An application that analyzes more than 20,000 data points and represents them in multiple ways, including histograms, box plots, deviations, and other graphical representations. The application highlights the data cleaning process, including the identification and removal of outliers, missing data, and other anomalies that may affect the accuracy of the analysis. The application provides a comprehensive set of tools for exploring and visualizing the data, allowing users to quickly identify trends, patterns, and correlations. The use of different graphical representations makes it easy for users to understand and interpret the data, making it a valuable tool for researchers, analysts, and data scientists. Overall, the application provides a powerful and user-friendly way to analyze and understand large and complex datasets.
SdelvalleCol/InsightIQ
An application that analyzes more than 20,000 data points and represents them in multiple ways, including histograms, box plots, deviations, and other graphical representations.
Python