Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
let
Source = Table.Combine({
Table.FromRows(
{{
List.Dates( #date(2022,8, 1), Number.From(DateTime.Date(DateTime.LocalNow())- #date(2022, 7, 31)) , #duration(1, 0, 0, 0)),
Splitter.SplitByNothing(), {"Date"}, null, ExtraValues.Error,"Investor A",-10000,0.10}},
{"Date", "Investment Company","Initial Value","Percentage"}
),
Table.FromRows(
{{"8/1/2022","Investor B",-5000,0.05}},
{"Date", "Investment Company","Initial Value","Percentage"}
),
Table.FromRows(
{{"8/1/2022","Investor C",-15000,0.15}},
{"Date", "Investment Company","Initial Value","Percentage"}
),
Table.FromRows(
{{"8/1/2022","Investor D",-10000,0.10}},
{"Date", "Investment Company","Initial Value","Percentage"}
),
Table.FromRows(
{{"9/1/2022","Investor E",-20000,0.2}},
{"Date", "Investment Company","Initial Value","Percentage"}
)
}),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Investment Company", type text}, {"Initial Value", Currency.Type}, {"Percentage", Percentage.Type}})
in
#"Changed Type"
i tried to make a code that lists date and i want the same value so for example i nvestor A to always have 10,000 on initial value, 0.1 on percentage
because i want to createa relationship between table and date table
Solved! Go to Solution.
Hi @Anonymous ,
According to your M code, I think first part for investor A will return 8 values, however there are only four keys in your table.
{{
List.Dates( #date(2022,8, 1), Number.From(DateTime.Date(DateTime.LocalNow())- #date(2022, 7, 31)) , #duration(1, 0, 0, 0)),
Splitter.SplitByNothing(), {"Date"}, null, ExtraValues.Error,"Investor A",-10000,0.10}}
Here I suggest you to try this M code to achieve your goal.
let
Source = Table.Combine({
Table.FromRows(
{{
List.Dates( #date(2022,8, 1), Number.From(DateTime.Date(DateTime.LocalNow())- #date(2022, 7, 31)) , #duration(1, 0, 0, 0)),
"Investor A",-10000,0.10}},
{"Date", "Investment Company","Initial Value","Percentage"}
)
}),
#"Expanded Date" = Table.ExpandListColumn(Source, "Date"),
#"Combine" =
Table.Combine({
#"Expanded Date",
Table.FromRows(
{{"8/1/2022","Investor B",-5000,0.05}},
{"Date", "Investment Company","Initial Value","Percentage"}
),
Table.FromRows(
{{"8/1/2022","Investor C",-15000,0.15}},
{"Date", "Investment Company","Initial Value","Percentage"}
),
Table.FromRows(
{{"8/1/2022","Investor D",-10000,0.10}},
{"Date", "Investment Company","Initial Value","Percentage"}
),
Table.FromRows(
{{"9/1/2022","Investor E",-20000,0.2}},
{"Date", "Investment Company","Initial Value","Percentage"}
)
}),
#"Changed Type" = Table.TransformColumnTypes(Combine,{{"Date", type date}, {"Investment Company", type text}, {"Initial Value", Int64.Type}, {"Percentage", Percentage.Type}})
in
#"Changed Type"
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @Anonymous ,
According to your M code, I think first part for investor A will return 8 values, however there are only four keys in your table.
{{
List.Dates( #date(2022,8, 1), Number.From(DateTime.Date(DateTime.LocalNow())- #date(2022, 7, 31)) , #duration(1, 0, 0, 0)),
Splitter.SplitByNothing(), {"Date"}, null, ExtraValues.Error,"Investor A",-10000,0.10}}
Here I suggest you to try this M code to achieve your goal.
let
Source = Table.Combine({
Table.FromRows(
{{
List.Dates( #date(2022,8, 1), Number.From(DateTime.Date(DateTime.LocalNow())- #date(2022, 7, 31)) , #duration(1, 0, 0, 0)),
"Investor A",-10000,0.10}},
{"Date", "Investment Company","Initial Value","Percentage"}
)
}),
#"Expanded Date" = Table.ExpandListColumn(Source, "Date"),
#"Combine" =
Table.Combine({
#"Expanded Date",
Table.FromRows(
{{"8/1/2022","Investor B",-5000,0.05}},
{"Date", "Investment Company","Initial Value","Percentage"}
),
Table.FromRows(
{{"8/1/2022","Investor C",-15000,0.15}},
{"Date", "Investment Company","Initial Value","Percentage"}
),
Table.FromRows(
{{"8/1/2022","Investor D",-10000,0.10}},
{"Date", "Investment Company","Initial Value","Percentage"}
),
Table.FromRows(
{{"9/1/2022","Investor E",-20000,0.2}},
{"Date", "Investment Company","Initial Value","Percentage"}
)
}),
#"Changed Type" = Table.TransformColumnTypes(Combine,{{"Date", type date}, {"Investment Company", type text}, {"Initial Value", Int64.Type}, {"Percentage", Percentage.Type}})
in
#"Changed Type"
Result is as below.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
10 | |
9 | |
8 | |
8 | |
7 |
User | Count |
---|---|
14 | |
12 | |
11 | |
10 | |
8 |