文件名称：我的数据分析学习历程jupyter
文件大小：85.19MB
文件格式：RAR
更新时间：2022-09-02 21:19:19
python
我的数据分析学习历程jupyter
【文件预览】：
DA
----data_wuliu.csv(85KB)
----17-data()
--------新建 XLSX 工作表.xlsx(9KB)
--------爱奇艺视频数据.csv(67.99MB)
--------快餐数据.tsv(356KB)
----18-data()
--------drinks.csv(5KB)
--------Euro2012_stats.csv(2KB)
--------cars.csv(359B)
--------Apple_stock.csv(416KB)
--------second_cars_info.csv(854KB)
--------train.csv(60KB)
--------US_Crime_Rates_1960_2014.csv(5KB)
--------chipotle.tsv(356KB)
--------wechart.csv(5KB)
--------iris.csv(4KB)
--------wind.data(520KB)
----meal_order_detail.xlsx(982KB)
----L1_Numpy.ipynb(67KB)
----L_Matploblib.ipynb(99KB)
----L_Pandas.ipynb(16KB)
----Little_Red_Book.ipynb(225KB)
----16-data()
--------students_step_001.csv(267B)
--------students.csv(255B)
--------my_csv.csv(124B)
--------students_whitespace.txt(253B)
--------students_gbk.csv(211B)
--------data_test.xlsx(11KB)
--------students_step.csv(253B)
--------students_年月日1.csv(237B)
--------students_same_column.csv(238B)
----photo.png(19KB)
----L_total.ipynb(159KB)
----jieba.jpg(21KB)
----L1_Matplotlib.ipynb(515KB)
----Logistics.ipynb(94KB)
----learn()
--------book.csv(852KB)
--------has_title.txt(256B)
--------has_empty_data.csv(128B)
--------test.txt(59B)
--------student-data.txt(1KB)
--------GlobalLandTemperaturesByCity.csv(508.15MB)
--------has_title.csv(133B)
--------starbucks_store_worldwide.xlsx(2.8MB)
--------csv_test.csv(83B)
--------comic.csv(2.38MB)
----Climate Change-The Change Of Earth Surface Temperature.ipynb(4KB)
----ccf_offline_stage1_train.csv(66.66MB)
----.ipynb_checkpoints()
--------Restaurant-checkpoint.ipynb(58KB)
--------Climate Change-The Change Of Earth Surface Temperature-checkpoint.ipynb(72B)
--------L_Matploblib-checkpoint.ipynb(99KB)
--------L1_Matplotlib-checkpoint.ipynb(515KB)
--------O2O-checkpoint.ipynb(137KB)
--------Logistics-checkpoint.ipynb(87KB)
--------L_total-checkpoint.ipynb(159KB)
--------L1_Pandas-checkpoint.ipynb(236KB)
--------Little_Red_Book-checkpoint.ipynb(225KB)
--------L_Numpy-checkpoint.ipynb(13KB)
--------L_Pandas-checkpoint.ipynb(16KB)
--------L1_Numpy-checkpoint.ipynb(67KB)
----L_Numpy.ipynb(13KB)
----drill()
--------logistics()
--------restaurant()
--------O2O()
----L1_Pandas.ipynb(236KB)
----O2O.ipynb(137KB)
----Restaurant.ipynb(82KB)
----wordcloud.jpg(29KB)