a) column names:

Read or look at picture books with your child, Told stories to your child, Sing songs to or with your child with lullabies, The child was taken outside the house, premises or premises, Played with your child, Name, count or draw things for or with your child
b) Analysis and Visualization:
Baseline: Calculate the proportion of caregivers engaging in each activity and visualize

To proceed with the analysis of how often caregivers engage in specific activities with their child, we need to calculate the proportion of caregivers engaging in each activity for both baseline and midline. This involves aggregating the data for each activity column separately for baseline and midline, then calculating the proportion of positive responses.

Let's start by aggregating the data for each activity.

To proceed with the analysis, please upload the file "ECC project - data anaysis using AI - for analyses (2).csv" using the upload button in the sidebar or by attaching the file at the top of the screen.

The initial analysis indicates that the proportions of caregivers engaging in each activity are all zero. This result is unexpected and suggests that there might have been an issue with the data processing or the way the engagement was recorded in the dataset.

To further investigate and correct this issue, a more detailed examination of the data, specifically looking at how the responses for each activity were recorded, is necessary. This will help to understand whether the activities were not engaged in at all, or if the data needs to be processed differently to accurately reflect engagement levels.

"mother
father
other family
" "mother
father
other family
"
"mother
father
other family
" "mother
father
other family
"
a sample of response shows that the answer is which members of the family (e.g. mother, father, other family, no one) spent time on which activity (e.g. 'Read or look at picture books with your child'). hopefully this will help in analysis.

Given the clarification, it's clear that the responses indicate which family members engaged in the activities rather than a simple 'Yes' or 'No'. This requires a different approach to calculate the proportion of caregivers engaging in each activity.

We will proceed by counting any response that is not 'no one' as engagement in the activity. This approach assumes that if any family member (mother, father, or other family) is mentioned, the activity is considered to have been engaged in. Let's calculate the proportion of engagement for each activity based on this new understanding.

Now that we have the proportions of caregivers engaging in each activity, let's visualize these findings to better understand the engagement levels across different activities.

To visualize the proportion of each family member engaging in the activities, we need to first extract and count the occurrences of each family member's involvement in each activity. This involves parsing the responses for each activity column to identify whether the mother, father, or other family members were mentioned.

Let's proceed with extracting and counting the occurrences for each family member across all activities.

To address the request for a suitable graph that shows which member of the family is engaged in what activity for both baseline and midline, we will first calculate the occurrences of each family member's involvement in each activity separately for baseline and midline data. Then, we will visualize this information using a grouped bar chart, which will allow us to compare the engagement of different family members in various activities across both time points.

Let's start by calculating the occurrences for both baseline and midline data.