The document outlines an advanced Microsoft Excel training agenda covering anchoring cells, functions for summarizing data, sorting and filtering, text and time functions, pivot tables, and macros. Key topics include using dollar signs to anchor cells for copying formulas, COUNTIF, SUMIF, VLOOKUP, INDEX/MATCH functions, sorting and filtering data, text functions like LEFT, RIGHT, MID, TRIM and FIND, time functions like NOW and DATE, creating pivot tables, and recording macros. Class exercises are included to practice these skills on sample name and data sets.
How do you learn a new language? How do you figure out how to do something new in a language your already know? Code samples! This is a collection of some of my favorite bits of code. Some of it is useful in every application you build. Some of it solves an unusual problem. Some it of it is just plain cool. This includes BSO and MDX code.
We will also explore some design concepts such as when to use outline formulas vs. script-based calculations, dimensional design for different calculation requirements, and how to take advantage of calc manager's modular approach.
Here are a few of the snippets we will cover:
• Transposing data from one dimension to another
• Forecasting with S curves
• Rolling forecasts
• Using XREF to code overrides
• Useful date calcs
• Useful Planning expressions
This session is designed for developers with a beginning to intermediate skill level in BSO and or MDX calculations.
How do you learn a new language? How do you figure out how to do something new in a language your already know? Code samples! This is a collection of some of my favorite bits of code. Some of it is useful in every application you build. Some of it solves an unusual problem. Some it of it is just plain cool. This includes BSO and MDX code.
We will also explore some design concepts such as when to use outline formulas vs. script-based calculations, dimensional design for different calculation requirements, and how to take advantage of calc manager's modular approach.
Here are a few of the snippets we will cover:
• Transposing data from one dimension to another
• Forecasting with S curves
• Rolling forecasts
• Using XREF to code overrides
• Useful date calcs
• Useful Planning expressions
This session is designed for developers with a beginning to intermediate skill level in BSO and or MDX calculations.
Star Transformation, 12c Adaptive Bitmap Pruning and In-Memory optionFranck Pachot
Besides adaptive joins and adaptive parallel distribution, 12c comes with Adaptive Bitmap Pruning. I’ll describe the case it applies to and which is often not well known: the Star Transformation
microsoft office introduction,
topic of microsoft word,microsoft excel and microsoft powerpoint .
features of microsoft office and detail about versions
Our database experts, Rajnikant Tandel and Anup Gopinathan, will show you how to identify and fine tune your problem queries to make a significant impact on the overall performance of your database.
Data infrastructure for the other 90% of companiesMartin Loetzsch
Abstract: Unscientific guess: 90% of the companies out there neither have the data amounts nor the real-time requirements that justify maintaining a big data streaming infrastructure. Still, these companies also need to integrate data in order to improve their products and processes. Some of them then still use Spark to handle a few GB of data, but for the vast majority, running SQL scripts in simple relational databases does the trick. In this talk, I will give some recommendations and best practices for setting up data integration infrastructure with open source technologies. I will explain why PostgreSQL is a perfect fit for building data warehouses with up to a few TB of data. And I will argue that Airflow is probably not the best tool for orchestrating the execution of SQL scripts.
Presented at the Data Council Meetup Kickoff in Berlin
In the beginning, when the cost based optimizer was new, developers soon learnt they needed to code correctly to avoid performance problems. As the CBO developed, we relaxed and assumed that it would handle everything for us. As a result coding practices which prevent good performance are appearing again. The arrival of the Java Developer to whom the database is just a data store, and the fact that we are storing much more data has contributed to the issue as well.
This presentation will identify some commonly found coding mistakes that cause performance problems and look at how to resolve them.
Performance Tuning Oracle's BI ApplicationsKPI Partners
http://www.kpipartners.com/webinar-Performance-Tuning-Oracle-BI-Applications/ ... From a virtual event that discusses techniques that can be used to optimize performance of the Oracle BI Apps.
