To complete this assignment follow these steps:

• Start your Jupyter Notebooks server
• Open Jupyter Notebooks in a browser
• Download information about data positions and associated salaries for several countries positions (Data_Position_Salary_Survey_Responses.csv) and upload the file to your VM.
• Clean the SalaryUSD data
  • Create a method function called cleanData that takes in a salary value and removes all punctuation (commas, dollar signs, spaces etc.) and converts the value to an integer
  • Use a lambda expression and df.apply to clean the 'SalaryUSD' column of your dataframe.
• Using the groupby, and plot methods on the pandas Dataframe libraries, to create graphs below. Ensure that all labels, titles, and numeric values match those given below.

Note: You can use the pyplot libraries in Matplotlib but should NOT use the following methods from the Matplotlib libraries (plot, scatter, bar, pie). Instead you should use the 'kind' parameter available in the pandas plot method (e.g., df.plot(kind='pie') )

Note: There are many ways to complete this assignment. You may want to research how to use some of the following pandas methods to parse and organize the data.

• sort_values
• tail, head
• loc, iloc
• isin

1. A line graph that shows changes in salaries for those working on major databases between 2017-2019

2. A bar chart that shows the average salaries for data positions for the top 10 countries

3. A pie chart showing the top 4 databases (excluding Oracle and Microsoft SQL Server) and what percent of positions recorded were using each for 2017-2019.Upload your Jupyter notebook to fulfill this assignment.

1/5/17 5:10	200,000.00	United States	Not Asked	Microsoft SQL Server	10	MySQL/MariaDB	Full time employee	DBA
1/5/17 5:26	61515	United Kingdom	Not Asked	Microsoft SQL Server	15	Oracle, PostgreSQL	Full time employee	DBA
1/5/17 5:32	95000	Germany	Not Asked	Microsoft SQL Server	5	Oracle, MySQL/MariaDB, Informix	Full time employee	Other
1/5/17 5:33	56000	United Kingdom	Not Asked	Microsoft SQL Server	6		Full time employee	DBA
1/5/17 5:34	35000	France	Not Asked	Microsoft SQL Server	10	Oracle	Full time employee of a consulting/contracting company	DBA
1/5/17 6:05	215000	United Kingdom	Not Asked	Microsoft SQL Server	15		Independent or freelancer or company owner	DBA
1/5/17 6:09	75000	Germany	Not Asked	Microsoft SQL Server	16	Oracle	Full time employee	DBA
1/5/17 6:34	47000	Netherlands	Not Asked	Microsoft SQL Server	4	Oracle	Full time employee	DBA
1/5/17 6:43	41000	United Kingdom	Not Asked	Microsoft SQL Server	3	MySQL/MariaDB, PostgreSQL, Amazon RDS (any flavor)	Full time employee	Developer: App code (C#, JS, etc)