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Exploring Drug Abuse Responses and Effects: Insights from Survey Data

Which drug type is most abused?

To find out which drug type is most abused, we'll analyze the data from the provided dataset data set.xlsx. Let's start by loading and previewing the data to understand its structure.
It looks like there's been a misunderstanding in loading the dataset due to an incorrect file name or path. Let's correct this and directly load the relevant sheet that contains the response to types of drug abused.
It appears that the data loaded from Table 1 is empty. This could be due to an incorrect sheet name or the data not being located in Table 1. Given the initial file preview, it seems there might have been a misunderstanding regarding the available sheet names.
Since we cannot directly identify the correct sheet from the provided information, we'll need to load each sheet and inspect them to find the relevant data about drug abuse responses. Let's proceed with loading and inspecting each sheet.

Summary of Findings

  • Table 1 is empty and does not contain relevant data.
  • Table 2 provides data on drug abuse, listing various drugs and the responses from a survey on whether individuals have taken them. The drugs listed include Molly, Elle, Alcohol, Weed (igbo), and Cocaine, with percentages indicating the proportion of respondents.
  • Table 3 is empty and does not contain relevant data.
  • Table 4 explores the perceived effects of drug abuse, listing conditions like Restlessness, Madness, Tuberculosis, Hepatitis, and Poor academic performance, with responses categorized into Strongly Disagree (SD), Disagree (D), Agree (A), and Strongly Agree (SA).
To answer the question on which drug type is most abused: Based on Table 2, Weed (igbo) appears to be the most abused drug, with 91% of respondents indicating they have taken it.

Continue the analysis

To continue the analysis, we'll dive deeper into the data from Table 2 to extract more insights. Specifically, we can calculate the total number of respondents for each drug and the percentage of respondents who have taken each drug. This will provide a clearer picture of the drug abuse patterns among the surveyed population.

Continue the analysis

Given the insights already extracted from Table 2, further analysis could involve exploring correlations between drug abuse and the perceived effects listed in Table 4. This would help understand if there's a perceived direct impact of specific drugs on conditions like Restlessness, Madness, etc. However, this requires a more detailed dataset that links individual responses across both tables.
Without such detailed linkage, our analysis remains focused on the prevalence of drug use as indicated in Table 2 and the general perceived effects of drug abuse from Table 4.

Continue the analysis

We've reached the limit of what can be analyzed with the current dataset structure and the information provided. To delve deeper or explore new angles, we would need additional data or specific questions to address. If you have any more questions or need further analysis on a different aspect, feel free to ask!

Explore demographic factors influencing drug abuse

Investigate demographic data related to drug abuse

To investigate demographic factors influencing drug abuse or explore demographic data related to drug abuse, we would need a dataset that includes demographic details such as age, gender, income level, education level, and possibly geographic location of the respondents alongside their drug usage data.
Unfortunately, the current dataset does not provide this information. If you have access to additional data that includes these demographic details along with drug usage information, please provide it so we can proceed with the analysis.

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