From the course: Complete Guide to Generative AI for Data Analysis and Data Science
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Solution: Missing data
From the course: Complete Guide to Generative AI for Data Analysis and Data Science
Solution: Missing data
(lively music) - [Instructor] So we're going to analyze a dataset with some missing data. So I'm going to start by attaching the data file, which I have downloaded to my local device. And for this chapter, I'm going to upload the data for this challenge, which has missing data. Now, the first thing I want to do is describe the attached dataset. So let's see what kind of data is in here. Okay, so we have sensor ID, a timestamp, a temperature in Celsius, relative humidity, and pressures in millibars. Okay, now ChatGPT is generating some descriptive statistics here. And we are seeing some information from the data frame. We're seeing the header, this is all fine. There are 600 entries, five columns. We have sensor ID, timestamp, the temperature, everything we just saw there. Ah, we do have some missing data. We have three missing values in temperature Celsius, four in relative humidity, and two in pressure in millibars. And then we also have some descriptive statistics for the…
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Data files4m 9s
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Using spreadsheets with CSV files2m 43s
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Reviewing an example JSON file4m 29s
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Using jq with JSON files6m 23s
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Generating jq commands using AI6m 1s
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Dataframes in Python8m 20s
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Loading CSV data into dataframes3m 44s
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Loading JSON into dataframes6m 17s
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Inspecting dataframes4m 12s
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Data quality and data cleansing6m 28s
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Using AI for data quality and data cleansing5m 6s
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Challenge: Missing data35s
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Solution: Missing data4m
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