📄Charts

The Charts area within the Insert tab in MS Excel is your one-stop shop for visualizing your data through various kinds of charts and graphs. It offers a plethora of options to choose from, allowing you to tailor your visuals to best represent your information.



Recommended Charts
The "Recommended Charts" button in the Insert tab of MS Excel is an intelligent feature that takes the guesswork out of choosing the right chart for your data. It analyzes your selected data and suggests the most suitable chart types based on its structure and trends. Think of it as your own personal AI chart consultant!Here`s how it works:
Select your data: Highlight the data range you want to visualize with a chart.
Click the "Recommend Charts" button: You`ll find it under the "Charts" group in the Insert tab.
Explore the recommended charts: A pane will appear displaying various chart types tailored for your data. Each chart includes a preview and a short description about its suitability.
Choose your ideal chart: Click on the chart thumbnail that best suits your needs and preferences. Excel will automatically create the chart on your worksheet.
Further customize (optional): You can further refine the chart by adjusting data series, formatting elements, adding titles and labels, etc., just like any other Excel chart.

Insert Chart Buttons
Column Charts: Ideal for comparing values across categories. Each data series is represented by a vertical column.
Stacked Column Chart: Shows how multiple data series contribute to a total value. Columns are stacked on top of each other.
Clustered Column Chart: Compares multiple data series within each category. Multiple columns are grouped side-by-side for each category.
Bar Charts: Similar to column charts but with horizontal bars instead of vertical ones. Useful when you have many categories or limited space.
Stacked Bar Chart: Similar to stacked column chart, but with horizontal bars.
Clustered Bar Chart: Similar to clustered column chart, but with horizontal bars.
Line Chart: Shows trends over time or continuous data. Each data series is represented by a line connecting data points.
Stacked Line Chart: Shows how multiple data series contribute to a total value over time. Lines are stacked on top of each other.
Area Chart: Similar to a line chart, but the area below the line is filled with color, emphasizing the trend and magnitude of changes.
Pie Chart: Shows how parts of a whole contribute to the total value. Each data series is represented by a pie slice proportional to its value.
Doughnut Chart: Similar to a pie chart, but with a hole in the center, allowing for emphasis on specific data points.
Hierarchy Chart: A hierarchy chart (hierarchy diagram) is a tool that can be used to portray the elements of a system, organization or concept from its highest position to the lowest. The connecting lines explain the relationship between them. It is used in the field of education as well as in the field of business.
Treemap Chart: A treemap chart provides a hierarchical view of your data and makes it easy to spot patterns, such as which items are a store`s best sellers. The tree branches are represented by rectangles and each sub-branch is shown as a smaller rectangle.
Sunburn Chart: Use sunbursts when you need to represent many dimensions of data, unlike single dimension data which can be easily represented using a pie chart. In its structure, the rings are sliced up and divided based on their hierarchical relationship to the parent slice.
Histogram: The histogram is a popular graphing tool. It is used to summarize discrete or continuous data that are measured on an interval scale. It is often used to illustrate the major features of the distribution of the data in a convenient form.
Box and Whisker: Box and whisker plots portray the distribution of your data, outliers, and the median. The box within the chart displays where around 50 percent of the data points fall. It summarizes a data set in five marks. The mark with the greatest value is called the maximum.
Scatter Charts: Show relationships between two independent variables.
Bubble Charts: Similar to scatter charts, but with additional data represented by bubble size.
Waterfall Chart: A waterfall chart shows a running total as values are added or subtracted. It`s useful for understanding how an initial value (for example, net income) is affected by a series of positive and negative values. The columns are color coded so you can quickly tell positive from negative numbers.
Funnel Chart: A funnel chart helps you visualize a linear process that has sequential, connected stages. A common use for a funnel chart is to track sales customers through stages, such as Lead > Qualified Lead > Prospect > Contract > Close. At a glance, the shape of the funnel conveys the health of the process you`re tracking.
Stock Chart: A stock chart is most frequently used to show the fluctuation of stock prices.
Surface Chart: Surface Chart (3D Surface Plot) displays a set of three-dimensional data as a mesh surface. It is useful when you need to find the optimum combinations between two sets of data. The colors and patterns in Surface Charts indicate the areas that are in the same range of values by analogy with a topographic map.
Redar Chart: A radar chart displays multivariate data stacked at an axis with the same central point. The chart features three or more quantitative variables for comparison; these variables are known as radii. The map looks similar to the spider web, which is why it`s also called a spider chart.

Maps:
Filled Map: Filled maps are used to analyze the data variation or patterns across displayed locations. With a filled map, you visualize divided geographical areas that are colored or shaded according to one numeric variable.

Pivot Chart:
Pivot Chart: PivotCharts display data series, categories, data markers, and axes just as standard charts do. You can also change the chart type and other options such as the titles, the legend placement, the data labels, the chart location, and so on.
Pivot Table: A pivot table is a table of values which are aggregations of groups of individual values from a more extensive table within one or more discrete categories. The aggregations or summaries of the groups of the individual terms might include sums, averages, counts, or other statistics.