2024-10-27 –, CLASS #2
Language: English
The "Data Slices" series showcases aesthetically pleasing data visualizations created using Python libraries such as Matplotlib, Seaborn, and other advanced visualization libraries. Each visualization is meticulously curated to reveal hidden beauty and intriguing insights within seemingly ordinary data. The series covers various topics, including a popular episode where I tracked my daily mood throughout 2023 and transformed it into an engaging visualization, complete with a report card summarizing mood trends. "Data Slices" has been featured on platforms like Exsight Analytics and HaloTech Academy's YouTube channel, and continues to explore diverse data topics across multiple seasons.
"Data Slices" is a series of aesthetic mini-visualizations that leverage the power of Python libraries such as Matplotlib, Seaborn, and other advanced visualization libraries in Python. The goal of this series is to meticulously curate each visualization to unveil the hidden beauty and fascinating insights within data that might otherwise seem ordinary. The topics covered by "Data Slices" are diverse, allowing for a wide range of visual exploration and storytelling.
One of the most captivating episodes in the "Data Slices" series involves tracking my daily mood throughout the year 2023. By transforming this data into a visual format, viewers can easily observe the ups and downs of my mood each day. This episode also features a detailed report card summarizing key metrics such as the average mood of the year, mood distribution, average mood on specific days, average mood for each month, and weekly mood progress. This particular visualization has been showcased on Exsight Analytics and discussed in a live stream on HaloTech Academy's YouTube channel, highlighting its popularity and impact.
In addition to mood tracking, "Data Slices" includes episodes comparing stock prices of major companies and a timeline of the Titanic's sinking. Each visualization within the series is designed to be both informative and visually appealing, making data analysis accessible and engaging for a broad audience.
The series is planned to continue, with future seasons each centered around a main idea, followed by multiple episodes exploring different aspects of the chosen topic. This approach ensures that "Data Slices" remains fresh and relevant, continually offering new insights and visualizations.
For more information and to view the episodes created so far, please visit the "Data Slices" GitHub repository: https://github.com/caesarmario/data-slices.
A passionate and results-driven Data Engineer currently serving at one of Indonesia's leading digital banks. With over three years of professional experience, he specializes in developing robust data pipelines, optimizing ETL processes, and ensuring data compliance and security. His technical proficiency includes Python, SQL, Google Cloud Platform, and Apache Airflow, among other tools and technologies.
In addition to his professional role, he is dedicated to mentoring and sharing his knowledge with the data community. He has mentored at Dealls and HaloTech Academy and served as a Capstone Advisor for Bangkit Academy, helping shape the next generation of data professionals. He continuously strives to expand his skill set and stay current with industry trends by teaching aspiring students, researching new tools and technologies, writing articles, and creating data-related projects to share with the community.