Visualization CY 2024 in lab

Visualization of CY 2024 LAB values

Some issues were dealt with and finally resolved in RStudio but not within Knitr but some subtle changes within the versions of Seurat when normalizing the data and scaling it needed to be made. The clustering portion took too long to process. But working with it some more. Not done with this project, but have the top 10 genes and a database of the expression values and ranking among all single cell RNA sequencing cells. This is great as an addition to our model building towards predicting a pathology of EBV, EBV associated pathology such as mono or MS or Hodgkins or Burkett Lymphoma or nasopharyngeal carcinoma, Lyme disease, and Fibromyalgia. I want to get the other unsupervised algorithms to work as there is a neat little way to find the clusters in added columns might need a whole other computer for it, and then use those genes in supervised learning models with samples given. It would also be great to find a way to get Knitr to print out the results in RStudio. This pathology is related to EBV and the samples have EBV, there is an extension to this learning with single cell RNA sequencing that uses known genes as a conglomerate or group of genes for EBV that could also be pulled from this data and added to own or same database of top 10 genes to compare findings or just use to compare findings acrose our other gene data base as we have each of those.

Descripción de Resultados A partir del tablero realizado se puede observar el comportamiento de los extranjeros no residentes que visitan Colombia. En el Chart A se presenta un resumen general de la base de datos utilizada, la cual contiene 481.997 registros correspondientes a extranjeros no residentes en Colombia. La información incluye variables como año, mes, departamento, ciudad, país de residencia y cantidad de extranjeros. En el Chart B se muestran estadísticas descriptivas de la variable "Cantidad de Extranjeros no Residentes". Se observa que el promedio de extranjeros es aproximadamente 63 por registro, aunque existen valores máximos muy altos, lo que indica que algunos registros concentran una gran cantidad de visitantes. En el Chart C se presentan las 10 ciudades más visitadas por extranjeros no residentes. Se puede observar que Bogotá es la ciudad con mayor número de visitantes internacionales, seguida por Medellín y Cartagena. Otras ciudades importantes en la llegada de extranjeros son Cali, San Andrés y Barranquilla. En general, los resultados muestran que el turismo internacional en Colombia se concentra principalmente en las principales ciudades del país y en destinos turísticos reconocidos.