Forum Discussion
GlitterL
4 years agoFrequent Visitor
Multiple populated Matrix - for power bi desktop or report builder
Hey hey,
I am new to PB, and I'm a bit stuck,
I have this data with different categories, see example below (as I cannot provide the real data due to privacy)
| Date | Category | Link | Colour | Data |
May 2022 | car | car_red | red | 5 |
| April 2020 | bus | bus_red | red | 15 |
| May 2022 | car | car_blue | blue | 2 |
| June 2021 | taxi | taxi_red | red | 1 |
| June 2021 | car | car_red | red | 7 |
I want each Category to populate its own matrix like below, with the header being the category:
{(Header) = Category} - Car
| Red | Blue | |
| May 2022 | 5 | 2 |
| June 2021 | 7 |
{(Header) = Category} - Bus
| Red | Blue | |
| April 2020 | 15 |
{(Header) = Category} - Taxi
| Red | Blue | |
| June 2021 | 1 |
Please assist me and indicate if this is possible, I need to create paginated reports and each category needs to be on a single page
Hi GlitterL,
Something like this(uing Pivot Column on the Transform menu tab)?
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8k2s1DUyUtJRSk4sgpDxRakpQBaENFWK1YlWciwo0jUyAHKTSoshJIoiQ4gqLEYl5ZSmgjRAKCOwMq/SPF0jQyC3JLEiE0qhGoeqDLvDzGGKUhWMDIgzDq4Sp4mxAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Category = _t, Link = _t, Colour = _t, Data = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Category", type text}, {"Link", type text}, {"Colour", type text}, {"Data", Int64.Type}}), #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Colour]), "Colour", "Data", List.Sum), #"Filtered Rows" = Table.SelectRows(#"Pivoted Column", each ([Category] = "bus")) in #"Filtered Rows"Kind regards,
John
1 Reply
- jbwtp
Memorable Member
Hi GlitterL,
Something like this(uing Pivot Column on the Transform menu tab)?
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8k2s1DUyUtJRSk4sgpDxRakpQBaENFWK1YlWciwo0jUyAHKTSoshJIoiQ4gqLEYl5ZSmgjRAKCOwMq/SPF0jQyC3JLEiE0qhGoeqDLvDzGGKUhWMDIgzDq4Sp4mxAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Category = _t, Link = _t, Colour = _t, Data = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Category", type text}, {"Link", type text}, {"Colour", type text}, {"Data", Int64.Type}}), #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Colour]), "Colour", "Data", List.Sum), #"Filtered Rows" = Table.SelectRows(#"Pivoted Column", each ([Category] = "bus")) in #"Filtered Rows"Kind regards,
John