R is a programming language for statistical computing and graphics. ggplotly() is a function used to convert static plots to web-based plots. ggplotly() returns a Plotly object. In this tutorial, we will see how to display a variable as tooltip in ggplotly using R language. Here, we will use the aes() function that is used for aesthetic mapping between visual cue and a variable. It contains the following arguments: position (X and Y axes), color, fill, shape, line type, and size. To set the tooltip text, we will use the ggplotly(tooltip = " ") method. Follow the steps ... Read More

R is a programming language for statistical computing and graphics. ggplotly() is a function used to convert static plots to web-based plots. ggplotly() returns a Plotly object. In this tutorial, we will see how to show multiple ggplot2 plots with Plotly using R. Here, we will use the aes() function that is used for aesthetic mapping between visual cue and a variable. It contains the following arguments: position (X and Y axes), color, fill, shape, line type, and size. To display multiple ggplot2 plots, we will use the facet_grid() function. Follow the steps given below to show multiple ... Read More

R is a programming language for statistical computing and graphics. ggplotly() is a function that is used to convert a static plot to an interactive web-based version. ggplotly() returns a Plotly object. In this tutorial, we will see how to remove the option bar from ggplotly using R. Here, we will use the aes() function that is used for aesthetic mapping between visual cue and a variable. It contains the following arguments: position (X and Y axes), color, fill, shape, line type, and size. To remove the option bar from ggplotly, we will set "config(displayModeBar = FALSE)". Follow ... Read More

R is a programming language for statistical computing and graphics. ggplotly() is a function that is used to convert a static plot to an interactive web-based version. ggplotly() returns a Plotly object. In this tutorial, we will see how to format mouse over labels using ggplotly in R. Here, we will use the aes() function that is used for aesthetic mapping between visual cue and a variable. It contains the following arguments: position (X and Y axes), color, fill, shape, line type, and size. In addition, we will use geom_line() function to set the color and the ggplotly(tooltip="") function ... Read More

Plotly is an open-source, interactive, and browser-based charting library for Python. Python users can use Plotly to generate different types of charts including scientific charts, 3D graphs, statistical charts, financial charts, etc. In this tutorial, we will show how you can use Plotly to plot data on the secondary Y-Axis. Here we will use the plotly.graph_objects module to generate figures. It contains a lot of methods to customize the charts and render them into HTML format. We will plot two bar charts using the add_trace() method and then use the update_layout() method to set a property with dict arguments. Follow ... Read More

Plotly is an open-source plotting library in Python that can generate several different types of charts. Python users can use Plotly to create interactive web-based visualizations. In this tutorial, we will see how you can use Plotly to add multiple text labels in a chart from DataFrame columns. Here, we will use the plotly.graph_objects module to generate figures. It contains a lot of methods to customize charts and render them into HTML format. Then, we will use the Scatter() method of this module to generate a scatter plot. The "line" attribute of Scatter() contains a parameter "color" that we ... Read More

In this article, we will learn how to implement a python program to calculate standard deviation on a dataset. Consider a set of values plotted on any coordinate axes. Standard deviation of these set of values, called population, is defined as the variation seen among them. If the standard deviation is low, the values are plotted closely to the mean. But if the standard deviation is high, the values are dispersed farther from the mean. It is denoted by square root of the variance of a dataset. There are two types of standard deviations − The population standard deviation is ... Read More

Mathematically, a cube root of a certain number is defined as a value obtained when the number is divided by itself thrice in a row. It is the reverse of a cube value. For example, the cube root of 216 is 6, as 6 × 6 × 6 = 216. Our task in this article is to find the cube root of a given number using python. The cube root is represented using the symbol “$\mathrm{\sqrt[3]{a}}$”. The 3 in the symbol denotes that the value is divided thrice in order to achieve the cube root. There are various ways in ... Read More

A rhombus is a four-sided polygon that has all equal edges and perpendicular diagonals. It is also called as a special type of parallelogram, since a parallelogram has equal opposite sides and is shaped similar. The area of a rhombus is calculated with its diagonals, as they form four triangles within the figure. The combination of the area of all those triangles will give us the area of a rhombus. The mathematical formula is − Area − $\mathrm{{\frac{p\:\times\:q}{2}}}$ Where, p and q are the lengths of diagonals. Input Output Scenarios Let us look at some input output scenarios to ... Read More

A sphere (solid) is usually considered a two-dimensional figure even though the figure is seen in three planes from its center. The main reason for this is that, a sphere is only measured using its radius. However, a hollow sphere is considered a three-dimensional figure since it contains space within its spherical walls and has two different radii to measure its dimensions. The spherical figure only has total surface area since there is only one dimension to measure the entire object. The formula to calculate the surface area of a sphere is − Area of solid sphere − $\mathrm{{4\pi ... Read More