A practical, hands-on guide, that provides you with all the tools you need to visualize and analyze your data using network graphs with Gephi This book is for data analysts who want to intuitively reveal patterns and trends, highlight outliers, and tell stories with their data using Gephi. It is great for anyone looking to explore interactions within network datasets, whether the data comes from social media or elsewhere. It is also a valuable resource for those seeking to learn more about Gephi without being overwhelmed by technical details.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Ken Cherven has been creating data visualizations for more than 10 years using a variety of tools, including Excel, Tableau, Cognos, D3, Gephi, Sigma.js, and Exhibit, along with geospatial tools such as Mapbox, Carto, and QGIS. He uses Tableau on a daily basis in his current position, where he has built dozens of performance dashboards to track both marketing and operational metrics. He has also built many visualizations for his personal websites, especially utilizing Gephi and Sigma.js to explore and visualize network data. He is very interested in tools related to the exploration of network data, typically using Gephi for most of his current output. Hes also interested in text analysis, where hes used tools such as Aylien, RapidMiner, R, and Exploratory to begin understanding and visualizing underlying patterns in political speeches, email transmissions, and book content. His experience in building data visualizations has intersected with many technologies, including a variety of SQL-based tools and languages including Oracle, MySQL, and SQLServer. He frequently edits and styles network information using HTML and CSS, along with a bit of JavaScript. He is also highly engaged in the world of data visualization, including but not limited to his daily work experience. His work is based on a thorough understanding of visualization principles learned through extensive reading and practice. He also uses his websites to display and promote visualizations, which he shares with a wider audience. He has previously authored two books on Gephi for Packt, and has also presented at multiple data visualization conferences
Kenneth Michael Cherven is a Data Analyst and Visualizer based in Detroit, Michigan, USA. He has worked with Tableau for more than 15 years with a focus on making complex data easily understood through the of interactive dashboards and creative displays. Beyond his work in the automotive sector, Kenneth analyzes data and creates visualizations using open data sources from the baseball, government, music, and craft beer domains. Ken has previously published two titles for Packt – Network Graph Analysis and Visualization with Gephi and Mastering Gephi Network Visualization.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Griffin Books, Stamford, CT, Etats-Unis
paperback. Etat : As New. Looks unread with ownership ink to title page. Slender trade paperback. Please email for photos. Larger books or sets may require additional shipping charges. Books sent via US Postal. N° de réf. du vendeur 127967
Quantité disponible : 1 disponible(s)