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<\/a><\/div>\nWhy? <\/em><\/p>\n For a chart to complement a compelling data story, it has to be simple, relevant, and clear<\/em>. So the nature of the visualization used in terms of clarity and relevance <\/em>determines how the audience receives and acts on the data story.<\/p>\n The choice of visualization determines the ease of reading and interpreting insights. If you want to create a compelling data story that inspires audiences to take action, you need charts that lend clarity.<\/p>\n It\u2019s clarity that makes charts easier to read and interpret <\/em>for the audience. So you really need to do away with unnecessary kinds of stuff that block or clutter key insights informing the big idea<\/em> (thesis statement).<\/p>\n In this blog, you\u2019ll learn the following:<\/p>\n We\u2019ve rounded up valuable tips and strategies<\/em> you can use to make your data story compelling using charts and graphs. We\u2019ve also included tons of examples using video marketing data.<\/p>\n Definition: <\/strong>Interpreting Graphs and Charts involves analyzing and understanding the data displayed in visual formats such as graphs, charts, and diagrams. This process includes recognizing patterns, trends, and relationships within the data to derive meaningful insights and support informed decision-making<\/a>.<\/p>\n We interpret charts to simplify complex data, identify patterns, and uncover trends in a visual format. Charts make it easier to analyze relationships, compare values, and communicate insights effectively, helping individuals and businesses make informed decisions quickly and accurately.<\/p>\n In many ways, visualization is like cooking. You are the chef, and datasets, geometry, and color <\/em>are your ingredients. A skilled chef, who knows how to prepare and combine ingredients and plate the cooked food, is likely to prepare a delicious meal.<\/p>\n Whereas the person who is only familiar with entering the time and power level on a microwave must either endure poor-tasting meals or stick only to the handful of good ones. People who understand the ingredients and know how to cook have fewer limitations.<\/p>\n The skilled chef might even transform an average frozen dinner into a gourmet meal. You\u2019ve got to improve your skills to serve high-level audiences tactfully.<\/p>\n Imagine you\u2019re part of the audience that\u2019s listening to a data store. How do you interpret graphs and charts used in the story?<\/em><\/p>\n Well, visual data is meant to be \u201cread,\u201d just like the text on a page. Images with data often contain crucial information that isn\u2019t available elsewhere in a text.<\/p>\n Ask these questions when you encounter visual data in a data story:<\/p>\n Look for the title and reword it in your own words. For example, a chart of the number of pants sold in June may be titled “Number of Pants Sold in June.”<\/p>\n Look for labels to get an idea of what the graph is saying.<\/p>\n The labels tell you what variables or parameters are being displayed. For example, on a line or bar graph<\/a> of the “Number of Pants Sold in June,” the x-axis might be the days of the month, and the y-axis might be the number of pants sold.<\/p>\n Ask yourself if the units make sense with what you know about the chart so far.<\/p>\n Color coding is often used to add additional information to a graph without taking up extra space. Color itself represents meanings like green for positive and red for negative.<\/p>\n Look for a trend or an insight that you find interesting and mentally form a sentence about it.<\/p>\n How to interpret graphs and charts? Draw conclusions based on the data, remember, you can reach conclusions faster with graphs than using a data table or a written description of the data.<\/p>\n Think like the audience of your story can help identify factors that will resonate with them. So always picture yourself in the shoes of the target audience as you craft a data story.<\/p>\n Interpreting charts is part of the grand scheme, which is listening and understanding<\/em> a data story. Charts are just a medium for helping emphasize the analytical bit<\/em> of the story and maintain the credibility<\/em> of the whole thing.