A visualization for displaying statistical distribution of numeric data is usually a histogram or box plot if there is interest in its modes, and outliers. A visualization for categorical data ...

Learn about the best visualization methods for different data types, such as categorical, ordinal, interval, and ratio data, using charts and maps.

Before selecting a chart type, you must determine the data type, which can be divided into four categories: quantitative, categorical, temporal, and spatial. Quantitative data refers to numerical ...

Before moving to the types of graphs, it is a most important thing to understand the nature of your data. Consider the following aspects: 1. Data Type: Is your data categorical or numerical?

If the data type is numeric, box-and-whisker plots and line charts are good options to visualize those numeric variables. 3. Less is more in data visualization.

##Project Objective:- To gain actionable insights from automotive company data using data analysis and visualization techniques in Python. ##Dataset:- The dataset used in this project is named ...