Found 680 Articles for Data Visualization
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Projection is a computer graphics system in which an image is shown in various dimensions. This helps to view 3D images into their 2D counterparts. Projection can be of two types which include Orthographic and Isometric Projection. In this article, we will discuss the difference between Orthographic and Isometric Projections. What is Orthographic Projection? Orthographic projection is a type of projection in which the projection and view plane are perpendicular to each other. Orthographic projection is a method in which 3D objects are converted into 2D objects and displayed on the screen. Projectors are arranged parallel to each other and ... Read More
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This article is meant for explaining the two most widely used visual representations of electrical systems also called electrical diagrams. These diagrams are single-line diagram and multiline diagram. These two diagrams are used in electrical engineering to represent various electrical layouts and connection arrangements of electrical systems. In electrical engineering, the visual/graphical representation of electrical systems like distribution systems, control panels, transmission line, generating stations, etc. is very important to understand the connections of various system components, designing and analyzing electrical systems, and more. In the field of electrical engineering, the following two main types of visual representations are ... Read More
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Introduction Visualization is an effective technique where the users can showcase their data in the presentation form. Numerous built-in visuals are available in Power BI tools like Simple clustered charts, Line charts, Heat maps, Funnels, Gauge charts, Pie charts, and so on. Through these visuals, the segregation of data based on accuracy enables quicker identification of useful information while eliminating time-consuming manual corrections. We will examine the clustered chart in this article to observe how the gender distribution in the employee dataset is displayed. Creation of a simple clustered chart to show gender distribution in the dataset Step 1 ... Read More
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Introduction Users can identify the critical areas of businesses after monitoring numerous KPIs and visualize them through radial gauge charts. It comprises of semi-circular arc representing a solitary value that slowly reaches a destination value. Users may set the smallest value, destination value, and largest value, add a specific field on the gauge chart, and develop a vibrant Gauge chart by employing conditional formatting. The present field value lies between the smallest and largest values on the Gauge chart. To develop a radial Gauge chart in Power BI Step 1 Consider the sample datasets named Sheet1(2) consisting of six columns ... Read More
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Power BI is a good tool with three major views Report View, Data View, and Model View which we will discuss in this article. Power BI can be useful for an individual who wants to derive some useful insights from the data and permits users to visualize. In short, it can be defined as a tool used to connect different data sources, by transforming and modeling data, creating an interactive visual report, and sharing these reports with others. Power BI is developed to help organizations and individuals make data-driven decisions by turning raw data into actionable insights. The first window ... Read More
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Introduction In today's era, youngsters and older adults are suffering from hypertension and diabetes due to excessive work pressure. Manually calculating the average BMI in an enormous dataset is time-consuming for data analysts. To overcome this problem, the DAX measure is an excellent way to evaluate the average BMI of hypertension patients and count the number of diabetes patients. The complex problem would also be resolved swiftly, and accurate results would be generated through the DAX function. We can follow these steps to create new measures in the Power BI desktop − Creation of a table in Microsoft ... Read More
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Introduction Power BI is an awesome tool for creating interactive reports and modeling data. Various built-in visuals are exclusive in the Visualization pane where measures, aggregation functions, and so on can be applied to construct the specific model. A card visual is one of the crucial visuals where a computed solitary value like average salary, maximum salary, or total production in a specific year is to be highlighted on a card. In this article, we will explore how to compute the average monthly income for employees and illustrate it in card visualization. Computation of Average Monthly Salary Step 1 You ... Read More
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Introduction Users may populate the selected employee data through the slicer on the dashboard. Two options Filter and Slicer assist users in filtering data. Slicers are more flexible and dynamic, provide quick accessibility of data, are easily embedded into the Report editor, and are also compatible with other charts. The disadvantage of slicers is that a Visual filter is not permitted in slicer visual, and choices like drill down, and input fields can’t be endorsed. In this article, we will learn the fundamental concepts of creating a slicer to shortlist the employees’ names based on age categories. To create a ... Read More
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Introduction In this article, we will gain deep insights into Inner Join and Left Outer Join in Power BI. A wide variety of joins, like full join, inner join, and left anti-join are available in Power BI to join tables. The inner join merges two tables and extracts only those records that contain the matching values in the common column of both tables. The left-outer join also matches the common values from the two tables but retrieves all the first table records along with the corresponding records of the matched values from the second table. Implementation of Inner Join in ... Read More
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Sparse matrices are a specialized type of matrix that contain mostly zero values. These matrices are commonly encountered in applications such as graph theory, machine learning, and network analysis. Visualizing sparse matrices can provide valuable insights into the distribution and patterns of non-zero values. In this article, we will understand how to visualize sparse matrices in Python using the popular data visualization library, Matplotlib. Understanding Sparse Matrices A sparse matrix is a matrix in which most of the elements are zero. These matrices are typically large and inefficient to store in memory if all the zeros are explicitly represented. ... Read More
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