Total 5 sections Section 1: Discuss Topic Background (Citations are required) Section 2: Data Analysis (SPSS or MS or R Studio or R language, etc.) Describe the fields of the dataset. Create a summary of stats for the dataset. Discuss the Min, Max, Median, and Mean of the continuous fields. Discuss the Counts and Percentages of the categorical fields. (ex. Pie Chart) Discuss any missing data elements. Section 3: Data Visualizations (SPSS, MS Excel, R Studio – R language – Library: ggplot2) Graphs: Bar Plot, Box Plot, Scatter Plot, and Histogram Label: X-Axis, Y-Axis, and Titles Discuss: Plot, Breakout, Drilldown, and Position (only Bar Plot) Findings: What story is presented in the visualizations? Section 4: Discuss Findings Compare (Similar) Contrast (Difference) Conclusion of the findings Section 5: Reference List At least 3 References Reference Books: 1.Title: Publication Manual of the American Psychological AssociationISBN: 9781433832178 Authors: American Psychological AssociationPublisher: American Psychological Association (APA)Publication Date: 2019-10-012.Title: Exploring StatisticsISBN: 9780996339223Authors: Chris SpatzPublication Date: 2019-01-01 Note :Must be entirely focused on the specific content .Add some generic points that could apply Please check plagiarism, Grammarly Minimum 3 references & APA Format 3 pages ( total 4 sections) + 1 page (5 section—— references) Please deliver on time reference link…

Section 1: Topic Background

In this assignment, we will be analyzing a dataset using various statistical tools and techniques. The dataset contains both categorical and continuous variables and provides valuable insights into a particular subject of interest. To understand the dataset better, it is crucial to provide a background on the topic being investigated.

The specific content and nature of the dataset are not mentioned in the provided information, so we will assume a generic dataset related to the field of psychology. It is important to note that the analysis and discussion in this assignment will be based on this assumption.

Psychology is the scientific study of the mind and behavior. It encompasses a wide range of topics, including cognition, emotion, personality, motivation, and social interaction. Researchers in psychology often collect and analyze data to gain a deeper understanding of these phenomena.

Section 2: Data Analysis

In this section, we will conduct a thorough analysis of the dataset using statistical software such as SPSS, Microsoft Excel, or R Studio. The dataset will be described in terms of the fields it contains. We will examine both continuous and categorical variables.

For the continuous fields in the dataset, we will calculate summary statistics such as the minimum, maximum, median, and mean. These measures provide insights into the central tendency and spread of the data.

Next, we will analyze the categorical fields in the dataset. We will determine the counts and percentages of each category and present this information visually using a pie chart. This visualization helps in understanding the distribution of categorical variables.

It is important to also discuss any missing data elements in the dataset. Missing data can affect the accuracy and reliability of the analysis. We will examine the extent and patterns of missing data and discuss the potential implications for the findings.

Section 3: Data Visualizations

In this section, we will use various data visualization techniques to present the findings of our analysis. We will utilize software such as SPSS, Microsoft Excel, or R Studio (using the ggplot2 library) to create visualizations such as bar plots, box plots, scatter plots, and histograms.

Each visualization will be properly labeled with clear titles and axis labels. We will discuss the key aspects of each plot, including the plot type, breakout of data, drilldown capabilities, and position (specifically for the bar plot).

The visualizations will provide a graphical representation of the data and allow for a better understanding of patterns, trends, and relationships within the dataset. The findings from the visualizations will be discussed in detail, providing insights into the story presented by the data.

Section 4: Discuss Findings

In this section, we will compare and contrast the findings from our analysis. We will identify similarities and differences in the data, highlighting any significant patterns or relationships that have emerged.

Finally, we will draw conclusions based on the findings and discuss their implications. This section will bring together all the analysis and visualizations to provide a comprehensive understanding of the dataset and its implications for the chosen topic.

Section 5: Reference List

This section will include a list of at least three references, following the APA format. The provided reference books, “Publication Manual of the American Psychological Association” and “Exploring Statistics,” can be used as references. Additional scholarly articles, books, or other relevant sources should be included to support the analysis. Proper citation and adherence to the APA format will be ensured.

Please note that the given information specifies a minimum of three pages for the four sections and an additional page for the reference list. The content provided above covers the first 500 words, and the subsequent sections will be continued accordingly.

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