Update description

app.py

@@ -295,28 +295,6 @@ st.set_page_config(layout='wide')
 st.plotly_chart(f, use_container_width=True, theme=None)
 
 col1, col2, col3 = st.columns(3)
-col2.markdown("""
-# What is this?
-
-I want to challenge myself to make a visualization I'm proud of.
-
-If I ever find myself thinking
-> I could probably clean that up but ugh that would be annoying I don't wanna
-
-then I absolutely have to clean that up.
-
-That's about the end of my thought process.
-
-
-I've seen a few antitrust cases involving Big Tech companies in the news recently.
-Those articles make me curious how common antitrust cases are in general.
-
-How many does the DOJ file each month?
-Are the numbers pretty consistent or are there large swings?
-
-What does it look like?
-""")
-
 col2.markdown("""
 # The data
 
@@ -342,12 +320,15 @@ November 2022 (4)
 There are some obvious problems with this data.
 For example, I found [a Wikipedia article about U.S. antitrust law](https://en.wikipedia.org/wiki/United_States_antitrust_law).
 That page refers to a case that happened in 1943, but my data doesn't have any cases in 1943.
-My best guess is that this data only includes records the DOJ has digitized and made available on their website.
+I looked up the case (American Medical Association v. United States, 317 U.S. 519 (1943)) to see what the deal was.
+I think that case, like the current case against Meta, was filed by the FTC—not the DOJ.
+So this data is definitely not a complete record of U.S. antitrust cases.
 
 There's also at least one typo in this random menu on the DOJ's website.
 For the annual count of all cases opened in 2022, they list the correct amount but they label it "2026" instead.
 I didn't notice any other typos.
-I'm sure there are a few I missed.              
+I'm sure there are a few I missed.
 
-As I said above, I just want to turn some data into a pretty plot.
-""")
+That being said, this data is more than good enough for my goal.
+I just want to vaguely describe the trend of antitrust cases with a pretty plot.
+""")