The histogram is used for variables whose values are numerical and measured on an interval scale. It is generally used when dealing with large data sets (greater than 100 observations). A histogram can also help detect any unusual observations (outliers) or any gaps in the data.

To make a histogram, follow these steps:

1. On the vertical axis, place frequencies. Label this axis “Frequency”.
2. On the horizontal axis, place the lower value of each interval.
3. Draw a bar extending from the lower value of each interval to the lower value of the next interval.

bin() is an in-built function in Python that takes in integer x and returns the binary representation of x in a string format. If x is not an integer, then the _index()_ method needs to be implemented to obtain an integer as the return value instead of as a “TypeError” exception.

Let’s have a look at the counts of each bin. Notice that you can define also you own labels within the cut function….Create Specific Bins

1. Bin 1: (-inf, 15]
2. Bin 2: (15,25]
3. Bin 3: (25, inf)

The term bank identification number (BIN) refers to the initial set of four to six numbers that appear on a payment card. This set of numbers identifies the institution that issues the card and is key in the process of matching transactions to the issuer of the charge card.

The pandas documentation describes qcut as a “Quantile-based discretization function.” This basically means that qcut tries to divide up the underlying data into equal sized bins. The function defines the bins using percentiles based on the distribution of the data, not the actual numeric edges of the bins.

Statistical data binning is a way to group numbers of more or less continuous values into a smaller number of “bins”. For example, if you have data about a group of people, you might want to arrange their ages into a smaller number of age intervals (for example, grouping every five years together).

When probability distribution function is used to handle the continuous data the accuracy of the model is about 61.11%. However, when we introduce optimal equal width binning for discretizing the continuous data the accuracy increases about 7%.

Binning, also known as quantization is used for transforming continuous numeric features into discrete ones (categories). These discrete values or numbers can be thought of as categories or bins into which the raw, continuous numeric values are binned or grouped into.

Binning or discretization is the process of transforming numerical variables into categorical counterparts. An example is to bin values for Age into categories such as 20-39, 40-59, and 60-79. Numerical variables are usually discretized in the modeling methods based on frequency tables (e.g., decision trees).

There are two types of binning:

• Unsupervised Binning: Equal width binning, Equal frequency binning.
• Supervised Binning: Entropy-based binning.

Binning is a way to group a number of more or less continuous values into a smaller number of “bins”. For example, if you have data about a group of people, you might want to arrange their ages into a smaller number of age intervals. There are several different binning methods available.

Building Information Modeling (BIM) is an intelligent 3D model-based process that gives architecture, engineering, and construction (AEC) professionals the insight and tools to more efficiently plan, design, construct, and manage buildings and infrastructure.

BIM – Building Information Modeling – is a complicated process that includes not only 3D modelling, but also planning, designing, constructing, collaboration, and more. The ability to share relevant data with all of the project’s participants makes BIM an excellent collaboration tool in general.

Architects and engineers use BIM to evaluate design options and automatically generate accurate 2D drawings from the 3D model [57]. BIM helps transfer information quickly between different design disciplines [57], and, thus, BIM use enhances their collaboration [8].

Revit is not BIM, but was built for BIM. Revit is a single application built for Building Information Modeling with features for: Architectural design. MEP (mechanical, electrical, and plumbing)

A good way to look at the benefits of each tool is AutoCAD is great for 2D drawing, where only precise line work is needed, such as elevation detail drawings. Revit is great for modeling, generating cost schedules, collaboration and change management. In the industry of design and construction, competition is fierce.

BIM is a process and Revit is a tool to leverage that process. BIM is a process, a methodology and Revit is a single application built for Building Information Modeling with features for the three main disciplines of the AEC industry, (Architectural, MEP- Mechanical, Electrical and Plumbing, Structural engineering).

Overall, Revit is aimed at more complex projects of whole infrastructures. Sketchup would handle such a project too, but it’s much better fitted for interior design thanks to 3D visualization tools. However, if you’re planning to bring your project to life and build it, Revit is the more suitable 3D software for you.