Visuals in Power BI
Visualization is a building block of Power BI and is used to present your data visually. It is the process of taking raw data and transforming it into graphical visualization. In Power BI a wide variety of features such as Bar Chart, Column Chart, Pie Chart, Waterfalls, Funnels & Map, etc. Data visualization is a quick and easy way to convey concepts to the end-user.
There are more than 30+ features of visualization in Power BI. Let's see one by one;
1] Bar Chart & Column Chart:
This is one of the most familiar & standard types of charts used to display specific values across different categories. A bar & column chart is used to represent categorical data in rectangular bars by the length of the rectangle denoted by a specific measure value.
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| Bar Chart |
Stacked Bar Chart & Clustered Bar Chart
A stacked bar chart is a visual representation of parts of a whole & is often used to compare. In a stacked bar chart each bar represents a whole and segments in bars represent different categories of that whole.
In the clustered charts the sub bars were placed side by side instead of kept in their stacks. The cluster chart data series shares the same axis labels, so vertical bars are grouped by category. Clustered columns allow the direct comparison of multiple series, but they become visually complex quickly.
2] Line Chart
Line charts show changes in a value across continuous measurements such as those made over time. Movement of line up or down helps bring out positive and negative change respectively. Line chart best when you have multiple data series.
Line & Stacked Column Chart
It is a combined chart that combines the line chart & column chart together. By combining these 2 visuals you can make a very quick comparison between 2 sets of measures.
3] Area Chart:
The area chart depends on line charts to display quantitative graphical data. The area between the axis and lines is commonly filled with colors, textures, and patterns. You can compare more than two quantities with area charts. It shows the trend changes over time and can be used to attract the attention of the users to know the total changes across the trends.
4] Pie Chart:
A pie chart is a circular statistical chart, and it shows the whole data in parts. Each portion of a pie chart represents the percentages, and the sum of all parts should be equal to 100%. The whole data can be divided into slices to show the numerical propositions of each part of the data. Pie charts are mostly used to represent the same category of data. It helps users to understand the data quickly. They are widely used in education, the business world, and communication media.
5] Doughnut Chart
Doughnuts are similar to pie charts, and it is named doughnut chart because it looks similar to a doughnut. You can easily understand the data because doughnut charts show the whole data into the proposition. It is the most useful chart when you need to display various propositions that make up the final value.
6] Gauge Charts:
A gauge chart is also known as a speedometer or dial chart. It uses the needle to read the data, and it shows the information on a dial. The gauge chart, it represents the value of each needle as it reads the data according to the axis or colored data. These charts are useful to compare the values between the variables either by using multiple needles on the same gauge or different gauges.
7] Funnel Chart:
The funnel chart is a type of chart which is used to visualize the data that flows from one phase to another phase. In the funnel chart, the whole data is considered as 100%, and in each phase, it is represented as numerical propositions of the data.
8] Scatter Chart:
Scatter charts are used to visualize the data using the dots that represent the values obtained from two different variables, such as the x-axis and y-axis. These charts are used to show the relationship between two different variables. It is also called a correlation plot because it shows how two variables are correlated to each other.
9] Waterfall Chart: A waterfall chart is used to show how initial values are increasing and decreasing gradually by a series of values to arrive at the final value.
Use a basic map to associate both categorical and quantitative information with spatial locations.
A filled map uses shading or tinting or patterns to display how a value differs in proportion across geography or region. Quickly display these relative differences with shading that ranges from light (less-frequent/lower) to dark (more-frequent/more).
Shape maps compare regions on a map using color. A shape map can't show precise geographical locations of data points on a map. Instead, its main purpose is to show relative comparisons of regions on a map by coloring them differently.
11] TreeMap:
Treemaps display hierarchical data sets in a nested rectangle. At each level, hierarchy is represented by a color. The size of the space in the rectangle depends on the data values. The rectangular boxes are arranged in size from top left to bottom right.
12] Matrix Table :
A Matrix chart shows the relation between two or more variables in a data set. It is mainly made up of columns and rows to represent the data in the grid format. At least two variables are required to create a matrix chart if there is any third or fourth variable, and color or other dimensions that can be added to the matrix to represent the data.
Conclusion:
Here we discussed different visualization charts used in Power BI for report formation. In Microsoft, there are many Power BI visual lists and charts.
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