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Need to visualize your data? We've created this new Ultimate Charts (Part 3) spreadsheet template in Excel and Google Sheets that you can download and customize to your needs. It includes customizable marimekko charts to visualize resource allocation or a product portfolio, bubble charts to analyze market size and sales revenue, Pareto charts to assess productivity and customer feedback, box and whisker charts for stock analysis, vertical bar charts to visualize changes over time, and histogram charts to visualize the distribution of numbers, unique values, and date ranges.

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50 questions and answers
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These charts can be used in project management in various ways. Marimekko charts can be used to visualize resource allocation or a product portfolio. Bubble charts can be used to analyze market size and sales revenue. Pareto charts can be used to assess productivity and customer feedback. Box and whisker charts can be used for stock analysis. Vertical bar charts can be used to visualize changes over time. Histogram charts can be used to visualize the distribution of numbers, unique values, and date ranges.

There are several ways to analyze customer feedback. You can use sentiment analysis to understand the emotions behind the feedback. Text analytics can be used to identify common themes or topics. You can also use customer feedback to create a Net Promoter Score (NPS) which measures customer loyalty. Additionally, you can use customer journey mapping to understand the overall experience of your customers. Finally, you can use data visualization tools to identify trends and patterns in the feedback.

These charts can be used in financial analysis in various ways. Marimekko charts can be used to visualize resource allocation or a product portfolio. Bubble charts can be used to analyze market size and sales revenue. Pareto charts can be used to assess productivity and customer feedback. Box and whisker charts can be used for stock analysis. Vertical bar charts can be used to visualize changes over time. Histogram charts can be used to visualize the distribution of numbers, unique values, and date ranges.

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Histogram charts

First up is the Histogram charts. There are nine unique histograms in this spreadsheet; three to assess the distribution of a text and a numeric… Three to assess the distribution of two text values… and three to assess the distribution of a text and date value.

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Say you're a scientist, and you have a list of data that involves a specific gender and height. The first three histograms visualize the count of each height by gender, the distribution of the two genders, or the distribution of all the heights. But remember: these inputs can be customized to anything you want; say you run a warehouse, and you want to organize related parts by their respective sizes; delete the inputs in blue, and replace them with your specifications. Histograms work by separating data into groupings called bins. Here, we provide a simple filter to decide how to slice the data.

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Key considerations when deciding how to slice data in a histogram include understanding the nature of the data, the distribution of the data, and the specific information you want to extract from the data. It's also important to consider the size and range of the bins, as these can significantly impact the visualization and interpretation of the data.

Apart from the standard method of slicing data in histograms by separating them into bins, you can also customize the inputs to slice data based on specific criteria. For instance, in a warehouse setting, you could organize parts by their respective sizes. Additionally, you can use filters to decide how to slice the data.

Histograms can be used to visualize the count of each height by gender by separating the data into groupings called bins. Each bin represents a range of heights, and the count of individuals within each bin is represented by the height of the bar. This allows for a visual representation of the distribution of heights within each gender.

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All you have to do is define how many bins you want to see, and the charts will slice the data into the appropriate groupings. Note: keep in mind that these histogram charts only support up to twenty unique text values.

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Now say you have a list of values - like you have a list of data of genders and eye color, and you want to find the distribution of each unique eye color by each gender. The histograms divide the data into bins based on the number of unique.

Vertical bar charts

Next up are Vertical bar charts. These two sample datasets track salary changes over two years across both organization types and roles, as well as changes in Market Share from year to year for multiple product types as selected by the filters.

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As you can see, two products and their respective market share gain can be compared against one another in the vertical bars charts. Remember - this data can be fully customized to match your specific use case.

Pareto charts

Next up are Pareto charts, which get their name from the Pareto principle, which states that for many outcomes, 80% of the consequences stem from 20% of the causes. This is a prioritization tool to help identify the most important next step. In the sample datasets, we have a customer feedback Pareto analysis that counts the occurrences of different reasons customers unsubscribe, and a productivity Pareto analysis that counts the number of monthly bottlenecks that interrupt company productivity.

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48 questions and answers
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Pareto charts can be used in strategic planning in various ways. They can help identify the most significant factors in a set of data. For instance, they can be used to prioritize problems or causes in order to take corrective action. They can also be used to highlight the most important factors in a process, project, or product. This can help in focusing on areas that could provide the greatest improvement. They can also be used to compare the before and after effects of changes made in a process or system.

Pareto charts can be used in various ways for process improvement. They can be used to identify and prioritize problem areas in a process, as they visually display which factors are more significant. They can also be used to analyze data collected from different sources to identify patterns of problems or areas for improvement. Additionally, Pareto charts can be used to monitor the effectiveness of process improvement measures by tracking changes in the relative frequency of identified issues over time.

Pareto charts can be used in various ways for problem-solving. They can be used to identify the most common sources of defects, the highest occurring type of defect, or the most frequent reasons for customer complaints. They can also be used to identify the most significant overall factor in a set of data. Other uses include analyzing data collected from different sources to see patterns of similarity and difference, and identifying opportunities for improvement.

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Box and whisker charts

Another uncommon but helpful chart type is the Box and whisker chart. Also referred to as "stock charts," these sample datasets track the volume, open, high, low, and close of a given stock over time, but remember, these charts are meant to be fully customized to your needs.

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Bubble charts

Next up are Bubble charts, with sample datasets to track revenue by number of years in the market of multiple companies, as well as the percent of profitability by sales for a series of products and regions. For these or any of the previous charts in this template, if you need more rows to enter more data, add new rows above the gray borderline.

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48 questions and answers
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There are several ways to visualize data for a series of products and regions. Some of these include using bar charts, pie charts, line graphs, scatter plots, heat maps, and geographic maps. Each of these can provide a unique perspective on the data, and the best choice often depends on the specific details of the data set and the questions you are trying to answer.

There are several ways to visualize data for a series of products and regions. Some of these include bar charts, pie charts, line graphs, scatter plots, heat maps, and geographic maps. Each of these can provide different insights and can be useful depending on the specific data and the information you want to convey.

There are several ways to visualize data for a series of products and regions. Some of these include bar graphs, pie charts, line graphs, scatter plots, heat maps, and geographic maps. Each of these can provide different insights and can be useful depending on the specific data and the information you want to convey.

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Marimekko charts

Finally, similar to stacked bar charts are Marimekko charts, also known as "mekko charts," to track both resource allocation by store locations over time, and the breakdown of a product portfolio's sales by each product across multiple regions.

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Marimekko charts like these can compare values, measure each one's composition, and show the distribution across multiple dimensions. Unlike other charts in this dataset, these charts support up to ten rows of unique entries.

Charts are the lifeblood of data visualization and analysis - without them, insights become much harder to dissect. To use all these charts today, you can download and customize this Ultimate Charts (Part 3) spreadsheet template in Microsoft Excel or Google sheets right now. After that, go check out our Pricing Strategies spreadsheet template for more charts to help you visualize your analysis as you price your next product.

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