Master Big Data Analysis with Gigasheet: Tips for AI Data Cleanup and Custom Bins

Table of Contents

1. Introduction
2. Uploading and Cleaning Data
3. Optimizing Date Columns
4. Renaming Columns in Bulk
5. Hiding and Deleting Columns
6. Grouping Data by Day of Week
7. Creating Custom Buckets for Website Sessions
8. Finding and Replacing Typos
9. Filtering Data
10. Creating a New Column for Area Code
11. Real Analysis with the Sheet Assistant
12. Conclusion

🚀 Uploading and Cleaning Data

When working with large datasets, it's important to optimize the data for Better Insights. One way to do this is by cleaning up the data. In this case, we have purchase amounts with trailing decimals. Instead of manually rounding them, we can leverage the AIG assistant in Gigasheet to quickly round the numbers neatly.

Another issue we encounter is the format of the purchase date. It is in a time stamp format which isn't very useful for our analysis. Using Gigasheet's explode date function, we can Instantly break down the purchase date into days, months, and the specific day of the week. This gives us a better understanding of which days of the week are the best for sales.

🔄 Renaming Columns in Bulk

To make our data more organized, we can rename the new columns created by the explode date function. This is especially useful for wide files with hundreds or thousands of columns. With a quick find and rename command, we can efficiently rename the columns and keep our workspace streamlined.

👁️ Hiding and Deleting Columns

In order to maintain a clutter-free workspace, we can hide some columns that are not Relevant to our analysis. Gigasheet provides an easy way to hide columns, making it easier to focus on the data that matters. Additionally, we can use the delete Hidden columns feature to remove these columns on a mass Scale.

🗂️ Grouping Data by Day of Week

By using the group feature in Gigasheet, we can get a clearer view of transactions by the day of the week. This helps us identify Patterns and trends in our data. Grouping the data allows us to aggregate the purchase amounts and easily compare performance across different days of the week.

📊 Creating Custom Buckets for Website Sessions

Custom buckets can be a useful way to categorize data based on specific criteria. In this case, we want to create custom buckets for website sessions. Using the IF Builder in Gigasheet, we can easily categorize them as high, medium, or low based on our own rules. This allows us to analyze the data based on session performance and make informed decisions.

✏️ Finding and Replacing Typos

Typos can occur in large datasets and it's important to correct them for accurate analysis. In Gigasheet, we can use the find and replace feature to quickly locate and fix any typos. This saves time and ensures the integrity of our data.

🔍 Filtering Data

Sometimes we only need to focus on specific values in our data. Gigasheet provides a right-click trick that allows us to filter out noise and concentrate on what matters. This shortcut is particularly helpful when building complex filters and refining our analysis.

📞 Creating a New Column for Area Code

Instead of manually slicing the first three digits of the phone number column, we can use the Gigasheet assistant to handle this task. With a simple request, the assistant intelligently deduces our intention and creates a new column for the area code. This saves us time and effort.

📊 Real Analysis with the Sheet Assistant

Now that we have optimized our data and performed data cleaning tasks, we can dive into real analysis with the Gigasheet assistant. One question we can address is: which industry boasts the highest sales? By grouping the data by industry and aggregating the purchase amounts, Gigasheet provides us with a clear answer. Utilities emerge as the top-performing industry based on the analysis.

Conclusion

In this article, we have explored the powerful features of Gigasheet for big data analysis. We have learned how to upload and clean data, optimize date columns, rename columns in bulk, hide and delete columns, group data by day of the week, create custom buckets for website sessions, find and replace typos, filter data, create new columns, and perform real analysis using the Gigasheet assistant. By utilizing these features, we can extract valuable insights and make informed decisions based on our data.

Highlights

• Optimize data for better insights
• Round numbers neatly with the AIG assistant
• Break down purchase dates into days, months, and the day of the week
• Efficiently rename columns in bulk
• Hide and delete irrelevant columns
• Group data by day of the week for clearer analysis
• Create custom buckets for data categorization
• Find and replace typos quickly
• Filter data to focus on relevant values
• Use the Gigasheet assistant for real analysis

FAQ:

Q: How can I round numbers neatly in Gigasheet? A: You can use the AIG assistant command to quickly round numbers in your dataset.

Q: Can I rename multiple columns at once in Gigasheet? A: Yes, Gigasheet allows you to rename columns in bulk, making it easier to organize your data.

Q: Is it possible to hide columns in Gigasheet? A: Yes, Gigasheet provides a feature to hide columns that are not relevant to your analysis, helping to keep your workspace clutter-free.

Q: How can I group data by a specific attribute in Gigasheet? A: To group data in Gigasheet, you can use the group feature and select the attribute by which you want to group the data.

Q: Can I create custom data buckets in Gigasheet? A: Yes, you can use the IF Builder in Gigasheet to create custom buckets based on your criteria and categorize your data accordingly.