Data Analytics Course Project Using the London Weather Data (Historical London weather data from...

Question

Data Analytics Course Project

Using the London Weather Data (Historical London weather data from 1979 to 2021) on Kaggle.com:

What are your relevant business objectives, and what is your overall project approach.

Draft a data analytics case design plan with major highlighted.

What are the major analytical steps in order to accomplish the final objectives.

Apply data analytics principles to the requirements

Align the analytics framework with specific business objectives

Complete a case design with highlighted analytical processes

Lay out key steps for the actual analysis work

Carry out the analytical tasks in details. This includes the actual modeling, the data treatment, the statistical analysis.

Some of the key tasks:

Develop a detailed analytical modeling process

Analyze major data resources, constrains, and costs

Apply at least one specific statistical analysis to the data

Complete the data model with major components

Final phase of data analytics project. With analysis results on hand, now you are applying them towards the business objectives. Keep in mind that the final outcome is a analysis report to demonstrate the conclusions from your analytical work, including how the results can be used for business objectives. Your final report must be business centric with data analytics as the supporting foundation.

Some of the key tasks of this final phase:

Continue the analysis results with at least one data visualization representation.

Combine all documents into a comprehensive business report

Mukesh · Accepted Answer

London Weather Data 
(Historical London weather data from 1979 to 2021)
Introduction
Climate change is undoubtedly one of the biggest challenges of our times. The increase of average temperature in the last centuries has already caused many harmful problems, like intense drought, storms, heat waves or rising sea levels. The primary objective of this exploratory data analysis is to uncover if the global trends are also visible in London’s weather.
Data 
About Dataset
Context
The dataset featured below was created by reconciling measurements from requests of individual weather attributes provided by the European Climate Assessment (ECA). The measurements of this particular dataset were recorded by a weather station near Heathrow airport in London, UK.
-> This weather dataset is a great addition to this London Energy Dataset. You can join both datasets on the 'date' attribute, after some preprocessing, and perform some interesting data analytics regarding how energy consumption was impacted by the weather in London.
Content
The size for the file featured within this Kaggle dataset is shown below — along with a list of attributes and their description summaries:
· london_weather.csv - 15341 observations x 10 attributes
1. date - recorded date of measurement - (int)
2. cloud_cover - cloud cover measurement in oktas - (float)
3. sunshine - sunshine measurement in hours (hrs) - (float)
4. global_radiation - irradiance measurement in Watt per square meter (W/m2) - (float)
5.

Data Analytics Course Project Using the London Weather Data (Historical London weather data from 1979 to 2021) on Kaggle.com:What are your relevant business objectives, and what is your overall...

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