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DMNFARRELL.GITHUB.IO

DataExplore

Raquo; Example: importing and plotting arctic sea ice extent data. Raquo; Adding annotations to plots. Raquo; Version 0.7.0 released. Raquo; Combining different plots in a grid layout. Raquo; Creating columns with functions. Raquo; Version 0.6.0 released. Raquo; Example: plotting miRNA abundance data (advanced). Raquo; Categorical plotting with the factor plots plugin. Raquo; DataExplore plugins. Raquo; Looking at the Titanic dataset. Raquo; Fitting models with DataExplore. Raquo; DataExplore Screencast.

http://dmnfarrell.github.io/

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DataExplore | dmnfarrell.github.io Reviews
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Raquo; Example: importing and plotting arctic sea ice extent data. Raquo; Adding annotations to plots. Raquo; Version 0.7.0 released. Raquo; Combining different plots in a grid layout. Raquo; Creating columns with functions. Raquo; Version 0.6.0 released. Raquo; Example: plotting miRNA abundance data (advanced). Raquo; Categorical plotting with the factor plots plugin. Raquo; DataExplore plugins. Raquo; Looking at the Titanic dataset. Raquo; Fitting models with DataExplore. Raquo; DataExplore Screencast.
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DataExplore | dmnfarrell.github.io Reviews

https://dmnfarrell.github.io

Raquo; Example: importing and plotting arctic sea ice extent data. Raquo; Adding annotations to plots. Raquo; Version 0.7.0 released. Raquo; Combining different plots in a grid layout. Raquo; Creating columns with functions. Raquo; Version 0.6.0 released. Raquo; Example: plotting miRNA abundance data (advanced). Raquo; Categorical plotting with the factor plots plugin. Raquo; DataExplore plugins. Raquo; Looking at the Titanic dataset. Raquo; Fitting models with DataExplore. Raquo; DataExplore Screencast.

INTERNAL PAGES

dmnfarrell.github.io dmnfarrell.github.io
1

DataExplore Screencast

http://dmnfarrell.github.io/dataexplore/2015/06/27/screencast

This screencast goes through some of the main features of the application using some simple sample data generated within the program. Note there is no audio narration but most of the content is self-explanatory. Laquo; Educational software for data analysis. Zenodo and sharing your software ».

2

Combining different plots in a grid layout

http://dmnfarrell.github.io/dataexplore/2016/01/16/combine-plots

Combining different plots in a grid layout. The default plotting mode in DataExplore is to continually overwrite the plot window based on the currently plotted data. Some of the plotting options will generate multiple subplots but these are re-created in one step. For some applications you will want to combine different ways of looking at the data in one plot or plots from different tables. It is also possible to use the grid to make an inset plot. You simply plot as normal, then don’t clear the plot...

3

Example: plotting miRNA abundance data (advanced)

http://dmnfarrell.github.io/dataexplore/2015/12/11/mirna-case-study

Example: plotting miRNA abundance data (advanced). Viewing the miRNA abundance data. However to better represent distributions over multiple samples it is better to have the samples in rows and miRNAs in columns. That is we should transpose. Adding per sample labels. Download the table here. Combining multiple sample labels with miRNA expression data. We now want to add the sample labels to the data before we can plot. This means merging the 2 tables. We want to use the factor plotting plugin to ...Melt ...

4

Looking at the Titanic dataset

http://dmnfarrell.github.io/dataexplore/2015/09/15/titanic-example

Looking at the Titanic dataset. The Titanic data used here formed the basis of a Kaggle. Getting Started Competition which provide a teaching guide for machine learning. In this contest, students were asked to predict which people were likely to survive based on the data. Here we will simply use the same data to show simple exploratory methods for beginners. The accompanying screen cast goes through most of the same steps. The best way is often with simple plots. How are ages distributed? You can do the ...

5

Categories

http://dmnfarrell.github.io/categories.html

Example: importing and plotting arctic sea ice extent data. Adding annotations to plots. Version 0.7.0 released. Combining different plots in a grid layout. Creating columns with functions. Version 0.6.0 released. Example: plotting miRNA abundance data (advanced). Categorical plotting with the factor plots plugin. Looking at the Titanic dataset. Fitting models with DataExplore. Educational software for data analysis. Zenodo and sharing your software.

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dmnfarrell.github.io dmnfarrell.github.io

DataExplore

Raquo; Example: importing and plotting arctic sea ice extent data. Raquo; Adding annotations to plots. Raquo; Version 0.7.0 released. Raquo; Combining different plots in a grid layout. Raquo; Creating columns with functions. Raquo; Version 0.6.0 released. Raquo; Example: plotting miRNA abundance data (advanced). Raquo; Categorical plotting with the factor plots plugin. Raquo; DataExplore plugins. Raquo; Looking at the Titanic dataset. Raquo; Fitting models with DataExplore. Raquo; DataExplore Screencast.

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