<\/p>\n There are lots of stories connected to one visualization. For example, if one visualization focuses on sales in a month, you might interpret it alongside another visualization showing sales by salesperson, sales by week, seasonal sales charts, or other data interpretations<\/a> the list can go on<\/p>\n Take a look at the chart above. Are you ready to interpret it? Let\u2019s go.<\/em><\/p>\n Note: the human eye starts reading a chart from the left. So it\u2019s imperative to place the scale on the left side.<\/p>\n Let\u2019s proceed to the insights part.<\/em><\/p>\n Choosing the relevant visualization is crucial to creating a compelling data story that inspires action. We\u2019ve rounded up some charts that are tested and proven to visualize video data.<\/p>\n Why?<\/em> These charts put more emphasis on clarity and simplicity<\/em>. There are 3 charts, namely:<\/p>\n How to interpret graphs and charts? The Sentiment Trend Chart is a combination of both line and bar graphs. The plotted line curve helps the audience to note the differences in performance across time (financial year).<\/p>\n The chart incorporates color coding to help the audience distinguish performance. Green<\/strong> stands for desired performance or positive feedback on the video, while red<\/strong> stands for unwanted performance dislikes. September remained the worst month as many dislikes came on this month while May remained the best in getting likes.<\/p>\n This Area Stacked Chart<\/a> uses color coding to create variation in the performance of the variables under study. For instance, the critical metrics under review are namely shares, likes, and dislikes<\/em>.<\/p>\n A stacked Bar Chart is made up of composite bars. So each color in a bar represents a variable that adds up to a sub-total, as shown below.<\/p>\n Now that you\u2019ve learned about video data, how to represent it<\/em>, explore it visually<\/em>, tell a story, and design for an audience: the obvious next step is to put it into practice.<\/em><\/p>\n So, grab your data and visualize. <\/em><\/p>\n Start by reading the title of the chart or graph to understand what it represents. This will give you an overview of the data being presented.<\/p>\n Examine the labels on the x-axis (horizontal) and y-axis (vertical). These will tell you what each axis represents and the units of measurement used.<\/p>\n If there is a legend, review it to understand the meaning of different colors, patterns, or symbols used in the chart or graph<\/a>.<\/p>\n Look at the data points, bars, lines, or sections on the chart. Identify any patterns, trends, or significant values that stand out.<\/p>\n Check the scale used on both axes. Ensure that you understand the increments and how they relate to the data values to avoid misinterpretation.<\/p>\n Look for trends (e.g., increasing or decreasing values) or any clusters of data that suggest a relationship between variables.<\/p>\n Based on the patterns and trends, draw conclusions about the data and what it suggests in relation to the topic or problem being studied.<\/p>\n You must be thinking how you can create such charts which are shown before. Can you believe these charts were drawn in Google Sheets? Yes, it’s true but the problem is these beautiful charts are not natively available in Google Sheets. You need to find some solution to have these charts in this tool.<\/p>\n What\u2019s the Solution?<\/strong><\/p>\n The solution is not to do away with <\/em>your Google Sheets but rather to enhance it with a third-party Add-on.<\/em><\/p>\n Remember, you need visual diagrams that communicate insights effortlessly for you to create a compelling data story<\/em>.<\/p>\n There\u2019s a simple and easy-to-use <\/em>data visualization tool<\/a> you can use to create clear and compelling video data stories. This<\/em> app makes charts that you can customize and download<\/em> EASILY.<\/p>\n This easy-to-use and affordable Add-on<\/em> is called ChartExpo.<\/p>\n ChartExpo is a highly affordable and easy-to-use Google Sheets and Excel Add-on<\/a> that creates simple and easy-to-read<\/em> visualizations for your video data stories.<\/p>\n So if you\u2019re looking for a data visualization tool to create easy-to-interpret<\/em> charts that seamlessly complement your report, check no further.<\/p>\n So how does ChartExpo help you to create persuasive data narratives?<\/em><\/p>\n This budget-friendly data visualization tool <\/em>comes jam-packed with over 80 other chart templates just for YOU to select the BEST chart for your story.