data-viz-smm635 | digital era , we are bombarded by humongous streams
kandi X-RAY | data-viz-smm635 Summary
kandi X-RAY | data-viz-smm635 Summary
data-viz-smm635 is a Jupyter Notebook library. data-viz-smm635 has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
In the digital era, we are bombarded by humongous streams of information. Sometimes, these 'inputs' are not interesting enough to breach the defensive barriers that protect our attention ― hence, we simply decide to pass over. Other times, what we are exposed to seems valuable but we do not see any neat, meaningful pattern in it (that's the bottom line as it comes to crunch massive datasets!!). According to the popular idiom "one picture is worth a thousand words", all what messengers and audiences need to 'click' is ― often-times ― just a simple, effective visualization. This module is a journey into the art and science of creating memorable charts, which grab the attention of the audience and successfully convey insights and narratives. Pleasant journeys require good companions: 'infographic' ― i.e., the field that investigates the representation of information, data, and knowledge ― will offer the theoretical platform for the module; Python will make things happen (at least on our screen). Consistently with the teaching philosophy of the module leader, each individual lecture integrates 'theory' and 'practice'.
In the digital era, we are bombarded by humongous streams of information. Sometimes, these 'inputs' are not interesting enough to breach the defensive barriers that protect our attention ― hence, we simply decide to pass over. Other times, what we are exposed to seems valuable but we do not see any neat, meaningful pattern in it (that's the bottom line as it comes to crunch massive datasets!!). According to the popular idiom "one picture is worth a thousand words", all what messengers and audiences need to 'click' is ― often-times ― just a simple, effective visualization. This module is a journey into the art and science of creating memorable charts, which grab the attention of the audience and successfully convey insights and narratives. Pleasant journeys require good companions: 'infographic' ― i.e., the field that investigates the representation of information, data, and knowledge ― will offer the theoretical platform for the module; Python will make things happen (at least on our screen). Consistently with the teaching philosophy of the module leader, each individual lecture integrates 'theory' and 'practice'.
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Support
data-viz-smm635 has a low active ecosystem.
It has 32 star(s) with 41 fork(s). There are 26 watchers for this library.
It had no major release in the last 6 months.
data-viz-smm635 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of data-viz-smm635 is current.
Quality
data-viz-smm635 has no bugs reported.
Security
data-viz-smm635 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
data-viz-smm635 does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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data-viz-smm635 releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of data-viz-smm635
data-viz-smm635 Key Features
No Key Features are available at this moment for data-viz-smm635.
data-viz-smm635 Examples and Code Snippets
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Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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