- Functions
- Macros and VBA
- Microsoft Flow
- Other tutorials
- Pivot tables
- Power BI
- Power BI – use cases
- Power Pivot
- Power Query – Get and Transform
- Power Query M language
- Power View
- Powerbi.com and Power BI Desktop
- Data Model in Power BI
- DAX – query language for Power BI and Power Pivot
- % of parent row in Power BI
- CALCULATE – “merging” of other functions (DAX – Power Pivot, Power BI)
- CALENDARAUTO – create the time dimension automatically (DAX – Power Pivot, Power BI)
- CONCATENATEX (DAX – Power Pivot, Power BI)
- CONTAINSSTRING, CONTAINSSTRINGEXACT – finds text string in another text string (DAX – Power Pivot, Power BI)
- CROSSJOIN – all combinations of two lists (DAX – Power Pivot, Power BI)
- DATATABLE – create your data directly in Data Model with no connection (DAX – Power Pivot, Power BI)
- DATEADD – values for some period shifted in time by a year, quarter or day (DAX – Power Pivot, Power BI)
- DATEDIFF – difference between two dates or times in units you need
- DATESMTD, DATESQTD, DATESYTD – dates from the beginning of month / quarter / year (DAX – Power Pivot, Power BI)
- DISTINCT (DAX – Power Pivot, Power BI)
- DIVIDE – division handling zero (DAX – Power Pivot, Power BI)
- EXCEPT – comparison of tables – finding of additional rows (DAX – Power Pivot, Power BI)
- FILTER – filters in DAX (DAX – Power Pivot, Power BI)
- Fundamental difference between DATEADD a PARALLELPERIOD functions (DAX – Power Pivot, Power BI)
- GROUPBY – aggregations in data model using DAX (DAX – Power Pivot, Power BI)
- IF – simple condition (DAX – Power Pivot, Power BI)
- IN – operator recognizing presence in a list of values (DAX – Power Pivot, Power BI)
- INTERSECT – finding of common rows in two tables (DAX – Power Pivot, Power BI)
- LOOKUPVALUE – assigning of values from other table without relation (DAX – Power Pivot, Power BI)
- MIN, MAX – highest and smallest values in range (DAX – Power Pivot and Power BI)
- NATURALINNERJOIN – creates new table from common rows of two tables
- NATURALLEFTOUTERJOIN – new table using left outer join (DAX – Power Pivot, Power BI)
- NEXTDAY, NEXTMONTH, NEXTQUARTER, NEXTYEAR, PREVIOUSDAY, PREVIOUSMONTH, PREVIOUSQUARTER, PREVIOUSYEAR – values from previous or next time period (DAX – Power Pivot, Power BI)
- Number of unique rows – by multiple columns
- PARALLELPERIOD – travelling in time (DAX – Power Pivot, Power BI)
- PATH, PATHLENGTH, PATHITEM, PATHITEMREVERSE, PATHCONTAINS – playing whith hierarchies (DAX – Power Pivot, Power BI)
- Pearson correlation coefficient in Power BI
- Playing with SAMEPERIODLASTYEAR and TOTALYTD functions
- RANK.EQ – determine the order of value in some column (DAX – Power Pivot, Power BI)
- RELATED (DAX – Power Pivot, Power BI)
- RELATEDTABLE – assigning of table connected by relation (DAX – Power Pivot, Power BI)
- ROUND, ROUNDUP, ROUNDDOWN, MROUND – rounding functions (DAX – Power Pivot, Power BI)
- Running totals simply (DAX – Power Pivot, Power BI)
- SAMEPERIODLASTYEAR – comparison with previous year (DAX – Power Pivot, Power BI)
- SELECTCOLUMNS – select some columns from table (DAX – Power Pivot, Power BI)
- SUMMARIZE – groupping in data models (DAX – Power Pivot, Power BI)
- SUMX – summary with filter or additional calculation (DAX – Power Pivot, Power BI)
- SUMX vs SUM – key differences very briefly (DAX – Power Pivot, Power BI)
- TOPN – first N rows from table (DAX – Power Pivot, Power BI)
- TOTALYTD, TOTALQTD, TOTALMTD – cumulative subtotals in time (DAX – PowerPivot, Power BI)
- TREATAS – simple calculation using “non existent” relations (DAX – Power Pivot, Power BI)
- UNION – appending of multiple tables in DAX (DAX – Power Pivot, Power BI)
- Use of SAMEPERIODLASTYEAR (or similar DAX functions) together with filters and slicers
- USERPRINCIPALNAME – show user name and use it in RLS (DAX – Power Pivot, Power BI)
- Variables in DAX
- Power BI – first steps
- Power BI – publishing
- Power BI charts and visualization
- Power Query in Power BI
- Show source rows in Power BI
- PowerApps
- R script
- SAP Analytics Cloud
- Statistics and more complex data analysis
