The document summarizes an agenda for a Tableau user group meeting in Cincinnati. The summary is: 1. The meeting will include presentations on using Tableau at the University of Cincinnati and a collaboration project. Attendees are encouraged to socialize. 2. Future events will focus on topics like hands-on learning and work experiences with Tableau. Locations, times, and topics are open for input. 3. Attendees are invited to join the Cincinnati Tableau user group page to receive updates and connect with other members.
This document provides an overview of dashboards and how to build them. It discusses why dashboards are useful for aggregating and standardizing information in one location to share with colleagues. A five step process is outlined for building a dashboard: research needs, mockup design, create data queries, set up dashboard in Excel, and link data. Best practices are presented such as using specific sheets to organize data and focusing the dashboard on one page. Common pitfalls like poor communication and an IT-driven implementation are also reviewed. The document demonstrates a dashboard automation tool and provides additional training resources.
I presented at the Seattle DAA conference on Microsoft's conference. Presentation goes over principals and tips of data visualization and talks about inspiration on how to build awesome visuals!
This document provides an overview and introduction to Tableau. It outlines the basic steps for connecting to different data sources, building initial views, and creating dashboards. The document covers prerequisites, an introduction to the Tableau workspace, demo instructions for connecting to sample data files and modifying data connections, and includes lab exercises for readers to practice the concepts. The goal is to help readers understand the basics of visualizing and exploring data using Tableau.
Are you really curious about Power BI Dashboards, but you are scared that you won’t understand any of the words? This is the session for you! During our short time together, I will define some basic terms and best practices in Data Analysis, provide a quick demo of Power BI, and show what it takes to create a few simple reports and dashboards. What Will You Learn? • How to ask the right questions • How to quickly get and model data • How to design easy reports and dashboards
The document provides information about data and GIS services available at Duke University. It describes the Brandaleone Family Center for Data and GIS Services which contains workstations and software for data analysis, visualization, and GIS. It outlines support areas like finding data, storing data, managing data, analyzing data, visualizing data, and tips for working with data and creating visualizations. It also advertises an upcoming student data visualization contest.
The document discusses using dashboards to transform application data visualization. It provides examples of dashboards created for workflows and managers using tools like Twitter Bootstrap, jQuery, and Domino Server. The workflow dashboard displays multiple views on one screen for efficiency. The manager dashboard pulls from multiple sources to display charts and graphs that highlight problem areas. Best practices for dashboard design include avoiding clutter, providing visuals for quick insights, and highlighting important metrics.
This make-up class covers templates and formatting, image editing, slide presentations with graphical/multimedia elements, and charts/tables. Students will learn about themes, backgrounds, shapes, formatting, and slide masters in PowerPoint. They will also practice editing images, inserting multimedia, and creating charts and tables by copy/pasting from Excel. The class aims to provide skills for using design features and data visualization in PowerPoint presentations.
This document provides step-by-step instructions for building an Excel dashboard using InfoCaptor software. It describes how to connect an Excel data file to the software, build various visualizations like charts and pivot tables using the data, add filters, and link the filters to widgets. Finally, it explains how to publish the dashboard privately by sharing with specific users or publicly by making it accessible via URL without requiring login. The overall goal is to create an interactive dashboard with Excel as the data source that can be easily refreshed when the underlying data is updated.
近年QGISの利用者,開発者が増加するにつれ多くの機能やアイデアがQGISに集積してきています.Wired誌の昨年のOpen Source Rookie Of the Year awardにはQGISの災害対策用プラグインInaSAFEが選出されました.10月21日には無料版のGoogle Maps Engineの発表とともにQGISとの(ESRIもですが)統合がGoogleからアナウンスされGoogle Maps Engine Connector for QGIS Version 1.0がリリースされました.Webやクラウドでは処理できない多種多様な空間データ操作はQGISにまかせてクラウドと統合していこういう動きです.レガシーテクノロジーであるデスクトップGISがなぜかここにきて脚光をあびています.オープンデータの動きが加速化する中で空間データを扱う��めの高機能プラットフォームとしてQGISが注目を集めているのでしょう.FOSS4G2013開催中の9月20日にリリースされたQGIS2.0は高い性能と豊富な機能、拡張性をそなえFOSS4Gの新たな利用シーンを牽引していくソフトウェアとなっています.本発表ではQGIS2.0のリリースまでの過程とそれを取り巻く新たな利用環境について述べたいです.