When you are making a chart next time, spend just 5 minutes (or even less) on the formatting and give more time (may be 20 minutes) to think about the story.
Often we spend a lot of time fine tuning our chart formatting that we neglect the story. We fail to understand what the bars and lines mean. Most of the charts (even the real ugly ones) can be cleaned up and made presentable in a few minutes. Unless you are giving a keynote presentation about the next iPhone, I don’t think spending more time fine tuning formats is necessary. But even the simplest charts can often take hours of story-telling.
Thanks to newer and better versions of charting software, making pretty charts is an easy job. But telling compelling stories, alas, no software can match you.
Don’t confuse formatting with overall chart making process. You still need to spend sometime figuring out the right chart. That is why Jon and I have started the new chart doctor, where we take badly made charts and convert them to better charts so that it is easy to tell the story.
More naughty but very important charting lessons:
PS: The name chart doctor will be changed to something more sexier and wittier, thanks to the issue we faced. Know more from here, here, here and here.














3 Responses to “Filter one table if the value is in another table (Formula Trick)”
What about the opposite? I want a list of products without sales or customers with no orders. So I would exclude the ones that are on the other table.
Good question. You can check for the =0 as countifs result. for example,
=FILTER(orders, COUNTIFS(products, orders[Product])=0)
should work in this case.
PS: I have added this example to the article now.
Hi there!
Could i check if there was a way to return certain fields of the table only?
so based off your example above, i would like to continue to use the 'Products" table as a way to filter out items from my "Orders" table, but only want to show maybe only the "Product" and "Order Value" fields, rather than all 5 fields (sales person, customer, product, date, order value).