Zomato Data Analysis and Visualization
Zomato
According to CrunchBase a leading destination to gain company insights, Zomato is an online restaurant guide and food ordering platform that allows users to order meals from restaurants and have them delivered. They deliver to millions of users, across various countries daily.
However, the higher the customers, the more the data, and this should raise concerns for any company. What are these concerns, well, I will itemize them here
- What’s our customer reach daily?
- How many countries and cities do we operate in?
- Do our customers, prefer online orders or not?
- What’s the most used currency on the zomato platform?
- What cuisines are the most ordered?
- Which country or city gave us the worst rating due to services from our employees?
The list of questions goes on and on. All these questions and more can be sufficiently answered with the Power of Data Analytics
Data Analytics
Data Analytics is a scientific process of drawing meaning from raw or cleaned data. It involves several processes that involve data collection, data cleaning, analysis, interpretation, and drawing conclusions.
Data Analytics with Python is so cool, you could check the documentation here.
Data Analytics is really about giving good answers to business questions, if that’s not achieved, then nothing has been done.
Techniques
- Understand the business problem — As we have seen, some of these problems have been itemized in the introduction part of this piece. Every day, businesses are trying to make more profits and satisfy their customers at the same time. Data Analysis is a strong weapon that could help achieve this desired result.
- Data Collection — Data collection is the means of getting the data, data could be gotten from the database using tools like SQL, and web scraping from websites too are effective for data collections using a tool like Beautiful Soup, a python library.
- Data Exploration — Data exploration involves using statistical methods to bring insights from data through graphical representations.
4. Data Preparation — Data gotten from the internet, forms, databases, or physical meetings are always messy, we could have missing values, wrong values in the wrong place, and many other things.
5. Data Analysis — It seems fascinating, that data analysis is a technique in data analysis. Looks somehow right?😂😂 Well let’s see.
Data actually needs to be analyzed which means checked through, in-depth to make inferences and conclusions to help business decisions.
6. Present your findings — This is the final and most important part of the whole process. No one cares about your analytical skills or the tools that you use. What the business owners want is your findings from the data and how they can influence their business positively.
Alright, I know you must be saying at this moment. Isn’t it the right time to get back to zomato data analytics and visualization at this moment?
Well, that will be covered in the next piece, click here(PT2)
Thanks for reading to this end! See you in the next part to get techy with python 😜😜
