While learning about Embeddings in ML, I realised the need of Data Explorer. Our Team is adding AI developmnet skills.

Data can be one dimension or two Dimension

  • series for one dimension
  • dataframes for two dimension

Examples

One Dimension

fruits = Explorer.Series.from_list(["apple", "mango", "banana", "orange"])
#Explorer.Series<
  Polars[4]
  string ["apple", "mango", "banana", "orange"]
>

Two Dimension

mountains = Explorer.DataFrame.new(name: ["Everest", "K2", "Aconcagua"], elevation: [8848, 8611, 6962])
#Explorer.DataFrame<
  Polars[3 x 2]
  name string ["Everest", "K2", "Aconcagua"]
  elevation s64 [8848, 8611, 6962]
>

We will update with better examples.

references