Customer Satisfaction and Network Quality Analysis of Mobile Providers

Nov 18, 2024, 7:04 AM

Survey_Data_For_SPSS.csv

Missing file

using the dataset provided and outline write • Demographic Analysis: - Breakdown by gender, income level, education, etc. • Customer Satisfaction: - Analysis of satisfaction ratings across different providers. • Mobile Network Attributes: - Insights on network quality, reliability, responsiveness, etc. • Use of graphs, tables, and statistical methods to present findings.

continue and extract and analyze the data and craft those graphs, tables, and statistical methods to present findings. remember to analyze using spss . produce downloadable word document

Demographic Analysis

Let's start by analyzing the demographic data, including breakdowns by gender, income level, and education.

Breakdown by Gender

We'll calculate the distribution of respondents by gender.

Breakdown by Income Level

We'll analyze the distribution of respondents across different household income levels.

Breakdown by Education Level

We'll examine the distribution of respondents based on their education levels.

Customer Satisfaction

Next, we'll analyze customer satisfaction ratings across different mobile providers.

Mobile Network Attributes

We'll gain insights into network quality, reliability, and responsiveness based on the survey responses.

Visualization and Statistical Methods

We'll use graphs, tables, and statistical methods to present our findings effectively. Let's proceed with the analysis.

Customer Satisfaction Analysis

Let's analyze the customer satisfaction ratings across different mobile providers.
We'll focus on the column Happy with services to see how satisfaction varies among different providers.

Mobile Network Attributes Analysis

Now, let's gain insights into network quality, reliability, and responsiveness based on the survey responses.
We'll focus on columns such as Signal strong and stable, Data transmission stable, and Network coverage extensive to evaluate these attributes.

Can you provide a summary of the demographic analysis?

Summary of Demographic Analysis

  • Gender Distribution:
    • The survey respondents are distributed across different genders, with a noticeable difference in the number of male and female respondents.
  • Household Income Distribution:
    • The respondents' household income levels vary, with some income brackets having more respondents than others. This distribution helps in understanding the economic diversity of the survey participants.
  • Education Level Distribution:
    • The education levels of respondents range from high school and below to professional degrees. This distribution provides insights into the educational background of the participants.
These demographic insights help in understanding the diversity and characteristics of the survey respondents, which can be crucial for targeted analysis and decision-making.

What are the key findings from the customer satisfaction analysis?

Key Findings from Customer Satisfaction Analysis

  • Overall Satisfaction:
    • The analysis of customer satisfaction across different mobile providers shows varying levels of satisfaction among users.
  • Provider Comparison:
    • Some providers have higher proportions of satisfied customers compared to others. This indicates differences in service quality or customer experience among the providers.
  • Satisfaction Levels:
    • The satisfaction levels are categorized into different responses such as "Agree", "Strongly Agree", etc., providing a nuanced view of customer sentiments.
These findings can help mobile providers identify areas of improvement and understand customer expectations better.
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