![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/07\/time-series-graph-examples.jpg\")
<\/div>\n![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2021\/08\/time-series-graph-examples-button-1.jpg\")
<\/a>![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2021\/08\/time-series-graph-examples-button-2.jpg\")
<\/a><\/div>\nWhat\u2019s the chart to go for?<\/p>\n
Yes, you guessed right. Time Series Graphs<\/strong>. This chart is suitable in this scenario because time and dates are continuous, categorical data. Keep reading to uncover tips you didn\u2019t know using our Time Series Graph examples throughout the blog.<\/p>\n This blog will walk you through tips that thousands of seasoned data visualization experts use to make their stories persuasive. So these tips (and secrets) are tested and proven.<\/p>\n We\u2019re confident your storytelling skills will be supercharged.<\/p>\n Before we delve right into types and examples of Time Series Charts, let\u2019s introduce the subject matter.<\/p>\n In this blog, you\u2019ll learn:<\/p>\n Definition<\/strong>: Time Series Analysis is the process of analyzing data collected at different points in time.<\/em> Besides, there\u2019s always the potential for correlation between variables in these charts because data points are collected in adjacent periods.<\/p>\n Even you can check the trend on your time-series data to know if the trend is going upward or downward.<\/p>\n These charts are incredibly popular in the world of finance and investing. This is because investors track the value of stocks and other securities across time. In Forex trading, many software tools use Time Series to show the price of currencies across different time frames.<\/p>\n In Economics, Time Series Charts<\/strong> are used to track the gross domestic product (GDP) across time.<\/p>\n So these advanced charts can provide in-depth insights into whether your data is:<\/p>\n Suppose you wanted to analyze a Time Series of daily closing stock prices for a given stock over one year. Naturally, you would obtain a list of all the closing prices for the stock from each day for the past year and list them chronologically. This would be a one-year daily closing price time series for the stock.<\/p>\n Delving a bit deeper, you might analyze Time Series data with technical analysis tools to know whether the stock’s time series shows any seasonality.<\/p>\n This will help to determine if the stock goes through peaks and troughs at regular times each year.<\/p>\n Analysis in this area would require taking the observed prices and correlating them to a chosen season. This can include traditional calendar seasons, such as summer and winter, or retail seasons, such as holiday seasons.<\/p>\n Time Series Graphs<\/strong> plot data on the y-axis against an increment of time on the x-axis.<\/em> Besides, Time Series Graphs visually highlight the behavior and patterns of the data and can lay the foundation for building a reliable model.<\/p>\n Now that you are familiar with Time Series: let\u2019s jump into the core types of visualizations you can use to make your story more compelling.<\/p>\n There are many ways available to use visualization to show time series graphs. But below 6 types are widely used and can be found in the ChartExpo library:<\/p>\n This chart visualizes data as a series of markers or points connected by a curve or a line. Besides, it has a horizontal axis that depicts a continuous progression, i.e., time. On the other hand, the vertical axis reports values for a metric of interest across that progression. For example, this chart tells about the number of accidents on a particular road in different months.<\/p>\n So when should you use a Line Chart<\/a>?<\/p>\n Use this chart to emphasize changes in values for one variable (plotted on the vertical axis) for continuous values of a second variable (plotted on the horizontal).<\/p>\n To get the insights, check for line segments moving consistently from left to right and evaluate their respective slopes (rate of change).<\/p>\n On the horizontal axis, you need a variable that depicts continuous values with a regular interval of measurement. And this variable should be a temporal one, generating an observation every minute, hour, day, week, or month.<\/p>\n Besides, you need a metric variable for points that fall in each of the intervals defined by the horizontal-axis variable on the vertical axis. Often, this can be a statistical summary, such as:<\/p>\n Don\u2019t use this chart for:<\/p>\n Plotting multiple data series in one chart is possible if you use a Multi-Series Line Chart.<\/p>\n This chart visualizes trends and relationships in various datasets. It\u2019s made up of various data points connected using line segments, where each point represents a single value. Use this chart to visualize continuous data like prices over time.<\/p>\n To increase the effectiveness of this chart in your story, follow the BEST practices highlighted below:<\/p>\n A Dual Axis Chart<\/a> comes in handy if you want to compare the performance of two variables over a given time. For instance, the chart above shows the performance of two primary metrics (wasted spend and conversion) across time (horizontal axis).<\/p>\n It\u2019s effortless to illustrate the relationship between two different variables using this chart. This is because it shows a lot of information with limited space.<\/p>\n You can quickly discover trends you may have otherwise missed if you\u2019re switching between graphs. Besides, you can visualize variables with different numerical units. For instance, you can visualize the number (count) and prices of houses sold in Houston in a predetermined period.<\/p>\n It all depends on you or your audience what type of chart they like.<\/p>\n A chart can only hold so much information before it becomes overwhelming. This is not an exception for Dual Axis Line Charts. So, stick to making one point with your chart.<\/p>\n You don\u2019t want to create confusion among your audiences with charts cluttered with insights. Clutter is the greatest enemy of a compelling story.<\/p>\n A Dot Chart<\/a> or plot visualizes data points on a reasonably simple scale, typically filled in circles.<\/p>\n Besides, it visualizes variables in the form of dots in a Cartesian coordinate system. You can easily spot the presence or absence of a relationship between two variables in your data.<\/p>\n Dot Charts are valuable in providing insights into correlations between key variables.