Getting Started

We’re so pumped you’ve decided to try Vizall for your data needs! We really hope our product saves you time and gives you the confidence to start more projects in the future.

Depending on what shape your data is in to begin with will impact how long it takes Vizall to clean it all up and get it into a squeeky clean state ready for embed.

Here we go!

Step 1: Create an account with Vizall

On the navigation bar along the top right corner of the website click on Create Account to launch the Vizall web app in a new tab. Fill in your details and you’re good to go.

Step 2: Upload a spreadsheet

If you’re unsure how to make your spreadsheet into a csv format go to this quick tutorial, or upload a Google Sheet.

Select “Create Area Map” or “Create Chart” and so on if you know what the end goal is already, then Vizall will step you through the data cleaner first. Alternatively, hit “Upload Data” to import your csv, Google Sheet or Excel file to begin with the data cleaner and select a visualisation type later.

Step 3: Clean your data

Your newly uploaded and it has spelling errors, the dates are all wrong or the numbers are formatted wrong (if you’re unlucky maybe only some of the above!). This is where Vizall really comes in handy. Follow the prompts and have a go at getting through the data cleaning process, but if you have stuck, here’s a walkthrough.


Step 4: Create your graphic

You can pick from an area or point map, or one of the simple charts. Remember if you don’t want your data in a chart of some kind you can also pick the option to download your now sparkly dataset to do with what you please. You can toggle the tutorial on Vizall for some help getting started.

Step 5: Embed in a story

This is it! You’ve made your first killer map or chart using Vizall and you’re ready to see it in a story! Click share in the top right corner, publish and copy the link to upload into Kurator to create a CAPI ID. If you don’t know how to do that it’s worth asking the digital desk for a hand so you can quickly get it into the system next time.

Before you hit that publish button here’s a list of questions to help keep you out of trouble.

  • Have you triple checked the data?
  • Did Vizall show you any strange outliers? If you remove these, make sure you make a disclaimer on your map the data excludes outliers
  • When you’re going through the cleaned data in Vizall, how was the spotcheck? If there were any errors at all this should raise alarm bells. Once it’s fixed, what are the similar cases that are wrong? If you don’t know the reason for the error, this might mean you have to manually go through to conduct a check.
  • If you chose to exclude certain datapoints (for example, remove populations under 100 people, or xxx, or yyy) ask yourself earnestly, is this data removal fair, or has it been manipulated to make the data prove my point? This is called massaging the data and it’s a big no-no. If you’d like to read more about data no-no’s read here (link).

And remember – if you ever get really stuck, come across a cleaning limitation or if you stumble across a bug, please email us and we’ll always do our best to help you out. Our team is constantly improving Vizall and we’re so excited to have you on board and watch as we improve and expand our services.

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