<\/p>\n This includes the Stacked bar, Area Stacked Bar, and Sentiment Analysis charts.<\/em><\/p>\n Besides, with ChartExpo, you have unlimited freedom to alter your charts to align with your video data stories. So you don\u2019t have to sweat over highlighting the key insights that support the main idea.<\/p>\n How do You Install the ChartExpo Add-on in Google Sheets?<\/strong><\/p>\n To Get Started install the ChartExpo for Google Sheets Add-on from the link and then follow the Simple<\/em> and Easy <\/em>Steps Below.<\/p>\n Let\u2019s check out how you can tell stories using the charts below to enhance your understanding.<\/p>\n Imagine you\u2019re running a video storytelling campaign to create awareness on behalf of a SaaS start-up. You want to gauge the performance of the video assets using the engagement level (likes and dislikes) in a year<\/p>\n Note: the likes and dislikes data can easily be collected from YouTube.<\/p>\n Let\u2019s use the data below to represent our scenario.<\/p>\n Let\u2019s tell a story using this chart.<\/em><\/p>\n How to interpret graphs and charts? Let\u2019s create a simple video data story using a Stacked Bar Chart. Imagine a musician who has many videos on YouTube playing musical instruments, such as goblets, drums, violins, keyboards, flutes, and guitars.<\/p>\n How would you keep track of the performance of each Video? You guessed right, use a Stacked Bar Chart.<\/p>\n Let\u2019s use the table below as sample data for our scenario.<\/p>\nTable of Content:<\/h3>\n
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What is Interpret Graphs and Charts?<\/h2>\n
Why Do We Interpret Charts?<\/h2>\n
How to Interpret Graphs and Charts? 5 Things to Look For<\/h2>\n
\u00a0 1. What is the topic?<\/h3>\n
\u00a0 2. How and What is being measured?<\/h3>\n
\u00a0 3. Is color-coding used, and if so, how?<\/h3>\n
\u00a0 4. Can I summarize this information in my own words?<\/h3>\n
Interpret Charts And Graphs Example<\/h2>\n
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How To Interpret Graphs And Charts For Video Analytics Data?<\/h2>\n
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Sentiment Trend Charts<\/h3>\n<\/li>\n<\/ul>\n
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Area Stacked Chart<\/h3>\n<\/li>\n<\/ul>\n
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Stacked Bar Charts<\/h3>\n<\/li>\n<\/ul>\n
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<\/div>\n<\/a><\/a><\/div>\nSteps To Interpreting Charts And Graphs<\/h2>\n
Step 1: Review the Title<\/h3>\n
Step 2: Check the Axis Labels<\/h3>\n
Step 3: Understand the Legend<\/h3>\n
Step 4: Analyze the Data Points<\/h3>\n
Step 5: Examine the Scale<\/h3>\n
Step 6: Identify Trends or Patterns<\/h3>\n
Step 7: Draw Conclusions<\/h3>\n
Best Tools For Interpreting Charts And Graphs<\/h2>\n
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<\/a><\/div>\nWhat is ChartExpo?<\/strong><\/h3>\n
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ChartExpo is Loaded with Over 80 different Chart Templates<\/h4>\n<\/li>\n<\/ul>\n
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Unlimited Freedom to Highlight Key Takeaways<\/h4>\n<\/li>\n<\/ul>\n
Other Benefits<\/strong><\/h3>\n
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How to Interpret Charts and Graphs in Google Sheets?<\/h2>\n
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Example #1<\/h3>\n
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\n Months<\/strong><\/td>\n Likes<\/strong><\/td>\n Dislikes<\/strong><\/td>\n<\/tr>\n \n Jan<\/td>\n 1605<\/td>\n 433<\/td>\n<\/tr>\n \n Feb<\/td>\n 1342<\/td>\n 229<\/td>\n<\/tr>\n \n Mar<\/td>\n 740<\/td>\n 259<\/td>\n<\/tr>\n \n Apr<\/td>\n 653<\/td>\n 127<\/td>\n<\/tr>\n \n May<\/td>\n 1933<\/td>\n 114<\/td>\n<\/tr>\n \n Jun<\/td>\n 947<\/td>\n 117<\/td>\n<\/tr>\n \n Jul<\/td>\n 1687<\/td>\n 84<\/td>\n<\/tr>\n \n Aug<\/td>\n 792<\/td>\n 99<\/td>\n<\/tr>\n \n Sep<\/td>\n 1527<\/td>\n 1038<\/td>\n<\/tr>\n \n Oct<\/td>\n 1678<\/td>\n 272<\/td>\n<\/tr>\n \n Nov<\/td>\n 1121<\/td>\n 333<\/td>\n<\/tr>\n \n Dec<\/td>\n 1555<\/td>\n 304<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \n
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Example #2<\/h3>\n
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\n Videos<\/strong><\/td>\n Views<\/strong><\/td>\n Watch Time<\/strong><\/td>\n Likes<\/strong><\/td>\n Dislikes<\/strong><\/td>\n Share<\/strong><\/td>\n<\/tr>\n \n