Categorize Chart Log For Free

What is the simplest way to organize data? The simplest way to organize data is to present them in a table.

Chart selection tips If you have nominal data, use bar charts or histograms if your data is discrete, or line/ area charts if it is continuous. If you want to show the relationship between values in your dataset, use a scatter plot, bubble chart, or line charts.

Bar charts are one of the most common data visualizations. You can use them to quickly compare data across categories, highlight differences, show trends and outliers, and reveal historical highs and lows at a glance. Bar charts are especially effective when you have data that can be split into multiple categories.

Logarithmic price scalealso referred to as logrepresents price spacing on the vertical or y-axis dependent on the percentage of change in the underlying asset's price. This is usually the default chart style.

A logarithmic scale is a scale used when there is a large range of quantities. Common uses include earthquake strength, sound loudness, light intensity, spreading rates of epidemics, and pH of solutions. It is based on orders of magnitude, rather than a standard linear scale.

There are two main reasons to use logarithmic scales in charts and graphs. The first is to respond to skewness towards large values; i.e., cases in which one or a few points are much larger than the bulk of the data. The second is to show percent change or multiplicative factors.

Linear graphs are scaled so that equal vertical distances represent the same absolute-dollar-value change. The logarithmic scale reveals percentage changes.A change from 100 to 200, for example, is presented in the same way as a change from 1,000 to 2,000.