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Collect the desired data (BDD)

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Function that Collect and Extract data the data from https://public.opendatasoft.com/explore/embed/dataset/arome-0025-sp1_sp2/table/ about the weather conditions in the metropolitan areas of France.

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Champs d'analyse et de prévisions en points de grilles, issus du modèle atmosphérique Arome sur la métropole.Paramètres, niveaux, échéances et domaines paramétrables selon diverses résolutions et échéances jusqu'à H+36h.Les paramètres suivants sont extraits:Température à 2 mètres du solHumidité relative à la surfaceSomme des précipitations depuis la date de référenceLes données brutes sont téléchargeables ici: https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=131&id_rubrique=51.

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Implement a program to access and extract the collected data

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Use Pandas library to analyse the data in the function meteo_statistics.py

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Analyse, collect statistics and operate with the extracted data

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Use the dataframes to extract useful statistics

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Use the last week's programs to develop a way to visualize the statistics obtained

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Produce images/graphs from the analysed data

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main project

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When all the modules until this one are ready, use argparse to create a command line program and finish the MVP

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Use Dash to improve the MVP

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Good README.md

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Comment them properly using RealPython recommendations

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Except for the README file, everyone do the comments inside your module, there's no need for one specific person to comment all the codes and do the README file :)

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Added new menu functions and corrected str to int

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https://www.canva.com/design/DAEv-VzPLkk/qjhe7NUjusEgpLAk7ofUGw/edit#

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Record of graphic interface

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To see the analysis of the temperature and also comparisons between different years

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Tests of the function in meteo_statistics.py

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The MeteorologiCS project makes it possible to analyze the meteorological data of the regions of metropolitan France over the last 10 years, through a graphic visualization, in order to see the impact of global warming in France.