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Google Play Store Market Analysis: What App to Create?

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Introduction Choosing the right app to create is not an easy task. Using t he Play Store apps data has enormous potential to make the task easier and drive your app-making businesses to success. Today, our team will introduce you to actionable insights that can be drawn to work on and capture the Android apps market! Let’s dive into a  journey of using data science for figuring out the next steps for a profitable business strategy. Method of Data Acquisition First, we scraped the data using permutations: Basically extracts id’s of an app in that order: a, aa, ab, ac...z ,za , zb . Then, used repository google_play_scraper to turn IDs into usable information and wrote it into a csv : This has yielded 19772 pieces of information including the following types of data: Data Analysis Strategy Used To analyze the data, our team first scraped useful data from the Google Play market ( https://play.google.com/store ).  For each app on the Play Market, the following information was obta...

Scraping Fafa.kz for Almaty Delivery Market Insights

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Project Repository Willing to start a delivery business at Almaty? Here are some insights into the market… In this project, I: Scraped the data from the  https://fa-fa.kz/search_load/gruzy-almaty/   Cleaned Data   Introduced Data  Did an Exploratory Data Analysis  Answered 3 Business Questions   Presented Suggestions on a profitable business model 1.       Scarping Data Scraped the data using the Beautiful Soup module, a function that iterated the scraper till the last page (see fafa_Almaty.py ), and formatted it into a dictionary. Later, I wrote all the data into a csv .    Picture 1.  fafa_Almaty.py As an output, I got the fafa_Almaty.csv file containing the following information about every delivery: Destination of the delivery, Price, Product Name, Special Requests (Truck type).   Picture 2.  fafa_Almaty.csv 2.       Cleaning Data *For more details find the fafa_...