Tag: Visualizations

Building Interactive Data Visualizations in Python: An Introduction to Plotly

Data visualization is one of the most important tasks for Data Professionals. It helps us, in fact, understand the data and to ask more questions for further investigations. But data visualization is not only a task we have to conclude in the Exploratory Data Analysis phase. We may also need to p...

Embracing the Art of Narrative Data Visualization

Data visualization is a powerful tool to represent complex data to readers. Taking it a step further; narrative visualization allows us to craft data stories that transform information into a series of compelling scenes. This approach tailors the experience for the audience. Narrative visualizati...

How To Prepare Your Data For Visualizations

Want to get started on your next Data Visualization project? Start off by getting friendly with Data Cleaning. Data Cleaning is a vital step in any data pipeline, transforming raw, ‘dirty’ data inputs into those that are more reliable, relevant and concise. Data preparation tools such as...

Analyzing Unemployment Rates in Barcelona with Interactive Visualizations

The financial crisis of 2008 had a significant impact on the Spanish economy, particularly in terms of unemployment. However, from 2012, Spain was undergoing a slow but continuous economic recovery. The coronavirus pandemic has ended with a growth that seemed unstoppable, increasing again unemployme...

4 Smart Visualizations for Supply Chain Descriptive Analytics

Supply chain Analytics can be defined as a set of tools and techniques your organization should use to get supply-chain operational insights from data. In a previous article, I defined the four types of Supply Chain Analytics that answer different operational questions.   4 Qu...

5 Ways to Enhance Your GGPLOT Visualizations

One way to improve your ggplot visualizations is by leveraging themes. Themes provide a consistent and professional appearance to your plots by adjusting elements such as grid lines, axis labels, and backgrounds. By choosing a theme that aligns with your visualization’s purpose, you can make y...