Part 1 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_1 (tedious_manual_eda)
An example with a very basic data exploration to show how time consuming can be the EDA building process where you need to code and extract relevant information. Nevertheless, the advantage of do-it by yourself will provide you a good chance to fully understand all the operation required for a EDA.
PART_4 (streamlit_eda_made_easy_pandas_profiling_4)
A great and robust library that do the job one for all. An handy “swiss army knife” to investigate quickly dataset and generate clean report supported 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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Tag(s) : Agile, application, Automate, Dashboard, Data Science, EDA, Pandas Profiling, Sweetviz, webtool
Categorie(s) : Development, Python, Training, Tutorials, Videos