Add data analysis sketch #10
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RavDanny
reviewed
Feb 1, 2019
| ## Analysis Basics | ||
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| * Accessing VDI | ||
| * The different NCI filesystems |
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Might be worth listing what they are, since people might know some but not others.
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| * Accessing VDI | ||
| * The different NCI filesystems | ||
| * Finding data recap |
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If this is for self-assessment, then I guess this should provide links to the "finding data" pages.
| * Writing Python scripts | ||
| * Testing analysis scripts | ||
| * Parallel processing with Dask | ||
| * Piplelines for processing lots of files |
| * Previewing files with ncview and xconv | ||
| * Creating plots with Matplotlib | ||
| * Maps and projections with Cartopy | ||
| * Plotting stats with Seaborne |
| * Maps and projections with Cartopy | ||
| * Plotting stats with Seaborne | ||
| * Importing data into GIS | ||
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Include 3D visualisation as an advanced skill set?
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| ## Data Formats | ||
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| * HDF5/NetCDF - Self-describing data |
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Maybe divide into reading and creating. For reading - ncdump.
Should CF standards be included here?
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| # Analysing Model Results | |||
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Do we want to divide into beginner and advanced skill sets like Claire was doing?
| * CDO and NCO commands | ||
| * CLEX Conda environments | ||
| * Using Jupyter Notebook | ||
| * Basic Pandas, Xarray and Matplotlib |
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Do we also want to include Numpy and Scipy here?
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