Getting all work done from inside a browser through an internet-enable computer is no mean feat. Just after Google cracked the idea, Microsoft and Apple soon followed the bandwagon and developed online office suites of their own.
So, do you think Google deserves the tag of top dog or should you give accolades to Microsoft for developing a feature-rich office suite?
Continue reading “Microsoft Excel or Google Sheets: Which is better for Business?”
Microsoft Excel is one of the most significant computer software program making rounds in today’s workplace environment. More and more employees are being asked to hone their Excel skills in order to survive in the highly competitive market.
From the employer’s viewpoint, especially those who are associated with IT, the use of Excel is gaining prominence and for all the right reasons. Not only it is being used by business professionals to carry out daily functional tasks but also a large chunk of experts rely on it for decision support.
Continue reading “5 Popular Uses of MS Excel for Better Business Growth”
Everyone adores MS Excel. The powerful Excel software not only excels in doing basic computations but is also used for various formidable purposes, like financial modeling and business strategies. For novices, employing the skills of MS Excel can open new vistas in the world of data analytics. It is even being said – prior to R or Python, better grab the knowledge about Excel. Excel, with its wide array of functions, visualizations and skills empowers the users to quickly generate insights about data from the data, which would take a great toll otherwise.
For mapping the city name from the customer tables, based on a regular “customer id”, use function vlookup()
Syntax: =VLOOKUP(Key to lookup, Source_table, column of source table, are you ok with relative match?)
For this problem, we can type formula in cell “F4” as =VLOOKUP(B4, $H$4:$L$15, 5, 0) and this will return the city name for all the Customer id 1 and after that, copy this formula for all Customer ids.
Tip: Do not forget to lock the range of the second table using “$” sign – a common error when copying this formula down. This is known as relative referencing.
Check out the following table:
Here, we want to create a URL structured on input of host name and request path.
Use formula =concatenate(B3,C3) to solve the issue, and copy it.
Tip: Try to use “&” symbol, as it is shorter than typing a full “concatenate” formula, and does the exactly same thing. The formula can be written as “= B3&C3”.
Syntax: =Len(Text)
Example: =Len(B3) = 23
Syntax: =Trim(Text)
Undoubtedly MS Excel is one of the most robust programs ever created, and it still remains to be the golden standard for all business outcomes worldwide. Irrespective of whether you are a fresh blood or a veteran user, there is always some scope to learn new things in Excel, which makes it an all-time-favorite software program.
To follow such interesting blogs on Excel, SAS, Big Data and other branches of Big Data, reach us at DexLab Analytics. We are the prime advanced Excel institute in Gurgaon and expect nothing but the best from us!
This post originally appeared on – www.analyticsvidhya.com/blog/2015/11/excel-tips-tricks-data-analysis
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In this Excel tutorial, we at DexLab Analytics will dig a little deeper with our Excel knowledge and explain how to use the Excel AND function with proper examples, and syntax use.
The MS Excel AND function works to return TRUE if all the conditions are true. And it returns FALSE if any of the conditions are false. The AND function is an internal function in Excel that is categorized as a Logical Function. It can be utilised as a Work Sheet (WS) function in Excel. Moreover, as a worksheet function, the AND function may as well be included as a part of a formula in a normal excel cell of a worksheet.
Continue reading “Learn To Use The AND Function in Excel WS”
Here in this video tutorial we have discussed in detailed steps, how to create a Speedometer chart in MS Excel. A Speedometer chart is often called as a gauge chart and combines two different type of charts, a pie chart and a doughnut chart.
The Speedometer dial is made with the help of using a Doughnut chart and needle is actually a combination of two types of charts, another doughnut chart and a pie chart.
A speedometer chart or a gauge chart can be created in other data visualization software as well, like for instance in Tableau and is usually easier to create due to availability of better controls and features. It is due to the simplistic nature of these charts which is well adjusted to context of data and is a great use of space in a spreadsheet that charts like these are popular with non-data executives. Usually such non-data personnel do not want to dig deep into the contextual details like an analyst which is why these charts are great for using in a presentation where diverse departmental executives will be participating.
Gauge charts pack in a lot of horsepower and form a sort of ubiquitous symbol when it comes to understanding business metrics from an analytical point of view. So, learn to create these charts with our simple tutorial and for more such interesting lessons on data analysis software, join us every day as we share technical posts based on data on a regular basis.
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By now every business owner and manager is aware of the latest megatrend related to data analysis and knows that they should make data-driven decisions only at work. Gut feeling and winging it are now practices outdates as they have proved time and again that they fail. But the problem still remains in the know-how of parsing through all the layers of data streaming into your systems. Do you have the requisite know how?
