Traffic fatalities remain one of America’s most persistent public health challenges. While advances in vehicle safety technology and traffic engineering have reduced overall fatality rates, certain days of the year consistently demonstrate higher risks for deadly crashes. This case study examines temporal patterns in U.S. fatal accidents, seeking to identify the most dangerous days on American roadways and the factors that may contribute to these elevated risks. This case study is related in tidytuesday project that is a weekly social data project for data lovers.

This document serves as the definitive resource for understanding and implementing our brand identity across all communications and touchpoints. Our brand is more than just our visual identity—it is the embodiment of our values, mission, and the experience we deliver to our stakeholders. The name "SATOM" alongside our tagline "Lux ex Data" (Light from Data) represents our commitment to illuminating insights through data. Just as our Japanese-inspired color palette brings harmony and purpose to our visual identity, our brand principles guide how we communicate, collaborate, and create value.

The slides are introducing about automated document generator app. This web application streamlines the creation of technical reports for rectangular silencers with vertical cassettes. Users input key parameters including air flow specifications, silencer location (supply/exhaust, before/after fan), and dimensional details (width, height, length, cassette width, and gap).

This is the case study to make a html report by QUARTO using open data source, penguin data set.

This is the quick presentation of market analysis in the Italian pharmaceutical sector for CPHI Milan exhibition.

This case study is approached by the hierarchcal clustering method to find out groups visually. This process is important to make profit or take marketing actions, stock keeping activities efficiently and for saving efforting time.

This is the instant visualizations about product price data by the approach of exploratory data analysis and hirarchical clustering. 1. Import a data file of product and price in xlsx file. 2. Cleaning data for machine readable in r programming language. 3. Summary, segmentation, and visualizations about price, margin, and order quantity. After this, the following actions witll be taken for business analysis. Hypothesis testing, regression analysis, segmentation and targeting, price elasticity analysis, and forecasting with economic indicators, such as inflation rate. Satoshi

This is a sample of regular BI report to share the information within teams. The features of this report are as below: - Interactive visualization with html-base - Updating dates are clear on the report - Dowload function on the report is available about summary of information on xlsx file if server is connected with this interactive report - Coloring customization is available. - Regular updates are available if the report file is connected to server of Posit Connect (paid-service). Satoshi Refference: Posit PVC, "How to elevate your Quarto reports with styling and scheduled emails"

Slide decks about business introduction of SATOM. HTML based presentation with customised font, font colors, background colors. Tool: RStudio IDE.Date: 2023, Modified: 2024, Format:Revealjs

This is the case study of HR analysis to predict the probability of leaving employees by logistic regression model because of binary data as left or not. Aproaching methods: - Exploratory Data Analysis to understand the tendency of data on each variables. - Correlation analysis to understand what variables drive leaving workforce. - Logistic regression model to make a prediction of leaving probability as a key variable as "left". This technic can be applied for the predictions to any categorical questions. Satoshi

This is the case study of dashboard about the demographic analysis for Japan ageing society. If you are interested in the aged-society information in Japan, I kindly recommend you to access the following POSIT community site. https://posit.cloud/content/7842079 From above the link, you can get the information about cenetarians, non-chronic disease info, depression info, sleeping info, and other information. Satoshi

This is the analysis of credit score by making linear regression model and prediction for the future candidate of credit card. The Data is from the online course of Business Analytics by ESSEC Business School.

This is the case study of the online course for Linear Regression Model by Dukee university. By the data set of movies which are randomly selected from Rotten tomatoes and IMDB, the purpose of this case study is to make a linear regression model and to make a prediction for the estimated movie scores. In the last part, I evaluate the model how much it is accurate by test data frame. This model will help for HR analysis, Supplier analysis, and performance analysis in the business situation.

This is the dashboard to focus on the rate or return for the index market in the North American region. Approach: By Heatmap and line chart with historical animation, the pros and cons of maturity periods since 2003. The reference data is from YahooFinance. Tool: Rstudio IDE Language: R Satoshi

This is the time series analysis of bikeshare database to forcast the demand for next two years. Approach The proposed approach involves utilizing the ARIMA (Autoregressive Integrated Moving Average) model to effectively capture the patterns and trends in historical bikeshare demand data. The ARIMA model is a versatile time series forecasting tool that can handle non-stationary data and incorporate autoregressive (AR), moving average (MA), and differencing components to model the temporal dynamics of the data.

This is the dashboard of analysis of maturity and bps by Quarto in R languages. Visualization as heatmap, line chart with animation, and spread in bps in line chart as well. When you carsol on the chart, the exact values are hovered. Referred to the dashboard in Python. https://markets-dash.onrender.com/ Data source: FRED: https://fred.stlouisfed.org/

This is the case study of Google Analytics certificate. In this document, The analysis work is applied by the public data from June 2022 till May 2023 which is from Cyclistic Bike-Share. Cyclistic is a bike-share company in Chicago. The goal of this analysis is to suggest recommendations which are to maximize the number of annual memberships.The analysis process will be taken by each phase of “ask”, “prepare”, “process”, “analyze”, “share”, and “act” to answer the key business questions.

This data analytics report is the second case study of Google professional analytics course. The purpose of the analysis is to show a new growth opportunity for Bellabeat, a high-tech manufacturer of health-focused products for women. Based on the analysis of the existing data of smart health device, new insights are found at the section of “Act” through passing six basic steps, “Ask”, “Prepare”,“Process”, “Analyze”, “Share”, and “Act”.