Difference between revisions of "ISSS608 2017-18 T3 Assign VISHALI REDDY NALLA - Data Preparation"

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[[ISSS608_2017-18_T3_Assign_Vishali_Reddy_Nalla| <font color="#343009"> Introduction </font>]]
 
[[ISSS608_2017-18_T3_Assign_Vishali_Reddy_Nalla| <font color="#343009"> Introduction </font>]]
  
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[[ISSS608_2017-18_T3_Assign_VISHALI_REDDY_NALLA  - Data Preparation| <font color="#343009"><big><big>Data Preparation</big></big></font>]]
 
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The dataset is downloaded from: [http://www.vacommunity.org/VAST+Challenge+2018 The Visual Analytics Science and Technology (VAST) Challenge]
 
The dataset is downloaded from: [http://www.vacommunity.org/VAST+Challenge+2018 The Visual Analytics Science and Technology (VAST) Challenge]
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=2. Data Overview =
 
=2. Data Overview =

Latest revision as of 23:17, 8 July 2018

Picture1 Vi.jpg VAST Mini Challenge 2 – Like a Duck to Water

Introduction

Data Preparation

Visualisations

Insights

Conclusion

Assignment Dropbox

 

1. Data Source

The dataset is downloaded from: The Visual Analytics Science and Technology (VAST) Challenge


2. Data Overview

Boonsong Lekagul waterways Readings Data :

The dataset consists of readings of 106 chemicals measured from 1998 – 2016 which are collected from water sensors at 10 locations around the wildlife preserve.

Attributes in this dataset

1) Unique Reading ID

2) Value of the Chemical measure

3) Location where the chemical reading is collected

4) Sample date of chemical reading

5) Measure is the Chemical/Parameter is reading is measured from the water sensor of the waterways

Total number of chemical readings collected over years 1998-2016 are 1,36,825

Chemical Units of Measures Data: This dataset gives the units of all the 106 chemical measures for which readings where taken through water sensors.

Waterways Map in JPG format : The Map points the locations where the chemical measures are taken and also marks the dumping site

3. Data Preparation

Grouping Chemicals :

To study the contamination of water based on recordings of 106 chemicals, I have grouped Chemicals together based on their common chemical properties, so as to make visualisations more clear to comprehend. So, I formed 12 chemical groups as below and assigned the chemicals to respective groups in the Chemical units of Measures Data File.

Picture4 Vi.png

Picture6 Vi.png

Picture5 Vi.png

Waterways Map :

To create visualisations on the waterways image, we need to a source to plot it X and Y Coordinated in Tableau. As the data source files doesn’t have any X & Y coordinates, I have manually created arbitrary X and Y coordinates of the locations with respect to the Waterways Map Image.

Step 1 – Created a new Excel Sheet with sample boundaries and Location names and assigned coordinates to Boundary Locations which align with Waterways Map picture DataPrep-Vi1.png

Step 2 – Load the Excel sheet into new Tableau Workbook and insert the XCoord & YCoord to Columns and Rows and turn off the Aggregate measures in Analysis. Then add Background Image as shown below

DataPrep Vi2.png DataPrep-Vi3.png

Step 3 – Now that background image is aligned with the coordinates, to get the arbitrary coordinates of the locations, I have used Annotate to mark each point of the measure and get respective coordinates

Step 4 – Once I got all the coordinates of the locations, I manually filled the XCoord & YCoord fields in the Locations Excel Sheet

Data Joining :

I used Joins in Tableau to join all the three data sheets as below.

DataPrep V4.png

Data Source sheet after joining is as shown below -

DataPrep V5.png