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Topics: programming

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Data Analysis: Simulating the Newsvendor Problem in Python

By janert : 10 February 2011 - 02:10 PM
I’d like to introduce one more idea that is often relevant when dealing with business plans and calculations on how to find the optimal price or, alternatively, the optimal inventory level for some ...
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How to Calculate Net Present Value to Determine the Value of an Investment or Project

By janert : 08 February 2011 - 12:51 PM
Imagine we are running a manufacturing plant (or perhaps an operation like Amazon’s, where books and other goods are put into boxes and mailed to customers—that’s how I learned about all these t...
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How Data is Used for Analysis via Reports

By janert : 07 February 2011 - 02:04 AM
The primary means by which data is used for “analysis” purposes in an enterprise environment is via reports. Whether we like it or not, much of “business intelligence” revolves around reportin...
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Rob's Tricks and Tips for a Better Programming Life

By Rob Miles : 05 February 2011 - 01:07 PM
In honour of the publication of my new XNA 4.0 book: Microsoft® XNA® Game Studio 4.0: Learn Programming Now! - I present a few tricks and tips for a Better Programming Life Make a nice place ...
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- programming
- life
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Some Suggestions for Computationally Intensive Problems

By janert : 03 February 2011 - 05:14 PM
Computational and combinatorial programming is really different. It runs into different limits and requires different techniques. Most important is the appropriate choice of algorithm at the outset, s...
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Data Analysis: Understanding the Bootstrap

By janert : 02 February 2011 - 04:57 AM
The bootstrap is an alternative approach for finding confidence intervals and similar quantities directly from the data. Instead of making assumptions about the distribution of values and then employi...
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Data Analysis: Simulating the Monty Hall Problem in Python

By janert : 31 January 2011 - 02:20 PM
A way that simulations can be helpful concerns situations that appear unfamiliar or even paradoxical. Simulations allow us to see how the system behaves and thereby to develop intuition for it. Supp...
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Data Analysis: Understanding Simpson's Paradox

By janert : 31 January 2011 - 12:20 AM
Look at the table below which shows applications and admissions to a fictional college in terms of the applicants' gender and department. MaleFemaleOverallDepartment A80/100 = 0.89/10 = 0.989/110...
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When and How to Use Conditional Plots (Co-Plots) for Data Analysis

By janert : 28 January 2011 - 02:25 PM
In contrast to scatter-plot matrices, which always show all data points but project them onto different surfaces of the parameter space, co-plots (short for “conditional plots”) show various slice...
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Data Analysis: How to Track Aggregated Numbers in a Time Series

By janert : 27 January 2011 - 02:18 PM
On a recent consulting assignment, I was discussing monthly sales numbers with the client when he made the following comment: “Oh, yes, sales for February are always somewhat lower—that’s an aft...
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Topics: programming

Data Analysis: Simulating the Newsvendor Problem in Python

How to Calculate Net Present Value to Determine the Value of an Investment or Project

How Data is Used for Analysis via Reports

Rob's Tricks and Tips for a Better Programming Life

Some Suggestions for Computationally Intensive Problems

Data Analysis: Understanding the Bootstrap

Data Analysis: Simulating the Monty Hall Problem in Python

Data Analysis: Understanding Simpson's Paradox

When and How to Use Conditional Plots (Co-Plots) for Data Analysis

Data Analysis: How to Track Aggregated Numbers in a Time Series