R programming adding data to a data frame

R programmers only. Quandl experience required. Not a web scraping project. I need the Quandl codes listed below added as new columns to the dput output file attached to the project. I need the work to be completed urgently. The required codes are: 1. Download the attached dput file and load this into R 2. For each “Date” and “Ticker” create a new column inserting the data for that date and ticker for the data attribute as indicated below: 2.1 Column: “NetIncome” data point as in “SEC/<TICKER>_NETINCOMELOSS_Q” 2.2 Column: “Revenue” data point as in “SEC/<TICKER>_SALESREVENUENET_Q” 2.3 Column: “TotalAssets” data point as in “SEC/<TICKER>_ASSETS_Q” 2.4 Column: “PretaxIncome” data point as in “SEC/<TICKER>_INCOMELOSSFROMCONTINUINGOPERATIONSBEFOREINCOMETAXESEXTRAORDINARYITEMSNONCONTROLLINGINTEREST_Q” 2.5 Column: “EBIT” data point as in “SEC/<TICKER>_OPERATINGINCOMELOSS_Q” 2.6 Column: “ShareholdersEquity” data point as in "SEC/<TICKER>_STOCKHOLDERSEQUITY_Q” 2.7 Column: “SharesOutstanding” data point as in "SEC/<TICKER>_WEIGHTEDAVERAGENUMBEROFDILUTEDSHARESOUTSTANDING_Q” 2.8 Column: “EarningsPerShareDil” data point as in "SEC/<TICKER>_EARNINGSPERSHAREDILUTED_Q" 2.9 Column: “Dividends” data point as in "SEC/DIV_<TICKER>“ 2.10 Column: “MarketCap” data point as in Price from “GOOG/<EXCHANGE>_<TICKER>” times “SharesOutstanding” 2.11 Column: “Volumen” data point as in Volume “GOOG/<EXCHANGE>_<TICKER>” for the covered frequency (not that a monthly frequency needs to sum the monthly volume.) 2.12 Column: “10yBondYield” data point for the US as in "UNDATA/IFS_YLD_<COUNTRY_CODE>“ 2.13 Column: “GDPChange” data point for the US as in “ODA/<COUNTRY_CODE>_NGDP_RPCH” 2.14 Column: “DeptRatio” data point for the US as in “WGFD/<COUNTRY_CODE>_GFDD_DM_10” 3. Data cleansing: For any data combination that does not yield a result do not omit the result. Insert “NA” when there is no data to be found. 4. Make a CSV file available to complete the project The following is optional but highly appreciated: A) Amend each “Date” and “Ticker” with the trailing 20 day momentum indicator as of the date per “Date” column