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One feature we would like to introduce is the ability to show categorical data in a dataframe with natural label. Categorical data is encoded with a numerical key and generally text value, such as Dict( 1 => "january, 2 => "february", 3 => "march", ...). When looking at a dataframe, the current view shows the numerical keys, because these indicates are saved in the original data.
The example below is manufactured, but shows what the current view will look like.
Instead we would like this data to display in a more natural and intuitive manner, showing the text labels. And example of this would look like:
Row │ month sensor1
│ String Float64
─────┼───────────────────
1 │ january 2.1
2 │ february 2.4
3 │ march 5.1
One step to doing this is with potentially separating the LabelledArrays type from the ReadStatTables.jl package.
We have asked if the owners of that package could separate the LabelledArrays type into a separate package. That way, we could import just the array type, and not the entire ReadStatTables.jl package as a dependency.
One feature we would like to introduce is the ability to show categorical data in a dataframe with natural label. Categorical data is encoded with a numerical key and generally text value, such as
Dict( 1 => "january, 2 => "february", 3 => "march", ...)
. When looking at a dataframe, the current view shows the numerical keys, because these indicates are saved in the original data.The example below is manufactured, but shows what the current view will look like.
Instead we would like this data to display in a more natural and intuitive manner, showing the text labels. And example of this would look like:
One step to doing this is with potentially separating the
LabelledArrays
type from theReadStatTables.jl
package.We have asked if the owners of that package could separate the
LabelledArrays
type into a separate package. That way, we could import just the array type, and not the entireReadStatTables.jl
package as a dependency.We are tracking that request at:
junyuan-chen/ReadStatTables.jl#41
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