![]() I’d encourage you to check this site out as it is a rich resource for anyone looking to visualize data.ĭifferent charting libraries will have different requirements for how they need their data presented. Data.world refers to itself as a data ‘catalogue’ and allows you to explore other users’ uploaded data as well as host your own. This dataset is available at Data.world which is a website dedicated to datasets. Īs mentioned above, I will be demonstrating how to build a scatter plot by visualizing the Cat VS Dog Popularity in US dataset. The base module contains the charting library while the data-adapter module will allow me to load my data. These scripts will depend on which library I use and in this particular case I need to add An圜hart’s ‘base’ and ‘data-adapter’ modules. ![]() Because I am using a JavaScript library to help me build this chart I need to include the necessary scripts. (You can easily change this to suit your own use case). I also include style properties to ensure the div fills the entire page. I give this div the id ‘container’ so I can easily reference it later. I create a blank page and then include a div element for the chart. The first thing I need to do is set up my html page. Plus, their documentation really holds your hand through the entire process. It’s really easy to get something up quickly and with little coding knowledge, however there is also a lot of room for customization. I think An圜hart is perfect for newcomers to data visualizations and is good for both newbies to more intermediate coders. This dataset contains the percentage of homes with dogs and cats for each US state.īuilding data visualizations can often be an overcomplicated endeavour (just ask anyone who uses Matplotlib), but if you use the right tools it can be quick and painless! There are many JavaScript libraries out there which can help you do this, they each have their own advantages, disadvantages and choosing the right one really depends on your use case and coding ability.įor this tutorial I have chosen to use An圜hart JavaScript library. In this tutorial, I will teach you how to build your very own interactive scatter plot charts using JavaScript.Įver wondered whether the population of the United States of America were dog people? Well, you’re about to find out! To help you learn more about building scatter plots I will be using the Cat vs Dog Popularity in US dataset. They are one of the most commonly used data visualization techniques and are a must have for your data visualization arsenal! These charts let you investigate the relationship between two variables, detect outliers in the data set as well as detect trends. Data is represented as points on a Cartesian plane where the x and y coordinate of each point represents a variable. Scatter plots are a great way to visualize data.
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