Skip to main content

Computer History Museum and a Tableau Makeover

I just posted a Tableau story about my recent visit to the Computer History Museum that inspired me to makeover a census data viz from the 19th Century! Check it out by clicking the image below:


Here are some other photos I snapped:

Awesome interactive display on inputs and outputs. #HelloSQL


Awesome 3-D visualization on Moore's "Law".


And another view:


Punch card data collection:


Transforming the punch card data into visualizations:


The result:


More Census visualizations:





The punch machine:


Hope you enjoyed! 

Comments

  1. I am only able to see jsut one picture on this post. Is it just me or is this a problem from your end. Do check it out and let us know. Really want to see the post fully.

    ReplyDelete

Post a Comment

Leave a comment!

Popular posts from this blog

Using Python for Sentiment Analysis in Tableau

This weeks Makeover Monday's data set was the Top 100 Song's Lyrics. After just returning from Tableau's annual conference and being eager to try their new feature, TabPy, this seemed like the perfect opportunity to test it out. In this blog post, I'm going to offer a step-by-step guide on how I did this. If you haven't used Python before, have no fear - this is definitely achievable for novices - read on! 

For some context before I begin, I have limited experience with Python. I recently completed a challenging but great course through edX that I'd highly recommend if you are looking for foundational knowledge - Introduction to Computer Science and Programming Using Python. The syllabus included advanced Python including Classes and thinking about algorithmic complexity. However, to run the analysis I did, it would be helpful to look up and understand at a high level:

basic for loopslistsdictionariesimporting librariesThe libraries I used for this, should you w…

Open Data Sets

A connection of mine recently shared a great resource with me for those of you who are aspiring data scientist or just love data. It's an open-source data science program that can be found here: http://datasciencemasters.org/. Check out this great data repository compiled by the project: Open Data List of Public Datasets - user-curatedDBpedia - utilizing a large multi-domain ontologyPublic Data Sets on AWS - common web crawl corpus, NASA satellite imagery, Human Genome, Google Book NGrams, Wikipedia Traffic, Million Song Dataset, Federal Reserve Economic Data, PubChem, more.Governmental Data Compendium of Governmental Open Data SourcesData.gov (USA)Africa Open DataUS Census - Population Estimates and Projections, Nonemployer Statistics and County Business Patterns, Economic Indicators Time Series, more.Non-Governmental Org Data The World Bank - business regulation measures, company-level data in emerging markets, household consumption patterns, World Development Indicators, World Ban…

Educational Backgrounds of Data Industry Professionals

As some of you may know, I co-founded a group in the Bay Area for women who work in the data industry with Chloe Tseng back in March. These past 8 months have been extremely rewarding for me. Not only have I been sharpening my organizing and community building skills but I've built an amazing network of friendship and support. 

One thing that continually will come up in our conversations is the idea of "non-traditional" vs. "traditional" educational backgrounds. "Traditional" referring to professionals who have a STEM (i.e. Computer Science, Statistics, Math, etc.) background versus those of us who have a degree in a liberal arts field (i.e. Communications, Business, PoliSci, etc.). It's really interesting to see how this manifests in the types of struggles they face. Speaking personally, I studied Political Science and had a few non-data jobs before entering this space. I've always felt a bit behind from peers who have STEM backgrounds which c…