Visualisation

Visualisation created by multiple modules of python or R. In my blogs:

I talked about how to create various plots with matplotlib module of python, such as scatter plot, treemap, venn diagram, area chart, radar chart, etc.
I explained how to read and understand box plot.
I applied multiple visualisations on different analytics topics, like climate change, real estate, COVID-19, etc.

Île-de-France is the most populous of the 18 regions of France. It is located in the north-central part of the country and often called the Région Parisienne ("Paris Region") because it includes th...

Paris is the capital and most populous city of France. Since the 17th century, Paris has been one of Europe's major centers of finance, diplomacy, commerce, fashion, science, and the arts. All thes...

Some time ago, I have successively analyzed the adverse reactions of Pfizer vaccine, Coronavac vaccine, AstraZeneca vaccine and Modena vaccine. Today we will compare the side effects of different v...

The Centers for Disease Control and Prevention (CDC) recently released data on the response and severity of people of different ages after being vaccinated with the Moderna COVID-19 vaccine. Today,...

The AstraZeneca Vaccine Trial Group at the University of Oxford has released data on the response and severity of people at different ages after being vaccinated with AstraZeneca’s COVID-19 vaccine...

Instituto Butantan announced the final results of the Phase III clinical trial of China's Coronavac COVID-19 vaccine in Brazil. Today, I will take you to learn more about the specific information.

The Centers for Disease Control and Prevention (CDC) recently released data on the response and severity of the population of different ages after being vaccinated with Pfizer-BioNTech. Today, I wi...

In this blog, I create a map to display how far is the nearest COVID-19 testing site for each community with python modules "folium" and "shapely".

This blog talks about how COVID-19 impacts people's working in France.

I extract one video's (Mojito Jay Chou) comments on YouTube with YouTube Data API and in this blog I will analyse them in different views.

Recently, lots of European countries started to stop the lockdown. Thus, I'm curious about the actual COVID-19 situation around the world. In this blog, I will talk about the worldwide COVID-19 pan...

At the same time of last month, China reached its peak of COVID-19 pandemic for the first stage. After March, the COVID-19's proliferation spread to other countries around the world, especially in ...

Matplotlib is a well-known python library used for data visualisation, we usually create static plots with it. But how if we create animated graph to present the evolution in terms of time? In this...

From the COVID-19's outbreak until 23 March, 378139 people are / have been infected all around the world. The number of people who have dead exceeds 16400. Nearly 190 countries have confirmed cases...

Since mid February, the situation of COVID-19 in China begins to be stable, but it propagates in the Rest of the World. In this blog, I'll talk about its propagation around the world.

This blog talks about the actual COVID-19 situation of France, the definition of confirmed cases in France and some predictions of confirmed cases in France.

The outbreak of the COVID-19 has been more than two months. The initial outbreak has greatly affected China and other Asian countries, and it has spread in other countries around the world in the p...

Paris is the capital and most populous city of France. Since the 17th century, Paris has been one of Europe's major centres of finance, diplomacy, commerce, fashion, science, and the arts. All thes...

Forests are the dominant terrestrial ecosystem of Earth, and are distributed around the globe. Forests account for 75% of the gross primary production of the Earth's biosphere, and contain 80% of t...

World energy consumption is the total energy produced and used by the entire human civilization. Typically measured per year, it involves all energy harnessed from every energy source applied towar...

A greenhouse gas (sometimes abbreviated GHG) is a gas that absorbs and emits radiant energy within the thermal infrared range. Greenhouse gases cause the greenhouse effect. In this blog, I will tal...

According to the United States Census Bureau the world's population was about 7.55 billion in 2019 and that the 7 billion number was surpassed on 12 March 2012. According to a separate estimate by ...

Paris is the capital and most populous city of France, and it also attracts lots of tourists, which makes me eager to dig out Airbnb locations in Paris. Where are the locations located? What are th...

In this challenge, we need to predict the sales price for each house.

In this challenge, we need to analyse what sorts of people were likely to survive. In particular, we also need to apply the tools of machine learning to predict which passengers survived the tragedy.

This blog talks about what is box plot, understanding box plot with help of probability density function (pdf), how to make a box plot by python module matplotlib and how to interprete a boxplot.

This blog specifies how to create/custom basic histogram and cumulative histogram with matplotlib in Python and their use cases.

This blog specifies how to create/custom basic lollipop plot and vertical lollipop plot with matplotlib in Python and their use cases.

This blog specifies how to create basic word cloud, word cloud in specific shape with matplotlib in Python and their use cases.

This blog specifies how to create simple radar charts, multiple area charts with matplotlib in Python and their use cases.

This blog specifies how to create simple area charts, multiple area charts, stacked area charts and 100% stacked area charts with matplotlib in Python, and their use cases.

This blog specifies how to create venn diagram with matplotlib in Python, and its use case.

This blog specifies how to create treemap with matplotlib in Python, and its use case.

This blog specifies how to create scatter plot, connected scatter plot and bubble chart with matplotlib in Python.

This blog specifies how to create pie chart with value labels, donut chart and nested pie chart, and how to adjust labels' size and position with matplotlib in Python.

This blog specifies how to create line chart with single line, line chart with multiple lines and add values' label on the chart with matplotlib in Python.

This blog specifies how to create simple bar chart, grouped bar chart and stacked bar chart with matplotlib in Python.

In this blog, I will talk about some basic elements for creating a graph/graphs by package matplotlib.pyplot. Figures & Axes & Axis The figure can be seen as the canvas, on which all drawi...

This blog reviews general methods for working with graphs. We’ll begin with how to create and save graphs, then talk about how to modify the features of graph. Creating and saving graphs Creating...