The next def returns the quantity of head count, the number of agents that are logged on the platform To measure and sum all the data available, we perform a query to the CASSANDRA database, also within a function. We also created a def to remove outliers, means the values that take of the values that is out of the line, like too big and little values.
#Outline dashboard code
After that we create a function that we can identify on the code beginning with the reserved word def, this function treat a specifically field on our available data that came in seconds, as we can see we use “format” to return this seconds in a structure that is more pleasing to the human eyes and easier to understand without mathematical calculations. All the keywords except True, False and None are in lowercase and they must be written as it is. This number can vary slightly in course of time. They are used to define the syntax and structure of the Python language.
Keywords in Python programming language We cannot use a keyword as variable name, function name or any other identifier. We start with a date treatment, the process of this treatment clear all the accumulated data every first day of the month, that’s because the dashboard was made to show monthly results of an IVR (Interactive voice response) operation. Created by Guido van Rossum and first released in 1991, Python has a design philosophy that emphasizes code readability, notably using significant whitespace. Python is an interpreted high-level programming language for general-purpose programming. Data scientist A person employed to analyze and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making. Languages that programmers use to write code are called "high-level languages." This code can be compiled into a "low-level language," which is recognized directly by the computer hardware.
#Outline dashboard software
Programming language A programming language is a set of commands, instructions, and other syntax use to create a software program. Real-time monitoring reduces the hours of analyzing and long line of communication that previously challenged businesses. A data dashboard is the most efficient way to track multiple data sources because it provides a central location for businesses to monitor and analyze performance. Behind the scenes, a dashboard connects to your files, attachments, services and API’s, but on the surface displays all this data in the form of tables, line charts, bar charts and gauges. They are customizable to meet the specific needs of a department and company. Dashboard A dashboard is an information management tool that visually tracks, analyzes and displays key performance indicators (KPI), metrics and key data points to monitor the health of a business, department or specific process. A database is generally stored in a DBMS-specific format which is not portable, but different DBMSs can share data by using standards such as SQL and ODBC or JDBC.
(Sometimes a DBMS is loosely referred to as a "database".) A general-purpose DBMS allows the definition, creation, querying, update, and administration of databases. A database-management system (DBMS) is a computer-software application that interacts with end-users, other applications, and the database itself to capture and analyze data. Database designers typically organize the data to model aspects of reality in a way that supports processes requiring information. Database A database is an organized collection of data, stored and accessed electronically. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science. Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. Transcript: Presented by Leticia Ramos Introduction Objective This dashboard was made to show results of an IVR (Interactive voice response) operation on an Call Center Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured.
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