Practice using pandas to get just the data you want from flat files, learn how to wrangle data types and handle errors, and look into some U.S. tax data along the way.

Introduction to flat files

Get data from CSVs

Get data from other flat files

Modifying flat file imports

Import a subset of columns

Import a file in chunks

Handling errors and missing data

Specify data types

Set custom NA values

Skip bad data

Importing Data from Flat Files

Automate data imports from that staple of office life, Excel files. Import part or all of a workbook and ensure boolean and datetime data are properly loaded, all while learning about how other people are learning to code.

Pengantar spreadsheet

Mengambil data dari spreadsheet

Memuat sebagian dari spreadsheet

Mengambil data dari beberapa lembar kerja

Pilih satu sheet

Pilih beberapa sheet

Bekerja dengan banyak spreadsheet

Memodifikasi impor: data true/false

Setel kolom Boolean

Atur nilai true/false kustom

Memodifikasi impor: mengurai tanggal

Mengurai tanggal sederhana

Mengambil datetime dari beberapa kolom

Mengurai format tanggal non-standar

Importing Data From Excel Files

Combine pandas with the powers of SQL to find out just how many problems New Yorkers have with their housing. This chapter features introductory SQL topics like WHERE clauses, aggregate functions, and basic joins.

Introduction to databases

Connect to a database

Load entire tables

Refining imports with SQL queries

Selecting columns with SQL

Selecting rows

Filtering on multiple conditions

More complex SQL queries

Getting distinct values

Counting in groups

Working with aggregate functions

Loading multiple tables with joins

Joining tables

Joining and filtering

Joining, filtering, and aggregating

Importing Data from Databases

Learn how to work with JSON data and web APIs by exploring a public dataset and getting cafe recommendations from Yelp. End by learning some techniques to combine datasets once they have been loaded into data frames.

Introduction to JSON

Load JSON data

Work with JSON orientations

Introduction to APIs

Get data from an API

Set API parameters

Set request headers

Working with nested JSONs

Flatten nested JSONs

Handle deeply nested data

Combining multiple datasets

Concatenate dataframes

Merge dataframes

Wrap-up

Importing JSON Data and Working with APIs

Vermont tax return data by ZIP code

FreeCodeCamp New Developer Survey response subset

NYC weather and 311 housing complaints

Sebelum Anda dapat menganalisis data, Anda harus mendapatkannya terlebih dahulu. Kursus ini mengajarkan cara membangun pipeline untuk mengimpor data yang disimpan dalam format penyimpanan umum. Anda akan menggunakan pandas, pustaka Python utama untuk analitik, untuk mengambil data dari berbagai sumber, mulai dari spreadsheet berisi respons survei, basis data permintaan layanan publik, hingga API untuk situs ulasan populer. Sepanjang proses, Anda akan mempelajari cara menyetel impor agar hanya mengambil yang Anda perlukan dan mengatasi masalah seperti tipe data yang tidak benar. Terakhir, Anda akan menyusun himpunan data kustom dari berbagai sumber.

Intermediate Python

Intermediate SQL

Pelajari cara mendapatkan data dari format umum seperti CSV, spreadsheet, JSON, basis data SQL, dan API.

Pemasukan Data yang Efisien dengan pandas

Pelajari cara mengumpulkan data dari format file dan sistem umum seperti file CSV, spreadsheet, JSON, basis data SQL, dan API.

Memodifikasi impor: data true/false

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