From e4f5bd8e1345f104bc3d743ef62a69de94d67397 Mon Sep 17 00:00:00 2001 From: Elijah Meeks Date: Wed, 13 Sep 2023 21:49:07 -0700 Subject: [PATCH] Update index.mdx --- blog/dataframes/index.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/blog/dataframes/index.mdx b/blog/dataframes/index.mdx index a5a5930..1a769df 100644 --- a/blog/dataframes/index.mdx +++ b/blog/dataframes/index.mdx @@ -114,7 +114,7 @@ Even though ten rows of data is not a great representation of the data, seeing i That’s why we integrated a data visualization prototyping environment called Data Prism into DEX. Data Prism uses a heuristic approach to suggest multiple chart views into the tabular data in the dataframe. They’re like faceting the data but the facets are different views instead of just different metrics or dimensions. These might not be great views into the data but they serve as jumping-off points for better understanding the shape of the data in the same way that the html table view helps analysts and scientists think about their data. -We’ll never get away from tables because tables are the fundamental currency of communicating data. Even when you’re working with exotic data structures (hierarchical data, networks, vectors) eventually they become tables due to the accessibility of that representation. And it’s not just native python table data, it takes little effort to envision CSVs as dataframes, Tables as dataframes, Spreadsheets as dataframes (especially now that Excel has integrated python) and SQL databases as dataframes. +We’ll never get away from tables because tables are the fundamental currency of communicating data. Even when you’re working with exotic data structures (hierarchical data, networks, vectors) eventually they become tables due to the accessibility of that representation. And it’s not just native python table data, it takes little effort to envision CSVs as dataframes, Tables as dataframes, Spreadsheets as dataframes (especially now that Excel has integrated python) and SQL databases as sources or sinks for dataframes. ## Answers in Service to a Solution