scalable_data_lifecycle_covid-19_case_study
https://github.com/justinhblanchard/scalable_data_lifecycle_covid-19_case_study
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (5.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: justinhblanchard
- Language: Python
- Default Branch: main
- Size: 2.1 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
ScalabledatalifecycleCOVID-19case_study
Libraries used- pandas, seaborn, numpy, matplotlib.pyplot, sklearn.decomposition, and sklearn.preprocessing.
Test link- https://data.cdc.gov/api/views/muzy-jte6/rows.csv?accessType=DOWNLOAD
Excess- A directory containing a variety of tools (some not fully implemented) that are not in the workflow.
parse.py- The first program to run, it inputs the path to a .csv file and outputs many .csv files, which are renamed to
Uses sys and pandas.
heat_pair.py- Runs after parse.py, it inputs the path to a .csv file and outputs a .png plot.
This program creates the heatmap and pairplot biplot.
Uses sys, numpy, pandas, seaborn, and matplotlib.pyplot.
standardize.py- Runs after parse.py, it inputs the path to a .csv file and outputs a .csv file named standardized
Uses sys, pandas, and sklearn.preprocessing.
pca_graph.py- Runs after standardize.py, it inputs the path to a .csv file and outputs a .png.plot.
This program creates the PCA plot and with the weight vectors plotted atop.
Uses sys, numpy, pandas, seaborn, matplotlib.pyplot, and sklearn.decomposition.
Citation (CITATION.cff)
message: "If you use this software, please cite it as below."
authors:
- family-names: Blanchard
given-names: Justin
orcid: 0000-0003-4942-7913
title: "Scalable HPC Workflow and Tools for Data Analysis"
doi: ""
date-released:
GitHub Events
Total
Last Year
Dependencies
- matplotlib.pyplot *
- numpy *
- os *
- pandas *
- seaborn *
- sklearn.decomposition *
- sklearn.preprocessing *
- sys *
- wget *