data ingestion

psychological research -cronbachs_alpha

factors affecting number of bikers .Why Poisson and not linear regression

COMPREHENSIVE OVERVIEW OF GGPLOT2

After thorough interaction with data scientists, freelancers ,researchers and students, I have noticed their is a gap when it comes to correlation visualization; welcome to visualization of correlation matrix using ggplot2 and psych and much more

using mtcars dataset to explain lavaan further

I manipulate data to bring out valuable insights for decision making

plsem

mediation in plsem

mediation analysis with path diagram

Mediation analysis in R---psychometrics

LINEAR REGRESSION ALOGARITHM

fetching patterns and valuable insights from diabetic data and also predictive modeling

linear regression in machine learning

outlier detection using boxplot

showcasing logistic regression

binomial distribution statistics for data analysis

manipulating date using lubridate package in R-STUDIO

Data manipulation to bring out valuable insights and patterns for decision making

Pls-sem in rstudio .interaction included

T. test, Linear regression in APA format

left_t.test_with visualizations

is drugA better than drugB

Low sales in Arizona Company. Triggered a researcher to be hired to fetch valuable insights and patterns form sales data retrieved from company database

There is a low Total sales in Arizona supermarket. They hire a researcher to fetch out the valuable insights for decision making.

Does social economic status influence the choice of a student ,when selecting degrees

salary analysis usinf sql in rstudio

sales of commodity visualization

using machine learning to predict customer churning out of service

selecting the appropriate machine learning algorithm to predict my business data. selecting from binary regression, decision tree, random forest, svm and lda

dashboard using rstudio

sales per gender sales per branch sales per month sales per quantity

flight data analysis and visualization

manipulation of data using sql in rstudio

survival analysis

machine learning to do prediction

a brief data manipulation and visualization using r-studio.

predicting customers churning out of travel data collected

Prediction of admission of a student to college based on gre, sop and cgpa variables

ALL MACHINE LEARNING ALGORITHM--A-Z

DESCRIPTIVE STATISTICS IN R-STUDIO

websrapping

advicing insurance company on charges based on demographic factors in arizona

outliers are common ;valuable insights of a data are distorted if outliers are not well managed.This is an illustrated example on how to visualise outlers and how to rectify them in a data set comprising different groups

ggplot2 is a valuable package in r-studio when it comes to visualization to bring out the valuable insights either in business or other data applications

generating column with a given condition

how to manupulate data to bring out valuable insights

Tossing out relationship between categorical variables . mugo the data analyst

bringing business valuable insights at a glance

Using r studio to bring out valuable insights form data. data visualization

CLEANING DATA fetching valuable insights

webscrapping mining data from web and fetch valuable insights

MACHINE LEARNING DECISION TREE ALOGARITHM fetch valuable insights

MACHINE LEARNING VECTOR SUPPORT MACHINE

bmi analysis

Visualization of data using GGPLOT2

ML ending with a roc_curve