Part 3 Exploratory Data Analysis or EDA in Data Science made easy with SWEETVIZ, PANDAS PROFILING and Streamlit

QUICK DESCRIPTION
A quick presentation in videos on Exploratory Data Analysis or EDA in Data Science made easy with SWEETVIZ, PANDAS PROFILING and Streamlit for the Github repo below.

All the files are available on my GitHub account https://github.com/bflaven/BlogArticlesExamples/tree/master/streamlit-sweetviz-pandas-profiling-eda-made-easy

PART_2 (streamlit_eda_made_easy_1)
On GitHub, you can find different approach to build up an “Exploratory Data Analysis” (EDA in Data Science). This one is inspired by Marina Ramalhete from Brazil that is pretty advanced as is it designed with a Class. I have rework few elements to make it more readable and deliver more contextual information when checking the data. More on https://github.com/marinaramalhete/Exploratory-Data-Analysis-App

PART_3 (streamlit_eda_made_easy_2)<.b>
Few examples gathered from different sources mostly Books or Github, made with Streamlit.

• Streamlit: Streamlit turns data scripts into shareable web apps in minutes. All in Python. All for free. No front‑end experience required. More on https://streamlit.io/
• SWEETVIZ: A dataviz librairie in Python. More on https://libraries.io/pypi/sweetviz
• Pandas Profiling: A dataviz librairie in Python. More on https://pypi.org/project/pandas-profiling/
• Sweetviz: Automate Exploratory Data Analysis (EDA) A great article on Sweetviz. More on https://coderzcolumn.com/tutorials/data-science/sweetviz-automate-exploratory-data-analysis-eda
• Toy datasets: Toy Datasets from Scikit. More on https://scikit-learn.org/stable/datasets/toy_dataset.html

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31st Jan 2022

Exploratory Data Analysis or EDA in Data Science made easy with SWEETVIZ, PANDAS PROFILING and Streamlit