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#Exceleration Reel by @globalexcelsummit - There are many ways to launch Excel.

You might use the desktop icon, the taskbar, the Start menu, or scroll through the app list. But there's a lesse — There are many ways to launch Excel. You might use the desktop icon, the taskbar, the Start menu, or scroll through the app list. But there’s a lesser-known way… Hold 𝗖𝘁𝗿𝗹 + 𝗦𝗵𝗶𝗳𝘁 + 𝗔𝗹𝘁 + 𝗪𝗶𝗻𝗱𝗼𝘄𝘀 𝗸𝗲𝘆 and press 𝗫. …Excel powers up instantly. There’s also an equivalent for other Microsoft 365 apps, including: • 𝗪 for Word • 𝗣 for PowerPoint • 𝗢 for Outlook Now you know these shortcuts, you might even be tempted to unpin the apps in your taskbar to free up some space! ✄--- By @andrewcharlesmoss #exceleration #excel #globalexcelsummit

#Exceleration Reel by @redeyeworldwide (verified account) - On this edition of Redeye Staff Picks, our video series where our staff picks their favorite titles from our vast catalog, we're joined by Diana Lynch — On this edition of Redeye Staff Picks, our video series where our staff picks their favorite titles from our vast catalog, we’re joined by Diana Lynch, the Digital Marketing Coordinator for our parent company Exceleration Music, as she picks three of her favorite Redeye-distributed titles. So, hear what she has to say about @kimrichey’s Every New Beginning (@yeproc), @adriannelenker’s Bright Future (@4ad) and @jointruthclub’s Running From the Chase (@dbldblwhmmy)! #vinyl #vinylcollection #vinylcollectionpost #indiemusic #folkmusic #folk #indie #indierock #recordstore #recordshop #kimrichey #yeproc #adriannelenker #bigthief #4ad #truthclub #doubledoublewhammy

#Exceleration Reel by @excelerateur - Dans l'exploration de l'histoire ancienne, nous nous tournons vers la Perse antique et nous demandons : Que pouvons-nous apprendre de cette civilisati — Dans l'exploration de l'histoire ancienne, nous nous tournons vers la Perse antique et nous demandons : Que pouvons-nous apprendre de cette civilisation remarquable ? Alors que nous sondons les pages du passé, nous découvrons des valeurs fondamentales qui ont modelé leur société et qui peuvent encore aujourd'hui nous servir de guide. La justice, tout d'abord, se dressait comme un idéal central dans la Perse antique, gravée dans la pierre par des rois avisés qui comprenaient l'importance d'un système équitable pour la prospérité de leur empire. L'Equité, ensuite, n’était pas un concept lointain mais une réalité tangible vécue au quotidien par les citoyens perses, offrant un modèle de société où chaque individu avait sa place et ses droits. La Tolérance, par ailleurs, s'illustrait à travers une coexistence pacifique des cultures et des religions différentes au sein de l'empire. La Perse a montré qu’un pouvoir pouvait gouverner une mosaïque de peuples tout en préservant leur diversité et en favorisant le respect mutuel. Enfin, en termes d'Administration, les Perses ont mis en œuvre des systèmes et des procédures organisés qui sont la preuve d'une compréhension avancée de la gestion des affaires d’état. Réfléchir sur ces leçons historiques, c'est reconnaître que les accomplissements perses en matière de justice, d'équité, de tolérance et d’administration ont jeté les bases de ce que l’on considère encore de nos jours comme les piliers d’une civilisation évoluée et bien organisée. Qu'en pensez-vous? #apprendredelhistoire #coaching #success #réussite #exceleration #confiance #confianceensoi #CoachingDeVie #DéveloppementPersonnel #CoachingProfessionnel #CroissancePersonnelle #Motivation #Leadership #Objectifs #Inspiration #ConfianceEnSoi #Épanouissement #Changement #SuccessMindset #Transformation #Mentorat #Progression #DépassementDeSoi #Bienêtre #Équilibre #RéalisationDeSoi #StratégiesDeCoaching

