Tag Archives: Microsoft Excel

Four Steps: Social Network Analysis by Twitter Hashtag with NodeXL [Guest post by Johanna Morariu]

Note from Ann: Today’s guest post is from Johanna Morariu, Director of Innovation Network, AEA DVRTIG Chair, and dataviz aficionado.

snaBasic social network analysis is something EVERYONE can do. So let’s try out one social network analysis tool, NodeXL, and take a peek at the Twitter hashtag #eval13.

Using NodeXL (a free Excel plug-in) I will demonstrate step-by-step how to do a basic social network analysis (SNA). SNA is a dataviz approach for data collection, analysis, and reporting. Networks are made up of nodes (often people or organizations) and edges (the relationships or exchanges between nodes). The set of nodes and edges that make up a network form the dataset for SNA. Like other types of data, there are quantitative metrics about networks, for example, the overall size and density of the network.

There are four basic steps to creating a social network map in NodeXL: get NodeXL, open NodeXL, import data, and visualize.

Do you want to explore the #eval13 social network data? Download it here.

Here’s where SNA gets fun—there is a lot of value in visually analyzing the network. Yes, your brain can provide incredible insight to the analysis process. In my evaluation consulting experience, the partners I have worked with have consistently benefited more from the exploratory, visual analysis they have benefited from reviewing the quantitative metrics. Sure, it is important to know things like how many people are in the network, how dense the relationships are, and other key stats. But for real-world applications, it is often more important to examine how pivotal players relate to each other relative to the overall goals they are trying to achieve.

So here’s your challenge—what do you learn from analyzing the #eval13 social network data? Share your visualizations and your findings!

Dataviz Challenge #5: The Answers!

I’ve been in love with diverging stacked bar charts since I saw Joe Mako’s submission to Cole Nussbaumer’s dataviz challenge last December. Joe made this contest-winning chart. But in Tableau! The amazing but expensive software!

Could I ever create one in Excel?!

Yes! Luckily I’d learned about the Values in Reverse Order feature from Stephanie Evergreen. With Joe’s inspiration and Stephanie’s strategy, I started making these beauties for myself in Excel.

I wanted to share the chart secrets with all of you, so last month, I challenged readers to re-create a diverging stacked bar chart like this one:


It looks like I’m not the only one who loves diverging stacked bar charts. Congratulations to the 12 contestants! In order of submission, they are:

Most contestants seized the opportunity to use their own datasets and made adjustments as needed. For example, Sheila’s dataset fit a traditional stacked bar chart better than a diverging stacked bar chart, and Anjie needed to display cut-off scores.

So how do you make these diverging stacked bar charts, anyways?! There are at least two strategies: Either a) create two separate charts, a strategy demonstrated in previous posts like this one, or b) use floating bars, a strategy demonstrated in previous posts like this one. Stephanie Evergreen blogged about strategy B a few weeks ago and her explanation is pretty awesome, so I’m going to focus on strategy A today.

Here’s a slideshow about the two-charts-in-one strategy. Enjoy!

Bonus! Download my Excel file.

Want to learn more? I’ll be sharing my top 5 must-have chart strategies at the American Evaluation Association’s annual conference on Thursday, October 17.

For discussion: Nearly all of the contestants requested friendly feedback on their graphs. In most cases, contestants were trying these charts for the first time and thinking about whether or not these charts could be adapted for their datasets. What do you think?