Create Hand Drawn Charts In Excel Using Python (Fast & Easy) | Cutecharts Tutorial 📊
Introduction
Creating visually appealing charts can often be a challenge, but with the right tools, it becomes a fun and engaging process. In this post, I will guide you through the steps to create hand-drawn or comic-style charts in Excel using the Python library, Cutecharts. This technique not only adds a unique flair to your data presentations but also makes them more relatable and engaging.
Install Requirements
Before diving into chart creation, it’s essential to set up your environment. You will need to install Python and the Cutecharts library. Make sure Python is installed on your machine, and then you can install Cutecharts using pip. This is a straightforward process that can be done via the command line:
Line Chart
To start with, let’s create a basic line chart. This chart will visualize sales data over time. I will demonstrate how to set up the data in Excel, import it into Python, and use Cutecharts to generate a hand-drawn style line chart. The process involves specifying your chart title, labels, and data series.
Bar Chart
Next, we’ll create a bar chart. This type of chart is perfect for comparing different categories, such as sales across various products. Just like with the line chart, you will set up your data in Excel, specify your labels, and use Cutecharts to render the chart in a hand-drawn style.
Pie / Donut Chart
Pie and donut charts can effectively display proportions and percentages. In this section, I will show you how to create a pie or donut chart with Cutecharts. You will learn how to format the chart to highlight specific segments and make it visually appealing.
Cutecharts Github
For those interested in exploring more about Cutecharts, I highly recommend checking out the official Github repository. It contains valuable resources, documentation, and examples that can help you dive deeper into customizing your charts and utilizing various features of the library.
Outro
In conclusion, creating hand-drawn charts in Excel with Python using the Cutecharts library is a straightforward and enjoyable process. By following the steps outlined in this post, you can transform your data visualizations into engaging and artistic representations. Whether you’re presenting to colleagues or sharing insights with clients, these unique charts can leave a lasting impression.
