Post 21: Research Study

Post #21 - As part of this post you need to complete a Research Study. Look at the following Brief and decide which areas interest you the most and start collecting the relevant data.

When completed you must post this on your blog (AS Post #21)

Choose 4 factors:

Election

Backstop

Brexit
Boris Scandal

Generate anomaly dates.

The following research study shows anomaly dates using 4 factors relevant to one another over a period of time, these factors include: Election, Backstop, Brexit and Boris Scandal.

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FutureLearn Week 2: Post 3 of 4

Two of the biggest challenges of big data is Analysing and Visualising the data. Firstly with analysing the data, the size of big data files can sometimes be substantial, there are many things that must be considered before downloading the data, for example the file size, how long the data file will take to download, will all of it be necessary or will part of the file suffice and is there enough storage space within the system itself. Visualisation is way to represent the data in a way that is easier to understand such as word clouds and things of the like. This will aid users in seeing the prominent and key terms from the analysis of the data sets. The first step after downloading the data would be to quality check it to ensure that each field had the appropriate data types in each field and to ensure that the user understood the meaning of each field. Keeping a copy of the original data would be essential as well as each documented version change for each stage of visualisation....

FutureLearn Week1: Post 3 of 3

In the video for futurelearn activity 3 it was discussed how big data can help in industries. With regard to the retail industry, retailers around the world are making use of big data to aid them in understanding their customer base and managing the supply. The advertising industry makes use of big data for online advertising, real-time buying and selling.

Post #6: Traditional Statistics: Descriptive and Inferential in Big Data

Two types of Traditional statistics in Big data include Descriptive and Inferential. Descriptive means averages and working on sets of numbers. Descriptive statistics is a type of statistic in which a data set is summarised and the characteristics are described. This descriptive data is usually displayed through the use of tables, charts etc. but is most commonly reported as a measure of a central tendency. A central tendency is a typical value for a distribution, it is also been known to be called a location or centre of the distribution. The arithmetic mean is the most common measure of a central tendency, this is the median and the mode. The mean is the average of all the values, the median is the exact middle of the data set while the mode is the most frequent value in the data set. The goal of traditional statistics is analysing and summarising data, providing tight assumptions about the problem and data distributions as well as using conservative techniques and approaches....

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