Apply data wrangling techniques to prepare your data

Assignment Help Strategic Management

Reference no: EM133553465 , Length: word count:700

TOPIC - DATA ACQUISITION, WRANGLING and EDA

Introduction
This assessment activity assumes that you have now identified a business problem and potential data sources / datasets that supports your business case. You will acquire suitable data and process your data to make it appropriate for later stages of analytics. This topic recognises the data could potentially be in a form that is not suitable for further processing and analysis. You will also explore the data with the aim of gaining preliminary insights and posing meaningful questions.

Details
By now, you should have identified a business problem. In this assessment activity, you will need to identify and acquire suitable data related to your business scenario and perform EDA. The outcome of this part leads you to the descriptive analytics which helps answer questions about what happened and summarises large datasets to describe outcomes.

At this stage, you should have a firm grasp of the way R (and RStudio) works. This activity will be using the features and packages in R to acquire and wrangle the data into a form suitable for further processing and analysis. Your chosen data should be ready for wrangling in R in preparation for EDA and the statistical analysis and modelling stages. This process may involve cleaning, classification, labelling and data retyping.

Requirements
In this activity you will need to identify and acquire quantitative data to analyse the problem you have selected and perform data wrangling and EDA on the data. To do this:
o Identify data sources and acquire your data. Note: Read the "Data Sources and Selecting Data" page from Topic 1 to understand the requirements for your data source. You should ensure that these requirements are met.
o Apply data wrangling techniques to prepare your data for exploratory analysis.
o Apply exploratory data analysis including graphical and non-graphical techniques to ensure that data quality issues are rectified, and production quality data is obtained.
o Formulate your questions including high-level and low-level questions that will lead your analysis to meaningful insights.
o With all findings from the above stages, you should be now able to summarise your findings as a part of the descriptive analytics phase. Write a clear, concise, and coherent description/summary of the dataset and what you have found from EDA of dataset in 300-400 words.

Deliverables
Prepare a report that includes the following:
o A brief description of your business scenario, data sources, and the data acquisition and wrangling techniques you have used (200-300 words)
o A clear, concise, and coherent description/summary of the dataset and what you have found from EDA in 300-400 words.
o Incorporate insightful graphs, tables etc. that you have developed to support your discussion into your report.
Expected total report word count: 500-700 words.

Reference no: EM133553465

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