Tatistics are one of the most important parts of our lives. Without statistics, the data is nothing. If you don’t use statistics, no other data is available. Therefore, an important role in statistics is to represent data in a meaningful way. In this way, anyone can understand the data without in-depth knowledge of statistics. Statistical data sets often contain large amounts of values. These values are difficult to express in the form of lists and articles. That’s why charts represent the overall statistical value in a clean and well-managed order. This blog shows the top seven types of statistical charts commonly used in statistics.

There are different types of statistical charts in the world. However, a useful graph is a graph that can transmit information efficiently and effectively to the user. Graphs can increase data productivity and unlock hidden data potential. You can use graphs to get an idea of the relationship between data. In addition to that, it provides the best way to easily express and compare complex data sets.

First of all, because each graph is different from other graphs, you cannot use any type of graph statistics for different types of data sets. Therefore, we must have the right knowledge about the types of statistical charts available in the world. The most important thing is that the data type always determines the number that should be used. Conversely, qualitative and quantitative data uses different types of graphs. The same statistics chart cannot be used for both.

**Pareto Diagram or Bar Graph**

Barreto charts are also known as bar charts. This is the best way to express quality data. It was developed by Velfredo Barreto in the early 20th century. Use this graph to conduct research on wealth and poverty. This graph provides two ways to view the data. You can display the data horizontally or vertically. You can use it to compare data such as volume, properties, time, and iterations. The bars in this chart are highlighted as the default category. In this bar, you can quickly get an idea of the category that contains the most data. This graph has three types of straps: single, stacked and group.

**Pie Chart or Circle Graph**

Pie charts are also known as pie charts. It is also one of the most widely used statistical charts in the world. Statisticians typically use this graph to graphically represent the data. As the name suggests, this graph looks like a circular pie with a few slices. You can also use this type of statistical graph to represent that quality data. Qualitative data means that the data is not displayed digitally. Besides, we put different categories in each pie piece. The size of the slide depends on the data. Some slides are more important and some may be smaller.

**Histogram**

A graph is the most different statistical graph that represents the data. We use it to express quantitative data. In this graph, the range of values is defined as categories. If the item contains a lower frequency, it is shorter than a longer item with a higher frequency. Most students are confused with bar charts and graphs. Each of these looks quite similar. However, these graphs differ at the data measurement level. The frequency of class data in the bar chart is a key factor. In the graph, the data with the values in order is the default element. Normal values such as emotions, opinions and suggestions cannot be easily measured.

**Conclusion**

All these seven types of statistics graphs are the major ones. Apart from that, there are other types of statistics graphs, too i.e., the statistics bar graphs, statistics misleading graphs, statistics line graphs, and even statistics bad graphs. Most of the statistics students are also well aware of exponentials graphs, logarithmic graphs, trigonometric graphs, cartesian graphs, and frequency distributions graphs.

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