Part 2 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_5 (streamlit_eda_made_easy_sweetviz_3)
All my knowledge came from an article. Again, I strongly invite you to read this article that is the best I have found on the web. I have just extended some elements from this article by giving some information and migrate the all stuff presented into Streamlit framework. A great article on Sweetviz. More on https://coderzcolumn.com/tutorials/data-science/sweetviz-automate-exploratory-data-analysis-eda
- 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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Tag(s) : Agile, application, Automate, Automation, Bulk, Dashboard, Data Science, EDA, Jupyter Notebook, Learning, Learning-by-doing, P.O, PO, POC, Streamlit, Sweetviz, tooling, webtool
Categorie(s) : Development, Experiences, Python, Tutorials, Videos