Model Critique Report for week 6 lab

Initial Draft

Primary objective of the report this data dive is to analyze traffic pattern over time. Helping us to understand how time series analysis works and also recognize patterns such as seasonality over time.

Diagnosing GLM models

Building a generalized linear model, or adjusting variables represented in a model.

Investigating Regression model results and improving the model

Anova and Regression modeling to gain insights into traffic data

We will analyze traffic volume patterns using hypothesis testing and visualizations for January across all the years (2012-2018)

Exploring the dataset to understand confidence intervals

Exploring data for missing values and understanding the importance of documentation

Data Dive 4: Sampling and drawing conclusions

Deep dive of data exploring probability and combinations concepts.

Data exploration and visualization to attain high-level insights in R studio