Current Day vs Previous Day in Table

Hi Everyone

Date	Sales	product
6/13/2016	21	A
6/12/2016	20	A

how to create a table like below by using date set above

Output

Product	Current_Day	previous_day	DoD
A	21	20	5%

Thanks in advance

Quick Links

Accepted answers

Gimli

Hello @iQuanti,

This can be accomplished through a SQL dataflow.
You will have two transforms.
Transform 1 will be to group your data down to a day view.

SELECT 

 `Date` 
,SUM(`Sales`) As 'Sales'  
,`Product`

FROM input_dataset

GROUP BY `Date`, `Product`

**Key notes

We can add more columns into the Select statement. We need to ensure they are added in the GROUP BY as well as the JOIN of the next transform
Your value column, (`sales` in this example) needs to have an aggregation. In this example I use SUM()
If your Date column is a Date/Time we will need to remove the time value. This can be accomplished by wrapping your column in DATE(). -- DATE(`Date`) -- This will also need to be done in the group by.

Transform 2 is were we join the data back onto itself.

SELECT 

 a.`Date`
,a.`Sales` AS 'Current_Day'
,b.`Sales` As 'Previous_Day'
,a.`Product`

FROM transform_data_1 a

LEFT JOIN transform_data_1 b
ON a.`Date` = DATE_ADD(b.`Date`, INTERVAL 1 DAY)
AND a.`Product` = b.`Product`

Your output of your dataflow would simply be:

SELECT * FROM transform_data_2

This also works for other date comparisons. If you wanted to compare today vs same day last week, we would only change the time key word:

ON a.`Date` = DATE_ADD(b.`Date`, INTERVAL 1 DAY)

To:

ON a.`Date` = DATE_ADD(b.`Date`, INTERVAL 1 WEEK)

Doing a total for a week compared to total for last week would require a change in our Grouping as well as in the JOIN conditions.

All comments

mdelorey

@iQuanti: Can you clarify what you're trying to do with the data? Right now it looks like the data has one row per day per product, and you're looking to get it to have one row per product that shows the current and previous day level as well as the percent change between current and previous day. Is that correct?

Gimli

Hello @iQuanti,

This can be accomplished through a SQL dataflow.
You will have two transforms.
Transform 1 will be to group your data down to a day view.

SELECT 

 `Date` 
,SUM(`Sales`) As 'Sales'  
,`Product`

FROM input_dataset

GROUP BY `Date`, `Product`

**Key notes

We can add more columns into the Select statement. We need to ensure they are added in the GROUP BY as well as the JOIN of the next transform
Your value column, (`sales` in this example) needs to have an aggregation. In this example I use SUM()
If your Date column is a Date/Time we will need to remove the time value. This can be accomplished by wrapping your column in DATE(). -- DATE(`Date`) -- This will also need to be done in the group by.

Transform 2 is were we join the data back onto itself.

SELECT 

 a.`Date`
,a.`Sales` AS 'Current_Day'
,b.`Sales` As 'Previous_Day'
,a.`Product`

FROM transform_data_1 a

LEFT JOIN transform_data_1 b
ON a.`Date` = DATE_ADD(b.`Date`, INTERVAL 1 DAY)
AND a.`Product` = b.`Product`

Your output of your dataflow would simply be:

SELECT * FROM transform_data_2

This also works for other date comparisons. If you wanted to compare today vs same day last week, we would only change the time key word:

ON a.`Date` = DATE_ADD(b.`Date`, INTERVAL 1 DAY)

To:

ON a.`Date` = DATE_ADD(b.`Date`, INTERVAL 1 WEEK)

Doing a total for a week compared to total for last week would require a change in our Grouping as well as in the JOIN conditions.

iQuanti

I really appreciate your help in resolving the issue ilikenno. Could you please solve the one more request from me, how to add last 30 days average in the same table by using SQL Dataflow.

