{"repo":"hoangsonww/Pokemon-Attack-R-Analysis","free":true,"listed":false,"github":"https://github.com/hoangsonww/Pokemon-Attack-R-Analysis","clone":"git clone https://github.com/hoangsonww/Pokemon-Attack-R-Analysis.git","description":"🐈 A project for analyzing the distribution and variability of Pokémon Attack stats using R, with visualizations, summary statistics, and sampling-based normality checks. Includes a script to generate histograms, compute standard deviation ranges, and compare population vs. sample behavior.","language":"R","stars":12,"topics":["data-analysis","data-analysis-r","data-science","data-visualization","docker","dockerfile","ggplot2","latex","pokeapi","pokedex"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"Pokémon Attack Analysis An exploratory analysis of Pokémon “Attack” values using a dataset of 1,008 Pokémon. This project computes summary statistics, visualizes the distribution and sampling behavior of the Attack stat, and evaluates normality assumptions. Table of Contents 1. Project Overview 2. Features & Outputs 3. Prerequisites 4. Installation 5. Usage 6. Script Breakdown 7. Interpreting the Results 8. Extending & Customizing 9. Data Source & Citations 10. License --- Project Overview This analysis focuses on the “Attack” statistic from a Pokémon dataset ( pokemon.csv , 1,008 entries). We: - Load and inspect the full Pokémon table. - Visualize the distribution of Attack values. - Compute mean and standard deviation for the population. - Count how many Pokémon fall within 1, 2, and 3 standard deviations of the mean. - Assess normality via empirical proportions vs. the 68–95–99.7 rule. - Draw a random sample of 200 Attack values (with replacement), visualize and summarize it. - Compare sample vs. population to discuss sampling accuracy. All code is contained in Pokemon Attack Analysis.R , and the key visualizations are saved as attack-population.png and attack-sample.png . --- Features & Outputs - Population Histogram ( attack-population.png ): Attack distribution across all 1,008 Pokémon. - Population Summary : Mean ≈ 77.17, SD ≈ 29.76. - Empirical Rule Counts : - Within 1 SD: 669 Pokémon (≈ 66.3%). - Within 2 SD: 980 Pokémon (≈ 97.2%). - Within 3 SD: 1,007 Pokémon (≈ 99.","default_branch":null,"files":null,"tree":[],"storefront":"/r/hoangsonww","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hoangsonww/Pokemon-Attack-R-Analysis/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}