While in college I studied computer science and was confidently writing programs for upper-level CS classes such as Operating Systems and Introduction to Programming Languages. However, in the years since I graduated my coding skills have unfortunately been covered in a layer of cobwebs and dust. As a way to brush up on my coding, I've been playing with html, css, javascript, jquery, and python.

One of my first assigments when I joined Tableau was to build my own dataset. I am a big fan of Broadway musicals and decided to use the awesome weekly sales data posted at Broadway World to better understand sales over time for Broadway shows. I partnered with my husband to write a script that compiled Broadway World's sales data into a single spreadsheet that I could load into Tableau and explore. I also made a few additions to the dataset such as creating a column that adjusts dollar values for inflation.

As often happens with data, having a little means you want even more. So once I had the Broadway sales information, I went looking for more data that I could use in my analysis. Using import.io I gathered additional data on show genres, performance counts, and reviewer assessments from sites like The Internet Broadway Database and Did He Like It?.

I'll be posting my Tableau vizzes at some point. For now you can download my spreadsheets yourself if you'd like to play with the data.

• Broadway sales data from BroadwayWorld.com
• Broadway show data from IBDB.com
• Broadway review highlights from DidHeLikeIt.com
• Geocoding for Broadway Theatres

My neighborhood, South Lake Union in Seattle, is presently in the midst of a building boom. Seattle provides some great data about Land Use permits (aka buildinng permits) on their open data site. Unfortunately, much of the interesting information is in a long description field. To visaulize the data in the way I want, I've been working to parse the description field into more usable pieces (number of building stories, number of units, type of building, etc.). I've got some of the script working, but it still gets tripped up by complex statements like "2 towers containing 42-stories each (84 stories total)". If you want to play with what I've got so far you can download my working files here:

• Python script that parses and tokenizes the Land Use Permits csv
• Building specfic data in each permit
• Data applicable to the whole permit
• Combine the former datasets with Seattle's data to make more complete visualizations

Because I felt like the internet could use a few more cats, I decided to create a cat collaging app. Fill the canvas of this little web app with cats or, if you prefer, create an instant collage with lots of cats and colored blocks.

There are issues with slow image load times on first run and it's pretty ugly. Someday I do plan to come back to it and fix the bugs and add more features. For now, you are free to play with what I've got and add a few more cats to the internet!

A stamping and collaging web app

This is the start of a Whack-a-Mole style game, Whack-an-Egg. Click on a jumping egg to hatch the chicken inside before it falls to the ground and turns to scrambled eggs. The trigger for clicking on eggs is a little sensitive (aim for the very middle of the eggs), so if you miss on your first few chicks keep trying. Now let's get cracking!

A whack-a-mole variant