Introduction to a new Map Type ‘Standard’ in Exploratory

Kan Nishida
learn data science
Published in
5 min readJun 13, 2020

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We have added a new map type called ‘Standard’ with Exploratory v6.0.

It’s very much like the old ‘Map — Area’ type for those who have used Exploratory v5.x user before.

This new map type has 2 great advantages over the existing ‘Map — Area’ type.

First, it makes the column assignment much easier by supporting various types of location codes/names (e.g. codes, country names, etc.).

Another cool thing is that you can switch between the Circle mode and the Area mode. Here’s the Area mode.

Let’s quickly take a look at how it works for more details with COVID-19 data.

Sample Data

I’m going to use this COVID-19 data that contains the infected case and death numbers per country.

You can download it from this link, or directly import the data from the Data Catalog.

Creating a Map

To visualize the data on Map, you can select ‘Map — Standard’.

This data is about world countries, so you want to select the ‘World Countries’ Map.

And, assign the ‘Country’ column to ‘Country’ and the ‘Cases’ column to ‘Color By’.

The default is ‘Circle’ type so each country is now shown as a circle with the color based on the number of infected cases.

Note that I have changed the color palette and changed the binning option to ‘Equal Frequency’ so that each color bin would have the same number of countries.

More Ways to Visualize — Circle vs. Area

You can change the type to ‘Area’, which color each county area based on the number of cases.

One thing to note about the Area type.

Sometimes, it can confuse you because of the difference in the territory sizes of the countries. For example, bigger countries like the United States, Canada, Russia jump into your eyes and might leave you in impression that they have really large number of cases while you wouldn’t even notice small countries like Belgium, Singapore, etc. even when their numbers are high.

In general, the ‘Circle’ type works better because you can compare the countries based on the color while the size stays the same.

And, of course, you can use the Size to visualize another measure. In this case, I’m assigning the ‘Death’ column to show the number of deaths as the circle size.

Location Column Assignment Got Much Easier

The country data typically comes in different ways.

For example, the country can be a name (e.g. The United States), ISO 2 letters code (e.g. US), ISO 3 letters code (USA), etc.

And even for the name, it can be various names for the same one country. Fo example, US can be the United States, U.S., United States, United States of America, etc.

With the ‘Map — Standard’, you can just assign any of the columns! 🔥

It automatically maps a given column data with appropriate countries behind the scene and generates the map.

Properties

And just like the other Map types, you can change the property setting. Here’s an example of changing the map background.

Other Maps

The following maps are supported with v6.0

  • World Countries
  • US States
  • US Counties
  • Japan Prefectures

And we’ll be adding more maps, so stay tuned!

Map Extension

For other maps such as Australia, UK, etc. you want to use ‘Map — Extensions’ type, which is used to be called ‘Map — Area’.

You can click on the gear icon next to the ‘Area Type’, which will open the Map Extension dialog.

Inside the Map Extension dialog, you might be able to find maps you’re looking for.

I’d suggest you take a look at the following post for more details about the Map Extension.

Try it for Yourself!

If you want to quickly try it out and you don’t have an Exploratory account yet, sign up from our website for 30 days free trial without a credit card!

If you happen to be a current student or teacher at schools, it’s free! Sign up for Community Plan.

And, if you don’t mind sharing what you create publicly you can sign up for Public edition of Exploratory (FREE)!

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CEO / Founder at Exploratory(https://exploratory.io/). Having fun analyzing interesting data and learning something new everyday.