React Native pivot table example with Flexmonster
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Updated
Apr 23, 2024 - JavaScript
React Native pivot table example with Flexmonster
Using Excel to analyze the successfulness of Kickstarter projects.
This repository is based on making a data model, creating a pivot table and then pivot charts in the Excel program. I was tasked to create two visualizations for a meeting.
Utilizing Excel formulas to use conditional formatting and pivot charts for Kickstarter campaign analysis.
Analysis of data using Excel and created charts and pivot tables to visualize the data.
This project is about analysis of Fundraising Campaigns to discover various factors responsible after a successful campaign.
R Shiny pivot table example with Flexmonster
Excel Analysis of Kickstarter Campaigns and Observing Market Trends
This repository contains all the data visualization techniques which I have came across and project worked.
Excel Analysis of Kickstarter Campaigns
Excel-based Data Modification & Statistical Analysis of a Database of 4,000 Past Kickstarter Crowdfunding Projects to Identify Factors that Influence Campaign Success
Identify certain factors that lend 4,000 Kickstarter campaigns to be successful - or failures. Data analysis and visualization using pivot tables and pivot charts in Excel.
The purpose of this project is to analyze a data set of bike sales and provide insights into the factors that influence bike purchases. The data set contains information about the customers’ demographics, income, education, commute distance, and bike purchase status.
edX--MSDS-Curriculum--DAT206x for DAT206x Analyzing and Visualizing Data with Excel course on edX as part of the Microsoft Data Science curriculum
This example demonstrates how to show color description for the pivot grid rows and color graph line according to the selected cells.
Excel Analysis of Kickstarter Campaigns
Excel-driven statistical exploration of Canadian freight dynamics. Utilizes pivot charts and statistical methods like correlation, regression analysis etc. for insights into transportation modes, commodities, and complex relationships. Demonstrates effective data visualization and analytics within the freight domain.
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