<\/p>\n The correlation between the variables is considered high (or strong) if it\u2019s possible to draw a (nearly) straight line between the markers on a Dot Chart. Conversely, if the markers are distributed evenly, then the correlation is low or might equal zero.<\/p>\n Key takeaway: Use this chart if you want to communicate correlation insights in your story.<\/p>\n An area Line Chart connects data points with a continuous line and fills in the region below with a solid color. This might seem to be a minor cosmetic change, but it significantly affects how your audience views the data in the chart.<\/p>\n So use this chart for:<\/strong><\/p>\n Area graphs are the same as a regular Line Chart, with two exceptions:<\/p>\n How do you read this chart?<\/p>\n Always focus on how the values on the vertical axis change, up or down, as you progress from left to right along the horizontal axis.<\/p>\n Your audience\u2019s perception is bound to change when you fill color between the line and the baseline, transforming the line Chart into an Area Line Chart.<\/p>\n Area Line Charts are colorful, eye-catching, and are uncommon enough that the novelty factor tends to draw attention. However, Line and Area Line Charts are not interchangeable due to how audiences perceive the different presentations of data. So use it only when you want to highlight the volatility of the trend. But be careful with how you use colors.<\/p>\n And this is because it could be your compelling story\u2019s undoing.<\/p>\n A Vertical Axis Line Chart is useful for displaying metrics that contain very different ranges of values. It uses multiple axes to illustrate the relationships between multiple variables with different magnitudes and scales of measurement. It demonstrate how a particular data changes at equivalent intervals of time.<\/p>\n Data values in this chart are plotted as points connected using line segments. Use this chart to map continuous data sets over time. You can use this chart to visualize two metrics against time. The first variable assumes the position of a Line Chart, while the other one becomes the shaded part.<\/p>\n So how do you compare the performance of two variables using this chart?<\/p>\n Although this chart can accept 3 dimensions and one metric. But in one dimension column, you can use make the data in such a way that can lead to another metrics data in the same column.<\/p>\n The gap between the shaded part and the curve is the difference in the performance of the metric, as shown below. For instance, conversions are well below the number of clicks. On June 2017, the number of conversions was abnormally higher than other months.<\/p>\n The same chart can be used to show the same metric on current and previous data. E.g. you can show how particular metrics were performed on March 05 and Feb 05.<\/p>\n Now that you know the type of charts classified as Time Series, let\u2019s jump into the meaty part of the blog. How to create these charts to visualize your data with ease practically.<\/p>\n We promise the examples will be amazingly simple. Yes, we\u2019ll keep them stupid and simple.<\/p>\n So keep reading because you don\u2019t want to miss this part.<\/p>\n Let\u2019s start!<\/p>\n Imagine you run a business, and you want to know your annual conversion performance in a simple way.<\/p>\n The Line Chart is the go-to graph for the scenario. Let\u2019s use the tabular data below for the sake of the discussion.<\/p>\n\n
What Is Time Series Analysis?<\/h2>\n
![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/01\/time-series-graph-examples-1.jpg\")
<\/div>\n![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/01\/time-series-graph-examples-2.jpg\")
<\/div>\n\n
Examples of Time Series Graphs<\/h2>\n
\u00a0 1. Line Chart<\/h3>\n
![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/01\/time-series-graph-examples-3.jpg\")
<\/div>\n<\/a><\/a><\/div>\n\n
\n
\u00a0 2. Multi-series Line Chart<\/h3>\n
![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/01\/time-series-graph-examples-14.jpg\")
<\/div>\n<\/a><\/a><\/div>\n\n
\u00a0 3. Dual Axis Line Chart<\/h3>\n
![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/01\/time-series-graph-examples-5.jpg\")
<\/div>\n![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2021\/08\/time-series-graph-examples-button-3.jpg\")
<\/a>![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2021\/08\/time-series-graph-examples-button-4.jpg\")
<\/a><\/div>\n\u00a0 4. Dot Chart<\/h3>\n
![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/01\/time-series-graph-examples-6.jpg\")
<\/div>\n<\/a><\/a><\/div>\n\u00a0 5. Area Line Chart<\/h3>\n
![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/01\/time-series-graph-examples-17.jpg\")
<\/div>\n<\/a><\/a><\/div>\n\n
\n
\u00a0 6. Vertical Axis Line Chart<\/h3>\n
![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/01\/time-series-graph-examples-4.jpg\")
<\/div>\n<\/a><\/a><\/div>\nHow to Make Time Series Graphs: Step-by-Step Guide with Examples<\/h2>\n
Line Chart<\/h3>\n
![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/07\/time-series-graph-examples-12.jpg\")
<\/div>\n![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/07\/time-series-graph-examples-13.jpg\")
<\/div>\n![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/07\/time-series-graph-examples-14.jpg\")
<\/div>\n![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/04\/time-series-graph-examples-13-.jpg\")
<\/div>\n![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/04\/time-series-graph-examples-15-.jpg\")
<\/div>\n![\"Time](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/04\/time-series-graph-examples-016-.jpg\")
<\/div>\n![\"Survey](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/04\/time-series-graph-examples-017-.jpg\")
<\/div>\n![\"Survey](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/04\/survey-analysis-report-example-4.jpg\")
<\/div>\n![\"Survey](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/04\/survey-analysis-report-example-5.jpg\")
<\/div>\n![\"Survey](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/07\/survey-analysis-report-example-6.jpg\")
<\/div>\n![\"Survey](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/04\/survey-analysis-report-example-7.jpg\")
<\/div>\n![\"Survey](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/04\/survey-analysis-report-example-8.jpg\")
<\/div>\n![\"Survey](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/07\/survey-analysis-report-example-9.jpg\")
<\/div>\n![\"Survey](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/04\/survey-analysis-report-example-09.jpg\")
<\/div>\n<\/div>\n