Streamlit Web Visualization Dashboard using Python and PygWalker Graph Creator by Click and Drag

1.The most effective way in data analysis is to use a few lines codes with great results and good reports. streamlit is a python library used for data Visualizations, data science, machine learning and the deployment of machine learning models. 2. streamlit supports interaction with many python libraries such as plotly, pandas, matiplotlib, keras, tensorflow and others 3. in this video we will learn how to use a python library called PgWalker which is used with python web frameworks such as django, flask and streamlit where it enables to visualize data without writing code FULL PROJECT LIVE DEMO https://open-projects.streamlit.app/ FULL PROJECT ON GITHUB https://github.com/shamiraty/OPEN-STREAMLIT-PROJECTS/ TIMELINE: 0:00 introduction to this Analytics dashboard 0:03:52 download project source code 0:04:08 Kanaries-Pgwalker Documentation 0:04:37 installation of pgwalker dependency 0:05:49 installation of python dependencies 0:07:50 import python libraries 0:08:16 set streamlit page layout wide source code https://github.com/shamiraty/pgwalker-with-streamlit live demo https://kanaries.streamlit.app/ 🏆 OTHER PYTHON VIDEO SERIES *Business Analytics Dashboard Website using Streamlit Python and MySQL* live demo https://business-analytics.streamlit.app/ reference code https://github.com/shamiraty/Streamlit-Business-analytics-with-Excel_CSV Video tutorial https://youtu.be/sIqBA0PhzGQ *descriptive analytics website with MySQL* live demo https://intelligent-force.streamlit.app/ reference code https://github.com/shamiraty/Streamlit-Dashboard-Descriptive-Analytics-with-MYSQL Video tutorial https://youtu.be/pWxDxhWXJos *analytics dashboard with excel and graphs* live demo https://shamiraty-analyticsdashboard-with-excel-file-main-kkkk2a.streamlit.app/ Video tutorial https://youtu.be/-cg3qPhI74s *Web Analytics Dashboard using Python and Streamlit to Visualize Sales* Data of Excel file live demo https://projectforce.streamlit.app/ reference code https://github.com/shamiraty/streamlit-dashboard-with-date-filter-and-content-switch Video Tutorial https://youtu.be/uDuPM4xfPlw *Streamlit Web Visualization Dashboard using Python and PygWalker Exploratory Library* Live Demo https://kanaries.streamlit.app/ Source Code https://github.com/shamiraty/pgwalker-with-streamlit Video Tutorial https://youtu.be/JeoYZkmeYTo *Decision tree model* live demo https://shamiraty-decisiontree-streamlit-home-y6z5z0.streamlit.app/ reference code https://github.com/shamiraty/DecisionTree-Streamlit Video tutorial https://youtu.be/s4pUqZrDOzw *Crosstabulation web* live demo https://shamiraty-crosstabulation-main-b2c61u.streamlit.app/ reference code https://github.com/shamiraty/CrossTabulation Video tutorial https://youtu.be/1fnq4CzezxQ *Add new Record to Excel file via Web Interface* live demo https://shamiraty-add-data-to-excel-streamlit-main-4mef19.streamlit.app/ reference code https://github.com/shamiraty/add-data-to-excel-streamlit Video tutorial https://youtu.be/-3q2rwuy99g *Percentiles, 5 number summary, Categorical data* live demo https://shamiraty-numbersummary-percentiles-main-bng7ov.streamlit.app/ reference code https://github.com/shamiraty/numberSummary_percentiles Video tutorial https://youtu.be/U7vf-DB_KmQ *Business Intelligent Analytics Web Dashboard Using PYTHON, HTML, CSS, STREAMLIT, MICROSOFT EXCEL* video https://www.youtube.com/watch?v=mDJ-sKB7DvE live demo https://python-business-analytics.streamlit.app/ reference code https://github.com/shamiraty/python_analytics_graph_excel *Business Analytics Web Dashboard Using Python, Html, CSS, Streamlit & Excel as Database | real Word* live demo https://python-bussiness-analytics-with-adddata.streamlit.app/ source code https://github.com/shamiraty/python_analytics_graph_excel-_with_add_data/ video https://youtu.be/rJzBNm0rb0g *Add Records to Microsoft Excel File by Web User Interface live demo https://add-data-excel.streamlit.app/ source code https://github.com/shamiraty/add-data-excel video not available my GitHub reference source code https://github.com/shamiraty?tab=repositories contact: WhatsApp +255675839840 email: [email protected] plays tore: https://play.google.com/store/apps/dev?id=7334720987169992827&hl=en&gl=US telegram: +255656848274