Difference between category axis and value axis

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Difference between category axis and value axis

How to Swap between X and Y Axis in Excel

You have two excellent choices when creating charts that show the progress of some value over time. Because Western cultures are used to seeing time progress from left to right, you are likely to choose a chart where the axis moves from left to right—whether it is a column chart, line chart, or area chart. The new Sparklines feature is another way to show trends with tiny charts.

8. Chart decorations

If you have only a few data points, you can use a column chart because they work well for 4 quarters or 12 months. Within the column chart category, you can choose between 2-D and 3-D styles.

To highlight one component of a sales trend, you can use a stacked column chart. This book recommends not using pyramid charts or cone charts because they distort your message.

When you get beyond 12 data points, you should switch to a line chart, which can easily show trends for hundreds of periods. Line charts can be designed to show only the data points as markers or data points can be connected with a straight or smoothed line.

Figure 3. With this detail, you should switch to a line chart in order to show the trend.

difference between category axis and value axis

The middle chart in this figure shows the same dataset as a line chart. An area chart is a line chart where the area under the line is filled with a shading or color. This can be appropriate if you want to highlight a particular portion of the time series. If you have fewer data points, adding drop lines can help the reader determine the actual value for each time period.

If you are plotting stock market data, use stock charts to show the trend of stock data over time. You can also use high-low-close charts to show the trend of data that might occur in a range such as when you need to track a range of quality rankings for each day. Even though bar charts can be used to show time trends, they can be confusing because readers expect time to be represented from left to right. In rare cases, you might use a bar chart to show a time trend.

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For example, if you have 40 or 50 points that have long category labels that you need to print legibly to show detail for each point, then consider using a bar chart. Another example is illustrated in Figure 3. This bar chart would not work as a PowerPoint slide. However, if it is printed as a full page on letter-size paper, the reader could analyze sales by weekday.

In the chart in Figure 3. It is difficult to compare a series of pie charts to detect changes from one pie to the next.After you have created a chart in Excel, what's the first thing you usually want to do with it? Make the graph look exactly the way you've pictured it in your mind!

In modern versions of Excel and Excelcustomizing charts is easy and fun. Microsoft has really made a big effort to simplify the process and place the customization options within easy reach. And further on in this tutorial, you will learn some quick ways to add and modify all essential elements of Excel charts. If you've had a chance to read our previous tutorial on how to create a graph in Excelyou already know that you can access the main chart features in three ways:.

Even more customization options can be found on the Format Chart pane that appears on the right of your worksheet as soon as you click More options… in the chart's context menu or on the Chart Tools tabs on the ribbon.

difference between category axis and value axis

Armed with this basic knowledge, let's see how you can modify different chart elements to make your Excel graph look exactly the way you'd like it to look. This section demonstrates how to insert the chart title in different Excel versions so that you know where the main chart features reside. And for the rest of the tutorial, we will focus on the most recent versions of Excel and In Excel and Excela chart is already inserted with the default " Chart Title ".

To change the title text, simply select that box and type your title:. You can also link the chart title to some cell on the sheet, so that it gets updated automatically every time the liked cell is updated. The detailed steps are explained in Linking axis titles to a certain cell on the sheet.

If for some reason the title was not added automatically, then click anywhere within the graph for the Chart Tools tabs to appear. Or, you can click the Chart Elements button in the upper-right corner of the graph, and put a tick in the Chart Title checkbox. Additionally, you can click the arrow next to Chart Title and chose one of the following options:. Clicking the More Options item either on the ribbon or in the context menu opens the Format Chart Title pane on the right side of your worksheet, where you can select the formatting options of your choosing.

For most Excel chart types, the newly created graph is inserted with the default Chart Title placeholder. To add your own chart title, you can either select the title box and type the text you want, or you can link the chart title to some cell on the worksheet, for example the table heading.

In this case, the title of your Excel graph will be updated automatically every time you edit the linked cell. In this example, we are linking the title of our Excel pie chart to the merged cell A1.Individual Axis : This is mainly used when only one mesaure is used in single line graph. One axis represents one measure information. Example: Sales by Year. Sales can be on one single axis with the range of values from source data.

