楼主: oliyiyi
668 0

Visualizing 1 Billion Points of Data: Doing It Right [推广有奖]

版主

泰斗

0%

还不是VIP/贵宾

-

TA的文库  其他...

计量文库

威望
7
论坛币
271951 个
通用积分
31269.3519
学术水平
1435 点
热心指数
1554 点
信用等级
1345 点
经验
383775 点
帖子
9598
精华
66
在线时间
5468 小时
注册时间
2007-5-21
最后登录
2024-4-18

初级学术勋章 初级热心勋章 初级信用勋章 中级信用勋章 中级学术勋章 中级热心勋章 高级热心勋章 高级学术勋章 高级信用勋章 特级热心勋章 特级学术勋章 特级信用勋章

+2 论坛币
k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群
赵安豆老师微信:zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

感谢您参与论坛问题回答

经管之家送您两个论坛币!

+2 论坛币
Visualizing 1 Billion Points of Data: Doing It Right

Visualization is the best way to explore and communicate insights about data. Whether you're dealing with geospatial, time series or tabular data, interactive graphics allow everyone on your team, from analysts to executives, to understand the patterns in your data.

But as data grows to include millions and billions of points, traditional visualization techniques break down. Whether you are loading the data into limited memory or separating the signal from the noise, when thousands of data points occupy each pixel and data gets big, visualization gets challenging.

We are here to help - Continuum Analytics' data scientists and engineers have developed a new Big Data visualization approach called datashading. Join us on August 18 for a webinar on Big Data visualization with the datashader library, led by Continuum Analytics CTO Peter Wang and Solution Architect Dr. Jim Bednar.

In this webinar, you'll learn how to:

  • Visualize Big Data the right way - and why so many people do it wrong
  • Interactively visualize 3 billion points of data in a Jupyter Notebook
  • Create live, interactive dashboards of Big Data sets in less than 300 lines of Python - no JavaScript required


二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

关键词:Visualizing Billion Points Visual RIGHT understand techniques everyone loading explore

缺少币币的网友请访问有奖回帖集合
https://bbs.pinggu.org/thread-3990750-1-1.html
您需要登录后才可以回帖 登录 | 我要注册

本版微信群
加好友,备注jltj
拉您入交流群

京ICP备16021002-2号 京B2-20170662号 京公网安备 11010802022788号 论坛法律顾问:王进律师 知识产权保护声明   免责及隐私声明

GMT+8, 2024-4-25 10:31