#Exceleration Reel by @globalexcelsummit - Heatmaps are a great way to spot patterns in data at a glance. This example uses data in A1:C69 to visualise shop footfall by day and hour:

df = xl(" — Heatmaps are a great way to spot patterns in data at a glance. This example uses data in A1:C69 to visualise shop footfall by day and hour: df = xl("A1:C69", headers=True) df["Day"] = pd.Categorical( df["Day"], ["Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"], ordered=True ) sns.heatmap( df.pivot( index="Day", columns="Hour", values="Customers in shop" ), cmap="RdYlGn_r", annot=True ).set_title("Shop footfall by day and hour") Start by typing =PY( to enter Python mode. Assign the whole data range to a DataFrame called df to make the data available to Python. Next, convert the 'Day' column into a categorical and explicitly define the order from Monday through Sunday. Setting the category as ordered ensures the rows appear in a natural sequence rather than alphabetical order. Reshape the data using a pivot: place 'Day' on the vertical axis, 'Hour' across the bottom, and use 'Customers in shop' as the grid values. Pass this pivoted data into Seaborn’s heatmap function. Apply a reversed red–yellow–green colour map, so red highlights the busiest periods and green the quietest. Switch annotations on to display the values, and finish by setting a clear title. #excel #exceltips #exceleration #globalexcelsummit

#Exceleration Reel by @excelerateur - Conseils en Leadership: Encourage l'innovation et la créativité

💡 L'innovation naît de la liberté !

🌟 Encouragez la créativité au sein de votre éq — Conseils en Leadership: Encourage l'innovation et la créativité 💡 L'innovation naît de la liberté ! 🌟 Encouragez la créativité au sein de votre équipe. #Innovation #Leadership #Creativity #exceleration #coaching #success #réussite #exceleration #confiance #confianceensoi #CoachingDeVie #DéveloppementPersonnel #CoachingProfessionnel #CroissancePersonnelle #Motivation #Leadership #Objectifs #Inspiration #ConfianceEnSoi #Épanouissement #Changement #SuccessMindset #Transformation #Mentorat #Progression #DépassementDeSoi #Bienêtre #Équilibre #RéalisationDeSoi #StratégiesDeCoaching

#Exceleration Reel by @globalexcelsummit - Hiding one or multiple Excel worksheets is useful for several reasons.

Firstly, it's a way of reducing clutter. Unnecessary worksheet tabs only leng — Hiding one or multiple Excel worksheets is useful for several reasons. Firstly, it's a way of reducing clutter. Unnecessary worksheet tabs only lengthen the tab strip along the bottom, so reducing the amount makes it easier to find the worksheet you want to jump to. Part of that clutter might be supporting worksheets, which are necessary for the main sheets to calculate correctly, but there's no reason to have them on show continually. You might also have archive reports or statements from previous years that are seldom used. Or you have sensitive and confidential data that you don't want anyone to see when sharing the workbook (be cautious about this!). Whatever the reason, it's worth being aware of a couple of ways to hide a worksheet. The standard method is to right-click on the tab and select Hide. Great! The tab is hidden; however, right-clicking on another and selecting Unhide brings up a window with a list of the hidden sheets that can easily be made visible again. For a higher level of invisibility, open the VBA Editor (Alt + F11), click on a sheet in Project Explorer and choose 2 - xlSheetVeryHidden. This goes a step further than xlSheetHidden and hides the worksheet from the Unhide window. Many users wouldn't even know this extra option exists, and they would have to go out of their way to find it. Whilst having the extra layer is good, it's important not to misuse it. Merely hiding sensitive and confidential data is not always smart, although it does depend on your circumstances. And if you're thinking of combining this with password protection, just be aware that isn't very secure either, so sometimes the best option is to move it over to a separate unshared workbook. It's also worth noting that hiding a worksheet through the VBA Editor still allows you to save your file in XLSX format, as there’s no VBA code involved. #exceleration #excel #globalexcelsummit

#Exceleration Reel by @globalexcelsummit - Counting the number of characters or words in a string is useful for various reasons. You might be conducting text-based analysis, language processing — Counting the number of characters or words in a string is useful for various reasons. You might be conducting text-based analysis, language processing tasks, or planning social media posts. In the example, a table houses a list of hotel reviews in A2:A18. How do we find the character and word count of each one? 𝗖𝗵𝗮𝗿𝗮𝗰𝘁𝗲𝗿 𝗖𝗼𝘂𝗻𝘁 The LEN function returns the number of characters in a text string, so it's a straightforward task of referencing the reviews range inside. =𝙻𝙴𝙽(𝙰𝟸:𝙰𝟷𝟾) 𝗪𝗼𝗿𝗱 𝗖𝗼𝘂𝗻𝘁 The formula required is best understood broken down. Let's use the review in A2 for the example: "The room was clean and comfortable." 1️⃣ In E2, use TRIM to remove any excess spaces from the string (there aren't any in this case). =𝚃𝚁𝙸𝙼(𝙰𝟸) The room was clean and comfortable. 2️⃣ In F2, use SUBSTITUTE to swap each space for an empty string, removing all spaces. =𝚂𝚄𝙱𝚂𝚃𝙸𝚃𝚄𝚃𝙴(𝙰𝟸," ","") Theroomwascleanandcomfortable. 3️⃣ In G2, subtract the character length of the string 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 spaces from the string 𝘸𝘪𝘵𝘩 spaces. =𝙻𝙴𝙽(𝙴𝟸)-𝙻𝙴𝙽(𝙵𝟸) 35 – 30 = 5 4️⃣ Add 1 to include the word after the final space. =𝙻𝙴𝙽(𝙴𝟸)-𝙻𝙴𝙽(𝙵𝟸)+𝟷 6 Put together, this is the final formula for retrieving the word count of each review: =𝙻𝙴𝙽(𝚃𝚁𝙸𝙼(𝙰𝟸:𝙰𝟷𝟾)) - 𝙻𝙴𝙽(𝚂𝚄𝙱𝚂𝚃𝙸𝚃𝚄𝚃𝙴(𝙰𝟸:𝙰𝟷𝟾," ","")) +𝟷 #exceleration #excel #globalexcelsummit

