Summary Data Analysis and Visualization in R (IN2339)
Data Analysis and Visualization in R (IN2339) R basics II. Data Wrangling III. Tidy Data IV. Low dim visualization V. High dim visualization VI. Graphically supported hypotheses VII. Stats 1 - Resampling VIII. Stats 2 - Analytical IX. Q-Q plots (Quantile-Quantile Plots) X. Stats 3 - Big data XI. Linear regression XII. Logistic Regression XIII. Supervised Learning
Written for
- Institution
- Data Analysis and Visualization
- Course
- Data Analysis and Visualization
Document information
- Uploaded on
- March 31, 2026
- Number of pages
- 111
- Written in
- 2025/2026
- Type
- SUMMARY
Subjects
-
data analysis and visualization in r in2339