019897 2
 
< 0.1%
349.9609985 2
 
< 0.1%
Other values (9916) 9941
99.4%
ValueCountFrequency (%)
-99.9816079 1
< 0.1%
-99.98149172 1
< 0.1%
-99.98043398 1
< 0.1%
-99.9796587 1
< 0.1%
-99.97647134 1
< 0.1%
-99.97157078 1
< 0.1%
-99.97031358 1
< 0.1%
-99.96181622 1
< 0.1%
-99.9521603 1
< 0.1%
-99.9499282 1
< 0.1%
ValueCountFrequency (%)
28091550.0 1
< 0.1%
28084950.0 1
< 0.1%
28084212.5 1
< 0.1%
28083576.92 1
< 0.1%
28083150.0 1
< 0.1%
28082435.29 1
< 0.1%
28081492.86 1
< 0.1%
28079550.0 1
< 0.1%
28078804.76 1
< 0.1%
28078246.15 1
< 0.1%

Interactions

2024-03-13T22:15:37.236096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:15:36.552720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:15:36.851445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:15:37.427335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:15:36.648975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:15:36.960578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:15:37.603536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:15:36.751912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T22:15:37.097738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T22:15:39.488900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
센서항목코드센서항목센서 코드센서명센서값
센서항목코드1.0001.0000.0000.0000.708
센서항목1.0001.0000.0200.0150.637
센서 코드0.0000.0201.0001.0000.410
센서명0.0000.0151.0001.0000.522
센서값0.7080.6370.4100.5221.000
2024-03-13T22:15:39.594442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
센서명센서항목
센서명1.0000.007
센서항목0.0071.000
2024-03-13T22:15:39.746943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
센서항목코드센서 코드센서값센서항목센서명
센서항목코드1.0000.0200.6581.0000.006
센서 코드0.0201.000-0.0370.0071.000
센서값0.658-0.0371.0000.4470.270
센서항목1.0000.0070.4471.0000.007
센서명0.0061.0000.2700.0071.000

Missing values

2024-03-13T22:15:37.743679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:15:37.857574image/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

날짜 및 시간센서항목코드센서항목센서 코드센서명센서값
787562024-01-03 20:20:0028672풍향15기장군291.088013
624112024-01-03 06:10:008448습도10금정구62.277688
248672024-01-01 21:35:0061440기타1중구27843909.09
843962024-01-04 01:15:0028672풍향11강서구356.696014
708052024-01-03 13:25:008448습도2서구61.19678
779692024-01-03 19:40:008448습도11강서구54.266986
159642024-01-01 13:50:008192온도13수영구10.136234
250832024-01-01 21:45:0061440기타13수영구27765076.67
358752024-01-02 07:05:0028928풍속5부산진구0.488816
8802024-01-01 00:45:008192온도11강서구4.9345
날짜 및 시간센서항목코드센서항목센서 코드센서명센서값
534712024-01-02 22:20:008448습도9사하구54.57591
32782024-01-01 02:50:0029696기압11강서구1025.641992
198142024-01-01 17:10:0029696기압15기장군1017.236664
783092024-01-03 19:55:0061440기타5부산진구28014319.05
764622024-01-03 18:20:008192온도16동래구-99.932657
186452024-01-01 16:10:0061440기타12연제구27829481.25
531862024-01-02 22:10:0029696기압1중구1019.373322
29692024-01-01 02:30:008448습도8해운대구71.814503
703162024-01-03 13:00:0029696기압16동래구1015.836011
5892024-01-01 00:30:0028928풍속11강서구0.370476