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diff --git a/datasets/Talluri2021/README.md b/datasets/Talluri2021/README.md deleted file mode 100644 index 7f3b862..0000000 --- a/datasets/Talluri2021/README.md +++ /dev/null @@ -1,27 +0,0 @@ -## Characterization of OutageReport for years 2019 and 2020 - -This repository contains two datasets extracted from OutageReport webpages in 2019 and 2020. One dataset of total reported failures and another of failure with detailed information. - -The datasets are in the Parquet file format. - -The Jupyter Notebook files read the datasets, clean them, and generate plots and numbers for characterization. - -All the plots used in the paper can be generated by running the jupyter notebooks in order. The plots can also ve viewed in the notebooks themselves. - -The easiest way to run the notebooks is to use the prebuilt docker container using the command `docker run --rm -p 8888:8888 sacheendra/or_char`. - -To reproduce the graphs in the paper: -1. Start the docker container. (If you are using Docker for Mac or Windows, you might need to expose port 8888 between docker vm and host) -2. Navigate to localhost:8888 in your browser. -3. On the webpage, you should see a list of files in a pane on the left. -4. The code to reproduce the graphs in in Jupyter notebooks. Jupyter notebooks have the extension `.ipynb`. -5. The noteboks to produce the plots in the paper are numbered from 1 to 5. -6. To run a notebook, first open it by double clicking it. -7. The code in the notebook can then be run by opening the `Run` dropdown at top-left, and clicking on the `Run all cells` option. - -Figure to notebook reference: -Figure 1 - Notebook 1 -Table 2 - Notebook 2 -Figure 2 - Notebook 3 -Figure 3 - Notebook 2 -Figure 4 - Experiment in Notebook 4, Plot in Notebook 5
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