About Me
My name is Suat Tuncer and I’m from Çanakkale. I am interested in kite-surf, free diving, and cryptocurrencies. I graduated from Yeditepe University, International Trade and Business in 2020. I am working as data analyst and I want to become a data scientist. I currently am working on automated and dynamic Power BI reports. I am enchancingh my self with this program, in R. Gathering data from AWS with workbench and analyzing data statistically with R.
I also am a member of R Ninjas Contact me : Linkedin
UseR! 2021 - One Stop Solution
Google normalizes the maximum value of your search query to 100 but when you compare your search query to another topic, your query may go lower volume and expand time scale, the query is may go quite lower. So, instead of looking at the search volume as Google Trends do, transform them to search score. There are object which you looking for and control keywords that should mirror standard usage of internet in a given location. You also can analyze internationalization of given topic, subject or person.
If you want to download, compute, visualize, storage as a SQLLite file and export from Google Trends, here is the "globaltrends" package: Click
Watch: Click
R Posts Related to My Interests
Twitter Sentiment Analysis and Visualization using R :
If you’re using RStudio, you can quickly connect and pull data that is publicly available. In the case of Twitter, one can pull lists of users, trending topics in different regions, as well as lists of followers. Click You can build a Sentiment Analysis in R and like this example; Click You may observe linear or nonlinear relationships with the related topics with the Twitter sentiment.
Futures Price Prediction Using the Order Book Data :
The purpose of this analysis, to be focused on the order book itself and what if anything one can imply forwards in time based on it. After the raw data manipulation and discretizing the data into 1 second; it seems that the model is significant but when looking at the fitted values, the model isn’t giving significant enough forecasts of price. Adding 2 more explanatory variables to the model for trying to get more explanatory power doesn’t make the model any better a predictor than it was before. Check for code and more: Click
Which Implied Volatility Ratio Is Best? :
The author is using R to decide which implied volatility ratio is best. He is comparing a volatility signal using three different variations of implied volatility indices to predict when to enter a short volatility position. After he makes the arrangement in code, he is visualising his code and getting reasonable output about it. The volatility signals descriptions are linked below. Post: Click Cboe Volatility Indexes: Click