The Data School Blog

Dashboard Week, Day Five – New York Museums

For the final day of dashboard week we were given data on museums located in the United States from Enigma Public. There was location data for each museum so I thought it would be interesting to find some other spatial data to supplement it. I decided to find hotel...

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Dashboard Week Day 5 – Visualising Museum Data

For the final day of Dashboard Week, we had a shorter challenge which involved analysing data about US museums. The data was relatively straightforward to prep. I used Alteryx to create some spatial points and clean the data. Then for my dashboard design, I went with...

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Dashboard Week Day 5 – US Museums and Population

Friday marked the final day of dashboard week, and our task was to create a dashboard using data from Enigma Public. The catch was that we had to present our dashboard at 3pm, so time management was going to be key. The dataset contained information about US museums,...

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Dashboard Week, Day 5 – Museums

Day 5 was the final day of dashboard week! We were provided with a data set containing information about Museums in the US. We were allowed to supplement with other data and use Alteryx for data prep. In the data set were the locations of all the museums as well as...

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Dashboard Week Day 5 : Museum Revenue in the US

  On Day 5 of Dashboard week, we were given a data set from Enigma Public. This website contains a broad collection of public data. In the data set is general information of museums and related organisations in the U.S. I found the initial data lacking in terms...

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Dashboard Day 5 – US Museums

On the last day of our dashboard week we got an excel file about US museums. The data contained location, category, income, revenue information just to mention the most interesting ones. Preparing the data I decided to enrich the data with a few more datasets. It was...

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Dashboard week day 4 – Save our Forests

In today's Challenge, we had to build a story with any of the datasets from the world bank. Choosing a dataset and story was the toughest part of today's challenge. There was an enormous amount of data on the world bank website and some of the series had very scarce...

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