MDA511 Descriptive Analysis Assignment

Task 2 Descriptive Analysis [15 marks]

Once you have gathered the relevant data, of your it is essential to employ descriptive analysis techniques to effectively summarise and examine the dataset's characteristics. This involves calculating key measures of central tendency, such as means and medians, as well as measures of dispersion, including standard deviations. By doing so, you can gain a deeper understanding of the data and identify opportunities for further analysis. In addition to numerical summaries, it is beneficial to create graphical representations to visually depict the data. Histograms, box plots, and line graphs are examples of visual tools that can effectively highlight patterns, trends, and outliers within the dataset. These graphical representations provide valuable insights and facilitate a comprehensive understanding of the weather characteristics specific to the council.

For this second task, students will utilise descriptive analysis techniques to extract meaningful insights from the data collected in Task 1. These insights will play a vital role in informing subsequent statistical analysis and decision-making processes, allowing for a well-rounded understanding of the council's weather patterns and characteristics.

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