Hello Another great Sunday to showcase Tableau skills using qualitative and quantitative data to create visualizations and analyze data. I have created two visualizations using test data capture from Data.gov. Here are the results. Visualization 1 – Dual Axis Line: Note: for the above graph I have used ‘continuous’ instead of ‘discrete’ values. That way, […]
Hello again! I have enjoyed learning about Adobe Illustrator this Sunday.This assignment is a continuation of the previous assignment; however, ,I am exploring the capabilities of data visualization using Adobe Illustrator this time. I have taken the previous map and added more depth to the visualization. Here is the result.
Happy Sunday! In this week’s assignment, I am exploring spatial data visualization, using geographic maps to illustrate 2020 census data on Electric Vehicles (EVs) by state. The dataset I am working with was sourced from Kaggle and provides insights into two types of electric vehicles: Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs), […]
Data visualization Assignment. I am thrilled to be back because, this time, I am taking a new class for the spring term: Visual Analytics. I have always wanted to delve deeper into data visualization. As the class progresses, I will share my assignment on this blog. My first assignment is as follows… In your first […]
Since I am a remote worker, I would like to know how other remote workers worldwide handle work-life balance. While searching for dataset samples, I found data sets from Kaggle that combine several variables in several cities worldwide to measure work-life balance from 2021-2022. to add more context to the analysis, I have also added […]
I enjoyed this session a lot because it allows me to follow trends on current data. A time series is like a sequence of data points that are collected or measured at regular intervals over time. The Exponential Smoothing Model is a way to make predictions based on past values in a time series. It’s […]
The role of linear models in statistics is to help us understand and analyze relationships between variables. For this section assignment I have worked with data sets and dummy models to show the versatility of Linear Models. ##From our textbook: pp. 188 Question 10.1 and 10.3library(ISwR) ## Warning: package ‘ISwR’ was built under R version […]
Multivariate regression in R is a valuable concept to learn because it helps us understand and analyze relationships between multiple variables. This time I am tasked to analyze two different datasets “cystfibr” and “secher” that have multiple variables. # 9.1#Conduct ANOVA (analysis of variance) and Regression coefficients to the data from cystfibr (> data (” […]
Tables are suitable for various purposes in R and provide a convenient way to work with structured data. I use tables here to view and explore my data in the following exercises. Here is how I have started. Note: I have already installed the package “data.table” library(“data.table”) ## Warning: package ‘data.table’ was built under R […]
Hello, I have enjoyed the assignment regarding ANOVA. In simple terms, ANOVA (Analysis of Variance) is used in statistics to determine any significant differences between the means (average values) of three or more groups or categories. It helps us determine if these differences are due to actual differences in the groups or if they could […]
Everyday Stat, Analytics & Python 