1. Count Logica - APP.NET
Count Logica. A Halloween themed puzzle game! Find monsters on a grid using clues, mirrors, and logic. Discover all the monsters to win!
A Halloween themed puzzle game! Find monsters on a grid using clues, mirrors, and logic. Discover all the monsters to win!
2. Spilling the secrets: How to count cells with a hemocytometer - ChemoMetec
A hemocytometer is a specialized slide used for cell counting with a microscope. There are several types of hemocytometers, all with different counting grids.
In this blog post, we answer common questions about hemocytometers...
3. Perform data cell colorization — data_color - GT package - Posit
It's possible to add color to data cells according to their values with data_color(). There is a multitude of ways to perform data cell colorizing here.
It's possible to add color to data cells according to their values with data_color(). There is a multitude of ways to perform data cell colorizing here: targeting: we can constrain which columns and rows should receive the colorization treatment (through the columns and rows arguments) direction: ordinarily we perform coloring in a column-wise fashion but there is the option to color data cells in a row-wise manner (this is controlled by the direction argument) coloring method: data_color() automatically computes colors based on the column type but you can choose a specific methodology (e.g., with bins or quantiles) and the function will generate colors accordingly; the method argument controls this through keywords and other arguments act as inputs to specific methods coloring function: a custom function can be supplied to the fn argument for finer control over color evaluation with data; the scales::col_*() color mapping functions can be used here or any function you might want to define color palettes: with palette we could supply a vector of colors, a viridis or RColorBrewer palette name, or, a palette from the paletteer package value domain: we can either opt to have the range of values define the domain, or, specify one explicitly with the domain argument indirect color application: it's possible to compute colors from one column and apply them to one or more different columns; we can even perform a color mapping from multiple source columns to the same multiple of targ...
4. Change the color according to the value in Excel
13 jul 2023 · How to change the color of your cells in Excel according to the values? With the conditional formatting tool of Excel, it's very easy.
How to change the color of your cells in Excel according to the values? With the conditional formatting tool of Excel, it's very easy
5. Colormap reference — Matplotlib 3.9.3 documentation
Reference for colormaps included with Matplotlib. A reversed version of each of these colormaps is available by appending _r to the name.
Note
6. Histogram Properties - MathWorks
Histogram properties control the appearance and behavior of the histogram. By changing property values, you can modify aspects of the histogram.
See AlsoSlug Menace Rs3Histogram appearance and behavior
7. Bar charts — geom_bar - ggplot2
logical. Should this layer be included ... These are calculated by the 'stat' part of layers and can be accessed with delayed evaluation. after_stat(count)
There are two types of bar charts: geom_bar() and geom_col(). geom_bar() makes the height of the bar proportional to the number of cases in each group (or if the weight aesthetic is supplied, the sum of the weights). If you want the heights of the bars to represent values in the data, use geom_col() instead. geom_bar() uses stat_count() by default: it counts the number of cases at each x position. geom_col() uses stat_identity(): it leaves the data as is.
8. Drawing Survival Curves Using ggplot2 — ggsurvplot • survminer
color to be used for the survival curves. If the number of strata/group (n.strata) = 1, the expected value is the color name. For example color = ...
ggsurvplot() is a generic function to plot survival curves. Wrapper around the ggsurvplot_xx() family functions. Plot one or a list of survfit objects as generated by the survfit.formula() and surv_fit functions: ggsurvplot_list() ggsurvplot_facet() ggsurvplot_group_by() ggsurvplot_add_all() ggsurvplot_combine() See the documentation for each function to learn how to control that aspect of the ggsurvplot(). ggsurvplot() accepts further arguments to be passed to the ggsurvplot_xx() functions. Has options to: plot a list of survfit objects, facet survival curves into multiple panels, group dataset by one or two grouping variables and to create the survival curves in each subset, combine multiple survfit objects into one plot, add survival curves of the pooled patients (null model) onto the main stratified plot, plot survival curves from a data frame containing survival curve summary as returned by surv_summary().
9. From SQL to DAX: Filtering Data - SQLBI
With this approach, the logical conditions (color red and list price greater ... The CALCULATETABLE could be faster if the number of values returned by each ...
The WHERE condition of an SQL statement has two counterparts in DAX: FILTER and CALCULATETABLE. In this article we explore the differences between them, pro
10. CountStyle - Libreoffice Extensions
By the way, what colour should COUNTSTYLE count: the background colour?, the ... logical and text manipulation functions, with support for variables and arrays.
Extensions for LibreOffice suite