The BI Apps from Oracle present customers with a nice head start to getting their BI environment up and running. But for many customers, their user community demands lighting-fast speeds while running dashboards, reports and ad-hoc queries. Learn about some of the key techniques you can use to take the BI Apps to performance levels you didn’t think were possible.
The discussion begins with a conceptual understanding of why performance problems can exist and the counteracting design considerations. Special attention will be paid to the concept of a Performance Layer, describing what it is, what it is comprised of and how to build it. The presentation includes several real world examples of the significant performance gains that can be had from a Performance Layer.
Objective 1: Learn about the concept of a performance layer and what is involved with building one.
Objective 2: Understand the most important steps to improve the performance of your system.
Sample Questions The following sample questions are not in.docxtodd331
Sample Questions
The following sample questions are not inclusive and do not necessarily represent all of the types of
questions that comprise the exams. The questions are not designed to assess an individual's readiness to
take a certification exam.
SAS 9.4 Base Programming – Performance-based Exam
Practical Programming Questions:
Project 1:
This project will use data set sashelp.shoes.
Write a SAS program that will:
• Read sashelp.shoes as input.
• Create the SAS data set work.sortedshoes.
• Sort the sashelp.shoes data set:
o First by variable product in descending order.
o Second by variable sales in ascending order.
Run the program and answer the following questions:
Question 1: What is the value of the product variable in observation 148?
Answer: Slipper
Question 2: What is the value of the Region variable in observation 130?
Answer: Pacific
Project 2:
This project will use the data set sashelp.shoes.
Write a SAS program that will:
• Read sashelp.shoes as input.
• Create a new SAS data set, work.shoerange.
• Create a new character variable SalesRange that will be used to categorize the observations into
three groups.
• Set the value of SalesRange to the following:
o Lower when Sales are less than $100,000.
o Middle when Sales are between $100,000 and $200,000, inclusively.
o Upper when Sales are above $200,000.
Run the program, then use additional SAS procedures to answer the following questions:
Question 3: How many observations are classified into the “Lower” group?
Answer: 288
Question 4: What is the mean value of the Sales variable for observations in the “Middle” group? Round
your answer to the nearest whole number.
Answer: 135127
Project 3:
This project will work with the following program:
data work.lowchol work.highchol;
set sashelp.heart;
if cholesterol lt 200 output work.lowchol;
if cholesterol ge 200 output work.highchol;
if cholesterol is missing output work.misschol;
run;
This program is intended to:
• Divide the observations of sashelp.heart into three data sets, work.highchol, work.lowchol, and
work.misschol
• Only observations with cholesterol below 200 should be in the work.lowchol data set.
• Only Observations with cholesterol that is 200 and above should be in the work.highchol data
set.
• Observations with missing cholesterol values should only be in the work.misschol data set.
Fix the errors in the above program. There may be multiple errors in the program. Errors may be syntax
errors, program structure errors, or logic errors. In the case of logic errors, the program may not
produce an error in the log.
After fixing all of the errors in the program, answer the following questions:
Question 5: How many observations are in the work.highchol data set?
Answer: 3652
Question 6: How many observations are in the work.lowchol data set?
Answer: 1405
Standard Questions:
Que.
CARTO en 5 Pasos: del Dato a la Toma de Decisiones [CARTO]CARTO
En este webinar repasamos - mediante una demostración con el mercado de Real Estate de Los Angeles como ejemplo - cada uno de los cinco pasos que la plataforma de CARTO sigue para una toma de decisiones eficaz basada en los datos.
Watch it now at: https://go.carto.com/carto-pasos-dato-toma-decisiones-recorded
Discover tactics and learn from case studies of Reddit, Product Hunt, Facebook, Automatic, Soylent, and more that will lead you to build a great online community for your website and product.
