Last active
August 29, 2015 14:05
-
-
Save chintanparikh/1b1421db27f9c970fe2b to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "BBRY" => { | |
| "Qtrly Rev Growth" => { | |
| "datapoint" =>"Qtrly Rev Growth (yoy)", | |
| "data" =>"-0.69" | |
| }, | |
| "Revenue" => { | |
| "datapoint" =>"Revenue (ttm)", | |
| "data" =>"4.71B" | |
| }, | |
| "Gross Margin (ttm)" => { | |
| "datapoint" =>"Gross Margin (ttm)", | |
| "data" =>"-0.11" | |
| }, | |
| "EBITDA" => { | |
| "datapoint" =>"EBITDA (ttm)", | |
| "data" =>"-2.36B" | |
| }, | |
| "Operating Margin" => { | |
| "datapoint" =>"Operating Margin (ttm)", | |
| "data" =>"-0.73" | |
| }, | |
| "Net Income" => { | |
| "datapoint" =>"Net Income (ttm)", | |
| "data" =>"-5.77B" | |
| }, | |
| "EPS" => { | |
| "datapoint" =>"EPS (ttm)", | |
| "data" =>"-11.18" | |
| }, | |
| "P/E" => { | |
| "datapoint" =>"P/E (ttm)", | |
| "data" =>"N/A" | |
| }, | |
| "PEG" => { | |
| "datapoint" =>"PEG (5 yr expected)", | |
| "data" =>"-0.88" | |
| }, | |
| "P/S" => { | |
| "datapoint" =>"P/S", | |
| "data" =>"0.42" | |
| } | |
| }, | |
| "GOOG" => { | |
| "Qtrly Rev Growth" => { | |
| "datapoint" =>"Qtrly Rev Growth (yoy)", | |
| "data" =>"0.22" | |
| }, | |
| "Revenue" => { | |
| "datapoint" =>"Revenue (ttm)", | |
| "data" =>"65.14B" | |
| }, | |
| "Gross Margin (ttm)" => { | |
| "datapoint" =>"Gross Margin (ttm)", | |
| "data" =>"0.58" | |
| }, | |
| "EBITDA" => { | |
| "datapoint" =>"EBITDA (ttm)", | |
| "data" =>"19.42B" | |
| }, | |
| "Operating Margin" => { | |
| "datapoint" =>"Operating Margin (ttm)", | |
| "data" =>"0.23" | |
| }, | |
| "Net Income" => { | |
| "datapoint" =>"Net Income (ttm)", | |
| "data" =>"13.05B" | |
| }, | |
| "EPS" => { | |
| "datapoint" =>"EPS (ttm)", | |
| "data" =>"19.09" | |
| }, | |
| "P/E" => { | |
| "datapoint" =>"P/E", | |
| "data" =>"30.27" | |
| }, | |
| "PEG" => { | |
| "datapoint" =>"PEG (5 yr expected)", | |
| "data" =>"N/A" | |
| }, | |
| "P/S" => { | |
| "datapoint" =>"P/S", | |
| "data" =>"6.00" | |
| } | |
| }, | |
| "HPQ" => { | |
| "Qtrly Rev Growth" => { | |
| "datapoint" =>"Qtrly Rev Growth (yoy)", | |
| "data" =>"0.01" | |
| }, | |
| "Revenue" => { | |
| "datapoint" =>"Revenue (ttm)", | |
| "data" =>"112.18B" | |
| }, | |
| "Gross Margin (ttm)" => { | |
| "datapoint" =>"Gross Margin (ttm)", | |
| "data" =>"0.24" | |
| }, | |
| "EBITDA" => { | |
| "datapoint" =>"EBITDA (ttm)", | |
| "data" =>"13.25B" | |
| }, | |
| "Operating Margin" => { | |
| "datapoint" =>"Operating Margin (ttm)", | |
| "data" =>"0.08" | |
| }, | |
| "Net Income" => { | |
| "datapoint" =>"Net Income (ttm)", | |
| "data" =>"5.10B" | |
| }, | |
| "EPS" => { | |
| "datapoint" =>"EPS (ttm)", | |
| "data" =>"2.84" | |
| }, | |
| "P/E" => { | |
| "datapoint" =>"P/E", | |
| "data" =>"14.28" | |
| }, | |
