Difference between revisions of "Hivanson Week 8"
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− | * | + | * '''Purpose''': Import public-access FDA drug database into Microsoft Access, then compare query capabilities using SQL on Access to those of the search function on the FDA drug database. |
* Your '''methods''': what did you actually do? Give a step by step account for Tasks 1-4 listed above. | * Your '''methods''': what did you actually do? Give a step by step account for Tasks 1-4 listed above. | ||
** There should be enough detail provided so that you or another person could re-do it based solely on your notebook. | ** There should be enough detail provided so that you or another person could re-do it based solely on your notebook. |
Revision as of 16:28, 13 March 2024
- Purpose: Import public-access FDA drug database into Microsoft Access, then compare query capabilities using SQL on Access to those of the search function on the FDA drug database.
- Your methods: what did you actually do? Give a step by step account for Tasks 1-4 listed above.
- There should be enough detail provided so that you or another person could re-do it based solely on your notebook.
- You may copy protocol instructions on your page and modify them as to what you actually did, as long as you provide appropriate attribution in your acknowledgments section.
- Take advantage of the electronic nature of the notebook by providing screenshots, links to web pages, links to data, etc.
- I downloaded and extracted the files from the FDA Drug Database.
- I created a Microsoft Access database and imported all data files from step 1 using "Import"-->"Text File", and selecting "First Row Contains Field Names."
- When importing, I ensured that the fields matched the datatype outlined by the FDA website schema. I did not match the keys, as many of the fields that were stated to be keys contained duplicate information and therefore could not be listed as primary keys on Access.
- I attempted to set the relationships between my tables to match the schema provided by the FDA, but he two photos provided on the FDA website contained some conflicting information. I matched the relationships as best I could according to the photos and according to common field names.
Answer the questions below.
- Your results: the answers to the questions below, plus any other results you gathered.
- Usually it makes sense to embed your answers to the questions/results in the "methods" in the order in which you obtained them.
- A scientific conclusion: what was your main finding for today's project? Did you fulfill the purpose? Why or why not?
1.
SELECT DrugName
FROM Products
WHERE form ='INJECTABLE;INTRAVENOUS, SUBCUTANEOUS';
2. SELECT DrugName FROM Products WHERE ActiveIngredient ='ATROPINE';
3. SELECT Form, Strength FROM Products WHERE DrugName = 'Benadryl';
5. "Produce a table listing all of the known values for the therapeutic_potential column in the application table and how many application records there are of each. (Side note: The therapeutic_potential codes are explained in the ReviewClass_Lookup.txt file, in case you’re interested.)" No "therapeutic_potential" column present in database, so cannot search column.
6. Produce a table listing all of the known values for the chemical_type column in the application table and how many application records there are of each. (Side note: The chemical_type codes are explained in the ChemTypeLookup.txt file, in case you’re interested.) No "chemical_type" column present in database, so cannot search column.
7. SELECT DrugName FROM Applications RIGHT JOIN Products ON Applications.ApplNo = Products.ApplNo WHERE SponsorName = 'Merck';
8. SELECT SponsorName, ActiveIngredient FROM Applications RIGHT JOIN Products ON Applications.ApplNo = Products.ApplNo WHERE ActiveIngredient LIKE '*ASPIRIN*CAFFEINE*' And SponsorName LIKE '*Labs*';