Update analyze-twitch-data-with-sqlite.mdx

Author: sonnynomnom

projects/analyze-twitch-data-with-sqlite/analyze-twitch-data-with-sqlite.mdx

@@ -296,7 +296,6 @@ Here are some of mine:
 - _Who were the hottest rising streamers in 2021?_
 - _What are the most popular games in the stream table?_
 - _These are some big numbers from the game League of Legends (also known as LoL). Where are these LoL stream viewers located?_
-- _The player column contains the source the user is using to view the stream (site, iPhone, Android, etc). Create a list of players and their number of streamers._
 
 Let’s go through each of these one by one.
 
@@ -464,9 +463,10 @@ Lastly, filter the result with only the users in your country using a `WHERE` cl
 
 So now that we have done, let’s write down everything that we found thus far:
 
-> The top games on Twitch are [fill in].
-> The top country for League is [fill in].
-> The best hour to stream is [fill in].
+- The average viewers per stream for the top 1,000 streamers in 2021 is 4,776 viewers.
+- The rising stars in 2021 are auronplay, Rubius, TheGrefg, Bugha, and pokimane.
+- The top country for League is [fill in].
+- The best hour to stream is [fill in].
 
 This is a solid report. If you want to visualize it, you can use [Python](https://codedex.io/python), [NumPy](https://www.codedex.io/numpy), [Pandas](https://www.codedex.io/pandas), Matplotlib or Google Sheets / Microsoft Excel. 
 
@@ -484,12 +484,12 @@ Some other ideas include:
 - Can you _compare_ the two datasets? How are streamers in 2024 different from 2021 ones? Hint: Use a `JOIN` or a `UNION`.
 - Any other questions that you might have?
 
-Share your projects with the team [@codedex_io](https://www.twitter.com/codedex_io) and me, [@sonnynomnom](https://www.twitter.com/sonnynomnom) on Twitter/X if you find out something interesting! ✨
+Share your projects on GitHub or a video format in Project Showcase if you find out something even more interesting! ✨
 
 ## More Resources
 
-- Solution code
-- Kaggle
+- Solution code (coming soon)
+- [Kaggle](https://www.kaggle.com)