Use Excel conditional formatting to help you visually view and analyze data, identify critical issues, and identify patterns and trends.
Learn more about conditional formatting
When analyzing data, you often ask yourself some questions, such as:
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Case: rfm analysis of member customer transaction data using Excel
Background:
A Member Service Enterprise has about 1200 member customers in the past year. As the company wants to activate promotions for different categories of inactive customers,
After the mid-term examination of a class, only published results in accordance with the requirements, but students and parents asked to know the rankings. In order to publish results rankings, students can be found through the results of their
In Excel tables, the number of digits is processed, and the number of digits you specify is often rounded as needed.
Numeric rounding can be done with the following functions:
Rounding =round (a1,0)
Truncate decimal rounding =rounddown (a1,0)
The classification model tries to classify each instance into a specific class, and the result of the classification model is generally a real value, such as logistic regression, the result is a real value from 0 to 1. How to determine the threshold
Comment from Xinwei: recently, I was helping Gao review a piece of his thesis on top of the top-cut top-down list. Seeing the ROC curve, I checked the masterpiece of Stentor and thought it was a good explanation. I would like to repost it
Assume that the student name is A3: a762, and the score of a certain subject is G3: g762, with a full score of 150. There are two methods to divide the four equals levels:
1. Scores are calculated from high to low. The first 1/4 of the total number
Using the five-bit algorithm to calculate the distribution of dataFirst, we set up a five-bit algorithm point K value, respectively, using 16%,37%,63%,84% probabilityAccording to the function percentile of Excel, and the K value, we calculate four
A ramble on machine learningThe data Mining/machine learning project typically consists of four key sections, namely, data analysis, feature engineering, model building, validation.1 Data AnalysisIn a broad sense, data analysis includes data
(i). Performance Indicators
Pv:pageview, page views or clicks, each time the user refreshes is calculated once, the user once refreshed, to the server caused a request.
Uv:uniquevisitor, a computer client that accesses your site is a guest, and the
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