The goal of this project is to provide people in general, with statistical information on the vaccination process in Peru, through dynamic visualizations.

The data set can be downloaded at “Vacunación contra COVID — 19 [Ministerio de Salud — MINSA]”.

You can see the web app here

A virtual environment is a tool that helps to keep dependencies required by different projects separate by creating isolated python virtual environments for them. Virtual Environment should be used whenever you work on any Python based project. It is generally good to have one new virtual environment for every Python based project you work on.

(Pop!_OS 20.10)

Welcome, the following post is aimed especially at those who are becoming out on Linux.

The first thing you should do is install the following module:

sudo apt install python3-venv

Step 1

Create your project folder

# TERMINALcd Documents/
mkdir python_project

Welcome, in the next post we will do an EDA and data visualization with plotly (you can download the dataset here), we will also create a Dashboard using Streamlit and finally, we will deploy it through Heroku.

Before starting, we intend to answer the following questions.

  • What is the percentage of free video games?
  • Which video game category has the most overall ratings?
  • What category of video games are the most installed?
  • What are the best video games according to google play?

Create virtual environment

Linux (Pop!_OS 20.10) I’m here

# Install
sudo apt install python3-venv
# Active environment
. venv/bin/activate

Windows 10

When you want to start your project, you can use the data sets offered by sites like Kaggle, but you can get data using web scraping.

You want to extract a certain number of posts from each company and then apply Machine learning techniques.

An implementation of this code can be directly found at my GitHub page here:

What information you want to scrape from the website

  1. Name
  2. Date
  3. Post

Note: You could also add the “Number of posts”, in this case we will.

Inspect the page

Press F12 or right-click on the page then go to inspect.

Anthony Villazana Yllesca

Aspiring to become a Data Scientist | Data Analyst

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