| "PEG" => { | |
| "datapoint" =>"PEG", | |
| "data" =>"3.01" | |
| }, | |
| "P/S" => { | |
| "datapoint" =>"P/S", | |
| "data" =>"0.63" | |
| } | |
| }, | |
| "AAPL" => { | |
| "Qtrly Rev Growth" => { | |
| "datapoint" =>"Qtrly Rev Growth (yoy)", | |
| "data" =>"0.06" | |
| }, | |
| "Revenue" => { | |
| "datapoint" =>"Revenue (ttm)", | |
| "data" =>"178.14B" | |
| }, | |
| "Gross Margin (ttm)" => { | |
| "datapoint" =>"Gross Margin (ttm)", | |
| "data" =>"0.38" | |
| }, | |
| "EBITDA" => { | |
| "datapoint" =>"EBITDA (ttm)", | |
| "data" =>"59.13B" | |
| }, | |
| "Operating Margin" => { | |
| "datapoint" =>"Operating Margin (ttm)", | |
| "data" =>"0.29" | |
| }, | |
| "Net Income" => { | |
| "datapoint" =>"Net Income (ttm)", | |
| "data" =>"38.56B" | |
| }, | |
| "EPS" => { | |
| "datapoint" =>"EPS (ttm)", | |
| "data" =>"5.96" | |
| }, | |
| "P/E" => { | |
| "datapoint" =>"P/E", | |
| "data" =>"16.30" | |
| }, | |
| "PEG" => { | |
| "datapoint" =>"PEG", | |
| "data" =>"1.37" | |
| }, | |
| "P/S" => { | |
| "datapoint" =>"P/S", | |
| "data" =>"3.39" | |
| } | |
| } | |
| } |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "Qtrly Rev Growth" => { | |
| "BBRY" =>"-0.69", | |
| "GOOG" =>"0.22", | |
| "HPQ" =>"0.01", | |
| "AAPL" =>"0.06" | |
| }, | |
| "Revenue" => { | |
| "BBRY" =>"4.71B", | |
| "GOOG" =>"65.14B", | |
| "HPQ" =>"112.18B", | |
| "AAPL" =>"178.14B" | |
| }, | |
| "Gross Margin (ttm)" => { | |
| "BBRY" =>"-0.11", | |
| "GOOG" =>"0.58", | |
| "HPQ" =>"0.24", | |
| "AAPL" =>"0.38" | |
| }, | |
| "EBITDA" => { | |
| "BBRY" =>"-2.36B", | |
| "GOOG" =>"19.42B", | |
| "HPQ" =>"13.25B", | |
| "AAPL" =>"59.13B" | |
| }, | |
| "Operating Margin" => { | |
| "BBRY" =>"-0.73", | |
| "GOOG" =>"0.23", | |
| "HPQ" =>"0.08", | |
| "AAPL" =>"0.29" | |
| }, | |
| "Net Income" => { | |
| "BBRY" =>"-5.77B", | |
| "GOOG" =>"13.05B", | |
| "HPQ" =>"5.10B", | |
| "AAPL" =>"38.56B" | |
| }, | |
| "EPS" => { | |
| "BBRY" =>"-11.18", | |
| "GOOG" =>"19.09", | |
| "HPQ" =>"2.84", | |
| "AAPL" =>"5.96" | |
| }, | |
| "P/E" => { | |
| "BBRY" =>"N/A", | |
| "GOOG" =>"30.27", | |
| "HPQ" =>"14.28", | |
| "AAPL" =>"16.30" | |
| }, | |
| "PEG" => { | |
| "BBRY" =>"-0.88", | |
| "GOOG" =>"N/A", | |
| "HPQ" =>"3.01", | |
| "AAPL" =>"1.37" | |
| }, | |
| "P/S" => { | |
| "BBRY" =>"0.42", | |
| "GOOG" =>"6.00", | |
| "HPQ" =>"0.63", | |
| "AAPL" =>"3.39" | |
| } | |
| } |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| stocks = @valuation_data.keys | |
| datapoints = @valuation_data[@valuation_data.keys[0]].keys | |
| zipped = datapoints.map do |datapoint| | |
| Hash[stocks.zip(stocks.map { |s| @valuation_data[s][datapoint]["data"] })] | |
| end | |
| transformed_data = Hash[datapoints.zip(zipped)] |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment