Kenneth Bruskiewicz kennethbruskiewicz
kennethbruskiewicz
/ everyDrugTheyTake_pearsonCorrelation.tsv
Last active
March 2, 2019 17:31
Pearson Correlation between drug categories in
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| Drug_0 | Drug_1 | Correlation | |
|---|---|---|---|
| ALCEVER | ALCEVER | 1 | |
| ANLEVER | ALCEVER | 0.211840172 | |
| BLNTEVER | ALCEVER | 0.328981944 | |
| CIGEVER | ALCEVER | 0.531660634 | |
| COCEVER | ALCEVER | 0.219352848 | |
| CRKEVER | ALCEVER | 0.098581456 | |
| HEREVER | ALCEVER | 0.078915182 | |
| INHEVER | ALCEVER | 0.129854299 | |
| MJEVER | ALCEVER | 0.484604210 |
kennethbruskiewicz
/ pre-processing.py
Last active
March 2, 2019 17:00
Processing "National Survey on Drug Use and Health" for particular columns using Pandas
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| # Pandas has good support for manipulating dataframes as is cost-efficient at doing so. | |
| # By comparison I couldn't process the file in Excel because it was too large. | |
| import pandas as pd | |
| # Load the TSV file using a tab delimeter | |
| df = pd.read_csv("35509-0001-Data.tsv", sep='\t') | |
| # The filter function slices columns from the dataset. Each column was | |
| df.filter(items=["CASEID", "CIGEVER", "SNFEVER", "CHEWEVER", "PIPEVER", "ALCEVER", "MJEVER", "COCEVER", "CRKEVER", "HEREVER", "INHEVER", "ANLEVER", "STMEVER", "SEDEVER", "BLNTEVER", "TRNEVER"]) |
kennethbruskiewicz
/ everyDrugTheyTake_stacked.tsv
Last active
March 2, 2019 20:50
Filtering "National Survey on Drug Use and Health" by whether or not someone has ever used a kind of drug
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| CASEID Drug Taken | |
| 1 CIGEVER 1 | |
| 1 SNFEVER 0 | |
| 1 CHEWEVER 0 | |
| 1 PIPEVER 0 | |
| 1 ALCEVER 0 | |
| 1 MJEVER 0 | |
| 1 COCEVER 0 | |
| 1 CRKEVER 0 | |
| 1 HEREVER 0 |
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