How to draw beautiful illustrations in essays?
How to draw beautiful illustrations in essays? - Zhihu (zhihu.com)
A few days ago, a classmate invited me to answer a question on Zhihu. After reading Gao Zan, there was no Rlanguage! As a personal data analysis and visualization tool, it must have a place in the answer to this question.
As we all know, whether it is a CNStop journal or a sub-journal or an old-fashioned magazine in various fields, basically the pictures in the articles are obviously different from those in the general level articles. So, if you want to draw beautiful illustrations, you might as well start by imitating/reproducing the illustrations of the top magazines. Imitation is the first step in creation, and imitation is the first form of learning . Starting directly from drawing a good picture can not only improve everyone's aesthetic level, but also give students a considerable sense of satisfaction. Of course, due to different professional directions, the pictures I show here may not be useful to many students, so they are for reference only.
CNS illustration display
why R language
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CNS illustration display
Note: The illustration tutorials shown below have been released on my official account [ Canoe Notes ], and the required sample data and code can be
免费obtained付费. For details, please refer to: Learn to Draw with Nature | Quality Control Box Line Diagram and (Free Tutorial + Code Collection) | Collection of Learn to Draw with Cell
volcano map
boxplot
Histogram
heatmap
and many more...
why R language
The picture made is good-looking, there are many adjustable places, and the personalization is strong.
The difficulty is neither too high nor too low, the entry and use are quick, there are many online resources, and the learning curve is relatively flat.
There are many packages, and learning to adjust packages and parameters can meet the
90%above analysis requirements.
Sample data and code pickup
Canoe Notes 2022 VIP Project
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Sample data and code of all tweets in Canoe Notes in 2022 (including most of 2021).
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Follow CNS to learn drawing tutorial
Follow the Cell Science | 2. Histogram + Error Bar + Scatter + Significant Difference Test
Follow Cell Learning | 3. Box plot + scatter + significant difference test
Mapping with Cell Science | 5.UMAP Dimensionality Reduction Analysis
Mapping with Cellology | 6. Time series analysis (Mfuzz package)
Mapping with Cell Science | 7. Enrichment Analysis (Metascape Database)
Mapping with Cell Science | 8. Enrichment Analysis Network Map (Cytoscape/ClueGO)
Mapping with Cell Science | 9.PPI Analysis (GeNets Database)
Mapping with Cell Science | 11.Ingenuity Pathway Analysis(IPA)
Follow Cell to learn to map | 12. Venn diagram (Vennerable package)
Mapping with Nature | Paired Dumbbell Plot + Grouped Fitting Curve + Categorical Variable Heat Map
Follow Nat Commun to learn to draw | 1. Batch boxplot + scatter + difference analysis
Follow Nat Commun to learn to map | 3. Species abundance stacking histogram
Follow Nat Commun to learn to draw | 4. Paired boxplot + difference analysis
Mapping with Nature | Paired Dumbbell Plot + Grouped Fitting Curve + Categorical Variable Heat Map
Follow Nat Med. Learn to map | GSVA + limma differential pathway analysis + divergent bar chart
