From 89599352269ee29f33c1a607e9a838448ba750ac Mon Sep 17 00:00:00 2001 From: Alex Peters <80283343+alexpeters1208@users.noreply.github.com> Date: Wed, 31 Jul 2024 15:33:41 -0500 Subject: [PATCH] docs: small changes to plotly-express readme (#681) I looked over the additions I made to the readme, and noticed some small problems. This fixes them. --- plugins/plotly-express/docs/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/plugins/plotly-express/docs/README.md b/plugins/plotly-express/docs/README.md index 9752ec288..4e7705628 100644 --- a/plugins/plotly-express/docs/README.md +++ b/plugins/plotly-express/docs/README.md @@ -123,16 +123,16 @@ The documentation for Deephaven Express routinely uses some common terms to help - **Variable**: Variables, usually represented as columns in a Deephaven table, are a series of data points or observations of a particular characteristic in the data set. Examples include age, GDP, stock price, wind direction, sex, zip code, shoe size, square footage, and height. -The following terms define different types of variable. Variable types are important because any given plot is usually only intended to be used with a specific variable type: +The following terms define different types of variables. Variable types are important because any given plot is usually only intended to be used with specific variable types: - **Categorical variable**: This is a variable with a countable (often small) number of possible measurements for which an average cannot be computed. Examples include sex, country, flower species, stock symbol, and last name. Zip code is also a categorical variable, because while it is made of numbers and can technically be averaged, the "average zip code" is not a sensible concept. - **Discrete numeric variable** (often abbreviated to _discrete variable_): This is a variable with a countable number of possible measurements for which an average can be computed. These are typically represented with whole numbers. Examples include the number of wins in a season, number of bedrooms in a house, the size of one's immediate family, and the number of letters in a word. - **Continuous numberic variable** (often abbreviated to _continuous variable_): This is a variable with a spectrum of possible measurements for which an average can be computed. These are typically represented with decimal or fractional numbers. Examples include height, square footage of a home, length of a flower petal, price of a stock, and the distance between two stars. -The following terms define relationships between variables. They do not describe attributes of a variable, but describe how a variable relates to others: +The following terms define relationships between variables. They do not describe attributes of a variable, but describe how variables relate to one another: -- **Explanatory variable**: A variable that other variables depend on in some important way. The most common example is time. If explanatory variables are displayed in a plot, they are presented on the x-axis by convention. -- **Response variable**: A variable that depends directly on another variable (the explanatory variable) in some important way. A rule of thumb is that explanatory variables are used to make predictions about repsonse variables, but not conversely. If response variables are displayed in a plot, they are presented on the y-axis by convention. +- **Explanatory variable**: A variable that other variables depend on in some important way. A common example is time. If explanatory variables are displayed in a plot, they are presented on the x-axis by convention. +- **Response variable**: A variable that depends directly on another variable (the explanatory variable) in some important way. A rule of thumb is that explanatory variables are used to make predictions about response variables, but not conversely. If response variables are displayed in a plot, they are presented on the y-axis by convention. ## Contributing