wk3_assignment
Name: Slobodan Milanko
chart #1 shows us a horizontal bar chart of attempted passes per player, within a conference. From here, we are able to mainly see which conferences make the most attempts (by getting a gist of the most dominant colors on the graph) and which players tend to pass the most.
chart #2 shows us a scatterplot of 2 variables (Passing TD and Passing Attempt), with conference mapped to color. This chart can show us the number of passing attempts made by a player, by tallying the TD count. From there, we can compare how many attempts are needed of players within a conferences, who have the same same Passing TD range.
chart #3 shows us a derived variable called Margin_PassA_To_PassTD. This variable takes the total number of attempted passes, and the total passes to TD's, (per player) and returns back a ratio. We color code each ratio by conference. The insight we can gain from this is that we are able to see the conferences with the best, Pass Attempt to Pass TD ratio. This can help us answer a question, such as: Out of all pass attempts, how many lead to a touchdown? By asking this question, we can see that conferences such as Big Ten had nearly a 11% ratio. We can also see that the majority of players per conference, maintained a 3%-7.5% ratio.
List of 2 comments that you have about using Tableau:
- Changing types of charts is really easy Tableau takes care of it for us, where we can select dropdown values.
- Adding a color by a specific value is also very easy Drag and drop features make it much more compelling to use, for non-technical people, as comapred to R, or D3
List of 3 things that you learned while working through the D3 tutorial:
- Applying stlyes to svg elements is similar to that of html elemnts, execpt it has no quotes.
- We cannot apply a z-index to svg elements, but we can draw them in order, and overlay as needed.
- We can apply opacity to svg elements, fill them with colors,and position them within the defined svg area.