Mr. Isma Redha from it gave us an introduction to data visualization using Microsoft Power BI in industrial talk #7. We learned how to show data in a variety of ways, including trends, outliers, and correlations, to gain unique insights. We must also comprehend the many forms of data, such as quantitative, discrete, continuous, and categorical, as well as their relationships. Nominal comparison, time series, correlation, ranking, deviation, distribution, and part-to-whole links are among the seven types of data relationships we studied about. Bar charts, pie charts, line charts, scatterplot charts, bubble charts, and heat map variations are the most popular chart forms. Mr. Isma also demonstrated how to import data into Microsoft Power BI and use it to analyze and visualize it in various ways, as well as how to submit our report to Power BI. We discovered that data may be studied for a variety of goals, including education, the environment, and health.
