How many charts are displayed depending on the Tier purchased ?

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Jack_ChartPixel · Answer

The number of charts is independent of the tier. Generally, uploading a dataset that has several columns (and a good amount of rows) will produce 20–30 recommended charts that you will initially see in the recommended chart gallery when opening the project. You will get better charts if the columns have furthermore a good mix of different types, such as, categorical columns, numerical columns, booleans, dates, comments, and so on.\u000a\u000aIn addition to that, you can create as many new charts as you wish using the data exploration mode. In this mode, you can select up to any three columns, and all relevant charts are being created from your particular selection that you can browse through. Any chart that is created using the exploration mode can also be saved, downloaded, or edited at a later stage.\u000a\u000aA larger dataset with 10 or more columns with mixed numerical types, text, comments, and so on will commonly produce thousands of charts. However, you will still see only 20–30 charts that are displayed in the recommended chart gallery, although they will have a higher overall quality and better insights since naturally there will be a larger pool that they have been drawn from.\u000a\u000aOn the other hand, if you drop only two or a few columns, you may sometimes still get a decent number of charts in the recommended chart gallery (even some very poor charts). They will be usually ordered by their insight quality. The reason for this exception is that many first\u002Dtime users test our product with a low number of columns and rows first, or use some madeup data, and then become surprised that they don\u0027t see any charts when actually there are no correlations or patterns in the data that would support some robust charts and reasonable insights. Hence, we always recommend uploading data with a sufficient number of columns and rows.\u000a\u000aSomone once told me that ChartPixel seems like a \u0022Porsche\u0022 and you need to take it out for a test ride on an \u0022Autobahn\u0022, instead of letting it in the garage and just revving up the engines. It works its engines more efficiently when uploading real data with a decent number of columns in tabular format. 😃

Jack_ChartPixel · Answer

The number of charts is independent of the tier. Generally, uploading a dataset that has several columns (and a good amount of rows) will produce 20–30 recommended charts that you will initially see in the recommended chart gallery when opening the project. You will get better charts if the columns have furthermore a good mix of different types, such as, categorical columns, numerical columns, booleans, dates, comments, and so on.\u000a\u000aIn addition to that, you can create as many new charts as you wish using the data exploration mode. In this mode, you can select up to any three columns, and all relevant charts are being created from your particular selection that you can browse through. Any chart that is created using the exploration mode can also be saved, downloaded, or edited at a later stage.\u000a\u000aA larger dataset with 10 or more columns with mixed numerical types, text, comments, and so on will commonly produce thousands of charts. However, you will still see only 20–30 charts that are displayed in the recommended chart gallery, although they will have a higher overall quality and better insights since naturally there will be a larger pool that they have been drawn from.\u000a\u000aOn the other hand, if you drop only two or a few columns, you may sometimes still get a decent number of charts in the recommended chart gallery (even some very poor charts). They will be usually ordered by their insight quality. The reason for this exception is that many first\u002Dtime users test our product with a low number of columns and rows first, or use some madeup data, and then become surprised that they don\u0027t see any charts when actually there are no correlations or patterns in the data that would support some robust charts and reasonable insights. Hence, we always recommend uploading data with a sufficient number of columns and rows.\u000a\u000aSomeone once told me that ChartPixel is like a \u0022Porsche\u0022 that you need to take out for a test ride on a real \u0022Autobahn\u0022 \u002D instead of holding it in a garage and only revving up its engines. It works considerably more efficient and produces better charts and analysis options when uploading tabular data and a decent number of columns and rows. :\u002D)

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