The mise en place (links!) for Data Visualization

Every chef has their mise en place, the necessary ingredients needed to make an incredible meal. The process for visualizing data is no different. To make a great “meal” you need the freshest ingredients, and the elements laid out to begin “cooking”. Here we’ve made a list of some of our favorite resources to help you get to the next level. The resources here range from people who are spearheading the dataviz world to links for exploring new datasets. These are excellent links and great resources that help cut down time and make your process much easier.

For finding datasets:

Data.World

It’s like WestWorld but with Data… just kidding! A social network for data people. Here you can follow an endless amount of open datasets that you can use for your own projects. Designed as a social media community.  You can follow people or simply search by browser or tags to find the dataset for you. This resource is fairly new so be on the lookout if it doesn’t have what you’re looking it surely will be made available soon.

Hint: There are datasets for virtually anything, if what you are looking for is not in data.world repository then data.world offers a simple trick to finding dataset in search engines.

In search engine (i.e. Google) type what you are looking for, then type filetype: and the 3-letter extension. Search in google should look something like this…

fifa filetype:csv

For cleaning datasets:

ExcelChat

It’s currently free as of date as ExcelChat is in beta mode. This is an excellent opportunity for those who are look to brush up on their excel skills to use this resource as you have experts on demand. Upload a file, tell them your issue, and have it sorted. Simply awesome.

For choosing chart type

Financial Times Visual Vocabulary

The visual vocabulary chart is an excellent guide that explains what chart type to choose based on the data at hand. This is an excellent resource for those who have their data but are looking for the best possible way to represent their information visually.

 For choosing color:

Palettable

We’ve mentioned this resource before and think it deserves a second mention. Palettable is a fun, interactive, guide for creating color swatches based on the combined knowledge of designers around the world. You select the color the like (or dislike) to create a color palette that matches your taste and style.

For inspiration:

Information is Beautiful

This website belongs to information designer and data journalist David McCandless and is an amazing resource for those looking to get inspired.

Data is Beautiful

The reddit community is blazing the field of data visualization and if you haven’t checked out this subreddit then you’re missing out! This community uploads new data visualization stories daily and you can filter by hot, new, or controversial. There is just about anything you can find in this community. It is also a great place to engage with other who are curious about data visualization.

Giorgia Luppi on Medium

Girogia Luppi and Stefanie Posavec started the “dear data” project and have changed the way we look at data. As co-founder of Accurat studio, Giorgia Luppi work pushes the boundaries of data visualization by making these more artistic. These give more the appearance of a Stravinsky painting than anything and is just one of the reasons why we love her work and the work they do at Accurat.

Thanks for reading! We are always looking to improve so write to us on our community if you have any questions or let us know what you think with some feedback!

 

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