PTO Tracker

-
I built this project using R. The project came from my friend need of tracking PTO so he can plan for vacation.


Project repo: https://github.com/Anhsnotes/PTOCalculation

Comments

Post a Comment

Popular posts from this blog

PostgreSQL Date table

-
Image
Using recursive in SQL, I can create a sequence that make up a date table. Basic recursive With   recursive  a  as   ( Select   1   as  Num union Select  Num +  1 From  a Where  Num +  1  <  11 ) Select  *  from  a Postgres SQL bucket date to 5 mins interval WITH   recursive  dimdatecreator( date )  AS   (          SELECT  (to_timestamp( '2020-01-01' , 'YYYY-MM-DD HH24:MI:SS' ))  AS   date   -- Start Date          UNION ALL           SELECT   date  + interval  '00:05'           FROM    dimdatecreator          WHERE    date  <= (to_timestamp( '2020-01-31' , 'YYYY-MM-DD HH24:MI:SS' ))  -- End Date  )  SELECT   date ,         date_part( 'hour' , date )+ 1         AS  hr,         (date_part( 'minute' , date )/ 5 )+ 1   AS  bucket  FROM    dimdatecreator;
Read more

R and Shiny App, a path from data engineering to web app deployment in one language

-
Image
In data analytics, nowadays, R and Python are the most popular languages among data professional beside SQL. I am struggling myself to identify which language to focus. I also saw a lot of questions about this topic and there is no clear answer. The general idea is to pick one and be good at it then traverse to the other if needed. In my opinion, R and Python are pretty compatible in analytic field. Recently, this changed when RStudio came up with Shiny App. This allows us to create data layer and UI layer (HTML, Javascript) with only R. After that, without standing up a web server to house your application, you can publish your app to shinyapp.io and ready for consumption. With this, my love for R grew bigger than Python ... at the moment :D I have developed the following simple Guessing Game , deployed and ready for consumption within 30 mins. To my fellow developer coming from business side, it is true that you can now develop and deploy a web app, dashboard by yourself with R. Plea
Read more

Data Join and Blend in Tableau

-
Image
Joining and Blending Data in Tableau There are 2 main ways to combine data: Joins Combine tables by adding more columns of data across similar row structures. This can cause data loss or duplication if tables are at different levels of detail Blends Unlike joins, never truly combine the data   Blends query each data source independently, the results are aggregated to the appropriate level, then the results are presented visually together in the view.   Because of this, blends can handle different levels of detail and working with published data sources. Blends are also established individually on every sheet and can never be published, because there is no true “blended data source”, simply blended results from multiple data sources in a visualization. Differences between joins and data blending Data blending simulates a traditional left join. (The Primary Data  left join  Secondary Data) The main difference between the two is when the aggregation is perfor
Read more