Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: SQL Visualization in the Spreadsheet
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > SQL Visualization in the Spreadsheet
Big DataBusiness IntelligenceData ManagementData MiningInside CompaniesNew ProductsSoftwareSQLUnstructured Data

SQL Visualization in the Spreadsheet

raqsoft
raqsoft
5 Min Read
SHARE

SQL is a database query and programming language for retrieving, updating, and managing the data from relational database. SQL was certified to meet ANSI in 1986, and became an international standard in 1987. Nowadays, SQL becomes a basic requirement for every programmer. However, the advantages cannot obscure the disadvantage. SQL is especially designed for technical personnel. SQL syntax is highly abstract, the logic is hard to understand, and only those with strong technical background can grasp it.

SQL is a database query and programming language for retrieving, updating, and managing the data from relational database. SQL was certified to meet ANSI in 1986, and became an international standard in 1987. Nowadays, SQL becomes a basic requirement for every programmer. However, the advantages cannot obscure the disadvantage. SQL is especially designed for technical personnel. SQL syntax is highly abstract, the logic is hard to understand, and only those with strong technical background can grasp it. However, in the business office workspace, the non-technical users will usually need the query and process data by themselves. They hope there is a reporting tool with a technical requirement as low as almost zero, and a computing capability as strong as SQL tool.

sql visualization

For example, let’s say a secretary needs to prepare a list of big clients for a regularly scheduled meeting. The big clients are those who account for 50% of the total sales for the company the secretary is working with. Assigning or requesting an IT team to handle it will cost a great deal of time to coordinate. Therefore, he decides to calculate all by himself. He can use the business language to describe the calculation process:

  • Filter by time: Filter out the data of the half year in the order table.
  • Group and summarize: Group the data by client, and the total sales of orders in the group will be the sales of clients.
  • Set the standard for comparison by calculating: The total sales value is the sales sum of all clients. Multiply the total sales by 0.5, and the result is the standard of comparison.
  • Sort by sales value: Sot the clients by sales descendingly.
  • Calculate the cumulative value: Sum up the sales one by one from the highest to the lowest. Suppose if there is a client in the 3rd place, then the cumulative value of this client is the sum of the three sales values among the top 3.
  • Filter out the big client: The calculation goal is to find the clients whose cumulative value is less than the standard of comparison. Suppose if the standard of comparison is greater than the cumulative value of the 5th clients but less than that of the 6th, then the top 5 clients can all be regarded as the big clients.

Previously, those business users who were not familiar with SQL could not implement the above calculation. Nowadays, esCalc enables them to operate visually and calculate intuitively in their own business language and thinking pattern. For another example:

More Read

online advertising
AI Tools to Help You with Your Online Advertising Spend
“Lean is not a destination, it’s a journey.”
Are SMEs Equipped To Master Data Science?
What CEOs want from CIOs
Want to Disprove a CEO’s Wishful Thinking? Use Analytics.
  • Find the clients whose annual sales are among the top 10 in every year.
  • Collect statistics on the newly opened retail stores, including: How many retail stores newly opened this year? How many retail stores have profited over one million dollars? Of these retail stores, how many of them have opened their businesses overseas?
  • How much does the sales increase compared with that of the previous month?

The above calculation problems are quite common in the modern business office workspace. In fact, these problems are just the combination of SQL filtering, grouping, summarizing, distinct, horizontal joining / vertical union, and other calculation methods.

Raqsoft makes great contribution for SQL visualization. For example, esCalc is the SQL without any requirement on the technical background of users. esCalc embodies and visualizes the calculation methods innovatively, enabling the business users to be same competent and capable as the IT technicians in some business computing.

TAGGED:data visualizationesCalc
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Dave Wells’ prescription for the incurious

3 Min Read

A year on: The promise of SAP HANA for Big Data analytics (Part Two)

0 Min Read
advantages of data visualization
AnalyticsData Visualization

Data Visualization: A Scientific Treatment

33 Min Read

Factoids, Stories and Insights

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?