Basic instructuctions

Input a text to receive response from Alfarvis

Enter Bye to close the program

Alfa is data exploration and analysis software that uses natural language

To begin data exploration, you should first load a dataset using the "load command". For example "load tour de france dataset" to load a cycling dataset

To get a list of datasets that can be loaded, call "list files"

Once you have loaded a dataset, you can perform different sets of commands : visualization, statistics, machine learning

You can list commands using "list commands" or "list visualization/statistics... commands" for specific command list

You can also get individual help for each of the commands by calling "help [command name]"

Apart from the above commands, there are also data handling commands that can set row labels, set reference for setting legends etc

You can get a list of data handling commands by calling "list data handling commands"

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Load the breast cancer dataset and set reference to daignosis

User: load breast cancer dataset

Alfa:

Running command in background!

Loaded breast cancer tumor

Showing Statistics for breast cancer tumor

Loaded file: breast_tumor_data.csv

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User: set reference to diagnosis

Alfa:

Setting reference to diagnosis

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Example: Run PCA the whole dataset and visualize in 2D

User: pca on breast cancer dataset

Alfa:

Saving result to figure.1.pca.cancer.breast.tumor

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Run PCA on a subset of selected features

User: pca on area concavity fractal.dimension perimeter

Alfa:

Saving result to figure.2.pca

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Similarly, you can run Nonlinear Dimensionality Reduction Algorithms - Isomap, LLE, TSNE

User: isomap on breast cancer dataset

Alfa:

Saving result to figure.3.ismp.cancer.breast.tumor

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User: lle on breast cancer dataset

Alfa:

Saving result to figure.4.lle.cancer.breast.tumor

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User: tsne on breast cancer dataset

Alfa:

Saving result to figure.5.tsne.cancer.breast.tumor

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User: save notebook

Alfa: