The beauty of data visualization
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The document discusses the benefits of data visualization. It states that data is chaotic but visualizations make sense of it and act like maps to navigate data. Data is like fertile soil and visualizations are like flowers blooming through it. Visualizations amalgamate visual and mental languages to simultaneously enhance understanding. They allow viewing data relatively to provide new perspectives. Visualizations compress large amounts of data into small, easy to understand visuals that convey multiple meanings. They can visualize not just data but also ideas and concepts, providing a way to understand conflicting viewpoints better. Managers need data visualization because organizations have many information problems that information design can help solve. Being more aware of information design makes one better able to navigate data landscapes.
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Slide 1: Beauty of Data Visualization Intro
Slide 2: The Billion Dollar O-gram
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Slide 4: Explanation of landscape.
Slide 5: Break-up times, as per Facebook status updates.
Slide 6: Attack probability data of countries
Slide 7: "Let dataset, change your mindset." -Hans Rosling
Slide 8: Language of the eye (Pattern) and language of the brain (learn) creates beautiful visualizations.
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Slide 2: The Billion Dollar O-gram
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apache flink
The Building Blocks of QuestDB, a Time Series Database
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Analysis insight about a Flyball dog competition team's performance
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
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Open Source Contributions to Postgres: The Basics POSETTE 2024
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
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The beauty of data visualization
- 2. DATA IS CHAOTIC! VISUALS MAKE SENSE FROM IT…
- 3. Information Design, like a map, provides us a way to navigate data.
- 4. Data is like the new soil… Like Soil, it is a fertile creative medium. A rich source of information, it appears to be clumpy and unassuming. Visualizations are like flowers blooming through it.
- 6. DataVisualization is an amalgam of two languages : • The language of the eyes • The language of the mind This amalgamation lets us speak both the languages simultaneously. Enhancing both of them at the same time.
- 7. Most times, we look at the information around us, in an absolute sense. We need to look at data relatively to the meaning around it. Successfully doing this, might change our perception about the world around us.
- 9. Data in its raw form is large, cumbersome and difficult to understand Once turned into a visual, it can convey all of its different meanings, using a small space
- 10. The beauty about visualizations is, that not just data but even IDEAS & CONCEPTS can can be visualized. Which, once again gives us the power to focus on conflicting viewpoints and come up with better understanding of the situation
- 12. WE HAVE NUMEROUS INFORMATION PROBLEMS INFORMATION DESIGN CAN HELP US SOLVE THESE PROBLEMS
- 13. We are surrounded by information design, but are unconscious to its existence. By being more aware of the design around us, we can become better navigators in the landscape of data
- 14. References • https://www.flickr.com/photos/8203774@N06/2286115848/ • https://www.flickr.com/photos/70852213@N05/6430208945/ • https://www.flickr.com/photos/53111802@N05/5128546966/ • https://thumbs.dreamstime.com/z/digital-data-chaos-chaotic-abstraction-numbers-letters-43608310.jpg • https://www.flickr.com/photos/148005384@N04/30170323415/ • https://www.flickr.com/photos/rckr88/38476832341/ • https://www.flickr.com/photos/148263358@N02/34902342831/ • https://www.flickr.com/photos/lesjofors-springs-pressings/7995293557/ • https://www.flickr.com/photos/61929320@N04/14064240727/ • https://www.flickr.com/photos/zjeery/2046714226/ • https://www.flickr.com/photos/75862793@N06/6816055887/ • https://www.flickr.com/photos/132360565@N08/26141679146/ • https://www.flickr.com/photos/thibaultporiel/35735980405/
- 15. Thank You By Muyeena Akbari Khanzada