Data Visualization Python. It is user friendly and particularly suitable for beginners. Likewise python has various libraries for visualization of data so that user can understand the dataset in very detailed way and analyze it properly.
Python offers multiple great graphing libraries that come packed with lots of different features. Although there are various plots that can be created using matplotlib in python we will discuss the most used plots and figures for data visualization. Data visualization is the discipline of trying to understand data by placing it in a visual context so that patterns trends and correlations that might not otherwise be detected can be exposed.
Various techniques have been developed for presenting data visually but in this course we will be using several data visualization libraries in python namely matplotlib seaborn and folium.
However setting up the data parameters figures and plotting can get quite messy and tedious to do every time you do a new project. Data visualization is the discipline of trying to understand data by placing it in a visual context so that patterns trends and correlations that might not otherwise be detected can be exposed. Each library of visualization has its own specification. As far as data science is concerned python is one of the best coding languages for data visualization due to the following reasons.
