meysamabl

Link to the D3 random barchart generation : http://bl.ocks.org/meysamabl/a949c2c7876b19723bfa

Link to the web page: Click here

Embedding Bar chart from R:

Embedding R code in Markdown:

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Q1) scatterplot matrix of passing yards, passing TDs, passer rating, rushing yards, and rushing TDs

# read data from csv file
originalData <- read.csv("path/to/passing-stats-2014.csv")

# getting the subset of the data
q1Data <- subset(originalData, select= c(Passing.Yards, Passing.TD, Rate, Rushing.Yards, Rushing.TD))

# generate Scatterplot
pairs(q1Data)

meysamabl

Name: Meysam Abolghasemi

Part 1 - Tableau

Comments about working with Tableau:

1. It is much easier to work with Tableau compared to R and D3.
2. Although Tableau has all the functionalities pre-defined for you, but it is obvious you are limited to these function and you don't have the flexibility to implement very complex idioms.

Graph 1: bar chart of passing yards per player (best displayed as a horizontal bar chart), with conference mapped to color

meysamabl

Name: Meysam Abolghasemi

Three things that I have learnt:

1. How to generate scatterplot with scale and x and y axis.
   
2. How to animate the objects using d3 transition.
   
3. How to create path in SVG.

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Insight gained: You can easily recognize the connected states and how they are divided into regions by encoding colors.

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Insight gained: you can see the state adjacency as well as find the path distance between each node(state).

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ReadMe file for VI8

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Read me file for VI9