📄️ Column Chart
Column charts visually represent categorical or quantitative data using vertical bars, making it easy to compare values across different categories. They are frequently used to highlight trends, make comparisons, and show distributions. For instance, a column chart can display the monthly sales of various products, with each bar reflecting the revenue for a particular month.
📄️ Area Chart
An Area Chart is a type of data visualization that displays quantitative data over time or across categories using shaded areas under a line. It is similar to a line chart but fills the area below the line, making it useful for showing trends and the magnitude of values over time while emphasizing the total value represented by the area.
📄️ Line Chart
A line chart is a type of data visualization that displays information as a series of data points (or markers) connected by straight line segments. It is primarily used to represent quantitative data over a continuous range, often time, making it an effective tool for identifying trends, patterns, and fluctuations in data.
📄️ Gauge Chart
A gauge chart (also known as a speedometer chart or dial chart) is a type of data visualization used to represent a single value in relation to a specified range of values. It typically displays this information using a dial or needle that points to a value on a curved or semi-circular scale, resembling a speedometer in a vehicle.
📄️ Table
In reporting, a table is a structured format used to organize and present data in a grid-like format, consisting of rows and columns. Tables are essential tools for summarizing, displaying, and analyzing data, making it easier for viewers to interpret information quickly and accurately.
📄️ KPI
KPI stands for Key Performance Indicator. In the context of data visuals, KPIs are quantifiable metrics that organizations use to evaluate their success in achieving specific objectives. KPIs provide valuable insights into performance and help stakeholders make informed decisions.