Adding data, update README

README.org

@@ -1,3 +1,10 @@
-* Test
+* Introduction
 
-test12
+This repository is described in [[https://mishathings.org/2024-08-12-how-much-co2-has-been-emitted-in-my-lifetime.html][this]] blog post.
+
+You can find here:
+
+- A Jupyter Notebook that produces the graph I describe in the post.
+- A html export of that notebook.
+- The data that the code works with (although it also allows for the fetching of data online)
+- The code that runs on my VPS, which produces this interactive graph: http://mishathings.org:8050/

interactive-plot.py

@@ -6,11 +6,10 @@ import dash_core_components as dcc
 import dash_html_components as html
 from dash.dependencies import Input, Output
 
-
 # The code below fetches the data from the "Our World in Data" Github page. 
 # This is the data behind this graph/table: https://ourworldindata.org/grapher/cumulative-co-emissions
 # If the url does not work you can also use the data provided, by uncommenting the line below.
-df = pd.read_csv('/home/misha/Nextcloud/scripts_misha/klad/data/owid-co2-data.csv', header =0)
+df = pd.read_csv('owid-co2-data.csv', header =0)
 # df = pd.read_csv('https://nyc3.digitaloceanspaces.com/owid-public/data/co2/owid-co2-data.csv', header=0)
 
 # Select only data for World
@@ -94,7 +93,7 @@ def update_graph(year_born):
         name = '')
     ])
 
-    subtitle= "See:  <a href=\"https://git.pub.solar/misha/share_CO2_generation\">https://git.pub.solar/misha/share_CO2_generation</a> (original from <a href=\"https://x.com/neilrkaye/status/1365247133507604486\">https://x.com/neilrkaye/status/1365247133507604486</a>)"
+    subtitle= "See:  <a href=\"https://git.pub.solar/misha/CO2-generation\">https://git.pub.solar/misha/CO2-generation</a> (original from <a href=\"https://x.com/neilrkaye/status/1365247133507604486\">https://x.com/neilrkaye/status/1365247133507604486</a>)"
     explainer = "If you were born in %s, %s%% of<br>the total amount of CO2 that has <br>been emitted since 1750, has been<br>emitted in your lifetime." % (int(df['year'].iloc[year_born_index].item()), int(df['share_gen'].iloc[year_born_index].item()))
 
     (int(df['year'].iloc[year_born_index].item()), int(df['share_gen'].iloc[year_born_index].item()))