#Exceleration Reel by @globalexcelsummit - PART 2

Two exciting new functions were announced last week: GROUPBY and PIVOTBY.

These provide a powerful yet simple way to perform data aggregatio — PART 2 Two exciting new functions were announced last week: GROUPBY and PIVOTBY. These provide a powerful yet simple way to perform data aggregations using a single formula. ❖ GROUPBY — aggregates a range of values by row group. ❖ PIVOTBY — aggregates a range of values by row and column group. One of the downsides of regular pivot tables is having to right-click on one and select Refresh to update it. These functions solve that problem by dynamically updating any time you change the source data. Both are currently only available to Microsoft 365 Insiders on the Beta Channel, so you'll have to wait a while before they reach the production version. You might also notice a few bugs, such as column headings not appearing and missing AutoComplete boxes for arguments. No doubt these issues will be ironed out, though! To find out more information about GROUPBY and PIVOTBY, head to https://techcommunity.microsoft.com/t5/excel-blog/new-aggregation-functions-groupby-and-pivotby/ba-p/3965765#. If you've already played around with the functions, what are your initial impressions? #exceleration #excel #microsoftexcel #excelformulas #exceltips #exceltricks #globalexcelsummit

#Exceleration Reel by @globalexcelsummit - Scraping data from websites is useful for research and analysis of all kinds. However, do you have to resort to special tools or coding?

The short a — Scraping data from websites is useful for research and analysis of all kinds. However, do you have to resort to special tools or coding? The short answer is no. Excel offers a quick and convenient way of extracting content from the Web to dump in Excel. In the video example, we scrape fixtures and results data for the forthcoming 2023/24 Premier League football season. The process is as follows: 1️⃣ In a web browser, go to https://lnkd.in/e6nc5mDw. 2️⃣ In Excel, on the Data tab, select From Web. 3️⃣ Copy the URL from Step 1 and paste it into the field. 4️⃣ Select OK. 5️⃣ Select Table 0 from the list. 6️⃣ Select Load. The query loads the data from the website and plants it in the worksheet. It doesn't matter if you edit anything or delete any of the table rows. A simple click of the Refresh button on the Query contextual tab dynamically updates the table to retrieve the latest data from the website. This is also ideal, given the results and fixture dates will update throughout the season. Try adapting the instructions for a website you want to scrape. #exceleration #excel #microsoftexcel #excelformulas #exceltips #exceltricks #globalexcelsummit

#Exceleration Reel by @globalexcelsummit - It's often good practice to have a title in each Excel worksheet to easily distinguish between them. Typically, this will match the worksheet's tab na — It's often good practice to have a title in each Excel worksheet to easily distinguish between them. Typically, this will match the worksheet's tab name. The issue is if you update one, that change will not be automatically updated in the title. If your tab names are subject to change, it's better to make one set of changes rather than two lots. Therefore, to keep the worksheet titles synchronised with the tab names, it's necessary to use a formula in each that can grab this piece of information. The CELL function returns information about the formatting, location, or contents of a cell. The 𝗍𝖾𝗑𝗍 argument features a range of options in the AutoComplete menu, but it's "filename" that's needed to return the path of the current workbook, from the root folder down to the sheet name. In the video example, =𝖢𝖤𝖫𝖫("𝖿𝗂𝗅𝖾𝗇𝖺𝗆𝖾") returns: \\𝖬𝖺𝖼\𝖧𝗈𝗆𝖾\𝖣𝖾𝗌𝗄𝗍𝗈𝗉\[𝗌𝗒𝗇𝖼-𝗐𝗈𝗋𝗄𝗌𝗁𝖾𝖾𝗍-𝗍𝗂𝗍𝗅𝖾-𝗐𝗂𝗍𝗁-𝗍𝖺𝖻-𝗇𝖺𝗆𝖾.𝗑𝗅𝗌𝗑]𝖲𝗁𝖾𝖾𝗍𝟣 At this point, "Sheet1" needs to be extracted. The easiest way is to wrap TEXTAFTER around the formula and specify "]" as the 𝖽𝖾𝗅𝗂𝗆𝗂𝗍𝖾𝗋. This is the starting point for grabbing the text that comes after. The final formula =𝖳𝖤𝖷𝖳𝖠𝖥𝖳𝖤𝖱(𝖢𝖤𝖫𝖫("𝖿𝗂𝗅𝖾𝗇𝖺𝗆𝖾"),"]") returns "Sheet1". However, when the tab name is changed to "2024 Sales", the title now updates automatically! #exceleration #excel #globalexcelsummit

