The world leaders recently assembled at the #cop28uae climate conference in Dubai to discuss climate change, crisis, and its effects, among other rising matters across the globe. On this note, it is important to note the great importance of data analysis in tackling and creating solutions for climate change problems.

I am therefore presenting my recent project as a Data Analyst Intern at Alfido Tech on a Weather Dataset.
Using analytics tools of PowerBI and Power Query for cleaning, analyzing, calculations and Visualization.

Key Findings
📍The average temperature sits at 10.28° with minimum temperature at -23.30 and the maximum at 33.00
📍The month of January, February and March marks the period the temperature level fall between 0° to - 10° making them cold months.
📍The coldest month is the month of January while the hottest is the month of July.
📍At the lowest point of temperature, the windspeed is at it highest level
📍Cloudy weather was witness the most during the year followed by clear weather.
📍Wind speed in the distribution range at the average of 15.11 km/h to 18.11km/h
📍The distribution shows that 3pm as the hour of the day with the temperature at this peak while 5am marks the lowest temperature point.

Recommendation
📌Given the observed seasonal temperature trend, adequate measures should be put in place for those months (June, July and August) when the temperature will be high and month of January to March and some part of December as well when the temperature will be very cold as well.
📌Enough public enlightenment program champion by both the government, public and private sector to enlighten the public about the weather trend and how best to live within those period.
📌Adequate and massive investment in modern day weather equipment, technology and human resources.

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