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- Author: LIV Buli
- Publisher: Storybook Genius, LLC
- ISBN-10: 1949522415
- ISBN-13: 9781949522419
- Format: 21.6 x 21.6 x 0.6 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Barnaby Barchart and his Vizkidz friends are headed to the beach to hunt for hidden treasures. When it comes time to find who has collected the most, it's a good thing Barnaby has brought along his backpack that measures! Explore the basic concepts of data visualization with the VIZKIDZ! A pie chart best portrays parts of a whole in context, line graph-a trend over time, bar charts (often underestimated) allow for easy comparison and box plots give us a great sense of how data is distributed.
Barnaby Barchart's Beach Adventure is the second book in the Vizkidz series. Delving into these stories, kids will learn how to compare data sets in a bar chart, that pie charts best illustrate parts of a whole, that correlation does not equal causation, and other valuable lessons about the fundamentals of data analytics.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 21d.10:46:09
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: LIV Buli
- Publisher: Storybook Genius, LLC
- ISBN-10: 1949522415
- ISBN-13: 9781949522419
- Format: 21.6 x 21.6 x 0.6 cm, kieti viršeliai
- Language: English English
Barnaby Barchart and his Vizkidz friends are headed to the beach to hunt for hidden treasures. When it comes time to find who has collected the most, it's a good thing Barnaby has brought along his backpack that measures! Explore the basic concepts of data visualization with the VIZKIDZ! A pie chart best portrays parts of a whole in context, line graph-a trend over time, bar charts (often underestimated) allow for easy comparison and box plots give us a great sense of how data is distributed.
Barnaby Barchart's Beach Adventure is the second book in the Vizkidz series. Delving into these stories, kids will learn how to compare data sets in a bar chart, that pie charts best illustrate parts of a whole, that correlation does not equal causation, and other valuable lessons about the fundamentals of data analytics.
Reviews