Data Science Tech Brief By HackerNoon HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/understanding-scaling-law-through-data-science-lenses.
Despite the immense promise of LMs, initial endeavors to apply pre-trained LMs to downstream tasks have encountered significant challenges.
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This story was written by: @tianchengxu. Learn more about this writer by checking @tianchengxu's about page,
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Despite the immense promise of LMs as task-neutral foundation models, initial endeavors to apply pre-trained LMs to downstream tasks encountered significant challenges.

This story was originally published on HackerNoon at: https://hackernoon.com/why-postgresql-is-the-bedrock-for-the-future-of-data.
Explore the rise of PostgreSQL as the de facto database standard, its impact on software development, and the key trends driving its widespread adoption.
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This story was written by: @timescale. Learn more about this writer by checking @timescale's about page,
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PostgreSQL's ascendancy as the go-to database standard is rooted in its adaptability, reliability, and extensive ecosystem. This article delves into the reasons behind its dominance, from tackling database complexity to empowering developers to build the future with confidence. Discover how PostgreSQL is revolutionizing software development and data management practices.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-implement-multi-group-bar-chart-and-interact-with-highlighting-by-grouping-dimension.
Solution for implementing a multi-group bar chart similar to the following figure:
Expect two groups to differentiate in style through color transparency.
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This story was written by: @hacker5022841. Learn more about this writer by checking @hacker5022841's about page,
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Solution for implementing a multi-group bar chart similar to the following figure:

Expect two groups to differentiate in style through color transparency.

When the mouse hovers over a column block, all blocks of the same color are highlighted in linkage.

This story was originally published on HackerNoon at: https://hackernoon.com/unlocking-the-invaluable-role-of-big-data-in-modern-supply-chain-management.
Let’s take a deeper look at the scale of impact the big data revolution can have for global supply chains and vendor management.
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This story was written by: @dmytrospilka. Learn more about this writer by checking @dmytrospilka's about page,
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Let’s take a deeper look at the scale of impact the big data revolution can have for global supply chains and vendor management.

This story was originally published on HackerNoon at: https://hackernoon.com/advantages-and-disadvantages-of-big-data.
Big data may seem like any other buzzword in business, but it’s important to understand how big data benefits a company and how it’s limited.
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This story was written by: @devinpartida. Learn more about this writer by checking @devinpartida's about page,
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Big data may seem like any other buzzword in business. Still, it’s important to understand how big data benefits a company and how it’s limited. If a company uses big data to its advantage, it can be a major boon for them and help them outperform its competitors. Advantages include improved decision making, reduced costs, increased productivity and enhanced customer service. Disadvantages include cybersecurity risks, talent gaps and compliance complications.

This story was originally published on HackerNoon at: https://hackernoon.com/top-16-types-of-chart-in-data-visualization-hrh32wv.
In the era of information explosion, more and more data piles up. However, these dense data are unfocused and less readable. So we need data visualization to help data to be easily understood and accepted. By contrast, visualization is more intuitive and meaningful, and it is very important to use appropriate charts to visualize data.
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The Top 16 Types of Charts in Data Visualization That You'll Use: Column Chart, Bar Chart, Scatter Plot, Bubble Chart, Radar Chart and Bubble Chart. All the charts in the article are taken from the data visualization tool FineReport. The chart is used to show the change of data over a continuous time interval or time span. It is characterized by a tendency to reflect things as they change over time or ordered categories. It should be noted that the number of data records of the line graph should be greater than 2.