Many open-source data are available via governments, organisations, companies, etc data platform. I selected some datasets from various sources and various domains and performed data analysis and visualisation. I am mainly using Python as programming language and only open-source tools/libraries. Some of my projects can be found below as example of data analysis.

Stade Rennais Football Club 22/23 season analysis Analyse and visualise the 22/23 season of Stade Rennais Football Club. Tools: Python, Plotly
Charging station locations for residential areas Methods to define charging station locations in residential areas. Tools: Python, QGIS	MOT data analysis Analysis and visualisation of MOT data after data storage comparison. Tools: Python, Plotly, Databricks
Essex population Analysis and visualisation of Essex population. Tools: Python, Bokeh	Essex ULEV Analysis and visualisation of Ultra Low Emission Vehicle (ULEV) in Essex. Tools: Python, Bokeh, Folium
Students Performance Analysis Analysis and visualisation of students performance. Tools: Kaggle notebook, Python, Plotly, PCA	Significant Earthquake Analysis and visualisation of world's significant earthquake. Tools: Kaggle notebook, Python, Plotly, PCA
Forecast Electricity Generation (UK) Forecast the electricity generation in the UK using machine learning. Tools: Colab, Python, Plotly, HTML	Public Cycle Hire (Rennes, Vélo Star) Analysis and visualisation of the public cycle hire service in Rennes (France). Tools: Python, Bokeh, Plotly, HTML
Underground Service (Rennes) Analysis and visualisation of the underground service in Rennes (France). Tools: Python, Bokeh	Maddison World Economy Visualisation of world economy data using Maddison project data. Tools: Python, Plotly, HTML
Population Ille-et-Vilaine (French Department) Analysis and visualisation of the population of the French department Ille-et-Vilaine. Tools: Python, Bokeh, MongoDB	French Population Visualisation of French population per department from 1968 to 2015. Tools: Python, Tableau