Final-Project-DataScience-Salaries-LAJ

Week 1 - Finding team members - Abi Akinlotan, Lien Lai, Jen Carden

Week 1 - Reasearch for Data - Used the Kaggle website and found the data set 'Data Science Salary 2021'

https://www.kaggle.com/nikhilbhathi/data-scientist-salary-us-glassdoor?select=data_cleaned_2021.csv

Week 2 - Evaluation Assessment Questions and Data Wrangling

We set up the scedules for Scrum Master for each week, and meeting times with our team memebers and Mentors.

Github was set up with repo folder. Each member forked to the repo and cloned the repo folder.

https://github.com/Kimmieli/Final-Project-DataScience-Salaries

What made this Dataset interesting?

We wanted to kmow how much being a Data Analyst would make, how much our potential salary would be, how different each level of Data Science education is, if location made a difference, and if our skill set would affect our salary?

Week 3 Analyzing our data

The programs used were

• Python
• R
• Tableau - https://public.tableau.com/views/HighlightJobtitle2/Interactivemapofjobtitle?:language=en-US&publish=yes&:display_count=n&:origin=viz_share_link

• Excel

Week 4 The Visuals and confirming assumptions

We started our power point and added the visuals that were created in Tableau, excel, and R.

Tableau links to view Visuals of all assumptions

• https://public.tableau.com/views/FinalProjectgraphs2/Ratingvs_Salary?:language=en-US&publish=yes&:display_count=n&:origin=viz_share_link
• https://public.tableau.com/shared/BFKRQC7PG?:display_count=n&:origin=viz_share_link
• https://public.tableau.com/views/AvgSalaryperState_16488652442770/Sheet12?:language=en-US&publish=yes&:display_count=n&:origin=viz_share_link