Dual Axis : This is mainly used when two mesaures are used in dual lines graphs or charts. One axis represents one measure and other axis represents second mesaure.

Both axis will be parallel to each other with different range of values from the source data. When we select dual lines template from Tableau Show me list, by default it implements dual lines graphs or charts using dual axis concept. Example: Sales and Profits by Year. In this case the sales and profits are represented in two different axises.

Blended Axis : This is mainly used when more than two mesaures are used in multi lines graphs or charts. Also, when there is a need to show two measures on the same axis, then Blended Axis is the option to explore. We need to drag drop the scond, third and other mesaures in to the first axis of the measure to blend the multiple measures in to one.

In this case the single blended axis with multiple measures contains the range of values from the source to satisfy all the measures those are blended in to one axis. The name of the axis changes in to 'Value' which generic in nature. Example: Sales, Profits and Discounts by Year.Many a times, the patients go undiagnosed as the symptoms seem to be very subtle and not enough to make any diagnosis.

The categories are made to define prototypes of mental conditions. Axis 1 enlists clinical conditions that are psychological except personality disorders and mental retardation. Axis 2, on the other hand, deals with mental retardation and personality disorders. Axis 1 has more so acute conditions which are easily diagnosed. In Axis 1, the conditions listed are more amenable to treatment and can be cured by vigorous treatment.

Axis 2 has major conditions which arise in childhood and have become a way of living, a mutated personality, one may say. Axis 2 disorders are more permanent and very resistant to treatment. One has to be vigilant while dealing with such patients and even while diagnosing Axis 2 disorders. Even after diagnosing them, they are much less responsive to treatment. Axis 1 consists of lot of clinical conditions combined with developmental and learning disorders.

Anxiety disorders, cognitive disorders, eating disorders, mood disorders, sexual disorders and schizophrenia are listed under axis 1. Anxiety disorders consist of all types of phobic personalities, i. Cognitive disorders are dementia loss of memorylearning disability, Autism spectrum disorders, etc.

difference between category axis and value axis

Eating disorders are bulimia nervosa and binge eating eating at frequent intervals due to depression. Sexual disorders like vaginismus vagina becoming spasmodic and causing pain during intercourse and dysparunia painful intercourse are a part of Axis 1. The diagnosis can be made only after the general causes are ruled out. Axis 2 has more adaptation disorders like anti-social personality disorder in which one avoids being with people and is comfortable doing things alone.

difference between category axis and value axis

Obsessive compulsive personality disorder ia another of an axis 2 disorder in which one repeats some actions without realizing what makes them behave that way, for example one may have a habit of cleaning hands every time they touch some object. This may lead to the person washing hands over times each day causing chapping of skin and dryness.

The person is obsessed with the idea of cleanliness and it manifests in the form of hand washing repeatedly. This kind of behavior is akin to a social stigma as one will never overcome it even after counseling. Mental retardation cases are also listed under axis 2 classification.

Though axis 1 has many clinical conditions, they are temporary and can be overcome with multiple treatment options as against axis 2 disorders which people develop gradually since childhood and are difficult to change or leave behind completely. Summary: Axis 1 and Axis 2 differentiation helps classify conditions and hence treatment and handling becomes much easier.

Axis 1 disorders consist of psychological diagnoses excepting condition of mental retardation MR and various personality disorders. Axis 2 disorders encompass personality disorders like avoidant personality, narcissistic personality, etc and true mental retardation.This is the second part of the Introduction to Power BI visuals.

The main aim for this article is for the end user to learn these visuals in an easy manner. Here, I am writing an introduction series for all Power BI visuals so the end user or beginner will get a basic idea how visuals work. In the stacked column chart, Axis is represented on X-axis and the data is represented on Y-axis.

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This chart shows values sum, count etc. This chart is opposite of Stacked Column chart which we have discussed in my previous article. Ex We will learn this chart using Sales data which has the following columns. The data will look like this. I want to prepare a chart for total sales done by a company by region and item. I need total sales by region and when I drill down through the region, it will show me sales data by item. Here, these are the most important properties to create this chart.

