| Topics for Practical |
1. Managing Data Frames with the dplyr package
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2. Managing Data Frames with the dplyr package
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3. Use group by(), %>%,mutate(), rename(),arrange(), filter(), select()
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4. Use the data set air quality from inbuilt data sets library
Use summary statistics and find the important key values from the output
Use boxplot and find the interquartile range. Interpret the boxplot and inner and outer fencing of outliers
Check the missing value in the data set and fine the suitable solution for the missing values.
Using histogram, find the distribution of data and give proper comment over the dataset. |
5. Use bar plot and identify the difference between bar plot and histograms. Conclude the appropriate use of bar plot and histogram.
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6. Explore the two dimensional data
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7. Scatter plot between two variables
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8. Five number summary in exploratory data analysis
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9. Multiple histogram and multiple boxplots, Multiple scatter plots and colouring the graph
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10. Lattice system in R environment and Graphical window in R and its uses
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