How to boost admissions on social mediaEric Metelka
Discover tactics you can use and learn from case studies of higher education institutions (such as the University of Michigan) to boost your admissions through social media.
The Tools to Unlock Social Media AnalyticsEric Metelka
How can your early stage startup measure the return on a successful social media strategy?
Are you using number of followers as a success metric? Do you know how to measure share of voice? With interactive case studies, we'll explore how your startup can take measurement beyond vanity metrics using the same ROI strategy large brands use. If you don't know what metrics to measure and want to know if social media is worth your time, this class is for you.
How to Rock Your Social Media EngagementEric Metelka
What is the right way to engage your audience on different platforms? How often should you be posting new content? How does the Google+ algorithm work? With interactive case studies, we'll explore how your startup can maximize its exposure on each social media platform you post on. If you want to go deep on Facebook, twitter, LinkedIn, Google+, and Pinterest, this class is for you.
Social Media Strategy - Target Your Audience & Build Your VoiceEric Metelka
How can your early stage startup develop a successful social media strategy?
Are you trying to find your audience online but don't know how? Should your brand be 'LOL'ing all over Facebook? With interactive case studies, we'll explore how your startup can find target users on social media, as well as develop your brand's personality and voice. If you don't know where to start with social media or just need to amp up your user acquisition, this class is for you.
Building Audience & Influence on a BudgetEric Metelka
Learn how to identify and build your audience on a startup budget.
- How to find long tail keyword opportunities
- Budget a PC campaign
- Select a social media posting style
- Target influencers in your vertical
• Conduct usability testing to optimize customer activation
• Match metrics to business types
• Create a customer oriented culture and build a vibrant community
• Increase referrals among current customers and use social media graphs to increase virality
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload.
Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Why React Native as a Strategic Advantage for Startup Innovation.pdfayushiqss
Do you know that React Native is being increasingly adopted by startups as well as big companies in the mobile app development industry? Big names like Facebook, Instagram, and Pinterest have already integrated this robust open-source framework.
In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...
Advanced Microsoft Excel
1. ERIC METELKA, MBA, PRODUCT MANAGER @ POWERREVIEWS
ADVANCED MICROSOFT
EXCEL
2. AGENDA
‣ INTRODUCTIONS
‣ ANCHORING CELLS
‣ FUNCTIONS FOR SUMMARIZING DATA
‣ SORTING AND FILTERING
‣ USING TEXT AND TIME FUNCTIONS
‣ PIVOT TABLES
‣ CLOSING: RECAP, QUESTIONS
4. ADVANCED MICROSOFT EXCEL
‣ HOLDS A CELL/ROW/COLUMN POSITION FOR FUTURE USE
‣ REPRESENTED BY A ‘$’
‣ EFFICIENT WHEN COPYING FORMULAS
ANCHORING CELLS F4 ⌘ T
10. ADVANCED MICROSOFT EXCEL
‣ FILL FORMULA RIGHT FROM CELL LEFT
‣ FILL FORMULA DOWN FROM CELL DOWN
‣ MOVE TO EDGE OF DATA REGION
‣ UP
‣ DOWN
‣ LEFT
‣ RIGHT
ANCHORING CELLS - KEYBOARD SHORTCUTS
Ctrl ⌃ R
Ctrl ⌃ D
R
D
Ctrl ⌃ ⬆⬆
Ctrl ⌃ ⬇⬇
Ctrl ⌃ ⬅⬅
Ctrl ⌃ ➡➡
11. ADVANCED MICROSOFT EXCEL
‣ PRACTICE NAVIGATING YOUR WORKSHEET WITHOUT USING ONLY THE KEYBOARD
‣ WHAT HAPPENS IF YOU CHANGE THE FORMULA TO ONLY ANCHOR A ROW?
‣ WHAT HAPPENS IF YOU CHANGE THE FORMULA TO ONLY ANCHOR A COLUMN?
