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Maximizing Funding through Library Expansion: A Data Analysis Study

Explore the correlation between library presence and funding amounts using data analysis techniques. This study highlights the importance of libraries in securing financial resources.

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Maximizing Funding through Library Expansion: A Data Analysis Study

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  1. MONEY?? LIBRARIES?? Felix Kabo, M.Arch, Ph.D.

  2. LIBRARIES NATIONAL INSTITUTES OF HEALTH FUNDING

  3. usebdc2014 createtableill_institutions ( Institution varchar(255), City varchar(125), Statevarchar(50), Zipcodevarchar(9), RU_VHvarchar(1), ARLvarchar(1), ACAD_RESvarchar(1), Public_100K varchar(1), Public_CAvarchar(1), latitude float, longitude float ); bulkinsertill_institutions from'C:\Users\Felix Kabo\Desktop\BDC Knowledge Institutions.txt' with (firstrow=2); --406 rows

  4. createtable nihgrants2013 ( ORGANIZATION varchar(255), AWARDS int, FUNDING int, CITY varchar(125), STATEvarchar(2) ); bulkinsert nihgrants2013 from'C:\Users\Felix Kabo\Desktop\NIH Funding FY2013.txt' with (firstrow=2); --2292 rows

  5. selectsum(FUNDING)asmoneyflows,upper(CITY)as city,upper(STATE)asstate intomoneysum from nihgrants2013 groupby CITY,STATE orderbymoneyflows --813 rows select*intoknowledge_houses fromill_institutions leftjoinstates_abbreviations onill_institutions.State= states_abbreviations.ST --406 rows

  6. selectCOUNT(Institution)asknowledge_counts,upper(City)as cities,ABBRas states fromknowledge_houses groupby City,ABBR orderbyknowledge_counts --318 rows selectCOUNT(Institution)asknowledge_counts,upper(City)as cities,ABBRas states fromknowledge_houses whereABBR!='NULL' groupby City,ABBR orderbyknowledge_counts --279 rows

  7. selectCOUNT(Institution)asknowledge_counts,upper(City)as cities,ABBRas states intototal_knowledge fromknowledge_houses whereABBR!='NULL' groupby City,ABBR orderbyknowledge_counts --279 rows select*intomoney_knowledge frommoneysum leftjointotal_knowledge onmoneysum.city=total_knowledge.cities andmoneysum.state=total_knowledge.states --813 rows

  8. select*frommoney_knowledge where states!='NULL' orderbymoneyflows --194 rows select*frommoney_knowledge whereknowledge_counts>0 orderbymoneyflows --194 rows

  9. --Finally, take easy route and calculate correlations in Stata...or do it in SQL altertablemoney_knowledge altercolumnmoneyflowsbigint declare @mean1 decimal(20,6) declare @mean2 decimal(20,6) select @mean1=AVG(moneyflows*1.0) ,@mean2=AVG(knowledge_counts*1.0) frommoney_knowledge whereknowledge_counts>0; select (SUM((moneyflows*1.0-@mean1)*(knowledge_counts*1.0-@mean2))/COUNT(*)) /((STDEVP(moneyflows*1.0)*STDEVP(knowledge_counts*1.0)))as correlation frommoney_knowledge whereknowledge_counts>0; --0.554758521032079 Is it elegant? Maybe not...but you get the picture

  10. MORE LIBRARIES = MORE MONEY!! ♫

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