expss: Tables and Labels in R
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Updated
Apr 9, 2024 - R
expss: Tables and Labels in R
Stream Lookup function for GrayLog2 Pipeline Processor
Developed as a way to keep track of my expenses, allowing me to make informed and smart money decisions based on my complete financial picture.
Please find my Excel Data for you to practice | Automation Excel Vlookup
Developed as a way to keep track of my expenses, allowing me to make informed and smart money decisions based on my complete financial picture.
Hey, I am Nidhi Gupta. This is my Data Analytics Portfolio
A VBA macro that automates the populating of sheets and cells with the appropriate values (ranging from basic equations to operations featuring multiple vlookups).
Our objective is to find the attributes of customers who are likely to buy the product when contacted through telemarketing. This is a classic case of acquisition analytics where companies use past data to predict which customers are likely to buy certain products.
This a python app to assist those in finance with VLOOK UP
Merging and updating csv script
This my RFM Analysis project. RFM analysis is a business concept check my WORD Document to know more about it and why it is important.
Dashboard of road accidents occured during the period of 2021-22 with different reasons behind. Using Ms excel for the data processing and creating pivot tables , using fucntions and may more features of excel to create the final dashboard to give quick overview of data
Kickstarter Analysis using advance excel concepts like charts, pivot table, vlookup etc.
Analysis on sportsmen dataset using excel .Conducted statistical analysis on sportsmen data using Excel, including data cleaning, data analysis and generate report.Developed a pivot report using Excel to present the result of the sportsmen analysis project .
Performing trends analysis on Kickstarter campaign data with Excel.
Calculates calories, fat, proteins, carbs intake with available foods in dataset
This project focuses on marketing campaign budget allocation using data from the Global Burden of Disease Study (2019). The dataset includes mental disorder prevalence by demographic segments. Our analysis used spreadsheets and Pareto Analysis, and we created interactive Tableau dashboards & donor presentations to maximize impact and engagement.
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