Hy, If you want to make an Attractive and Appealing Dashboard (Excel, Power BI, Tableau) then you are at right place. This format directly help you to make dashboard with your own data very easily. Morever i will help...

This Production Report helps in calculating the Target, Achieved and Deficit along with highlights and charts for each person. The Entire report is based on Excel Formulas and can be created easily. Details: Any value...

This help guide enables the beginner to get introduced to the Excel application and its usage in accounting, data analysis, etc. It starts by explaining the interface and getting used to its functionality. It also...

Hi Here is a calculator where you can calculate how many 5* ratings you need to get desired ratings on your products. Calculator to find required orders with 5 Star ratings Instruction to use this calculator1. write...

This chapter explores techniques for assessing the financial viability of long-term projects. It covers key methods like NPV, IRR, payback period, and discounted payback period, providing practical examples and guidance...

The core concept of Net Present Value (NPV) and its role in financial analysis Step-by-step guide to calculating NPV using a clear formula How to apply NPV to real-world investment scenarios Factors to consider...

We can't think of our lives without MS Office these days. There are interesting functions which can be performed by MS Office efficiently and at a greater speed. However, if you're familiar with its shortcut Keys, you...

Analyzing loans and payments involves assessing various aspects of a loan, including its terms, interest rate, payment schedule, and the impact on your financial situation. Whether you are considering taking out a loan...

Uncover the fundamentals of data engineering with our comprehensive study notes. Whether you're a working professional seeking a theoretical foundation, a beginner looking to dive into the world of data engineering, or...

Computer users may do more with the aid of this book.The shortcuts are fantastically structured in a tabular format with Tasks and Shortcuts neatly organized. You will discover more about keyboard shortcuts through this...

Insights for the Marketing Team in the Food & Beverage Industry:¶ Demographic Insights:- a. Gender Preference: Analyze the survey data to determine whether there is a gender preference for energy drinks. This...

This powerpoint presentation is suitable for students of grade 5 to 10 to learn about the Degrees of Comparison of adjectives in a simple way. This PPT caters to the examination requirements of the students who want yo...

Statistical tools are needed by every researcher either related to physical sciences or biological sciences. Analyzing a data is one of the cumbersome job for any researcher. There is a need to understand statistics...

Data Mining lab manual, designed for the M.Sc. Computer Science program at Bharathidasan University, is a focused resource centered on practical implementation using the Weka tool. This manual is specifically crafted to...

Assessment 5: VisualRank using image similarity Introduction This assignment is based on the well-known PageRank algorithm developed by Google to help in ranking webpages. Although much has changed with Google’s...

Assignment 4: Principal Component Analysis This assignment asks you to implement, a principal component analysis (PCA) using a singular value decomposition on a real data set. A real dataset We now ask that you...

Assessment 3: Microchip voltage You are now asked to write some code of your own that will achieve the goals laid out below. The purpose of this exercise is two-fold. It will a) test your skills in designing and...

Just an introduction. Get to learn the fundamentals of data science and using R programming as a tool for data analysis. Data Science is fun!

These documents contain selected solved exercises from the book "Introductory Statistics by Openstax College". Solution is provided from chapter 1 to chapter 13 and the details of the exercises is provided in...

This guide helps you make a choice for statistical analysis to be performed on your research data. It focuses on nine key areas which include the following; Use Cases, Industry Practical Examples, Data Preprocessing, ...