Difference between revisions of "ISSS608 2017-18 T3 Assign MENG XIANGYI Data Preparation"

From Visual Analytics and Applications
Jump to navigation Jump to search
Line 23: Line 23:
 
|   
 
|   
 
|}
 
|}
==<font size="5"><font color="#000000">'''Tools'''</font></font>==
+
 
{| class="wikitable" style="background-color:#FFFFFF;" width="100%"
 
|-
 
|
 
*Python
 
*Tableau
 
|-
 
|}
 
<!-- END OF Tools-->
 
 
==<font size="5"><font color="#000000">'''Data preparation'''</font></font>==
 
==<font size="5"><font color="#000000">'''Data preparation'''</font></font>==
 
{| class="wikitable" style="background-color:#FFFFFF;" width="100%"
 
{| class="wikitable" style="background-color:#FFFFFF;" width="100%"

Revision as of 22:18, 8 July 2018

VAST Challenge 2018:Mini-Challenge 2: Like a Duck to Water

Background

Data Preparation& Methodology

Visualizations Analysis

Conclusion

 

Data preparation

  • From the chemical units of measure file, we see some chemical units have unrecognizable value, after we check it should be replace in µg/l.

  002.JPG

  • In order to show geographical visualization, we can use the X-coordinate and Y-coordinate get from the given waterway picture, use the annotate point function from Tableau to get the data of these 10 locations.

  004.JPG 003.JPG

  • Variable Exploration

Value

Measured value for the chemical or property in this record We see that values are represented on different scales according to the 'Unit' so it Range from 0 to 37959.28 with a mean of 24.02. it is not easy to do normalization or transformation, but it would be a problem when doing analysis.

  005.png

Location

Name of the location sample was taken from. 10 different locations - Achara, Boonsri, Busarakhan, Chai, Decha, Kannika, Kohsoom, Sakda, Somchair, Tansanee. From the picture below, we can see the total number of readings collected at each location, it indicates a lack of consistency in collection of the chemical samples of different locations.

  006.png

Measure

  008.png 009.png

Methodology