Plots Creation using Matplotlib Python

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Add the data in the CSV file to Pandas data frame, plot the graph and set marker type and color.

Create the boxplot, set labels, change font size, add grid lines and legends, and finally save the graph as an image.

Clock1 hour
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

By the end of this project, you will be able to add the data in the CSV file to Pandas data frame, plot the graph, and set marker type and color. You will also be able to apply labels, change font size, add grid lines and legends. Finally, you will be able to create the boxplot and save the graph as an image using the matplotlib and seaborn libraries, which are the most important libraries in python that are used for Data Visualization. You can create bar-plots, scatter-plots, histograms, and a lot more with them. This guided project is for people in the field of data and data analysis. people who want to learn python and Pandas library. It provides you with the important steps to be a data analyst. Moreover, it equips you with the knowledge of python's native data structures

Habilidades que desarrollarás

  • Python Programming
  • Plots
  • Data Analysis
  • Matplotlib
  • Data Visualization (DataViz)

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. You will be able to add the data in the CSV file to Pandas data frame.

  2. You will be able to plot the graph and set marker type and color.

  3. You will be able to set labels, change font size and add grid lines and legends.

  4. You will be able to create the boxplot and save the graph as an image.

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

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