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Visualizing Data on Google Map Charts - This page explains how you can use Google Maps in an InetSoft dashboard. By using a Google Map in your chart, you can lend a degree of realism to your geographical data, and provide important geographical context such as mountains, rivers, highways, and landmarks. In order to incorporate a Google Map in a dashboard, you must have an appropriate Google Maps Platform account. Obtain the API key from your Google Maps Platform account, and enter it in the InetSoft Enterprise Manager on the Web Map tab. Enable Use Web Map By Default to automatically use Google Maps when creating any Map Chart. Press Apply to save the settings. If you do not already have a data source with geographical data configured, begin by importing a data set into a Data Worksheet. The sample data we use here is from World Population Review which contains the top 200 US cities by population and has the structure shown below. The data set contains a lot of information about the different cities, but for this example we will just use the "pop2023" field as the measure. Create a new Dashboard based on the Data Worksheet (or other data source) you have created. To create a Google Map Chart using geographical regions such as states or cities or zip codes, add a new Chart to the Dashboard. Do not make the Chart size too large, because Google Maps have a 640px size limit imposed by Google. If the Chart component is too large, you will see a warning when you try to plot data on the map, and you will need to resize it...
Ways You Can Visualize Data - Some other ways you can visualize the data instead of a simple X and Y is multi dimensional visualization. Here we’re looking at data where we not only have an X and Y, but we have colored, sized and shaped our data. Again we can do explicit filtering. I can choose to look a specific region, say the west coast, and you notice that whenever you make a selection with the selection element all of the other selections are filtered based on the same underlying data. The reason for that is because within the west region there are only two divisions. So we’re saying, based on your initial selection, these are the other valid selections that you can make. So only this state would be considered based on your initial selection. With charting another possibility is that you can find outliers. You can see that we have this hover tool. It shows you what the data looks like. With that you can always highlight data points instead of doing a show details or instead of brushing it. You can also zoom in to see how those cluster of points relate to each other because those outliers are causing such a wide scaling of the X axis. So here we can highlight a little bit more of the movement toward collaboration. As long as you do not disable this option, any business user can actually make ad hoc changes, on the fly changes, on demand changes to the data binding...
What Are Visualization Tools - Visualization tools are software applications that allow users to create charts, images, diagrams, or animations to effectively communicate a message. When referring to business visualization tools, we need to creating visual guides of how our business is doing, that is easy understood by any level of employee at your company. Visualization is a technique that allows for the representation of data set graphically. When business data is large and very abstract, visualization tools help make the data easier to read and understand. Today, there are visualization tool for search, music, online communities, and almost anything, but none seem to be as vital as those used to dissect crucial business data, which also represent the greatest challenge...
What Data Visualizations Does a Quality Control Supervisor Use? - Control Charts: Control charts are essential tools in quality control. They display process data over time and include control limits that represent acceptable variation. QC supervisors use control charts to monitor variations in a process and detect any special causes of variation that may lead to defects or deviations from the desired quality standards. Histograms: Histograms are graphical representations of the distribution of a set of data. QC supervisors use histograms to analyze the frequency and spread of measurement values in a sample, helping them understand the distribution of defects or quality characteristics. Scatter Plots: Scatter plots are used to visualize the relationship between two variables. In quality control, supervisors may use scatter plots to identify correlations between process parameters and product quality. They can use this information to optimize process settings and reduce variability. Pareto Charts: Pareto charts display the frequency of occurrences of various defects or issues in descending order. QC supervisors use Pareto charts to prioritize the most significant quality issues, enabling them to focus efforts on addressing the most critical problems first...
What Is The Difference Between a Visualization and a Dashboard? - Making sense of data in a way that is simple to understand is becoming more and more crucial as organizations continue to gather enormous volumes of data. Dashboards and visualizations may help with this. There are important distinctions between visualizations and dashboards, despite the fact that they both convey data visually. In this post, we'll examine the distinctions between dashboards and visualizations and explain why companies would want to use them. What Is a Visualization? A visualization is a graphic depiction of facts that makes it simple and fast to comprehend. Data is presented in an understandable fashion using visualizations, which might include charts, graphs, and diagrams. Data patterns, trends, and linkages that may not be readily obvious from a spreadsheet or database can be found using visualizations...
What Is the Role of a Marketing Operations Professional? - A Marketing Operations professional plays a critical role in optimizing and streamlining the internal processes, technologies, and strategies within a marketing department. Their primary goal is to enhance the efficiency, effectiveness, and overall performance of marketing campaigns and initiatives. Here are some key responsibilities and roles of a Marketing Operations professional: Technology Management: Marketing operations professionals are responsible for managing marketing technology tools and platforms. They evaluate, implement, and integrate various software solutions such as customer relationship management (CRM), marketing automation, analytics, content management, and more. They ensure that these tools work together seamlessly to support marketing efforts. Data Management: Effective marketing relies on accurate and clean data. Marketing operations professionals oversee data collection, validation, integration, and cleansing processes. They ensure that data is structured in a way that enables meaningful analysis and informed decision-making. Analytics and Reporting: These professionals play a role in measuring the performance of marketing campaigns and initiatives. They develop key performance indicators (KPIs), set up tracking mechanisms, analyze data, and create reports to provide insights into the effectiveness of marketing efforts. This information helps marketers make data-driven decisions...
What Is Visual Analysis? - Today we are here to talk about visual analysis and specifically working with data. What is visual analysis? The origin of visual analysis goes back to two of the success stories of computers in this world. One of them was databases. Back in the ‘60s, there were many different approaches to databases. In the ‘70s, relational algebra was developed, and relational databases emerged as a standard. This gave databases the property that they could support a high level query language. And in particular, they could support parallel and transactional queries, which allowed us to use them for everything. We use them for finance. We use them for medicine, retail, education, on and on like that. In the ‘90s, once we had all our data online, people started realizing they could do analytical reporting using data warehousing technologies. And then now, in this decade, there has been a focus on ad-hoc querying. Data is absolutely essential to our business. I would say that part of the financial problem we are having right now is because people took their eyes off the data. So this is the one huge success story of computer science...
Who in the Team's Organization Use Data Visualization Software? - Many different people within a professional baseball team may work with data visualization software to analyze and present data effectively. Here are some key roles: Data Analyst: Data analysts collect, clean, and analyze various data sets related to player performance, scouting reports, game statistics, and more. They utilize data visualization software to create visual representations of the data, uncover insights, and communicate findings to coaches, managers, and other stakeholders. Data Scientist: Data scientists apply statistical and machine learning techniques to explore and derive insights from baseball data. They work with complex data sets and leverage data visualization tools to present their findings in a clear and concise manner. Data scientists help identify patterns, build predictive models, and optimize strategies based on data-driven insights. Performance Analyst: Performance analysts focus on analyzing player performance metrics, both individually and collectively. They use data visualization software to create charts, graphs, and heat maps to identify performance trends, strengths, weaknesses, and improvement areas. Performance analysts collaborate with coaches and players to optimize training programs and game strategies...