Hi, I'm Pete (Plamen), a Data Analistt from Florida & around...

Data analytics and technology is my passion. I love swimming and going to the gym. However, the best time is spent with The Big Boss (my little one). While my language expressivity in a couple of tongs is on my site, there are quite a few exceptions too.

Any entity to thrive and reach its full potential in the 20th century, must reach away beyond wild guessing of how many of your preferred candies are likely to end up in your bucket.

Aristotle once said:

“Knowing yourself is the beginning of all wisdom.”

All should begin with asking and asking, and asking again, and clarifying the right questions needed for data analysis. As simple and obvious as it sounds, asking the right question and clarifying it, has been missed more than we care to admit.

bikeshare project

A bike rental business is analyzing how different customers are using the service. There are two main user groups - members and casual users. Management, the director of marketing, in particular, is looking to increase the number of members, as this is an annual membership. One of the key questions in this data analysis (DA) process is: what is the difference in how casual and members are using the bike rental service?

Detailed information on the entire process and tools that have been used is available at the Project Page, bikeshare project

Analyzing Bike-share Renting Services

This project will use Cyclistic’s historical trip data to analyze and identify trends.

Data analysis 6 stages are:

1. Asking the right question and defining/clarifying the question.

2. Prepare the needed data. Collection of data, organizing data in a useful form.

3. Processing and cleansing data.

4. Analyze – requested mean, median, and mode for trips and visualizing.

5. Share and

6. Act – the bike-share executive team must approve the marketing plan

honey bee project

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