This document provides instructions for using Excel to calculate regression lines and predicted values from a dataset. It describes setting up the spreadsheet with logical arrangement of data and labels. It then explains how to create columns for the standard deviation line and regression line using formulas or functions like SLOPE, INTERCEPT, and FORECAST. Finally, it outlines how to generate a scatter plot graph with lines showing the standard deviation and regression lines.
This courseware will introduce you to basics in working with Excel Spreadsheets. It'll serve as a compliment to the in-lab sessions that will be held during the data journalism training session - Voter's Count - in Kumasi
NCompass Live - Aug. 22, 2018
http://nlc.nebraska.gov/ncompasslive/
Microsoft Excel has a variety of uses in the library world from keeping track of budgets or managing program registrations to viewing circulation or collection statistics. Learn some hints and tips for working with already existing spreadsheets as well as building your own. We’ll also take a look at Google Sheets and see how that compares with Excel.
Presenter: Megan Boggs, Seward (NE) Memorial Library.
RS Trainings: is a brand and providing quality online and offline trainings for students in world wide. Rs Trainings providing Best DataScience online training in Hyderabad
The site present the assignment to the students in well- structured manner including all the information in the simplest form, so that students need not spend extra time and effort in completion of the assignment and along with these they can also gain all the content engraved in the brain.
This courseware will introduce you to basics in working with Excel Spreadsheets. It'll serve as a compliment to the in-lab sessions that will be held during the data journalism training session - Voter's Count - in Kumasi
NCompass Live - Aug. 22, 2018
http://nlc.nebraska.gov/ncompasslive/
Microsoft Excel has a variety of uses in the library world from keeping track of budgets or managing program registrations to viewing circulation or collection statistics. Learn some hints and tips for working with already existing spreadsheets as well as building your own. We’ll also take a look at Google Sheets and see how that compares with Excel.
Presenter: Megan Boggs, Seward (NE) Memorial Library.
RS Trainings: is a brand and providing quality online and offline trainings for students in world wide. Rs Trainings providing Best DataScience online training in Hyderabad
The site present the assignment to the students in well- structured manner including all the information in the simplest form, so that students need not spend extra time and effort in completion of the assignment and along with these they can also gain all the content engraved in the brain.
In Section 1 on the Data page, complete each column of the spreads.docxsleeperharwell
In Section 1 on the Data page, complete each column of the spreadsheet to arrive at the desired calculations. Use Excel formulas to demonstrate that you can perform the calculations in Excel. Remember, a cell address is the combination of a column and a row. For example, C11 refers to Column C, Row 11 in a spreadsheet.
Reminder: Occasionally in Excel, you will create an unintentional circular reference. This means that within a formula in a cell, you directly or indirectly referred to (back to) the cell. For example, while entering a formula in A3, you enter =A1+A2+A3. This is not correct and will result in an error. Excel allows you to remove or allow these references.
Hint: Another helpful feature in Excel is Paste Special. Mastering this feature allows you to copy and paste all elements of a cell, or just select elements like the formula, the value or the formatting.
"Names" are a way to define cells and ranges in your spreadsheet and can be used in formulas. For review and refresh, see the resources for Create Complex Formulas and Work with Functions.
Ready to Begin?
1. To calculate
hourly rate, you will use the annual hourly rate already computed in Excel, which is 2080. This is the number most often used in annual salary calculations based on full time, 40 hours per week, 52 weeks per year. In E11 (or the first cell in the
Hrly Rate column), create a formula that calculates the hourly rate for each employee by referencing the employee’s salary in Column D, divided by the value of annual hours, 2080. To do this, you will create a simple formula:
=D11/2080. Complete the calculations for the remainder of Column E. If you don’t want to do this cell by cell, you can create a new formula that will let you use that same formula all the way to the end of the column. It would look like this:
=$D$11:$D$382/2080.
2. In Column F, calculate the
number of years worked for each employee by creating a formula that incorporates the date in cell F9 and demonstrates your understanding of relative and absolute cells in Excel. For this, you will need a formula that can compute absolute values to determine years of service. You could do this longhand, but it would take a long time. So, try the
YEARFRAC formula, which computes the number of years (and even rounds). Once you start the formula in Excel, the element will appear to guide you. You need to know the “ending” date (F9) and the hiring date (B11). The formula looks like this:
=YEARFRAC($F$9,B11), and the $ will repeat the formula calculation down the column as before if you grab the edge of the cell and drag it to the bottom of the column.
