DOI: 10.57760/sciencedb.20850
title: Investigation of the Relationship Between Perceived Physical Literacy and Physical Activity Participations of Sport Educators
title: Investigation of the Relationship Between Perceived Physical Literacy and Physical Activity Participations of Sport Educators

description: Data Generation and ProcessingThe dataset appears to be survey-based, collecting information on demographic, anthropometric, and physical activity characteristics of individuals. The data includes categorical and numerical variables, likely derived from self-reports or structured interviews.Temporal and Geographical ScopeThe dataset includes a column for "city," indicating geographical diversity across different locations (e.g., Ankara, Istanbul, Antalya).There is no explicit time reference in the dataset, suggesting a cross-sectional rather than longitudinal structure.Structure and VariablesThe dataset consists of 676 entries (rows) and 36 columns (variables).Demographic Data: Includes profession, gender (1 = female, 2 = male), education level, and salary category.Anthropometric Data: Height (cm), weight (kg), and BMI.Knowledge and Confidence Measures: Several columns assess understanding, self-expression confidence, and communication skills.Physical Activity Data:Frequency and duration of vigorous, moderate, and walking activities per week.Corresponding MET (Metabolic Equivalent of Task) values to estimate energy expenditure.Total minutes and METs are calculated.Missing DataMost columns have 675 non-null values, indicating one missing entry in each column except "TOTAL," which has all 676 values present.The missing values may result from incomplete responses in the survey.Data Errors and AccuracySome column names contain typos or inconsistent formatting (e.g., "konowledge" instead of "knowledge," "frefuency" instead of "frequency").Data types are mostly floating-point numbers, even for categorical variables, which might require conversion for analysis.File DetailsFile Format: .xlsx (Microsoft Excel)Sheet Name: "Sayfa1"File Size: Approximately 190 KBSoftware Compatibility: Can be opened with Microsoft Excel, Google Sheets, or any software supporting .xlsx files.
description: Data Generation and ProcessingThe dataset appears to be survey-based, collecting information on demographic, anthropometric, and physical activity characteristics of individuals. The data includes categorical and numerical variables, likely derived from self-reports or structured interviews.Temporal and Geographical ScopeThe dataset includes a column for "city," indicating geographical diversity across different locations (e.g., Ankara, Istanbul, Antalya).There is no explicit time reference in the dataset, suggesting a cross-sectional rather than longitudinal structure.Structure and VariablesThe dataset consists of 676 entries (rows) and 36 columns (variables).Demographic Data: Includes profession, gender (1 = female, 2 = male), education level, and salary category.Anthropometric Data: Height (cm), weight (kg), and BMI.Knowledge and Confidence Measures: Several columns assess understanding, self-expression confidence, and communication skills.Physical Activity Data:Frequency and duration of vigorous, moderate, and walking activities per week.Corresponding MET (Metabolic Equivalent of Task) values to estimate energy expenditure.Total minutes and METs are calculated.Missing DataMost columns have 675 non-null values, indicating one missing entry in each column except "TOTAL," which has all 676 values present.The missing values may result from incomplete responses in the survey.Data Errors and AccuracySome column names contain typos or inconsistent formatting (e.g., "konowledge" instead of "knowledge," "frefuency" instead of "frequency").Data types are mostly floating-point numbers, even for categorical variables, which might require conversion for analysis.File DetailsFile Format: .xlsx (Microsoft Excel)Sheet Name: "Sayfa1"File Size: Approximately 190 KBSoftware Compatibility: Can be opened with Microsoft Excel, Google Sheets, or any software supporting .xlsx files.