Featured Post

Top Questions People Ask About Pandas, NumPy, Matplotlib & Scikit-learn — Answered!

-
Image
 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...
Post a Comment

New Directions for Digital Products (1 of 2)

-
We already crossed Agriculture, Industrial, Information age. Now we are in digitization age. Many companies investing huge money in digitization.
digital technologies
  • Mphasis - is betting on the digitization of Financial institutions
  • Tech Mahindra - started research on Heath care digitization
  • Infosys - focusing on Automation and artificial intelligence
  • TCS - focussing on Machine learning
  • WIPRO - is focusing on Big data and Hadoop

What is digitization

  • What we mean by digital. Digital data is distinguished from analog data in that the datum is represented in discrete, discontinuous values, rather than the continuous, wavelike values of analog. Thus, the digitization of data refers to the conversion of information into binary code, allowing for more efficient transmission and storage of data.
  • A key differentiator of our current age from prior human history is that, as of the last decade, we not only convert data to a digital format, but we also create data in a digital format. Thus, we now have the digital product, a concept defined by Scupola (2005) as "a product whose complete value chain can be implemented with the use of electronic networks. It can be produced and distributed electronically, and paid for electronically". 
  • Since its inception, the Internet has continued to change the game for IT and allows business to meet today's "qualitative and quantitative diversification of demand". 
  • Once hidden behind corporate walls and offering immense competitive advantages that could be leveraged into profitability, technology is now openly accessible on the Internet. 
  • Competitors--even small start-ups--can adopt it and level the playing field. As a result, technology itself no longer offers a competitive advantage and higher profit. Instead, the way it is applied to or combined with new information or technologies (i.e., the network effect) creates advantage and profitability. 

Internet

  • Not surprisingly, the same evolution has occurred with digital products, as they are the result of the application of technology. 
  • The Internet now makes the production and distribution of digital products available to a wide audience, whether regulated or not. "We have all become potential publishers". The material we publish may be our original work, a copy of someone else's work, or a combination of the two with virtually no formal quality control.

Insights to develop digital products:

  1. Digital products from a Resource Perspective 
  2. Value Creation in Production and Distribution 
  3. Integrating User-generated Content (UGC) 
  4. Quality Assessment and User Perceptions 
  5. Regulation and Monetization

Comments

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

SQL Query: 3 Methods for Calculating Cumulative SUM

-
Image
SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than...
Read more

5 SQL Queries That Popularly Used in Data Analysis

-
Image
 Here are five popular SQL queries frequently used in data analysis. 1. SELECT with Aggregations Summarize data by calculating aggregates like counts, sums, averages, etc. SELECT department, COUNT(*) as employee_count, AVG(salary) as average_salary FROM employees GROUP BY department; 2. JOIN Operations  Combine data from multiple tables based on a related column. SELECT e.employee_id, e.name, d.department_name FROM employees e JOIN departments d ON e.department_id = d.department_id; 3. WHERE Clause for Filtering Filter records based on specified conditions. SELECT * FROM sales WHERE sale_date BETWEEN '2024-01-01' AND '2024-12-31'   AND amount > 1000; 4. ORDER BY Clause for Sorting Sort results in ascending or descending order based on one or more columns. SELECT product_name, price FROM products ORDER BY price DESC; 5. GROUP BY with HAVING Clause Group records and apply conditions to the aggregated results. SELECT department, SUM(salary) as total_salaries FROM employ...
Read more

Big Data: Top Cloud Computing Interview Questions (1 of 4)

-
Image
The below are frequently asked interview questions on Cloud computing: 1) What is the difference between Cloud and Grid? Grid: -Information service -Security Service -Data management -Execution Manageement Cloud: - Maintains up-to-date information of resources -Create VMs according to user requirement -Application deploment -User management 2) What are the different cloud standards? -Interoperability standards -Security standards -Portability Standards -Governance and Risk standards 3) What are the two different sub-systems in Cloud computing ? -Management sub system -Resource sub system 4)What is Cloud compouting? The promise of cloud computing is ubiquitous access to a broad set of applications and services, which are delivered over the network to multiple customer. 5) Why we need specialized network for Cloud services? The public Internet is the simplest choice for delivering cloud-based services. In this model, the cloud provider simply purchases Inter...
Read more