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A VBA application for geocoding and reverse geocoding in Microsoft Excel. Supports both Google's free and enterprise for business geocoder (Google Maps APIs for Business, Google Maps for Work or Google Maps).
A Live Table Editor like Microsoft Excel and Google Sheets From Scratch Using HTML, CSS, Core PHP, Vanilla JavaScript, and MySQL Database, With my Live Table Editor You can edit your data in database directly from an HTML table in Real-Time without any page refresh.
This project analyzes sales data from a Brazilian e-commerce store (2016-2018) to identify sales trends across states. Objectives include pinpointing states with increasing or declining sales, conducting root cause analysis, and providing recommendations for improvement.
The project involved investigating a decline in sales pipeline conversion at TechnoServe, a tech SaaS startup, and developing hypotheses for the underlying causes. Through data analysis, potential solutions were identified to improve the conversion rate and address the issue.
This project was taken up to know how much people are subscribed on Udemy which is considered to be the most popular online education platform, to know which courses the students pay more money for which might give an insight to what part of education, learning or business the population are heading towards.
Explore data insights, enhance decisions, and uncover trends with the Bike Sales Analysis project. Harness Excel's power for data cleaning, processing, analysis, visualization, and strategic insights.
Uncover trends by cleaning, processing, and analyzing Trend Store data. Share insights through clear reports and visuals. Data's the treasure, insights are the gold! ππ
O objetivo desse projeto foi de criar um Dashboard de Vendas com a perfomance principal dos indicadores do e-commerce fictΓcio que nΓ³s usamos como base de dados, nesse projeto foi usado o Excel para a anΓ‘lise e criação do Dashboard.
The purpose of this analysis is to bring to the consciousness of the stakeholders how bad the pandemic has been. Now to Stakeholders, who are they? Our stakeholders in this case study is the general topic. Anyone interested in understanding the spread of the global pandemic. This project was made in the fulfilment of #30daysoflearning data analysis
I chose 'AdventureWorksLT2019.bak' and 'AdventureWorksLT2017.bak' data for analysis & visualization. The query editing was done in 'Microsoft SQL Server Management Studio' and the visualization part was using 'Microsoft Power BI'. Also for analysis, I used MS Excel and PowerBI's query tool.
In our Zomato dataset journey π½οΈ, we've refined data to its peak. Using Excel π and Python π, we meticulously cleaned restaurant names with regular expressions π, ensuring authenticity. Our 'zomatocleaned.csv' now captures the true dining essence π΄, showcasing our commitment to culinary precision π¨βπ³.