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Celebrating Women in Data Visualization & Storytelling

Juice Analytics

We wanted to take some time at the end of the month to celebrate female pioneers and influential women in data visualization and storytelling! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. She worked as a graphics editor from 2005 through 2016 at the NYT.

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Take a Visualization MasterClass with 'We Feel Fine'

Juice Analytics

My first stop for data visualization inspiration is Jonathan Harris’ We Feel Fine. Released in 2005, it continues to stand out as a monumental achievement in the breadth of its ambition and in the tiny details that make it a delight to experience. Careful use of color Harris uses color to bring energy to his visualizations.

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Celebrating Women in Data Visualization

Juice Analytics

March is Women’s History Month and as a company that celebrates women, we wanted to highlight some of the most influential women in the history of data visualization! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. Hull House Chicago Maps by Florence Kelley go-wage-maps/.

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7 Ways to End Dead Digital Weight on Your Website with Analytics

Smart Data Collective

The first websites predated modern analytics technology. Google Analytics wasn’t launched until 2005. However, advances in analytics over the past decade have made it easier for companies to create quality websites. Keep reading to learn more about using analytics to optimize your website.

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Move to Online Dashboards – 6 Things to remember before you choose a tool!

Analytics Vidhya

Introduction “PowerPoint will die in the next 5 years” – just something I heard from a senior way back in 2005. appeared first on Analytics Vidhya. 15 years on, The post Move to Online Dashboards – 6 Things to remember before you choose a tool!

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. Choose Run.