From e300513726780cddb7fc12ce67ad3b7063bb7f43 Mon Sep 17 00:00:00 2001 From: f8dc60cab5180566667b00ce62a51ae7 Date: Tue, 24 Jun 2025 19:07:11 +0000 Subject: [PATCH] Update logbook.md --- journal/logbook.md | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/journal/logbook.md b/journal/logbook.md index 999ba30..df88e80 100644 --- a/journal/logbook.md +++ b/journal/logbook.md @@ -118,4 +118,24 @@ 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 + +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. + +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. -- 2.18.1