3. To determine if an employee is
vested or not In Column I, use an
IF statement to flag with a "Yes" any employees who have been employed 10 years or more. Here is how an IF statement works:
=IF(X is greater (or less th.
Labs/Lab5/Lab5_Excel_SH.htmlLab 5: SpreadsheetsLearning Outcomes and IntroductionTask 1: Powers of 2, Powers of 10 Task 2: Importing and Sorting DataTask 3: Graphing DataTask 4: FunctionsSubmission
Learning Outcomes and Introduction
During this process, you will be able to: Demonstrate your ability to layout and format a spreadsheetDemonstrate the use of relative vs. absolute references in spreadsheetsDemonstrate the use of functions in ExcelDemonstrate the use of IF and VLOOKUP in Excel
Task 1:Powers of 2, Powers of 10 (20 marks)Instructions
There is a reasonably close relationship between the powers of two and the powers of ten: 210 is a little more than 103, that is, 1024 is close to 1000. Similarly, 220 is more than 106
and the ratio is 1.049. The approximation is pretty good for a long distance though eventually it breaks down. Your task is to make a spreadsheet that shows
how good the approximation is and find the place where the ratio first becomes greater than 2.
Start your spreadsheet program (such as Excel)
Enter Data:
Put the numbers 0, 1, 2, ...,40 into column A.Put into column B a formula that will compute 2 raised to the power 10 times the value in column A. Put into column C a formula that will compute 10 raised to the power 3 times the value in column A.Put into column D a formula that will compute the ratio of B over C, that is, the ratio of how good or bad the
approximation is.Set the cell format for column D to display exactly two digits after the decimal point.
Prepare a Chart:
Select the correct range to create a chart that shows the ratio changing for the 40 rows.Use the chart wizard ("Insert>Chart>Column" or this icon ) to create a graph that shows the ratio.Move the chart so that is beside your data as shown in the picture below.
Add an appropriate chart title and remove the " legend"
Save Worksheet:
In this lab, you will be using a new sheet for each part, each with its own name. For task1, double-click on the tab that
says Sheet1
Type the name Power2 in its place.Save the spreadsheet in a file called lab5_Firstname_Lastname under the folder COMP152\Lab5
Side Note: the spreadsheet application you are using will add the correct filename extension)
Do this with as little typing and as much use of Excel's extension feature as possible; you can probably do it by typing no more
than two or three rows and then extending them. Your table should look like this when done, except that it will have more rows, more data in the graph,
and a highlighted row towards the end:
Note: In the example below, numbers are displayed as "floating point". You do not have to
format that way, most of us prefer more common looking number formats (comma style?).
No matter what format and number of decimal places you choose to display - the spreadsheet
software is actually using floating point in the background to ensure maximum accur ...
MIRCROSOFT EXCEL- brief and useful for beginners by RISHABH BANSALRishabh Bansal
the above presentation gives you a brief explanation of Microsoft excel. it includes various formulas, tips, explanations and shortcut keys that are useful for a beginner.
i found it useful, i hope u will also find it useful.
if you LIKE MY PRESENTATION you could FOLLOW ME on SLIDESHARE and FACEBOOK and add your suggestions for more.
best of luck..
Excel Project 2 Check FiguresSteps 1-2-3 As instructedStepgalinagrabow44ms
Excel Project 2 Check Figures
Steps 1-2-3: As instructed
Step 4: Appropriate values to use indicated below – adjust column widths to include all data and notice the blank row between entries:
Steps 5-6: As instructed. Disregard the “Note” under Step 5b.
Steps 7-8-9-10: Example of banded rows table and check figures for first two rows with column widths adjusted so titles are not chopped off. Table sorted by year. Filters have been turned off, but not required. Dollar sign formatted as “currency leading”, no decimals, thousandths separator; and, NumCars has thousandths separator and no decimals.
Step 11: Read the instructions carefully as it tells you where the fields go. Once created, you will format the table from the Comments area. Your Pivot Table should have six columns and five rows. Make sure the columns are wide enough so words are not chopped off. Here are the check figures for the Grand Total row:
Step 12: The chart is placed below the Pivot Table. You will have two sets of four bars, for a total of eight bars. Make sure your title identifies what the chart is. Titles are formatted with all major words with uppercase letters. Words such as “for” and “by” would not be capitalized. Do not use any abbreviations in the title.
