Visualizing land use with Seaborn

DataFrame filtering & subsetting. Dictionary from lists DataFrame.query() Relational plots using .relplot() Categorical plots using .catplot() Distribution, swarm and scatterplots Ensuring global food security is number 2 of the 17 UN Sustainable development Goals that are part of the 2030 Agenda for Sustainable Development. The worlds population is currently 7.8 billion, 60 years ago it… Read More Visualizing land use with Seaborn

September 1, 2020August 11, 2020 Imparo Analytics1 Comment

Raw Materials & Raw Data, II

Exploratory Data Analysis Data visualization Matplotlib Tidy Data In part I we took raw csv files, merged, cleaned and shaped them. Now we’re ready for the fun part, exploratory data analysis (EDA). Using different data visualizations we can start to answer questions such as where is copper mined? How much is mined? and reveal other… Read More Raw Materials & Raw Data, II

August 4, 2020August 12, 2020 Imparo Analytics1 Comment

IMPARO Analytics

Earth Data Science

Category: Exploratory Data Analysis

Visualizing land use with Seaborn

Raw Materials & Raw Data, II