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The geom_point() function in ggplot2 is specifically designed for scatter plots in R. It plots individual points and allows for color differentiation based on a categorical variable, enhancing the visualization by showing relationships or distributions among categories. By assigning the color argument within aes(), each category can be uniquely colored, which makes it ideal for exploratory data analysis and comparing variables across groups. For example, visualizing height versus weight with different colors for male and female categories provides clear visual insight into any category-specific trends. Option A (geom_bar()) is incorrect as it’s used for bar charts, not scatter plots. Option B (geom_line()) is incorrect as it’s intended for line graphs, not individual point plotting. Option D (geom_histogram()) is incorrect because it’s used for histograms, not for scatter plots. Option E (facet_wrap()) is incorrect as it’s for creating small multiples rather than color-coding points.
Water required to meet the demands of evapotranspiration (ET) and the metabolic activities of the plants together known as
The origin place of Holstein-Friesian breed of cow is -
A series of still pictures on one roll is called:
The type of market, when there is only one buyer of the product present in the market, is called:
Which one of the following statements is incorrect for the management of ‘wilt disease’ in chickpea?
The highest number of cut roses are sold on which day?
The albedo values for the cropped field is approximately ____ percent.
Sugarcane is considered mature, if Brix value is:
Banana is vegetatively propagated through
In the latest India State of Forest Report (ISFR) for the year 2021, the Forest Survey of India (FSI) has determined that the total forest cover of the ...