Analyzing Data Distribution and Cleaning Process for CA Scores

Apr 2, 2024, 9:25 AM

What is the distribution of CA scores?

To analyze the distribution of CA scores, we'll first need to clean the data by removing the introductory text and handling any non-score values. After cleaning, we can calculate statistical measures like mean, median, and create visualizations such as histograms to understand the distribution.
Let's proceed with cleaning the data.
It looks like the actual data starts further down. We'll need to adjust our approach to locate the start of the scores correctly and then proceed with analyzing the distribution of CA scores. Let's refine our method to identify the starting point of the data accurately.

Identify starting row for CA scores

It seems there was an issue identifying the starting row for CA scores using the previous method. We'll need to manually inspect the data or use a different approach to find the correct starting row. Let's try a different method to accurately locate the start of the CA scores.

Visualize this for me

The attempt to programmatically identify the starting row for CA scores encountered difficulties. To overcome this, a visual inspection method was proposed using a plot, but it faced execution issues due to mismatched data lengths. Adjustments were made to align the data, and a visualization was successfully created to assist in identifying where the actual CA scores might begin. This approach aims to visually pinpoint the start of the CA scores for further analysis.

Create histograms to visualize CA score distribution

Extract CA scores for histogram

  • Initially faced challenges in programmatically identifying the starting row for CA scores.
  • Employed a visualization strategy to assist in identifying the start of actual CA scores, but faced execution issues due to mismatched data lengths. Adjustments were made to align the data, and a visualization was successfully created.
  • Assumed CA scores were located in specific rows and columns based on visual inspection and combined them into a single column for simplicity.
  • Created a histogram to visualize the distribution of combined CA scores, revealing the spread and central tendency of the scores.

Calculate mean and median of CA scores

  • Mean of CA scores: 26.59
  • Median of CA scores: 27.0
These statistics provide insights into the central tendency of the CA scores, indicating that on average, students scored around 26 to 27 out of a possible score range. This suggests a relatively high performance level among the students.
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