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Created with Raphaël 2.2.021Apr13Jan121Dec24Nov30Oct231230Sep1511827Aug26252221201917141312523Jul22161410230Jun241817128421May1918148427Apr2421201614131031Mar262423201916This Jupyter notebook uses regression to predict job's queue wait time.throughput-anal…throughput-analysis-plotsThis jupyter notebook is for the seff data analysis of october 15th data.This is the file for the release version 1 of Date range Throughput Analysis.Merge remote-tracking branch 'origin/master' into throughput-analysis-plotsIn this notebook we're calling the daterange_resample module for creating the plots for pending jobs and completed jobs in a given daterange.This is the module for calculating pending jobs and completed jobs for a given daterange.added documentaion. Is ready for public usemastermasterMerge branch 'Elapsed-AllocCPUs-ReqMem_ClusterAnalysis' into 'master'added documentaion. Is ready for public useAdding the Date range Throughput Alaysis plot.Adding the daterange throughput analysis.added 2d histograms for clustersadded cluster analysis graphsdeleted un needed fileMerge branch 'Cores-and-Runtime-Clustering' into 'master'finalized graphs with normalization optionsMerge branch 'throughput-analysis-plots' into 'master'Adding the core count plots.added normalization to datasetsRenamed title to throughput analysis of array jobsThis is the throughput analysis plot for user jobs.Renamed this jupyter notebook to throughput analaysis user jobs.Added additional documentations and seperated the throughput analysis plots.Added some additional documentation.I have renamed the jupyter notebook file from Resample_Array_Jobs to Throughput_Analysis_Array_Jobs.I have created a new database for the array job which is used for the throughput analysis.Merge remote-tracking branch 'pascalnode-partition/throughput-analysis-plots' into sacct-pascalnode-partition-exploresacct-pascalnod…sacct-pascalnode-partition-exploreI wanted to make this branch clean with only pascalnode plots in the branch.slurm-data-anal…slurm-data-analysis-plotsDelete Resampling_User_Accounts.ipynbDelete Resample_Array_Jobs.ipynbDelete Main_plots.ipynbIn this jupyter notebook , the best visualization plots which was created by performing analysis on slurm data.Throughput analysis for User account jobs.Throughput Analysis plot for Array Jobs.Deleting the additional rc_styles submodule.Deleting the additional rc_styles submodule.added darker gridlines to 3d graphsadded documentationorganized for better readbailityput graphs together in facet grids