Step 13: Format your reply so it does not run any wider than the table above. Inserting a Text Box and type inside the Text Box is a good idea.
Step 14: Read the question. It is the “combination of CarClass and Location”. Inserting a Text Box is a good idea.
Step 15: Read where the new titles are placed. Excel will automatically format them to match the existing table. If you are using a table style that has white letters, that is OK to leave them white:
Steps 16-17: Read where the titles are placed. Do not adjust column widths. Format as required:
Step 18: Only write oneformula using an IF statement and an absolute cell address. The only CarClass you can “test” is Hybrid. When you write the formula, Excel will automatically fill in the column. Format it as indicated in the Comments section.
Step 19: Read the instructions and use the formula indicated in Step 19a for Profit. When you type the one formula, Excel will automatically fill in the column. Follow the instructions for Step 19b. Use the formula indicated in that step. When you type the formula, Excel will automatically fill in the column. Follow the formatting requirements for each in the Comments.
Step 20: Read the instructions on where to place the Pivot Table. The steps tell you which fields you will use and how to format the data in the Pivot Table. The Comments also tell you how to format the data. You will have six columns and five rows. Check figures for the Pivot Table:
Step 21: Read the instructions on where to place the Pivot Table. The steps tell you which fields you will use and how to format the data in the Pivot Table. The Comments also tell you how to ...
Just some excel courses. Have fun and learn from basic to advance, to develope strong skills in operating Excel.
Microsoft Office Excel was never so easy to understand like now!
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Business update Q1 2024 Lar España Real Estate SOCIMI
Excel Slope Instruction
1. Excel Slope/Intercept Instructions
Excel has functions which calculate the SLOPE and INTERCEPT of a regression line given a dataset. It also
has a function, FORECAST, which creates predicted values (using the "regression" line). These instructions
walk you through the steps needed to do the assignment in Unit 5. Similar steps will work to create predicted
values for any dataset.
Overview
It is a good idea to set up your spreadsheet in some logical fashion. While it is possible to create a nice graph
from data with the x-component data at the top of the worksheet and the y-component 1000 cells below, it's
not a good way to set things up. Organization of a worksheet is an art, but any effort you make is very
helpful, especially when you have to come back to a spreadsheet you created last year and update a report
before your boss's meeting at noon. (And who knows when your boss will want to use your spreadsheet
while you're gone?) In addition to logical arrangement of data, headings and comments are very helpful
additions to any complex spreadsheet.
Here we set up two extra columns of data to produce straight lines that pass through the original data. One
line is the SD-line and the other is the regression line. So, we will set up columns of data with x-values next to
y-values. I suggest leaving some room at the top of the spreadsheet to put comments, calculated values like
the average, and titles. The bottom is OK too, but harder for others to find if they borrow your spreadsheet.
Make the SD line data
1. Copy the data into the worksheet and move the columns (cut and paste) so that the variables are lined
up next to each other.
2. Find the averages and standard deviations for each column and the correlation coefficient; place them
in cells adjacent to labels so that you (and others) know what they are.
3. We now have all the information needed to create the SD-line. put an appropriate label at the top of a
new column and enter a formula in the first row of data which uses the SD-line formula to calculate the
correct y-value for the x-value of that row. Each row corresponds to an x-value and its related y-
values (one for the data point, one on the SD-line that we are now computing, and one on the
regression line that we will compute below). Remember to use dollar signs before the letter and
number of any cells that shouldn't change when you copy from one row to the next. For example, the
average and SDs are the same for each row. If they appear in cell D4, then use $D$4 in place of D4.
The SD-line of interest will be downward sloping if the correlation coefficient is negative (so you'll need
to have the correlation coefficient computed -- and, I hope, labelled -- somewhere on the sheet). So,
for example, use the function SIGN($F$6) to get a plus or minus 1 depending on the sign of the cell
F6.
4. Check that your formula gives the correct answer. Then copy the formula down the column to the
other rows. Check to make sure that the correct cell names (like A10) are getting incremented while
the ones for the average, SD, etc are not. If necessary, add more dollar signs and copy again.
Make the regression line data