Plotting different variables: Add two lines and second y-axis
When drawing a time-series plot, a quantitative variable is required. The plotting of time series objects is most likely one of the steps of the analysis of time-series data. If …
Course: Data Visualisation with Python: Matplotlib and Visual Analysis
Complex charts
3-D plots Ask an expert and they would always suggest that you use 3-D plots sparingly – and that is correct! Generally, 3-D plots are only used in scenarios where …
Complex relationships
Data caused a shift Today, every manager, analyst, engineer, or even an educator needs to have the basic skill of visual communication. This shift is because of the ever-rising transfer …
How to make charts in Excel
Excel is a very powerful tool that can be used for a range of business functions. This software is useful for storing data sets, deductions, and calculations by feeding formulas, …
What is data visualisation?
Data visualisation is a way to communicate data through clear, interpretable diagrams and charts. To make this happen, you convert raw data into readable forms. There are two ways to …
Scatter plots in Matplotlib
Scatter plots are drawn with the Axes.scatter method. Similar to the plot method, they take at least two arguments, the x- and y-positions of the data points, as lists, arrays, …
Bar charts in Matplotlib
If you noticed, in all the charts so far, we’ve been plotting line charts using Matplotlib. What about other types of charts? For the purpose of quantitative comparisons, let us …
Annotating Time Series Data
So far we have learned about the process of date locator and formatters and have also tried plotting time series data on Matplotlib. Let’s see how to annotate the data …
Explanatory or exploratory
When to use what? This does not necessarily have a black and white answer. As with so much data around us, from so many sources (we covered this in part …
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Data Visualisation with Python: Matplotlib and Visual Analysis