dataset analysis

Carry out a series of analyses of two datasets utilising the programming languages (R and Python), All deliverables should be compiled into an accompanying project report document for submission along with any programming code elements. Your project report (3000 words) should discuss the challenges that you encountered whilst handling your chosen datasets and the means and mechanisms you implemented to overcome these challenges.

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2,000 rows and 15 columns

Vehicles 2015 dataset with R
Accidents 2015 with Python

2,000 columns
15 rows
7 days: deadline

For each of the reports you should provide the following:

1. A description of the underlying datasets including an assessment of the data types
present, with an emphasis on the data that is actually used in the analytical processes

2. A description of the objective of the analysis with reference to basic domain literature
to explain the domain purpose of the analyses

3. A detailed set of design documents including design diagrams of the data processing
activities carried out, with flowcharts explaining software design, testing processes
and project result evaluation.

4. The presentation of the final analysis results along with any associated annotations and
supplementary information.

R - Accidents 2015
Python - Vehicles 2015

Skills: Data Processing, Python, R Programming Language

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About the Employer:
( 1 review ) Dublin, Ireland

Project ID: #12198030

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Hello! I`m interested in this project and I know R and Python well, but what is meant by analyses of datasets? What kind of analysis in needed?

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I am a PhD student pursuing doctoral studies in statistics. Previously, I graduated with a M.Sc. (Statistics) and earlier on I had finished my B.Ed. (Sciences) majoring in Double Mathematics from university. Among the More

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Hello....I would like to help you in this project...I'm experienced in R programming and can send you some samples of my work...

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I ain't an intermediate level freelancer, but i assure you i can provide you quality work. I hold a Bachelors degree in Statistics with strong background of Pure Statistics including a strong grip on statistical softwa More

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I have experience with R and Python. I take a scientific approach to my analyses and understand core statistical concepts such as multiple collinearity and variable scaling to ensure a quality result is delivered and a More

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i understand the projects needs and i can use my experience to do a perfect jib for you. choose me i will not disappoint. thank you for your time

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