Notice that there are several columns with NaN. If you try to sum the column up, you’ll get 6 billion - that’s probably because there are quite a lot of overlaps. You’ll still need to take care of some parameters in read_csv().ĭefinition of fnlwgt isn’t very clear - my interpretation is that it’s an approximation of the number of people in the US that have similar demographic info as described by that row.
#Xlminer analysis toolpak goal seek manual
You should be able to complete the two problems by yourself.įor the bonus problem, here are the column names of the UCI dataset to spare you from some manual entry:
![xlminer analysis toolpak goal seek xlminer analysis toolpak goal seek](https://www.xda-developers.com/files/2021/08/searchminer-1024x684.jpg)
You can see the file in Panda’s GitHub repository That’s just how the Pandas developers organised their code. What exactly does class '' mean when you type type(df)?ĭataFrame is a class defined in a file called frame.py in a folder named core which is in a folder named pandas. iloc, but if performance is really an issue you should stick to Numpy - df is generally much slower. The former doesn’t work with column name with spaces. canteens_df.name) or columns ( canteens_df.iat). You might chance upon other ways of accessing rows (e.g. Stick with the way information is accessed, i.e. Cast) and click Inspect to look at the code. When importing HTML tables into df, why are there NaNs? Open the link and right click on any tables (e.g. Do check out dataclass, but it’s relatively new and not that widely used yet (you might need to know OOP to fully appreciate it too).Īll the data imports in the notebook works well and loads into the df nicely, but real life data is more problematic than this! We’ll see more examples along the way. List-like objects include tuples and sets. It only accepts lists, dictionaries, pd.Series, np.array. If data is a dict, column order follows insertion-order. Series, arrays, constants, dataclass or list-like objects. Look at the documentation for pd.DataFrame(data) to better understand what it can / cannot do.
![xlminer analysis toolpak goal seek xlminer analysis toolpak goal seek](https://static1.makeuseofimages.com/wordpress/wp-content/uploads/2017/12/t-test-analysis-tools.png)
In the text below, df refers to any arbitrary DataFrame. (Hint: this is written using Markdown - you can either check out the GitHub repo or view source) Lab 1 It goes beyond what’s covered in the lab manual, but these are additional questions you should think about. Here are some additional resources that builds on top of the lab materials. TA for labs on introduction to DS and AI, taught via Python