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@@ -118,7 +118,9 @@ For this aim, I perfomed the following step:
 - Loaded the dataset from the Website Sentinelles 
 - Converted weekly data to dates and grouped it by epidemiological year (from September 1 to August 31)
 - Calculated the total incidence per epidemiological year
- 
+
+## Exercise for evaluation in pair
+
 Besides as part of *Mission 4*, I created a computational document by choosing **Subject 1: CO₂ concentration in the atmosphere since 1958**.
 
 In this project, I analyzed atmospheric CO₂ concentration data from the Mauna Loa Observatory, known as the **Keeling Curve**, covering the period from 1958 to the present.
@@ -126,15 +128,10 @@ In this project, I analyzed atmospheric CO₂ concentration data from the Mauna
 The analysis included:
 
 - Importing the dataset from the Scripps CO₂ Program
-
 - Visualizing the raw CO₂ time series to show seasonal oscillations and long-term trends
-
 - Performing seasonal decomposition to isolate and analyze monthly variations
-- 
 - Building a linear regression model to estimate the long-term trend
--
 - Forecasting CO₂ levels up to the year 2025
-
 - Computing yearly statistics (minimum, maximum, mean CO₂ per year)
 
 All steps were carried out using Python 3 in a Jupyter notebook.