#Exceleration Reel by @globalexcelsummit - Number formats are a way of telling Excel how to output data.

Although they don't affect the underlying values, they improve readability, consistenc — Number formats are a way of telling Excel how to output data. Although they don't affect the underlying values, they improve readability, consistency, and make analysis easier. One of the 11 built-in choices is Percentage. It's designed for cells that contain percentages. However, it can easily be misused due to how it behaves. Firstly, it's important to understand that Excel stores percentage values as decimals 'under the hood'. That means 25% is 0.25, 50% is 0.5, and 100% is 1. These aren't very reader-friendly, though, which is why Percentage exists. Assuming General, the default number format is the starting point; applying Percentage will multiply a value by 100, which means two extra zeros are added, along with the same number of decimal places. For example, 75 and 67 become 7500.00% and 6700.00%, respectively. Not very sightly, eh? This problem stems from: ➤ not setting the number format as Percentage from the start ➤ not inputting percentages in decimal format ➤ working with datasets that don't store percentages in decimal format Also, as the percent sign is often only included in headings and omitted from values, Excel does not get the trigger it needs. Thankfully, by doing the following, you can solve this: 1. Input 100 in a cell. 2. Select the cell and press Ctrl + C to copy the value. 3. Select the affected percentages and press Alt + E + S to open the Paste Special window. 4. Choose the Divide radio button and select OK to turn the percentages into decimals. 5. Change the Number Format back to Percentage. 6. Select the Decrease Decimal button twice to remove the zeros after the decimal point. Problem solved! #exceleration #excel #globalexcelsummit

#Exceleration Reel by @globalexcelsummit - It's common to have data stored across multiple files that you want to combine to make analysis easier.

One way is to manually copy and paste the da — It's common to have data stored across multiple files that you want to combine to make analysis easier. One way is to manually copy and paste the data from each into the same worksheet. However, there is a more efficient method. Carry out the following steps: 1️⃣ On the Data tab, go to Get Data > From File > From Folder. 2️⃣ Navigate to the folder containing the files and select Open to bring up a window with details about each one. 3️⃣ Select Combine > Combine & Transform Data, and specify the settings for each file (if necessary). 4️⃣ Select OK to launch the Power Query Editor. 5️⃣ Apply any necessary transformations to get the data up to scratch. 6️⃣ Select Close & Load > Close & Load To. 7️⃣ Choose 'Existing worksheet' and select OK to load the data into the worksheet. In the video example, several CSV files are housed in a folder containing sales data for different years. For step 5, three changes are necessary. Firstly, the autogenerated Source.Name column is removed, as the original file name each row belongs to is not needed. Secondly, the repeated column headers are also removed from the data, so only one row remains of them. These are then promoted as the column headers, replacing the generic Column1, Column2, and Column3. On that note, it's worth mentioning that data is rarely perfect, so it's highly likely you'll need to pop into Power Query to make adjustments. If you don't, at step 3, you can always use Combine & Load instead to dump straight to the grid. #exceleration #excel #globalexcelsummit

✨ Guide de Découverte #Exceleration

Instagram héberge thousands of publications sous #Exceleration, créant l'un des écosystèmes visuels les plus dynamiques de la plateforme.

Découvrez le dernier contenu #Exceleration sans vous connecter. Les reels les plus impressionnants sous ce tag, notamment de @redeyeworldwide, @globalexcelsummit and @excelerateur, attirent une attention massive.

Qu'est-ce qui est tendance dans #Exceleration ? Les vidéos Reels les plus regardées et le contenu viral sont présentés ci-dessus.

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