In 2023, finding the culprit took serious #PowerQuery work plus manual creation of #PivotCharts linked with slicers.🧵
In 2023, finding the culprit took serious #PowerQuery work plus manual creation of #PivotCharts linked with slicers.🧵
Do join me!
Do join me!
(Which are part of Excel.)
(Which are part of Excel.)
I offered practical workarounds:
🟢 Layer separate combo and line charts, OR
🟢 Try driving the chart from #DynamicArrays so it works off formulas.
I offered practical workarounds:
🟢 Layer separate combo and line charts, OR
🟢 Try driving the chart from #DynamicArrays so it works off formulas.
Ken offered practical workarounds:
You can ayer separate combo and line charts (one with a transparent background) together, OR
Ken offered practical workarounds:
You can ayer separate combo and line charts (one with a transparent background) together, OR
(PivotCharts are nonbinary bc I like them)
(PivotCharts are nonbinary bc I like them)
To keep things transparent, I opted to stick to our company's official language of Microsoft Excel and PowerPoint.
Graphs and PivotCharts from CSVs loaded by Power Query.
To keep things transparent, I opted to stick to our company's official language of Microsoft Excel and PowerPoint.
Graphs and PivotCharts from CSVs loaded by Power Query.
That’s where PivotCharts come in, helping you visualise your data clearly and instantly.
Here’s how to create and customise one in Excel: www.accountingcpd.net/Creating_a_P...
#ExcelTips #Accounting
That’s where PivotCharts come in, helping you visualise your data clearly and instantly.
Here’s how to create and customise one in Excel: www.accountingcpd.net/Creating_a_P...
#ExcelTips #Accounting
Turn analysis into action.
Link: leanpub.com/datavisualiz...
#books #ebooks #newreleases
Turn analysis into action.
Link: leanpub.com/datavisualiz...
#books #ebooks #newreleases
#PivotCharts #unusual #music #Spotify #playlist
#PivotCharts #unusual #music #Spotify #playlist
Aber Pivot und Pivotcharts sind top, und seit ich nur noch Google Sheets habe, vermisse ich Excel.
Aber Pivot und Pivotcharts sind top, und seit ich nur noch Google Sheets habe, vermisse ich Excel.
Happy weekend! 🎉
Happy weekend! 🎉
Tip: load PQ output into a Table (Ctrl+T) so PivotCharts auto-expand with new data.
Tip: load PQ output into a Table (Ctrl+T) so PivotCharts auto-expand with new data.
Here's one way to think of the stops on an Excel data analysis journey:
1 - Microsoft Excel is very powerful.
With the right techniques (e.g., PivotTable and PivotCharts), it might be all the tool you need.
Here's one way to think of the stops on an Excel data analysis journey:
1 - Microsoft Excel is very powerful.
With the right techniques (e.g., PivotTable and PivotCharts), it might be all the tool you need.
Excel's PivotCharts are one of my go-to ways to analyze data.
I mostly use PivotTables to feed my PivotCharts.
You should, too.
Excel's PivotCharts are one of my go-to ways to analyze data.
I mostly use PivotTables to feed my PivotCharts.
You should, too.
For many professionals, it can be all the analytical tooling they need.
For example, Excel is a wonderful tool for visually analyzing data (e.g., PivotCharts).
For many professionals, it can be all the analytical tooling they need.
For example, Excel is a wonderful tool for visually analyzing data (e.g., PivotCharts).
Humans are visual creatures, and we can use this to analyze data.
The best use of PivotTables is to create PivotCharts.
For example, bar charts that use three or more columns of data.
It's way more powerful than a PivotTable.
Humans are visual creatures, and we can use this to analyze data.
The best use of PivotTables is to create PivotCharts.
For example, bar charts that use three or more columns of data.
It's way more powerful than a PivotTable.
Bar charts are the go-to visual for categorical data.
But, most professionals don't create them with multiple columns.
Excel PivotCharts are great for this.
Plotnine with Python in Excel is even better.
Be sure to explore related columns and see what pops.
Bar charts are the go-to visual for categorical data.
But, most professionals don't create them with multiple columns.
Excel PivotCharts are great for this.
Plotnine with Python in Excel is even better.
Be sure to explore related columns and see what pops.
Visualizations are more powerful when you use multiple columns (dimensions) at the same time.
Excel PivotCharts can create these visualizations.
Also, Python in Excel has plotnine, the best way to make these visualizations.
Visualizations are more powerful when you use multiple columns (dimensions) at the same time.
Excel PivotCharts can create these visualizations.
Also, Python in Excel has plotnine, the best way to make these visualizations.
Here's why:
- Just about every professional has it.
- Excel supports many visualizations.
- PivotCharts are fantastic.
- Python in Excel.
Even in 2025, you can't go wrong learning to analyze data with Microsoft Excel visually.
So what to learn?
Here's why:
- Just about every professional has it.
- Excel supports many visualizations.
- PivotCharts are fantastic.
- Python in Excel.
Even in 2025, you can't go wrong learning to analyze data with Microsoft Excel visually.
So what to learn?