Monday, July 18, 2016

Comparison of top 10 and bottom 11 Fortune 500 firms

Hello readers,

A text analytics based comparison was done to find unique characteristics of firms belonging in the two clusters:

Cluster 1:
Rank 1: Walmart
Rank 2: Exxon Mobil
Rank 3: Apple
Rank 4: Berkshire Hathaway
Rank 5: McKesson
Rank 6: United Health Group
Rank 7: CVS Health
Rank 8: General Motors
Rank 9: Ford Motor
Rank 10: AT&T

Cluster 2:
Rank 490: Rockwell Collins
Rank 491: Lam Research
Rank 492: Fiserv
Rank 493: Spectra Energy
Rank 494: Navient
Rank 495: Big Lots
Rank 496: Telephone & Data Systems
Rank 497: First American Financial
Rank 498: NVR
Rank 499: Cincinnati Financial
Rank 500: Burlington Stores

Download report:
Detailed report containing observation commentary, correlation plots and word clouds is available for download here: Report


Correlation plot for Ford Motor
R programming language (along with packages "tm", "RGraphviz", "graph" and "slam") was used to prepare this analysis report. Citation for each has been provided below.

Do leave comments below. Thanks.



Citations:
  • R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
  • Kurt Hornik, David Meyer and Christian Buchta (2016). slam: Sparse Lightweight Arrays and Matrices. R package version 0.1-35. https://CRAN.R-project.org/package=slam
  • Kasper Daniel Hansen, Jeff Gentry, Li Long, Robert Gentleman, Seth Falcon, Florian Hahne and Deepayan Sarkar (2016). Rgraphviz: Provides plotting capabilities for R graph objects. R package version 2.16.0.
  • R. Gentleman, Elizabeth Whalen, W. Huber and S. Falcon (2016). graph: graph: A package to handle graph data structures. R package version 1.50.0.
  • Ingo Feinerer and Kurt Hornik (2015). tm: Text Mining Package. R package version 0.6-2. https://CRAN.R-project.org/package=tm 
  • Ingo Feinerer, Kurt Hornik, and David Meyer (2008). Text Mining Infrastructure in R. Journal of Statistical Software 25(5): 1-54. URL: http://www.jstatsoft.org/v25/i05/.
  • Latest annual reports were collected from individual websites of each of the 21 companies analyzed in the report.

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$60 bn company growing at 3% vs $8 bn company growing at 30% YoY

 Intersection is likely in 2032-2033 i.e. in 8 years from today.