Reflection:

Since last class, I have had time to reflect on my original idea and see if it was what I really wanted to do. Once I started working on it, I realized that it was taking way too much of time to pull the data that I needed. I wanted to use player stats from each game, but I could not find a dataset that had this information. So, while I was struggling to find a dataset, I actually found something that was a little more interesting. New Idea - I found a dataset of NBA player salaries and want to compare it to salaries of Women NBA players. I thought this would be really cool to actually see the difference and bring light to an important issue of wage gap. The information that I found was pretty surprising so hopefully anyone that uses this program will gain something from it. With that said, I had to adjust my milestones a little bit but the overall theme is the same. I was able to complete the milestones that I set for Tuesday. I think I will use this week to set up the different options under the main menu. My milestones aren’t as detailed as I would like, but I have noticed that I am able to work better this way because ideas come to me as I work so I will include more specific milestones as I get more involved with my project.

Tuesday Milestones (revised from 4/14 class):

• make men and women salaries into txt files
• Check dataset for error
• create main menu
• create numbered options for men, women, compare
• read through each data set

Thursday milestones:

• make functions to print out top 5 salaries for both men and women
• create specific options for users under each data set
• create user option to see salary based on specific team
• create dictionary with players and salaries
• format dictionary to make it readable to user (table/tab)

To be continued:

• allow user to see salary based on position
• create visualization
• handle bad user input
• create functionality to help option

Stretch - [ ] include regex - [ ] use cloud9