Now, I want to show the number of items sold in each region. So, I will add Units field in my values field. Ex I want my first level drill down categorized with item count. When you need to achieve functionality on hover of bar chart tooltip is very useful. So, I will drag both the fields in my Stacked column chart. Ex On hover of the bar chart, I want to show total and unit cost.

After setting all these above properties, our chart will look like this. Please refer my previous article for design elements. In the next part, we will talk about Clustered bar chart and Clustered Column Chart in a deep manner.

View All. Dhruvin Shah Updated date, Nov 13 Overview Here, I am writing an introduction series for all Power BI visuals so the end user or beginner will get a basic idea how visuals work. Before you start with this tutorial I request that you look at my previous article.

Stacked Column Chart. Next Recommended Article.

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Getting Started With. NET 5.Keep in touch and stay productive with Teams and Officeeven when you're working remotely. Scatter charts and line charts look very similar, especially when a scatter chart is displayed with connecting lines. However, the way each of these chart types plots data along the horizontal axis also known as the x-axis and the vertical axis also known as the y-axis is very different. Before you choose either of these chart types, you might want to learn more about the differences and find out when it's better to use a scatter chart instead of a line chart, or the other way around.

The main difference between scatter and line charts is the way they plot data on the horizontal axis. For example, when you use the following worksheet data to create a scatter chart and a line chart, you can see that the data is distributed differently. In a scatter chart, the daily rainfall values from column A are displayed as x values on the horizontal x axis, and the particulate values from column B are displayed as values on the vertical y axis. Often referred to as an xy chart, a scatter chart never displays categories on the horizontal axis.

A scatter chart always has two value axes to show one set of numerical data along a horizontal value axis and another set of numerical values along a vertical value axis. The chart displays points at the intersection of an x and y numerical value, combining these values into single data points. These data points may be distributed evenly or unevenly across the horizontal axis, depending on the data.

The first data point to appear in the scatter chart represents both a y value of particulate and an x value of 1.

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These numbers represent the values in cell A9 and B9 on the worksheet. In a line chart, however, the same daily rainfall and particulate values are displayed as two separate data points, which are evenly distributed along the horizontal axis. This is because a line chart only has one value axis the vertical axis. The horizontal axis of a line chart only shows evenly spaced groupings categories of data.

Because categories were not provided in the data, they were automatically generated, for example, 1, 2, 3, and so on. A line chart distributes category data evenly along a horizontal category axisand distributes all numerical value data along a vertical value axis.

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The particulate y value of cell B9 and the daily rainfall x value of 1. Because the horizontal axis of a scatter chart is always a value axis, it can display numeric values or date values such as days or hours that are represented as numerical values.

To display the numeric values along the horizontal axis with greater flexibility, you can change the scaling options on this axis the same way that you can change the scaling options of a vertical axis. Because the horizontal axis of a line chart is a category axis, it can be only a text axis or a date axis. A text axis displays text only non-numerical data or numerical categories that are not values at evenly spaced intervals.

A date axis displays dates in chronological order at specific intervals or base units, such as the number of days, months, or years, even if the dates on the worksheet are not in order or in the same base units. The scaling options of a category axis are limited compared with the scaling options of a value axis.

The available scaling options also depend on the type of axis that you use. Scatter charts are commonly used for displaying and comparing numeric values, such as scientific, statistical, and engineering data.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. The dark mode beta is finally here.

Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. Why is there more than just numpy. Is there some subtlety to this in performance? This function only works on a single input array and finds the value of maximum element in that entire array returning a scalar. Alternatively, it takes an axis argument and will find the maximum value along an axis of the input array returning a new array.

The default behaviour of np. Here, 'compatible' means that one array can be broadcast to the other. For example:. But np.

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For example you can compute the cumulative maximum over an array or a particular axis of the array :. You can make np. Basic testing suggests the two approaches are comparable in performance; and they should be, as np.

You've already stated why np. As for np. For completeness, in Numpy there are four maximum related functions. They fall into two different categories:. NaNs propagator np. The element-wise functions are np. Learn more. Asked 4 years, 5 months ago. Active 1 year, 2 months ago. Viewed k times. Similarly for min vs.


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