Exploring, filtering and shaping web-based public data using Data Explorer Excel add-in:


Data Explorer let’s you “Explore” (search) for web-based public data. This is a great way to combine data that you may have in your data-sources with public data sources for data analysis purposes. Sometimes your data might not tell you the reason behind the observed trends, so when that happens – you can try to see if a public data-set might give you the much-needed context. Let me give you an Example before we start hands-on w/ data explorer so that you have better understanding of importance of public datasets. Here’s a sample that I found here. So, Here’s a demo:

An auto company is seeing sales trends of Hybrid cars and SUV’s from the sales data-sources. But what is the reason behind that? company data does not show that. Someone hypothesizes that it might be because of gas prices. So they test out the hypothesis by combining gas prices information available via public data. And turns out gas prices might be the driving force of sales trends! SEE:

if the gas prices increase, then the sale of SUV go down and the sale of Hybrids go up:

data analysis combine data with public datasets

You know that public data can be helpful! So how can you search for public data-sets? Well, You can manually search online, ask someone, browse through public data repositories like azure data market (and other data markets), there’s also a public data search engine! OR you can directly search for them via Data Explorer.

Here are the steps:

1) Excel 2010/2013 > Data Explorer Tab > Online Search > type “Tallest Buildings”

excel public data search data explorer2) I selected one of the data-sets that said “Tallest completed building…. ”

excel data from internet

3) Now let’s do some filtering and shaping. Here are the requirements:

– Hide columns: Image, notes & key

– clean columns that has heights data

– Show only city name in location

OK, let’s get to this one by one!

4) Hiding Columns:

Click on Filter & Shape button from the Query Settings:

excel data shaping cleaning

Select Image Column > Right Click > Hide:

excel hide remove columns

Repeat the steps for notes & key column.

Click on DONE

5) clean column that has heights data.

Click on Filter & Shape to open the query editor

A) let’s rename it. Select column > Right Click > Rename to Height > press ENTER

B) let’s remove the values in brackets. Select Column > right click > split column > By delimiter > At each occurrence of the delimiter > Custom and enter “(” > OK

excel split a columnThis should transform the data like this:

excel data explorer split a column

Hide height.2 and rename the height.1 to height

Click on DONE

6) Let’s just have city names in the location column

click on Filter & shape to load query editor:

A) select location > right click > split column > by delimiter > Custom – Enter: ° in the text box like this:

an excel split by delimiter dataclick on OK

Hide Location.2, Location.3, Location.4 & Location.5

Select Location.1 > Right Click > Split Column > by Number of characters > Number of characters: 2 > Once, as far right as possible > OK

cleaning data in excel shaping filtering

Hide Location.1.2 and rename Location.1.1 to Location

One last thing! making sure that the data type of height is numbers.

Select height > change type > number


Select floors > change type > number

click on DONE. Here’s our filtered and shaped data!

filter data excel shape clean


For the purpose of visualization I copied first 20 rows to a separate excel sheet and created a chart:

z excel data visualization

That’s about it for this post. Here are some related Posts on Data Explorer:
Unpivoting data using the data explorer preview for Excel 2010/2013
Merging/Joining datasets in Excel using Data Explorer add-in
Remove Duplicates in Excel Tables using Data Explorer Add-in
Web Scraping Tables using Excel add-in Data Explorer preview:

Your comments are very welcome!

0 thoughts on “Exploring, filtering and shaping web-based public data using Data Explorer Excel add-in:

What do you think? Leave a comment below.