CLASS EXERCISE ONE
13. ADVANCED MICROSOFT EXCEL
‣ USE TO SUM OR COUNT THE NUMBER OF COMMON ITEMS
COUNTIF AND SUMIF
6
20
5
8 11
4
2
9
12
‣ COUNTIF(CIRCLES, YELLOW) = ?
‣ SUMIF(CIRCLES,BLUE,AMOUNT) = ?
14. ADVANCED MICROSOFT EXCEL
‣ USE TO SUM OR COUNT THE NUMBER OF COMMON ITEMS
COUNTIF AND SUMIF
‣ COUNTIF(CIRCLES, YELLOW) = 5
‣ SUMIF(CIRCLES,BLUE,AMOUNT) = 27
6
20
5
8 11
4
2
9
12
15. ADVANCED MICROSOFT EXCEL
‣ A HIGHER LEVEL OF SUMMARIZING DATA - ALLOWS YOU TO ADD A CONDITION
‣ THINK OF AS SUM WITHIN SUMIF AND COUNT WITHIN COUNTIF
‣ WHEN TO USE: DATA HAS MULTIPLE ATTRIBUTES THAT YOU WANT TO COMPILE IN A SINGLE SUM
COUNTIF AND SUMIF
16. ADVANCED MICROSOFT EXCEL
‣ =COUNTIF(RANGE,CRITERIA)
‣ =SUMIF(RANGE,CRITERIA,[SUM_RANGE])
COUNTIF AND SUMIF - SYNTAX
17. ADVANCED MICROSOFT EXCEL
‣ =COUNTIF(RANGE,CRITERIA)
‣ =SUMIF(RANGE,CRITERIA,[SUM_RANGE])
‣ SUPER ADVANCED MICROSOFT EXCEL: COUNTIFS AND SUMIFS
COUNTIF AND SUMIF - SYNTAX
18. ADVANCED MICROSOFT EXCEL
‣ “LOOKS UP” THE VALUE ASSOCIATED WITH A ROW IN A TABLE
‣ WHEN TO USE: CREATING A NEW DATA TABLE THAT PICKS AND CHOOSES VALUES FROM ANOTHER TABLE
‣ NOTE: DOES NOT SUMMARIZE, ONLY RETURNS A SINGLE ROW
VLOOKUP
19. ADVANCED MICROSOFT EXCEL
‣ =VLOOKUP(LOOKUP_VALUE,TABLE_ARRAY,COL_INDEX_NUMBER,[RANGE_LOOKUP])
‣ NOTES:
‣ TABLE_ARRAY - THIS IS A RANGE. MAKE SURE TO ANCHOR CELLS!
‣ COL_INDEX_NUMBER - FIRST COLUMN IS 0.
‣ RANGE_LOOKUP - TRUE = APPROXIMATE MATCH. FALSE = EXACT MATCH. ALMOST ALWAYS USE FALSE!
VLOOKUP - SYNTAX
20. ADVANCED MICROSOFT EXCEL
‣ MATCH: RETURNS THE RELATIVE POSITION OF AN ITEM IN AN ARRAY
‣ INDEX: RETURNS THE VALUE AT A CELL INTERSECTION
‣ USE TOGETHER AS AN ALTERNATIVE TO VLOOKUP - MORE FLEXIBLE THAN VLOOKUP BUT ALSO MORE COMPLICATED
INDEX/MATCH
21. ADVANCED MICROSOFT EXCEL
‣ =MATCH(LOOKUP_VALUE,TABLE_ARRAY,[MATCH_TYPE])
‣ NOTES:
‣ TABLE ARRAY IS A SINGLE COLUMN
‣ MATCH_TYPE IS -1, 0, OR 1
‣ IF 1, FINDS THE LARGEST VALUE <= TO LOOKUP VALUE
‣ IF 0, FINDS THE FIRST EXACT MATCH
‣ IF -1, FINDS THE SMALLEST VALUE >= TO LOOKUP VALUE
MATCH - SYNTAX
22. ADVANCED MICROSOFT EXCEL
‣ =INDEX(ARRAY,ROW_NUM,[COLUMN_NUM])
‣ NOTES:
‣ ARRAY IS A SINGLE COLUMN
‣ ROW_NUM - FIRST COLUMN IS 0.
