Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
I have unstructured data consist of three excel sheet
Text contents of 3 tables some how related to each other.
But there is no linear direct relationship between them e.g First row of table 1 is not related to first row of table 2 and first row of table 3 although they sharing same numeric and letter key but may be there is relationship between First row of table 1, second row of table 2 and first row of table 3. so table 1 is related to both table 2 and table 3 via sharing common numeric key and letter key but not in orderly way.
You can consider Table 1 as questions table each row is individual question and Table 2 is Responses from one group of people and table 2 is response from other group of people. But in collected responses some people did not reply the answers orderly way . for example they Gave answer of first question then skip the answer of second, third and wrote answer of fourth one. all of data was collected on paper. so they just place bullet points in front of answers without specify the the answer belong to what number of question.
I have to figure out some insight from data, so what kind of data analysis orapproach should I use to analysis this unstructured data with power BI. What kind of other AZURE machine learning analysis i can use with Power BI to figure some insights from this data.
Thanks
Hi gillgs,
Which kind of data model and insight do you want to achieve? In addtion, to implement data clean or to use machine learning algorithm, you can use R script. Also, here is azure machine learning algorithms for your reference: https://docs.microsoft.com/en-us/azure/machine-learning/studio/algorithm-choice
Regards,
Jimmy Tao
Don't know if this will work,
You can do a cross join on 3 tables with both Numeric key and letter key then you will get all possible combinations then put some conditions that will eliminate rest of records.
Thanks
Hi 🙂
But if i do cross join then may it eliminate the rows that have actual relationships and join the rows of three tables that have no realtionship at all. i also edited my original question for more details. Please check, i think without machine learning tool from azure it is not possible to figure out the right insights
Thanks for Reply
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
113 | |
97 | |
85 | |
70 | |
61 |
User | Count |
---|---|
151 | |
121 | |
104 | |
87 | |
67 |