Visualize
Displays rows from the taret dataframe as text to show what data is present in the dataset. It is common to want to see changes to a dataframe and you advance through different data processing steps. Visualize makes it easy to quickly see dataframe updates in file without digging through outputs or a terminal. Additionally, Visualize writes code pertinent to your environment whether it be a text code file or notebook.
Options
count: Specifies a count plot or visualization
Examples
Example 1 - View Most Recent Dataframe
The Visualize kit is frequently used to view data in a dataframe once it has been loaded, or once edits have been made to the dataframe. The kit simplifies seeing changes made to your data by printing the first lines of the current dataframe to your file as comments under the kit.
#> Visualize
AFLEFT print(appleStockDf.head()) #)1 AFRIGHT
Example 2 - Set Line Count to View
Sometimes, you want to see more than the first five lines of your dataset. To do this, you can use the count option to specify how many lines to view.
#> Visualize --count 10
AFLEFT print(appleStockDf.head(n=10)) #)2 AFRIGHT