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ByHariharan Rajendran

Connect Live option disabled

This post solves the very simple problem in Power BI.

If you are trying to access the Power BI datasets to create reports then you may encounter this below error message.

Error: “The connect live option for this file is disabled because it already contains data from another data source.”

“Power BI datasets” is one of the options from “Get Data”.  Whenever you publish a report from Power BI desktop to Power BI services, it is publishing the dataset and report.

You can create multiple reports using the same published datasets from Power BI services. This is something like a shared dataset. In case, if you are experiencing the above error then you need to ask your administrators to fix the issues.

The administrator has to fix this issue on the admin side of the Power BI services. Follow the below steps.

  1. Go Power BI cloud services
  2. Go to the Admin portal
  3. Click Tenant settings on the left side and check the export and sharing settings
  4. Enable the export data feature.

That’s it. The issue has been fixed.

ByHariharan Rajendran

How to handle date in R

Date data type is very important for all programming languages. To handle the date in a proper way, we need to apply some formatting logic.

This is the case for R programming language as well. This post explains you, how we can handle the Date data in R. There are different functions available in R to handle date.

To get the today’s date, use Sys.Date()

Sys.Date()

> Sys.Date()

[1] “2018-05-22”

 

To get date and time, use date()

> date()[1] “Tue May 22 15:29:18 2018”

 

Check the below list of symbols to play with date and time format.

Symbol Meaning Example
%d day as a number (0-31) 01-31
%a
%A
abbreviated weekday
unabbreviated weekday
Mon
Monday
%m month (00-12) 00-12
%b
%B
abbreviated month
unabbreviated month
Jan
January
%y
%Y
2-digit year
4-digit year
07
2007

 

> today <- Sys.Date()> format(today, format=”%B %d %Y”)[1] “May 22 2018”

 

Date Conversion

In a real-time scenario, we will not get date as date data type. Always, we need to convert to proper date data type. To convert to date data type, we need to use as.Date() function.

Syntax

as.Date(x, “format”)

x – Field or column

format – use the above symbols to frame the proper format.

 

DateVec<- c(“01/05/2018”, “08/16/2018”)

DateVec

[1] “01/05/2018” “08/16/2018”

summary(DateVec)

Length     Class        Mode

2            character   character

dates <- as.Date(DateVec, “%m/%d/%Y”)

dates

[1] “2018-01-05” “2018-08-16”

summary(dates)

Min.      1st Qu.       Median         Mean      3rd Qu.         Max.

“2018-01-05” “2018-03-01” “2018-04-26” “2018-04-26” “2018-06-21” “2018-08-16”

ByDr. SubraMANI Paramasivam

Run Your Python Script

Use the below console to run your python scripts

# Assign value to the variable # a = 5 #Print
Print
ByHariharan Rajendran

Live Query Statistics

SQL Server 2016 introduces a new feature called “Live Query Statistics”.  This is the feature available in SQL Server Management studio and visible to everyone.

This live query plan displays below information when executing the query

  1. Overall query progress
  2. Number of rows produced
  3. Elapsed time on each operation

Data is available on run time so not required to wait for the query complete. This helps us to debug the query performance issues.

Steps to use this feature

  1. Check this feature in SSMS
  2. Include (select the icon) the “Live Query Statistics” before executing the script
  3. Execute the Script
  4. Check the Live Query Statistics window.

LiveQuery1

LiveQuery2

LiveQuery3

 

LiveQuery4

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