Real-time connection between Tableau and Jupyter Notebook allowing for dynamic access to data
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Updated
Sep 30, 2021
Real-time connection between Tableau and Jupyter Notebook allowing for dynamic access to data
Arquitectura pipeline para streaming de tiempo real
NYC Bike Sharing Analysis using Tableau and Jupyter Notebooks
Visualizations based on bike-sharing data using Tableau, Python, Jupyter Notebook and Pandas.
Python Notebooks and Tableau files associated to monitor if anything is wrong with data being collected.
This repo hosts all the datasets and notebooks I used for my articles in my personal blog.
Using the above Dataset in Jupyter Notebook, I perform data cleaning and using tableau I created different charts.
Extracted Citi Bike data from Jersey City 2015-2019, cleaned in Jupyter Notebook, then visualized use stats in Tableau
After formatting the data retrieved from the Citi Bike database in jupyter notebook, I built interactive visualizations using Tableau to display data.
🤕📊 My Data Visualisation Pursuits! Gaining an Understanding of Visualisation and best practices. Hands on with Tableau, Jupyter Notebook & R Programming.
Citibikes NYC Data Analysis: Uncover insights from over a decade of ride data. Jupyter notebook for data aggregation/cleaning & Tableau dashboards for interactive visualization.
Storyboard on Tableau modeling a bike-sharing program in Des Moines, Iowa; using visualizations of analysis on Jupyter Notebook of the NYC’s Citi Bike app data on various features.
In this project ETL and Analysis is performed on Amazon Sales Data in notebook and Tableau. The raw data consisted of 5 files which was transformed into one Excel file.
This repository contains all the projects done during my training at EduBridge.Practice challenges during my journey through Code Basics. Project are done using Python and R codes using softwares Jupyter Notebook , R-studio
Bootcamp final project - followed entire data analysis process with the April 2023 BLS update to the Job Openings and Labor Turnover Survey (JOLTS). Collected using the BLS API for replicability. Analysis using Python (Jupyter Notebooks) and Tableau Desktop Public.
Maternal risk data from women in Bangladesh. Data profiling and statistical tests contained in the Jupyter Lab notebook. Data visualization using Tableau. Data taken from UCI Machine Learning Repository (https://archive.ics.uci.edu/ml/datasets/Maternal+Health+Risk+Data+Set)
In this data analysis project, I examined the sales dataset from the SuperStore. The objective was to gain insights into various aspects of the business, using both Python and SQL in a Jupyter notebook, alongside data visualization performed in Tableau.
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