it is, but it comes at the cost of *yet another* dialect to learn!


On Wed, Mar 5, 2014 at 12:57 PM, Mayank Misra <notifications@github.com>wrote:

> In _posts/2014-03-02-MayankMisra-Assignment1.md:
>
> > +The uspop.csv is the starting point of this analysis.
> > +
> > +-[Web Scrapper](https://github.com/malecki/edav/blob/uspop/projects/popgraph/get-data.py)
> > +
> > +-[US Population uspop.csv](https://github.com/malecki/edav/blob/gh-pages/projects/darrenxing/citypop.csv)
> > +
> > +The base dataset ranks (top 20) populations of US cities.  This is census data covering a period of 1790 to 2010.  Data are not available for all cities for every time the census was taken.  There are gaps in the data.
> > +
> > +##### Software and platforms
> > +The following tools were used to support this analysis:
> > +
> > +- Version control: Github (public on-line repository)
> > +
> > +- Hosting:    [Github](https://github.com/malecki/edav) (local copies of repository and files).  Some insights was twitted.  The images embedded in the [tweets](https://twitter.com/mayankmisra) were brought back into this post to avoid issues with asset includes from pull requests.
> > +
> > +- Data Integration and enrichment: [Data Wrangler](http://vis.stanford.edu/wrangler/) and [Tableau Public](http://www.tableausoftware.com/public//)
>
> I did not know about OpenRefine. It seems it may be more feature rich than
> data wrangler. Thank you.
>
> —
> Reply to this email directly or view it on GitHub<https://github.com/malecki/edav/pull/100/files#r10310134>
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>