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Homework answers / question archive / Curtin College In Association With Curtin University Fundamentals of Programming (FOP1005)Assignment 1 Overview You work as a Data Analyst for a cryptocurrency company that is wanting some insights on the Android app store market before it launches its new app onto the Google Play Store
In Association With Curtin University
Fundamentals of Programming (FOP1005)Assignment 1
You work as a Data Analyst for a cryptocurrency company that is wanting some insights on the Android app store market before it launches its new app onto the Google Play Store. Android is the world’s most popular mobile phone operating system and has captured just over 71% of the total market. You have been asked to present an analysis of Google Play apps so that the team gets a good understanding of the different categories of apps, their ratings, and other metrics.
In this assignment, we will analyze the Android app market by comparing 10,842 apps on the Google Play Store across different categories. We will also use the user reviews and ratings and other attributes to draw comparisons between the apps.
The dataset you will use was scraped from the Google Play Store in September 2018 and was published on Kaggle (https://www.kaggle.com/lava18/google-play-store-apps/version/6). Please use the data files included on Moodle and not from this link since the Moodle files have been changed.
The coding portion of this assignment is broken up into three main tasks. There is also a report section of the assignment. The three main coding tasks are:
The apps.csv file contains all the details of the apps on Google Play as a comma-separated value (CSV) file. Before going on to the next tasks you’ll need to read this file and store this data in a list or an array. Discuss which option you chose and why in the User Documentation.
There are 6 attributes that describe a given app in the apps.csv file, they are:
Some of the apps are missing ratings. These apps have an empty value as a rating instead of an actual number. Handle this in a way you think best and discuss your solution in the User Documentation.
Once you have read in the data from the file, your next task is to display a menu asking the user which of the following options they wish to perform:
This menu option allows the user to add filters to the data read in from the CSV file to help gain insights into the data. The user should have the ability to add filters on category, rating, reviews and installs. The user should also be able to add filters on multiple of these attributes. You don’t need to have the option to remove a filter once it has been added, although you can if you would like to. This is how adding a filter to each attribute should work:
For all the filtering operations above, you need to ensure the values entered by the user are valid. Invalid values should be shown an error message. When asking the user to enter a value you should display the lower and upper bounds that the value needs to be between.
This option should print the app names remaining after the filters are set. Note that only the app names need to be printed and any of the other attributes.
This option should graph the app data remaining after the filters are set. When the user chooses this option they should be asked what data they want to plot on the x-axis. The options are categories, ratings, reviews, installs and prices. The y axis should always be the number of apps. The x-axis and y-axis should be labelled and the graph should have a title. It is up to you as to what type of graph you want to use to plot the data (bar, line, histogram etc). Bear in mind that some graph types are better suited for different types of data. Explain in your User Documentation what graph types you used and why.
Your code submission must conform to coding standards emphasised in the lecture and practicals. Your code should also make use of multiple functions to reduce code duplication.
Your code should also follow the program layout structure on slide 52 of lecture 4. Note, your code won’t look the same as the code on that slide but the order of the sections should be the same. Remember, consistency is key!
You need to submit User Documentation as well as a Report, both of which should be in a doc/docx or pdf format.
Your User Documentation will be a minimum of 2 pages long and should include the following:
The user documentation will be used and referred to by the programmers in the data analysis team at your ‘ workplace’ to get an understanding of your code.
Your report will be a mini-paper that is 2-3 pages long and should follow the structure of a standard academic report. This is what will be used by the data analysis team at your work to make decisions about the app launch. As a result, this report should discuss the insights you found in the app data using your program. Such as, how competitive is the finance app category compared to other categories? What are the distribution of finance app ratings and installs like?
What are some of the top apps in the finance category and so on? The required sections are:
(You can find examples on google but do not copy and paste. Just use the examples as a reference)
Submit electronically via Moodle. Make sure to submit early. You can submit multiple times – we will only mark the last attempt. Take care not to submit your last version late though. Read the submission instructions very carefully.
You should submit a single file, which should be zipped (.zip). The file must be named
FOP_Assignment_<student id> where the <student id> is replaced by your student id ignoring the angle brackets. There should be no spaces in the file name; use underscores as shown.
The file must contain the following:
Make sure that your zip file contains what is required. Anything not included in your submission may not be marked, even if you attempt to provide it later. It is your responsibility to make sure that your submission is complete and correct.
Please note, as specified in the unit outline, it is necessary to have attempted the assignment in order to pass the unit. Section 2.5 of the Unit outline explains the weightage associated with the assignment, which is 30% of the overall unit. As a guide, you should be able to achieve around 50% for this assignment to pass the unit.
Plagiarism is a serious offence. This assignment has many correct solutions so plagiarism will be easy for us to detect (and we will). For information about plagiarism, please refer to http://academicintegrity.curtin.edu.au.
In the case of doubt, you may be asked to explain your code and the reason for choices that you have made as part of coding to the unit coordinator. A failure to adequately display knowledge required to have produced the code will most likely result in being formally accused of cheating.
Finally, be sure to secure your code. If someone else gets access to your code for any reason (including because you left it on a lab machine, lost a USB drive containing the code or put it on a public repository) you will be held partially responsible for any plagiarism that results.
As specified in the unit outline, you must submit the assignment on the due date.
Acceptance of late submissions is not automatic and will require supporting documentation proving that the late submission was due to unexpected factors outside your control. See the unit outline for details as to the procedure for requesting that an assessment be accepted after the due date.
Also, note that IT-related issues are almost never a valid excuse.
In the event that you submit your assignment late and are deemed to have a valid excuse, you will be penalised 10% (that is, 10% out of 100%, not out of what you would have received) per calendar day that you are late, up to a maximum of seven (7) calendar days. Any work submitted after this time will not be marked and you will automatically fail the unit. Note that if you are granted an extension you will be able to submit your work up to the extended time without penalty – this is different from submitting late.
This assignment specification may be clarified and/or amended at any time. Such clarifications and amendments will be announced on the unit’s Moodle page. These clarifications and amendments form part of the assignment specification and may include things that affect mark allocations or specific tasks. It is your responsibility to be aware of these by monitoring the Assignment section of the unit’s Moodle page.
