Dynamic Regression with ARIMA Errors: The Students on the Streets
The higher education students have had trouble being housing in Turkey in recent days. There have been people who even sleep on the streets like a homeless. The government has been accused of investing inadequate dormitories for sheltering the students. Let’s examine the ongoing sheltering problem of students. The dataset we have built for thisContinue reading “Dynamic Regression with ARIMA Errors: The Students on the Streets”
Forecasting with ARIMA from {fable}: The Election is Coming for Turkey?
Nowadays, every journalist and intellectual talks about a probable early election in Turkey’s ongoing poor economic conditions. But, is it politically right decision to go early election before the officially announced 23 June 2023 in terms of ruling parties? In order to answer this question, we have to choose some variables to monitor economic conditions,Continue reading “Forecasting with ARIMA from {fable}: The Election is Coming for Turkey?”
Wildfires Comparison with ggplot2 dual Y-axis and Forecasting with KNN
In recent days, Turkey has been escalated wildfires. The government and the people were on the alert and mobilized to put out the fires but, they couldn’t for days. A significant part of people thought that the simultaneous fires had no make sense, and there was probably some kind of terrorist actions beyond these fires.Continue reading “Wildfires Comparison with ggplot2 dual Y-axis and Forecasting with KNN”
Plotly for Data Visualization: The Vaccinations Effect on Covid-19
One of the most frequently asked questions these days is whether the vaccine works in reducing the number of cases and deaths. In order to examine that we will build a function so that we can run for every country we want without repeating the same code block. The dataset we’re going to use forContinue reading “Plotly for Data Visualization: The Vaccinations Effect on Covid-19”
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