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Issue with Excel Power Query

Our take

In navigating the complexities of Excel Power Query, users often encounter unexpected challenges, such as duplicate entries in their results. This particular issue arises from a series of interconnected queries designed to categorize data into "Required" and "Additional" buckets. Despite a well-structured approach that includes filtering, sorting, and grouping, some entries persist as duplicates, complicating the intended outcome. This exploration aims to identify the root cause of these anomalies while emphasizing the importance of methodical verification at each step of the data transformation process.

In the world of data management, issues with tools like Excel can often lead to significant challenges for users who rely on them for critical decision-making processes. A recent inquiry about duplicates arising in a complex Power Query setup highlights the intricacies many face when navigating the depths of Excel’s capabilities. The user outlines a series of queries aimed at categorizing and filtering data, ultimately leading to an unexpected occurrence of duplicates where none should exist. This scenario underscores the delicate balance required when working with data transformations and the need for a deeper understanding of Excel’s functionality. For those grappling with similar challenges, articles like How to deal with a bulky spreadsheet that is starting to hit the limits of Excel? can provide valuable insights on optimizing Excel workflows.

The user’s approach to breaking down each step in the query process reflects a commitment to transparency and troubleshooting. By validating each stage and ensuring that filters and sorts function as intended, they demonstrate an important principle of data management: the necessity of iterative testing. However, the emergence of duplicates points to a potential oversight in the logic applied during the merging and grouping phases. This situation emphasizes that even minor discrepancies in query design can lead to significant ramifications in the accuracy of data outputs. Understanding how to effectively manage these queries not only improves the integrity of the results but also enhances productivity, as users can trust that their data reflects the true state of affairs.

Moreover, the reliance on Excel for complex data manipulations illustrates a broader trend in the data management landscape. Although Excel remains a powerful tool, it is essential for users to recognize its limitations, especially as data requirements grow more sophisticated. As seen in this case, users may encounter bottlenecks or unexpected behaviors that challenge their workflows. For those interested in exploring more innovative solutions to data management, transitioning to AI-native spreadsheet technologies could be a transformative step. These solutions often offer more intuitive interfaces and advanced capabilities that can simplify complex tasks, thereby reducing the likelihood of errors and enhancing overall efficiency.

Looking ahead, the question arises: how can we harness emerging technologies to overcome the limitations of traditional spreadsheet tools? As users continue to seek more efficient and effective means of data management, the exploration of AI-driven solutions could pave the way for a future where data handling becomes not only simpler but also more reliable. By embracing these advancements, users can shift their focus from troubleshooting issues to leveraging data for strategic insights. As we navigate this evolving landscape, it will be critical to keep an eye on how technology can empower users to unlock the full potential of their data without the frustrations that often accompany conventional tools.

In my excel workbook I have a long string of queries to get the results I want, however I am noticing a small number of duplicates that SHOULDNT be able to exist.

In my first query in this string, I am adding a new column (SelectionBucket), based on two other columns - Works. Then taking this SelectionBucket column, and adding another column (IsRequiredBucket) based on [SelectionBucket] returning one of the required values - Works. I then am adding an index at this time (CourseIndex) - Works.

Result: Courses have Index, and SelectionBucket and IsRequiredBucket as options.

Q2 (Reference to Q1): Adding Column (IsRequiredCandidate) where [IsRequiredBucket] = True - Works.
Filters out to ONLY true values next, and sorted on (Name) (Ascending), (SelectionBucket) (Ascending), (EMark) (Decending) - Works.

Result: Filtering down to only RequiredBuckets, sorted by Best to Worst.

Q3 (Reference Q2): I group the rows based on (Name) and (SelectionBucket), call it [AllRows]. Add Column (TopRequired) with Table.FirstN(Table.Sort([AllRows], {{"EMark",Order.Descending}}),1) to return the BEST value - Works. Expand the [TopRequired] Table, excluding Name and SelectionBucket - Works. Add column (SelectionType) = "Required"

This is where I am not sure if it is working or not, because for 99% of my data, this works. But for some of the entries, this isn't working.

Add one more column (IsRequiredSelected) to check (SelectionType), if "Required" = TRUE.

Result should be: Selection of one result for each of the buckets available per entry, and setting its (IsRequiredSelected) value to TRUE.

Q4 (Reference Q1): I merge Q4(which is just Q1), to Q3, matching on (CourseIndex), Expand the merge (SelectionType). Rename (SelectionType) to (RequiredTag). Add column (IsRequiredSelected) checking [RequiredTag] to return TRUE for "Required", FALSE otherwise.

Q5 (Reference Q4): Add Column (IsAdditionalCandidate) checking [IsRequiredSelected] = FALSE. Filter (IsAdditionalCandidate) for only TRUE values. Sort by (Name) (Ascending), (EMark) (Descending).

Result: Check if (IsRequiredSelected) = TRUE and clearing them out.

Q6 (Reference Q5): Group by Name -> [AllRows] with operation of All Rows. Add column (TopAdditional) coded =Table.FirstN(Table.Sort([AllRows], {{"EMark",Order.Descending}}),7). Expand the table [TopAdditional] excluding (Name). Add column (SelectionType) = "Additional"

Result: Taking only records that are marked as "Additional" and taking the best 7 results for each (Name).

Q7 is an appended query of combining Q3 and Q6, where it should take the Q3 Results, and adds the Q6 results to it, which should result in NO duplicates.

Issue: I am receiving some of my entries as a duplicate through a query check, where I see the one record as both an Additional and as a Required. I am not sure WHY or where it is broken, other than where I think it is...

I realize I could have done this in less Queries, however I wanted to verify along each step of the way if something went wrong, so that I could fix it as a portion, instead of having to delete and re-write everything.

Please note that I CANNOT share the excel file data itself, as it contains confidential information within it. If I haven't explained a step clearly enough, please let me know and I will try to add further information on it.

submitted by /u/DLCamilla
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