The Bible is the world’s best-selling and most widely distributed book. Its name comes from the Koine Greek “Ta Biblia”, which means “the books”. It’s a collection of 66 books written by around 40 authors over approximately 1,500 years.
Originally there was no division of chapters and verses. But in order to facilitate studying and referencing specific parts of the text, these divisions were developed. In around 1227, Stephen Langton, an Archbishop of Canterbury, divided the Bible in chapters. In 1553, Robert Estienne published the first Bible with his verse system, which is the one used until today.
Cross references can be very useful when studying the Bible, they help the reader to find related verses, be it for being a direct quote, a paraphrase or just for sharing the same theme. These references can be expressed as a Complex Network, a graph with non-trivial topological features. …
In order to have a better visualization of your data, you may want to gather everything in one place, creating a dashboard. Plotly Express is a tool that will let you to create awesome interactive graphs easily and, with Plotly Dash, you can use them to compose a dashboard.
In this article, I’ll show you how to create two graphs and put them together in a simple dashboard. We’ll be using COVID-19 data around the world as an example.
The first graph we’ll create is a scatter plot on a world map showing the evolution of cases through the weeks of 2020. The data on COVID-19 worldwide is from Our World in Data COVID-19 dataset. …
WhatsApp is a messaging app created by Brian Acton and Jan Koum in 2009. Currently, it’s owned by Facebook, that acquired the app in 2014. In Brazil, WhatsApp is almost ubiquitous, installed on 99% of Brazilian smartphones.
Last month, Mark Zuckerberg announced that WhatsApp is delivering roughly 100 billion messages a day. With this huge amount of data being created everyday, how can we structure everything in order to extract insights from it?
There’s a interesting GitHub repository by kurasaiteja that shows a path on how to achieve this objective. In this article, I’ll be presenting what you can find in the repository code, as well as some modifications I made when analyzing a group chat of my graduation course. …
How much and how to tax is a subject that divides opinions. In a world where many starve to death, wealth tax seems to be a viable option to decrease social inequality and distribute the income for many people.
In this article, we’ll visualize how taxes on goods and services correlates with social inequality.
Let’s start gathering the data, we’ll get them from Global Revenue Statistics Database and Standardized World Income Inequality Database. The first step is to create a dataframe with data from both databases.
import pandas as pd
import numpy as np
import matplotlib.pyplot as pltglobal_revenue = pd.read_csv('global_revenue.csv')
swiid = pd.read_csv('swiid.csv') …
An important way to prevent the spread of COVID-19 is social distancing. This strategy was followed all around the world, Brazil included. However, the distancing is being weakened over time, which made me think: do states with better education follow the distancing longer?
At first, this question may look nonsense, but having in mind that the poor knowledge of how viruses work and the spread of fake news make people care less about preventive measures, maybe states that offer a better education will have more aware people.
Of course things aren’t so simple, there are many other aspects that influence the amount of people who stay at home, some of them are not even optional. …