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- BUSINESS DATA ANALYSIS WITH MICROSOFT EXCEL HOW TO
- BUSINESS DATA ANALYSIS WITH MICROSOFT EXCEL SERIES
Visualizing your data through charts in Excel helps you communicate ideas effectively. In a nutshell, these tools save you time and effort when you don’t have all the data available to answer a certain question.
BUSINESS DATA ANALYSIS WITH MICROSOFT EXCEL HOW TO
By changing values in cells, you can see what the outcome would be.Īnother useful feature of this tool is Excel’s Goal Seeker, which helps you understand how to achieve the desired goal (for example, a revenue target). What-if analysis allows you to create different scenarios and easily compare results. They’re useful for analyzing and spotting trends in data related to performance, like customer support and seasonal fluctuations, or to highlight high or low values.
BUSINESS DATA ANALYSIS WITH MICROSOFT EXCEL SERIES
Your browser does not support the video tag.įor more granular results, you can combine this with other features such as sparklines, which are tiny line charts that display your data from a series of values. The example below, shows how to create a conditional formatting rule in a dataset of NPS scores: “If the value is greater than 8, color the cell green”. For instance, you might want to use this rule to add a color gradient to NPS scores, to easily identify promoters, passives, and detractors. Conditional FormattingĬonditional formatting in Excel automatically highlights cells using colors based on predefined rules, making it easy for you to identify different data.
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In the final pivot table, above, sentiment data has been summarized in columns and topic data in rows, and Excel has automatically calculated the totals. In this example, below, product reviews previously classified by topic and sentiment using MonkeyLearn (we’ll explain this later), are summarized in a pivot table show the number of Positive, Negative, and Neutral opinions for each business aspect (Ease of Use, Performance, Features, and more): Your browser does not support the video tag. With a clear question in mind, you’ll have a better idea of the data to include. The flexibility to blend information also makes it easy to spot trends that might otherwise go unnoticed.īefore building a pivot table, decide on the final outcome: what are you trying to understand? Maybe you want to know which product was more popular during the summer season or identify segments of customers based on purchasing behavior.
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You can quickly build a pivot table by dragging and dropping fields and rearranging them without needing to write any formulas. Otherwise known as cross-tabulation, pivot tables are used to summarize (or slice) data so that you can focus on specific aspects that you want to explore in more depth. Pivot tables are one Excel’s most powerful features for data analysis.
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