Using Excel to analyze the successfulness of Kickstarter projects.

Random Bible Verse

Excel

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.

Excel dashboard that includes slicers, pivot tables, and pivot charts.

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.

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.

A quick start Blazor project that shows how to customize a Syncfusion Blazor Pivot Table using templates and conditional formatting in a Blazor WebAssembly app.

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.

This sample explains how to display a pivot chart in the Blazor Pivot Table component and customize the axes, data labels and legends.

A quick start Vue project that shows how to display a pivot chart in the Vue Pivot Table Component. This project includes a code snippet for customizing the axes, data labels, legends and displaying the accumulation charts.

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.

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.

Performed analysis on Kickstarter data to uncover trends.

Store Analysis using Excel