‣ COLUMN_NUM - OPTIONAL AND USUALLY NOT NECESSARY
INDEX - SYNTAX
23. ADVANCED MICROSOFT EXCEL
‣ =INDEX(ARRAY,MATCH(LOOKUP_VALUE,TABLE_ARRAY,[MATCH_TYPE]))
‣ MATCH ACTS AS THE ROW NUMBER
‣ SAME NUMBER OF ARGUMENTS AS VLOOKUP!
INDEX/MATCH - SYNTAX
24. ADVANCED MICROSOFT EXCEL
‣ USING FUNCTIONS SUMMARIZE NAME DATA BY STATE, DEMO GROUP, AND ITEMS DELIVERED
‣ 1241 SUNDOWN WAY - LOOKUP THE FIRST NAME, LAST NAME, ZIP CODE, AND DEMO GROUP
CLASS EXERCISE TWO
26. ADVANCED MICROSOFT EXCEL
‣ ONE CLICK WILL SORT SMALL TO LARGE OR LARGE TO SMALL
‣ USE CUSTOM SORTING WHEN THE DATA TO BE SORTED IS IN MULTIPLE COLUMNS
‣ USE COLUMN HEADERS SO THAT FIRST DATA POINT IS NOT ‘LOST’ IN THE SORTING
SORTING
27. ADVANCED MICROSOFT EXCEL
‣ HELPFUL TOOL FOR DATA MINING
‣ LEAVE CHECKBOXES FOR DATA YOU WANT DISPLAYED
‣ WHEN USING DATES, EXCEL CREATES LEVEL OF DATA THAT CAN BE FILTERED
FILTERING
28. ADVANCED MICROSOFT EXCEL
‣ HELPFUL TOOL FOR DATA MINING
‣ LEAVE CHECKBOXES FOR DATA YOU WANT DISPLAYED
‣ WHEN USING DATES, EXCEL CREATES LEVEL OF DATA THAT CAN BE FILTERED
‣ REMOVE DUPLICATES - HIGHLIGHT TABLE AND WILL REMOVE ROWS THAT ARE EXACTLY THE SAME. FOUND IN THE
DATA TAB.
FILTERING
31. ADVANCED MICROSOFT EXCEL
‣ LEFT(TEXT,[NUM_CHARS])
‣ SAME FOR RIGHT
‣ WHEN TO USE - WHEN YOU ONLY WANT CHARACTERS THAT BEGIN OR END TEXT IN A CELL
‣ I.E. THE ZIP CODE AT THE END OF AN ADDRESS
LEFT RIGHT
32. ADVANCED MICROSOFT EXCEL
‣ MID(TEXT,START_NUM,NUM_CHARS)
‣ WHEN TO USE - WHEN YOU ONLY WANT CHARACTERS IN THE MIDDLE OF TEXT IN A CELL
MID
33. ADVANCED MICROSOFT EXCEL
‣ TRIM(TEXT)
‣ REMOVE BLANK SPACES AT THE BEGINNING OR END OF A STRING
‣ COMMON PROBLEM WHEN TRANSFERRING DATA FROM ONE
PROGRAM TO ANOTHER
TRIM
FIND
‣ FIND(FIND_TEXT,WITHIN_TEXT,[START_NUM])
‣ HELPFUL WHEN NEEDED DATA IS EMBEDDED WITHIN A COMPLETE
STRING E.G. ZIP CODE WITHIN AN ADDRESS
34. ADVANCED MICROSOFT EXCEL
‣ EXCEL USES DAY AS ITS MEASURE OF TIME
‣ RETURNS A DATE WITH AN INTEGER VALUE AND A TIME AS A DECIMAL VALUE
