|
5 | 5 | "id": "58f1cebe-9313-47be-91a7-a292c721fa70", |
6 | 6 | "metadata": {}, |
7 | 7 | "source": [ |
8 | | - "**Installing the libraries.**" |
| 8 | + "# Installing the libraries" |
9 | 9 | ] |
10 | 10 | }, |
11 | 11 | { |
|
37 | 37 | "id": "809281a1-0122-4332-b39e-7603e11d1f62", |
38 | 38 | "metadata": {}, |
39 | 39 | "source": [ |
40 | | - "**Reading the data.**" |
| 40 | + "# Reading the data" |
41 | 41 | ] |
42 | 42 | }, |
43 | 43 | { |
|
245 | 245 | "id": "6ef0b664-c295-41d2-89c2-33086caee992", |
246 | 246 | "metadata": {}, |
247 | 247 | "source": [ |
248 | | - "**Creating your first pivot table.**" |
| 248 | + "# How to create your first pivot table with pandas" |
249 | 249 | ] |
250 | 250 | }, |
251 | 251 | { |
|
505 | 505 | "id": "5e91d372-b055-4447-a8f8-fe07962867a6", |
506 | 506 | "metadata": {}, |
507 | 507 | "source": [ |
508 | | - "**Including sub-sub columns within your pivot table**" |
| 508 | + "# Including sub-columns In your pivot table" |
509 | 509 | ] |
510 | 510 | }, |
511 | 511 | { |
|
932 | 932 | "id": "5479b18f-1817-4578-9ec9-e4dfaa088537", |
933 | 933 | "metadata": {}, |
934 | 934 | "source": [ |
935 | | - "**Including Sub-Rows Within Your Pivot Table**" |
| 935 | + "# Including Sub-Rows In Your Pivot Table" |
936 | 936 | ] |
937 | 937 | }, |
938 | 938 | { |
|
1029 | 1029 | "id": "c19c30fc-3253-446a-b2e4-77dd4cc53c36", |
1030 | 1030 | "metadata": {}, |
1031 | 1031 | "source": [ |
1032 | | - "**Calculating multiple values in your pivot table.**" |
| 1032 | + "# Calculating multiple values in your pivot table" |
1033 | 1033 | ] |
1034 | 1034 | }, |
1035 | 1035 | { |
|
1513 | 1513 | "id": "c323235b-3479-469e-b6cb-ee08615897d5", |
1514 | 1514 | "metadata": {}, |
1515 | 1515 | "source": [ |
1516 | | - "**Performing more advanced aggregations.**" |
| 1516 | + "# Performing more advanced aggregations" |
1517 | 1517 | ] |
1518 | 1518 | }, |
1519 | 1519 | { |
|
1931 | 1931 | "id": "a17481c1-eacb-4c6f-9b6d-889ade86f62f", |
1932 | 1932 | "metadata": {}, |
1933 | 1933 | "source": [ |
1934 | | - "**Using `.groupby()` and `crosstab()` for Aggregation**" |
| 1934 | + "# Using `.groupby()` and `crosstab()` for Aggregation" |
1935 | 1935 | ] |
1936 | 1936 | }, |
1937 | 1937 | { |
|
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