📄️ Bar Chart
A bar chart (or bar graph) is a type of chart that uses rectangular bars to represent data values in horizontal bars. The length of each bar is proportional to the value it represents, making it easy to compare different categories or groups. For instance, a bar chart can represent the sales performance of various products, with each bar indicating the sales volume or revenue for each item. They are also effective in showcasing survey outcomes, comparing market shares, visualizing budget distributions, and illustrating population demographics, offering a straightforward and intuitive way to interpret the data visually.
📄️ 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.
📄️ Grouped Column Chart
A Grouped Column Chart (also known as a clustered column chart) is a type of bar chart where multiple sets of data are displayed side-by-side in groups for easy comparison. In this chart, vertical bars (columns) represent data values, and each group consists of more than one column, allowing for the comparison of different categories across multiple dimensions.
📄️ Stacked Column Chart
A Stacked Column Chart is a variation of a column chart where the vertical bars are divided into segments that represent different data series. Each bar represents a whole category, and the segments within the bar show the contribution of each subcategory or data series to the total. The height of each segment corresponds to its value, and the total height of the bar reflects the overall total for that category.
📄️ 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.
📄️ Stacked Area Chart
A Stacked Area Chart is a variation of an area chart where multiple data series are plotted on top of each other, with the area below each line filled in, and stacked vertically. The stacking allows viewers to compare both individual and cumulative values over time or across categories. It highlights how different components contribute to the whole and how their contributions change over time.
📄️ 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.
📄️ Multi Line Chart
A Multi Line Chart (or Multiple Line Chart) is a type of data visualization that displays multiple data series on the same chart using separate lines for each series. This allows for easy comparison of trends and values across different categories or groups over a continuous range, often time.
📄️ Combination Chart
A Combination Chart is a data visualization tool that displays multiple types of charts—such as bar, line, or area—in a single view to represent different data sets or metrics. It helps compare and analyze diverse data series with varying scales or units. For example, a line graph might show sales trends over time while a bar chart illustrates monthly revenue. This chart type enhances clarity by integrating multiple insights into one cohesive graphic, making it ideal for identifying relationships, trends, and anomalies.
📄️ Heatmap
A heat map is a data visualization technique that uses color coding to represent values in a two-dimensional space, effectively displaying the magnitude of data points across a matrix or grid. It helps to visualize complex data sets and identify patterns, correlations, and trends at a glance.
📄️ Scatter Plot
A scatter plot is a type of data visualization that uses dots to represent values for two different variables, allowing for the observation of relationships, patterns, and correlations between the variables. Each point on the scatter plot corresponds to an observation in the data set, with one variable plotted along the x-axis and the other along the y-axis.
📄️ Waterfall Chart
A waterfall chart is a type of data visualization that illustrates how an initial value is affected by a series of positive or negative values, leading to a final result. It visually breaks down the cumulative effect of sequentially introduced positive or negative values, making it particularly useful for understanding how a value changes over time or through a process.
📄️ Pie Chart
A pie chart is a circular statistical graphic that is divided into slices to illustrate numerical proportions. Each slice of the pie represents a category's contribution to the whole, making it easy to visualize relative sizes and comparisons among different categories.
📄️ Donut Chart
A donut chart is a type of circular statistical graphic that resembles a pie chart but has a hollow center, creating a "donut" shape. Like pie charts, donut charts are used to represent proportions of a whole, with each segment or "slice" showing the contribution of each category to the total. The hollow center can also be used to display additional information or context.
📄️ Radar Chart
A radar chart (also known as a spider chart or web chart) is a type of data visualization that displays multivariate data in the form of a two-dimensional chart. It consists of a circular grid with multiple axes radiating from a central point, where each axis represents a different variable. The data points for each variable are plotted along these axes, and a line connects them, creating a polygonal shape.
📄️ Funnel Chart
A funnel chart is a specialized data visualization used to represent the stages in a process and the relative size of each stage. Funnels are commonly used in sales to visualize how many customers are present within each step of a sales cycle. At their most general, funnels show you values broken out by steps, and the percent decrease between each successive step.
📄️ Sunburst Chart
A sunburst chart is a hierarchical data visualization technique that displays data in a circular format, allowing users to understand the structure and relationships of data across multiple levels of hierarchy. It effectively represents parts of a whole, where each level of hierarchy is represented by a concentric circle, and each segment within these circles corresponds to a category or subcategory.
📄️ Tree Chart
A tree chart (or tree diagram) is a type of data visualization that represents hierarchical structures in a branching format. It is particularly useful for displaying data that has multiple levels of categories or subcategories, allowing viewers to see relationships and the hierarchy within the 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.
🗃️ Pivot Table
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📄️ 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.
🗃️ Geo Chart
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