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There are several free and user-friendly tools available for creating data visualizations. Here are some of the easiest options:

1. Google Data Studio: Google Data Studio is a powerful and free data visualization tool. It allows you to connect to various data sources, create interactive dashboards, and design custom visualizations. The drag-and-drop interface makes it easy to build and customize your visualizations without any coding knowledge.

2. Tableau Public: Tableau Public offers a free version of its data visualization software. It provides a range of visualization options and allows you to create interactive dashboards and stories. Tableau Public is particularly useful for exploring and sharing data visualizations with the wider public.

3. Microsoft Power BI: Microsoft Power BI offers a free version that enables you to create interactive and visually appealing data visualizations. It supports various data sources, offers a range of visualization options, and provides advanced features for data modeling and analysis.

4. Chart.js: Chart.js is a popular JavaScript library for creating simple and responsive data visualizations. It provides a wide range of chart types, such as bar charts, line charts, and pie charts, and offers customization options. It is easy to use and requires basic JavaScript and HTML knowledge.

5. RAWGraphs: RAWGraphs is an open-source data visualization tool that focuses on creating custom visualizations from raw data. It provides a simple interface where you can upload your data and choose from various visualization types. It is particularly useful for creating unique and specialized visualizations.

6. Infogram: Infogram offers a free plan that allows you to create interactive charts, infographics, and maps. It provides a user-friendly interface with drag-and-drop functionality, making it easy to create visually appealing data visualizations without coding.

These tools offer different features and levels of customization, so you can choose the one that best fits your requirements and data visualization needs. Experiment with a few options to find the tool that aligns with your data and desired visual presentation.