Data Analysis Process

It's usually a good idea to follow a five-step process when working with raw data:

1. Understand the problem: Begin by clearly defining the problem to solve, identifying the business objective, and determining what kind of insight is required to obtain (this is the end goal after all).
2. Collect the data: Once the objective is clear, gather the data. This data can come from databases, APIs, spreadsheets, or even third-party sources.
3. Clean and organize the data: We'll want to clean the data by removing duplicates, handling absent values, and standardizing formats.
4. Explore the data through visualizations: With the clean data, start playing around with different visualizations to explore trends, distributions, and relationships.
5. Draw conclusions based on findings: Finally, analyze the data in the context of the original problem and use the results to draw insights.