‣ USE THE NOW FUNCTION TO MEASURE THE DIFFERENCE OF THE CURRENT DATE AND A PREVIOUS DATE
NOW()
35. ADVANCED MICROSOFT EXCEL
‣ DATE(YEAR,MONTH,DAY)
‣ ALLOWS CONVERSION OF DATES SHOWN AS TEXT TO
NUMBER
DATE
INT
‣ FIND(FIND_TEXT,WITHIN_TEXT,[START_NUM])
‣ REMOVES THE DECIMAL (TIME) PORTION FROM A DATE
DIFFERENCE, LEAVING THE INTEGER (DATE) PORTION
36. ADVANCED MICROSOFT EXCEL
‣ USE NOW FUNCTION TO TRACK HOW MUCH TIME HAS PASSED SINCE NAMES WERE DELIVERED
‣ TRIM ADDRESSES TO SHOW STREET NUMBER AND STREET IN SEPARATE FIELDS
CLASS EXERCISE FOUR
38. ADVANCED MICROSOFT EXCEL
‣ CREATES A DRAG AND DROP TABLE BASED ON YOUR DATA - LETS YOU QUICKLY ANALYZE MANY ROWS OF DATA AS IF
IT WERE A DATABASE, WITHOUT THE DATABASE.
‣ FOUND ON DATA TAB
‣ SELECT ALL DATA AND PRESS BUTTON
PIVOTTABLES
39. ADVANCED MICROSOFT EXCEL
‣ SPECIFY THE DIMENSION BY WHICH TO SEGMENT IN ROW LABELS
‣ SET WHAT KIND OF COMPUTATION YOU WANT IN THE VALUE FIELD
‣ E.G. AVERAGE, COUNT, SUM, MAXIMUM VALUE
‣ ANALYZE TWO SEGMENTS AGAINST EACH OTHER BY SELECTING A DIMENSION FOR
COLUMN LABELS
‣ FILTER OUT UNWANTED DATA BY PLACING A DIMENSION IN THE REPORT FILTER
PIVOTTABLES
40. ADVANCED MICROSOFT EXCEL
‣ ONCE ALL DATA IS FORMATTED IN A TABLE, IT IS EASY TO CONVERT IT INTO A
VISUAL CHART
‣ USE LINE GRAPHS FOR DATA CHANGING OVER TIME
‣ USE SCATTER PLOTS FOR CORRELATIONS OF TWO SETS OF NUMBERS
‣ USE COLUMN OR BAR FOR HISTOGRAMS
‣ (DON’T USE PIE CHARTS - USE 100% STACKED BAR INSTEAD)
CREATING GRAPHS
41. ADVANCED MICROSOFT EXCEL
‣ USING A PIVOTTABLE, SUMMARIZE NAME DATA BY STATE, DEMO GROUP, AND ITEMS DELIVERED
‣ TURN SUMMARIZED DATA INTO AN APPROPRIATE CHART
CLASS EXERCISE FIVE
42. ADVANCED MICROSOFT EXCEL
‣ ADD DEVELOPER TAB TO RIBBON
‣ MAC - PREFERENCES -> RIBBON
‣ WINDOWS - FILE -> OPTIONS -> CUSTOMIZE RIBBON
‣ ADD TEXT TO SPREADSHEET
‣ IN DEVELOPER TAB, CLICK ‘RECORD MACRO’
‣ GIVE MACRO A NAME - ‘BOLD MACRO’
‣ ADD A SHORTCUT - CTRL + SHIFT + A
‣ CLICK ‘OK’
‣ CHANGE TEXT ON TAB - FONT SIZE TO 18, FONT WEIGHT TO ‘BOLD’
‣ CLICK ‘STOP’
‣ TEST USING THE SHORTCUT
MACROS