Data Visualisation

Data Visualization                                                                                 Blog 1 Purpose of plotting; Drawing and saving following types of plots using Matplotlib – 1. line plot 2. bar graph  3. histogram  4. pie chart  5. frequency polygon  6. box plot and 7. scatter plot. Customizing plots:  color, style (dashed, dotted), width;  adding label, title, and legend in plots. Data Visualization (Graphical/ Visual representation of data / info using charts, graphs, maps etc.) Data Visualization Through Pyplot Matplotlib is one of the library packages available in python which is the most common and popular plotting library used to design and display 2D charts (mat – math , plot – graph/chart, lib – library) Introduced by – Sir J D Hunter     Pyplot is one of the modules/classes of Matplotlib  package which supports many  types of graphs. Advantage of Pyplot -  the placement of axis and the figure is done automatically with this module as compared