About Page

About Sweet Data Pie

Sweet Data Pie (SDP) is a website that was created to showcase the skills of its creator Alonzo Roberts. All the projects that you have seen here have been created by me. Also, the website and its content have been built by me on top of a template provided by HTML5 UP named Phantom. Images and Lottiefiles have been credited on the appropriate page. I will delve into my analytical skillset after my other skillsets are expounded on.

About The Sole Developer of SDP - Alonzo Roberts

Alonzo Roberts is a talented data analyst. On this very website, you can see numerous projects he created in Python, Streamlit, Tableau, and PowerBI that put his analytical dexterity beyond peradventure. He also utilized his repertoire of graphic design to create the logo and his knowledge of web development to create the site. He graduated with a Bachelor of Arts in Economics with a GPA of 3.45 and a major GPA of 3.75.

At the end of this section, there will be a timeline of a sample of Alonzo’s accomplishments. These include receiving handwritten recognition from a former President of the United States for academic achievement to being recognized as the hardest-working person out of a group of 2,000 of his peers. Alonzo can work well individually (as demonstrated) and in collaborative projects.

In addition to this Alonzo is an excellent writer. Moving responses enabled him to be a paid intern at Columbia University in New York City with all expenses paid the summer after he completed his collegiate freshman year. The (presumedly) glowing letter of recommendation from his English professor of two semesters, who is also an author and playwright, enabled him to intern at the highly competitive program that only had a 4% acceptance rate. (The letters were sealed but the results of it betrays its impactful commemoration). He has two published articles touching on economic concepts and developments in a manner that is edifying to those almost completely unfamiliar with economic concepts. Both publications are available to read on the designated page.

Alonzo is also an excellent presenter and public speaker. He gained some experience as a juvenile when he earned his public speaking merit badge while in the Boy Scouts. In high school, his speech on Chicago Violence impressed Mikva judges (representing the Mikva challenge) and made him eligible to participate in the citywide program due to the high marks he received. For his International Baccalaureate Business and Management class, he led a team that created a shark tank-style business plan presentation. The presentation was so well received that he with his partners pitched to actual venture capitalists. In college, he also excelled in a public speaking communications course. He also was part of The Student Advisory Board. The Student Advisory Board was a small council of undergraduate constituents that lobbied for the interests of tens of thousands of their fellow students. Alonzo championed preemptively increasing campus security and modestly raising financial aid-eligible tuition in order to preserve the quality of education and competitiveness of the various colleges.

While much more could be said concerning Mr. Roberts’ experience and background the above information should hopefully suffice. More information concerning his analytical background will be posted further down this very page after the subsequent timeline.

Data Skillset Et al.

Above you can observe some of the software I utilized in the past. This is not an exhaustive list. Much of the software shown above has been used to create projects on this website in some form or fashion. I had to learn Stata for my undergraduate econometrics course. Besides Stata and the Microsoft suite I learned this software of my own volition. Meaning I had to take the initiative and teach myself. I could be classified as an autodidact in that regard. Virtually everything that I learned was on my own dime, time, and volition.

The projects featured on this site include Python. Python is a very popular programming language that has often been used in data science and analysis. I have utilized Python in tandem with Streamlit. This enabled me to create data analysis applications hosted on Streamlit’s cloud.

In the featured projects I have also used essential packages such as pandas and NumPy. I have utilized a package called Plotly to create visualizations that contain more information than its counterparts in Seaborn and Matplotlib. For example in Plotly hovering over data points give more information and the visualization appears in a non-static way. This is not possible in Seaborn.

I have done some training in SQL. SQL has some striking similarities to the syntax of R. (At least piping data is reminiscent of SQL queries). R has some similar features to Python. It even has some of the same libraries such as Plotly. I prefer Python over R. Many analysts who started out with R are starting to migrate towards Python from what I read. I dabbled into R after learning Python and I prefer the latter much more which is a common sentiment amongst other analysts.

I have many other data analysis skills. For example, I can create maps in Python’s folium. An example of this can be found in the New York Squirrel Project. However, I believe that these projects that I created have demonstrated my ability. You have also witnessed it firsthand.

Benefits of Knowing PowerBI and Tableau

I have utilized Tableau and PowerBI for several projects featured on this site. I first learned Tableau and then I picked up PowerBI. Surprisingly I am starting to gravitate towards PowerBI more. PowerBI gears itself more towards large-scale projects with many ad-hoc questions. For example, if you look at the Chicago Crime project you can answer a plethora of questions in regard to Chicago’s crime. (If you have seen the project, you will likely affirm this). Replicating this project in Tableau would be somewhat tedious and unintuitive, even though it would be possible.

Tableau is a more rigid dashboard design software when compared to PowerBI. In certain ways, it is better. For example, Tableau includes a robust histogram maker within the software. In PowerBI a plugin is needed to make a histogram and none of them perform nearly as well as Tableau does. Tableau may also feel sleeker to some people. Good presentations can be created in the software. (PowerBI can function within PowerPoints, but I have not yet explored that feature). Publishing is easier in Tableau; however, projects gain much more views in PowerBI Data Stories in my own experience.

Design Skills

Bear in mind that I created the SweetDataPie logo. While it is not perfect it is creative and aesthetically pleasing. The logo is made by using lines and basic shapes. Fonts free for any uses have been incorporated into the design. My design skills enable me to enhance data analysis projects.

Now What?

Next Steps: Contact

If you liked what you have seen and read feel free to head over to the contact page. There you will learn about ways that you can reach me. Thanks for stopping by. There may be other projects and content on other pages that you can review as well.