Luckily for you, you may not be the one to crunch all the numbers (phew!). You pay other robotic data analytics personnel to do that for you. But you must correctly understand the analysis report that is handed over to you for interpretation after your colleagues are done with all the heavy lifting. A common practice is the realm of data analysis is regression analysis. Continue reading “Let us Revise Regression Analysis”
MS Excel needs no introduction as spreadsheet program. As part of the MS Office suite it has been a regular software skill expected from employees across the globe regardless their roles or levels. But the utility of MS Excel in the world of Big Data is not so widely acknowledged due to the lack of awareness. But that does not rob it of any of its sting as a Big Data tool to advanced Excel users.
So if you are keen to know more about the emerging technology that elite techies cannot stop raving about, a solid grounding in MS Excel will serve you well. Accordingly DexLab Analytics has scheduled a symposium on the topic of Designing MS Excel Dashboards as an introduction to the Big Data capabilities of Big Data to aspiring data analystand data scientists. The symposium is going to be MS Excel Experts who also instruct students of DexLab Analytics most of whom have been advanced users of MS Excel for more than a decade.
The main speaker of the symposium is an industry expert who is currently attached with a leading Multi-National Company for over 5 years. He will bring with himself invaluable information regarding the latest developments in data science. We will cover the following topics in the meet scheduled to be held on the 26th of January:
The interactive session with industry professionals with many years of experience and help you acquire invaluable exposure to the basics of MS Excel so that you get a foretaste of what lies in store for you in this new and exciting world called Big Data.
Note: It is assumed that the participants of this event have a basic understanding of the rudiments of statistics.
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MS Excel VBA has uses in various facets of day to day activities of businesses. But it is a little known factthat this tool may also be used to carry out advanced functions like predicting future sales. This blogpost will try to represent in as an illustrative way as possible how it manages to do the same with thelimitations imposed by the format of this text based post.Suppose we have sales data of two sets for 24 periods within the time range of January 2013 to the December of 2014.
What we are trying to do is to utilize the function LINEST in order to predict sales for the year 2015 by making use of method of least squares as well as regression analysis. The elementary knowledge of this function suggests that it is worth sharing. In the lines that follow we will try to examine the rudiments of this function and the formula that we will put into use in the calculations we make.
The use of the LINEST function lies in regression analysis in order to make calculations about a line that uses the least squares method and return a straight line that is best fitted to the data that you input and outputs an array that serves as a description of the particular line.
The equation that represents the line is: y = mx + b
Here m stands for the slope, x represents the period of time dealt with the data and b is the y intercept.It is to be noted that there is necessity of having a column that indicates the period number of the existing as well as future sales. It should also be noted that while you use the LINEST function so that you may calculate the values of the Y- Intercept along with that of the slope those cells need to reside side by side.
So, what one has to do is to highlight the two cells that you want to use in order to make calculations of the Y-Intercept and the Slope before typing in the LINEST function. In such cases all that is needed is to include the “y”s that are already known. It is up to you whether you want to provide other arguments as they are optional. Then all you need to do is press Ctrl+Shift+Enter and you get the Y-Intercept and the Slope.
The magic that takes place in the background is basically this, by making use of the Slope and the Y-Intercept Excel does its crystal ball gazing and takes the last sales data of the precious 24 months and creates a straight-line that forecasts the trend that is likely to persist in the coming 12 months.
What Excel actually does is that it takes the actual values and manipulates them slightly to that is able to come up with a straight-line that serves as the trend line that extends out to the periods of forecast and thus the actual values and the values of the forecast have trends that are similar.This is the basics of crystal ball gazing through the use of MS Excel.
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We are all in the midst of the onslaught of information overload in many ways. We create it, transfer it and heartily participate in it. To get a grasp of the actual reality faced by businesses of all sizes, one needs to understand the exact scenario. According to IDC1, “The big data and analytics market will reach $125 billion worldwide in 2015” Further, IDC predicts, “Clearly IoT (Internet of Things) analytics will be hot, with a five-year CAGR of 30%.”
Data is created from all the posts made every second globally on social media, the humongous chatter, digital photo sharing, video uploads, online transactions, all the cell phone signals etc. – are all forms of data being generated leading to a massive information overload across servers and of course the cloud platforms.
All this digitization has led to a severe business challenge – so much big data, but how to make sense of all this? How does one use it for any kind of business related decision or direction? The following are some tips to help business make some sense from all this data right within their ambit.
Big data remains big, unless methods are employed to break it into tiny usable groups of information. Eliminating, cross-referencing and grouping are the first steps to sort out various disparate data bytes.
There will always be the challenge of similar data springing up and being stored. Deduplication works as a primary point of ensuring that there is a reduction in the same data coming up for analysis.
The role of specific technology cannot be ignored, when it comes to ensuring that all this big data is streamlined, stored safely and processed using the latest available techniques.
Even the smallest and seemingly insignificant amount of information may be relevant and hold key insights.
The ecosystem revolving around the actual analysis of the big data needs to evolve into a more standardized format to be used across flexible structures leading to quicker outputs, better results and arriving at useful insights.
This is one of the most important aspects, when it comes to actually making sense of all the data lying around across organizations. This is where trained and certified big data analysts appear.
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