The Game of Thrones Finale Wasnt Perfect, But It Made the Season a Hell of a Lot Better. After six episodes that have been incredible, infuriating, revealing, confusing, and epic, last nights Game of Thrones finale had a great many things to answer for.
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The number I entered.I only need 2 decimal places.You can bring up the.Format Cells.Macintosh. users, remember that is Ctrl click.From the following.Format Cells.Step 4 Using formatting buttons .There are several toolbar buttons which allow one click.To illustrate I entered the same number in four cells.I plan to use for each cell.With cell A1 selected I clicked once.Tutorial/Microsoft-Office-Excel-2007Images/Edit_Data_Source___Chart_Data_Range_Displays_Data_Rang.PNG' alt='How To Edit Data In Excel Chart' title='How To Edit Data In Excel Chart' />Currency button.Drivers Windows Xp Aspire One D270 Reviews more.In cell B1 I selected the Percent button.I selected the Increase Decimal button for cell C1.The Decrease Decimal button was used to format cell D1.These four actions produced the following.As you can see, the Percent button simply.Care must be exercised.Step 5 Other formatting options The.Format toolbar includes several formatting options which can be.If you need a review of these options, go back.Formatting.Step 6 Editing entered data If.You do not need to highlight or delete.Typing.If you do not want to replace the data, but.Formula bar.When your cursor turns into an I Beam, click.Step 7 Review cursor.There are four common cursor styles used in Excel.Become familiar with each style.Click and drag to highlight multiple cells with this.Click and drag with this cursor to fill cell contents.Click and drag the contents of the selected cell to.Click to place the cursor into the Formula bar so that.Next Module Worksheet Basics Using Automatic.Best Excel Charts Types for Data Analysis, Presentation and Reporting.Index.The importance of data visualization.Data visualization is the presentation of data both qualitative and quantitative data in graphical format.Through data visualization you can easily Visualise data make sense of data, especially big dataClassify and categorise data.Find relationship among data.Understand the composition of data.Understand the distribution of data.Understand the overlapping of data.Determine patterns and trends.Detect outliers and other anomalies in data.Predict future trends.Tell meaningful and engaging stories to decision makers.Data presentation is a very important skill for an optimizer marketer, analyst.In fact it is so valuable that Linked.In lists it as one of the top skills that can get you hired in 2.Source Linked.In Unveils The Top Skills That Can Get You Hired In 2.Excel charts are commonly used for data visualisation and presentation.But selecting the right excel chart is always a challenge.If you use an incorrect Excel chart for your analysis, you may misinterpret data and make the wrong business and marketing decisions.If you use incorrect an Excel chart for your presentation, then stakeholders may misinterpret your charts and take wrong decisions.Therefore selecting the right Excel chart is critically important.The anatomy of an Excel chart.In order to read an Excel chart, it is important that 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the following Months are plotted on the primary horizontal axis.Sales, cost and profit are plotted on the primary vertical axis.ROI is plotted on the secondary vertical axis.In order to add, remove or edit a chart element in Excel 2.Step 1 Open MS Excel and navigate to the spreadsheet which contains the chart you want to edit.Step 2 Select the chart and then from the Design tab select Add Chart Element drop down menu You can also include Data table in the chart above, by following the steps below Step 1 Click on the chart in Excel 2.Step 2 Click on Add Chart Element Data Table With legend Keys You can now see your chart with data table The type of Excel chart you select for your analysis and reporting depends upon the type of data you want to analyse and report and what you want to do with data Visualise data make sense of data esp.Classify and categorise data.Find relationship among data.Understand the composition of data.Understand the distribution of data.Understand the overlapping of data.Determine patterns and trends.Detect outliers and other anomalies in data.Predict future trends.Tell meaningful and engaging stories to decision makers.Most common data types.Following are the most common data types that can be visualised Quantitative data also known as intervalratio data is the data that can be measured.For example 1.ROI, weight etc.Qualitative data is the data that can be classifiedcategorized but it can not be measured.For example colours, satisfaction, rankings etc.Discrete data quantitative data with finite number of values observations.For example 5 customers, 1.Continuous data quantitative data with value observation within a rangeinterval.For example sales in the last one year.Nominal data qualitative data that can not be put into a meaningful order i.For example Blue, Yellow, Green, Red, BlackOrdinal data qualitative data that can be put into a meaningful order i.For example Very Satisfied, Satisfied, Unsatisfied, very unsatisfied or Strong dislike, dislike, neutral, like, strong likeWhen to use a clustered column chart1 Use a clustered column chart when you want to compare two to four data series.In other words, avoid using column charts if you have just one data series to plot Alternatively, avoid creating a column chart which has got more than four data series.For example following chart contains just five data series and it has already started looking cluttered The chart below contains 1.If you want to to create a column chart which contain lot of data series then you can try switching row and column of the chartand see whether it makes any difference For example, after switching the row and column of the chart with 1.Now this chart, though still look cluttered, is much easier to read and understand.Use a clustered column chart when the data series you want to compare have same unit of measurement.So avoid using column charts which compare data series with different unit of measurements.For example in the chart below Sales and ROI have different unit of measurements.The data series Sales is of type number.Whereas the data series ROI is of type percentage 3 Use a clustered column chart when the data series you want to compare are of comparable sizes.So if the values of one data series dwarf the values of the other data series then do not use the column chart.For example in the chart below the values of the data series Website Traffic completely dwarf the values of the data series named Transactions 4 Use a clustered column chart when you want to show maximum and minimum values of each data series you want to compare.Use a clustered column chart when you want to focus on short term trend i.Breaking a clustered column chart.The chart below contains 1.One method of making this chart easier to read and understand is by breaking it into several smaller clustered column charts.For example, you can create one column chart which just compare the sales performance of various countries in January.Create another column chart which just compare the sales performance of various countries in Feb and so on The rule of thumb is to avoid presenting too much data in one chart, regardless of the chart type you use.When to use combination charts.A combination chart is simply a combination of two or more charts.For example the combination of a column chart with a line chart.I use combination charts a lot and I think you must know how to create them as they are very useful.Following is a short video on creating a combination chart in excel 1 Use a combination chart when you want to compare two or more data series that have different units of measurement 2 Use a combination chart when you want to compare two or more data series that are not of comparable sizes When to use a stacked column chart.Use a stacked column chart when you want to compare data series along with their composition and the overall size of each data series is important When to use a 1.Use a 1. 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