Date	Current_Day	previous_day	last 30 days average
6/1/2015	20	22	25

Regards,

iQuanti

kshah008

@iQuanti, feel free to open up a new thread for your new question for better exposure ?

canioacaputo

I really like the way you did this, next is capturing the difference from day to day so all I did was say

(a.users - b.users) as 'Change' and I get my day to day change

jkimmey23

Hi,

When using this solution I am running into the issue with the "1" in the "interval 1 day" part of the formula and seeing the following error message - "The database reported a syntax error. ERROR: syntax error at or near "'Date'" Position: 83". Is there a special way to write out this part to avoid this error?

other categories

Product Ideas
Have a Domo product enhancement idea? Submit or upvote on ideas in the Ideas Exchange.
Ideas Exchange
Suggest & vote on new features you would like to see implemented in the Domo Product.
Data Connections
Ask questions about Connectors, Workbench, Cloud Amplifier and get best practices from Domo peers
Connectors
Connectors, Custom Connectors, Writeback
Workbench
Ask questions about Workbench, a secure, client-side solution for uploading your on-premise data to Domo.
Cloud Integrations
Ask questions about Cloud Integrations and Federated Data connection to your data warehouse or lake.
Data & ETL
Ask questions about Magic ETL, SQL DataFlows, DataFusion, Dataset Views and get best practices from Domo peers
Magic ETL
Ask Magic ETL questions and get answers from Domo peers
SQL DataFlows
Ask SQL DataFlow questions and get answers from Domo peers
Datasets
Ask DataFusion and Dataset Views questions and get answers from Domo peers
Visualize & Apps
Ask questions about Beast Mode, Cards, Charting, Dashboards, Stories, Variables and get best practices from Domo peers
Dashboards
Ask Cards, Dashboards, and Stories questions and get answers from Domo peers
App Studio
Ask questions about building apps in App Studio.
Pro-code Components
Ask questions about pro-code components and Domo Bricks and get answers from Domo peers.
Charting & Analyzer
Ask questions about charting and Analyzer and get answers from Domo peers.
Calculations & Variables (Beast Mode)
Ask questions about using calculated fields and Variables (Beast Modes) in Analyzer.
AI & Data science
Ask questions about DomoAI and get answers from Domo peers.
Domo AI & AI Chat
Ask questions about AI Chat and AI assistants.
Managing AI
Ask questions about managing AI with AI Playground, AI projects, AI models, and more.
Jupyter Workspaces
Ask questions about Jupyter Workspaces, Notebooks, and file share.
Automate
Ask questions about App Framework, Workflows, Domo Bricks, Domo Developer, API and get best practices from Domo peers
Workflows
Ask questions about Task Center, building automations with Domo Workflows, and executing JavaScript or Python code with Code Engine.
Alerts
Ask questions about managing alerts in Domo and get answers from Domo peers.
Distribute
Ask questions about Domo Everywhere, Scheduled Reports, Mobile and get best practices from Domo peers
Domo Everywhere
Ask questions about embedded analytics with Domo Everywhere.
Reporting
Ask questions about Scheduled Reports, Report Builder, and Slideshow Publications.
Manage
Ask questions about Governance Administration, Approvals, Teams, Alerts, and Buzz and get best practices from Domo peers
Governance & Security
Ask questions about People, Groups, Roles, Sandbox, Activity log, Buzz, Teams, Approvals and PDP and get best practices from Domo peers
Navigation & Productivity
Ask questions about navigation, Projects & Tasks, Goals, and Buzz chat.
APIs
Ask APIs and Developer.domo.com questions and get answers from Domo peers
Add-ins & Plugins
Ask questions about plugins, Microsoft add-ins, and other third-party software integrations.
Domo Community Gallery
Watch how our Customers are using Domo to solve their complex problems.
Product Releases
Domo support and product teams are here to live-answer questions about the most recent product releases. Please post questions in this Forum board for all users to benefit (rather than submitting a support ticket).
Domo University
Questions or discussions related to Domo University, trainings and certifications
Community Forums
Getting Started
Welcome to Domo's Community Forums! You'll find everything you need to get started in this category.
Community Announcements
Get the latest from Domo's Community Team.
Social Groups
Archive
Old or outdated content that could still be found helpful.