Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you ...
Gathering and entering numbers on a computer is one of the most laborious aspects of data management. Ten-key data entry expedites this process, focusing only on the number keys, 0 through 9, which ...
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Why NumPy is the Foundation of Python Data Analysis
These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...
Quantitative business research focuses on quantifying behaviours, opinions, trends, and other variables by collecting and analysing measurable, numerical data. It answers questions related to “how ...
Sparklines in Microsoft Excel are charts—tiny little charts that display inline with the data because they fit into a cell, usually adjacent to the data they’re evaluating. With a quick glance, not ...
Whether you work for a small mom-and-pop operation or belong to a giant, multinational firm, spreadsheets are likely to be an invaluable tool for your business. All companies manage various sorts of ...
Clustering non-numeric -- or categorial -- data is surprisingly difficult, but it's explained here by resident data scientist Dr. James McCaffrey of Microsoft Research, who provides all the code you ...
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