From 7496cf2c7719cf8fbaf57b3942e18571d4a7859a Mon Sep 17 00:00:00 2001 From: Elijah Meeks Date: Thu, 14 Sep 2023 13:42:33 -0700 Subject: [PATCH] Update blog/dataframes/index.mdx Co-authored-by: Noel Cothren --- 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 3a6d6a8..67733fa 100644 --- a/blog/dataframes/index.mdx +++ b/blog/dataframes/index.mdx @@ -108,7 +108,7 @@ We expanded on Data Explorer with Noteable’s DEX, a fully-functional BI experi ## The Secret Power of Dataframes -All that functionality describes but it isn’t sufficient to explain why dataframes proved so popular. Dataframes provide an immediate answer to that critical question “What does my data look like?” More importantly, they provide an answer in service to a solution. When you’re working with data you need answers, even when they’re not great. Take any world-class algorithm that’s a part of your life and if you go back to the beginning of its life you’ll find a data scientist looking at an HTML table of data. The top 10 rows of a dataframe, though simple and naive, give analysts, engineers and scientists the raw material to pose questions for analysis and modeling. +All that functionality describes but isn’t sufficient to explain why dataframes proved so popular. Dataframes provide an immediate answer to that critical question “What does my data look like?” More importantly, they provide an answer in service to a solution. When you’re working with data you need answers, even when they’re not great. Take any world-class algorithm that’s a part of your life and if you go back to the beginning of its life you’ll find a data scientist looking at an HTML table of data. The top 10 rows of a dataframe, though simple and naive, give analysts, engineers and scientists the raw material to pose questions for analysis and modeling. Even though ten rows of data is not a great representation of the data, seeing it enables you to ask the next question, get the next not great answer, and work toward a solution. LLM interfaces like ChatGPT have reminded us that people are comfortable with not great and even ephemeral answers when they are in service to a solution. Any user of ChatGPT can point to a pile of mixed up, hallucinated and simplistic answers that helped them work toward their solution.