Data analysis is a crucial aspect of every sector, allowing organizations to make informed decisions and improve efficiency. The process involves data collection, processing, cleaning, analysis, and presentation. There are various types of data analysis, including descriptive, inferential, and predictive analysis. Tools such as R, Python, Tableau, and Power BI can be used to analyze data and communicate findings.

Data analysis has a positive impact on businesses, enabling better decision-making, improving employee performance evaluation, and providing insights into market trends. It also enables the formation of new products and services that align with consumer needs.

Source: https://dev.to/amolo_awuor/data-analysis-1jjn