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BenchmarkDP - Format technology lifecycle analysis - IMAGE market segment

Version 2 2016-11-10, 12:05
Version 1 2016-05-24, 11:45
dataset
posted on 2016-11-10, 12:05 authored by Kresimir DuretecKresimir Duretec
This set of files contains all results from analyzing IMAGE market segment.

The fileset contains the following files:

experimentConfig.tsv - A file containing TAB separated values. This file contains experiment configuration data.

market.tsv - A file containing TAB separated values. This file contains definition of market elements.

marketStats.tsv - A file containing TAB separated values. It contains statistics around data preparation step where the main aspect is conflict reduction.

cleanedData.tsv - A file containing TAB separated values. This file contains the data for a specified market segment. The data is in the stage where the UK web archive Format Profile data has been filtered and all the conflicts have been resolved.

adoptionRates.tsv - A file containing TAB separated values. This file extends cleanedData.tsv with the calculated adoption rates and smoothed adoption rates for each market element. Smoothed adoption rates are calculated as a three year moving average.

market elements.zip - A zip file containing for each market element estimated models for all possible combinations of starting points. Parameter values are stored in allEstimates.tsv and calculated models (R objects) are in models folder. Furthermore, maximum 5 best models are selected (best.tsv) and their plots are in the graphs folder.

selected models.zip - A zip file containing plots from selected models. Each market element is represented with the main plot and two plots showing residuals. 

predictions.zip - A zip file containing plots from selected models. In this case the prediction band (95%) is plotted instead of the confidence band. This zip contains also the prediction values for each market element in a file *-predictions.tsv where * is the name of the market element. Each file provides the actual value (if available) and the predicted value for a certain year (2009,2010,2011).

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