School_District_Analysis:单元4学区分析

【文件属性】：
文件名称：School_District_Analysis:单元4学区分析
文件大小：4.46MB
文件格式：ZIP
更新时间：2021-04-04 00:41:36
JupyterNotebook School_District_Analysis 单元4学区分析

【文件预览】：
School_District_Analysis-main
----pandas_practice.ipynb(14KB)
----School_District_Analysis()
----.gitignore(2KB)
----Py_City_schools_4_13_5.ipynb(1.62MB)
----Untitled3.ipynb(72B)
----README.md(61B)
----clean_student_names.ipnyb(32KB)
----cleaning_data.ipnyb(13KB)
----Untitled5.ipynb(560B)
----Py_City_schools_4_10_5.ipynb(1.57MB)
----Resources()
--------schools_complete.csv(683B)
--------students_complete.csv(1.96MB)
--------missing_grades.csv(290B)
--------clean_students_complete.csv(2.17MB)
----jupyter_practice.ipynb(560B)
----Untitled4.ipynb(72B)
----PyCitySchools_Challenge_testing.ipynb.ipnyb(1.62MB)
----This PC - Shortcut.lnk(420B)
----Py_City_schools_4_12_5.ipynb(1.62MB)
----PyCitySchools_4_8_8.ipynb(1.55MB)
----PyBer_Challenge.ipynb(40KB)
----PyCitySchools_Challenge_starter_code.ipynb(40KB)
----PyCitySchools_Challenge_testing.ipynb(1.54MB)
----Merge_DataFrames_4_7_1.ipynb(1.48MB)
----functions.ipnyb(5KB)
----PyCitySchools.ipnyb(1.62MB)
----Py_City_schools_4_9_3.ipynb(1.57MB)
----PyCity_school_4_13_3.ipynb(1.63MB)
----cleaning_student_names.ipnyb(1.44MB)
----Py_City_schools_4_11_1.ipynb(1.57MB)
----Py_City_schools_4_13_3.ipynb(1.62MB)