Matplotlib data visualization foundation pandas statistical analysis foundation

1. Analyze the relationship between the characteristics of population data from 1996 to 2015. The population data has a total of six characteristics, namely, year-end population, male population, female population, urban population, rural population and year. Looking at the changes of various characteristics over time, we can analyze the propo ...

Posted by don_s on Thu, 27 Jan 2022 03:53:18 +0100

SQL retention analysis (next day retention, multi day retention) and optimization scheme for continuous active population

1. Description of index caliber Retained on the next day: the number of users who use the product on the first day and still use it on the second day Multi day retention: the number of users who use the product on the first day and still use it after many days Number of people continuously active: how many people continuously use products 2 ...

Posted by kontesto on Wed, 26 Jan 2022 21:18:10 +0100

Getting started with Matplotlib data visualization

preface This article actually belongs to: Advanced way of Python [AIoT phase I] This paper introduces Matplotlib data visualization, and will send a separate article on advanced Matplotlib data visualization and advanced Matplotlib data visualization for readers to learn. In data analysis and machine learning, we often use a lot of visu ...

Posted by DoctorWho on Wed, 26 Jan 2022 17:45:00 +0100

[DS practice | Coursera] Assignment3 | Introduction to Data Science in Python

preface This chapter is the third Assignment of Introduction to Data Science in Python. The main task of this chapter is to select the appropriate method of summarizing and merging data tables based on the three tables given and on the understanding of various merging processes, that is, row data summary, clean and merge the data, and cl ...

Posted by rwoods on Mon, 24 Jan 2022 18:01:14 +0100

Chapter 11 of data analysis using python, Second Edition - time series learning notes

1, Types and tools of date and time data The modules about date, time and calendar data in Python are datatime, time and calendar **The data types in the datatime module are as follows: from datatime import***** dataUse the Gregorian calendar to store calendar dates (year, month, day)timeStore time as hours, minutes, seconds, microsecond ...

Posted by polywog on Mon, 24 Jan 2022 06:24:04 +0100

Welfare, little sister, why did you run to my computer when dancing live!! Python catches the live signal source of tiger tooth little sister!! Get in the car!

Related documents Pay attention to Xiaobian and receive private letter Xiaobian! Of course, don't forget a three in a row~~ Yes, we can pay attention to the official account of Xiaobian yo ~ ~ Python log Hello everyone, I'm bold again! I'll share games with you every day. I'm sure my friends feel a little bored. Today it brings benefits to y ...

Posted by sankaty on Sun, 23 Jan 2022 18:00:34 +0100

Introduction to Python data analysis pandas ------ ten minute introduction pandas

1, Import common libraries import pandas as pd import numpy as np import matplotlib.pyplot as plt 2, Create object (1) By passing a list to create a Series, pandas will create an integer index by default The code is as follows: s = pd.Series([1, 3, 5, np.nan, 6, 8]) print(s) The operation results are as follows: 0 1.0 1 3.0 ...

Posted by johncox on Sun, 23 Jan 2022 13:40:58 +0100

Detailed explanation of the events of the Kaggle Titanic

Data link: https://pan.baidu.com/s/1gE4JvsgK5XV-G9dGpylcew Extraction code: y409 Project background 1. Titanic: an Olympic class cruise ship under the jurisdiction of British white star shipping company. It was built at Harland and Wolff shipyard in Belfast port, Ireland on March 31, 1909. It was launched on May 31, 1911 and complete ...

Posted by dgwade on Sat, 22 Jan 2022 21:01:07 +0100

HiveSql interview question 29 -- find the maximum number of people online and the peak time period [accumulator idea, timing analysis]

catalogue 0 demand analysis 1 data preparation 2 data analysis 3 Summary 0 demand analysis The data is the anchor ID,stt represents the start time and edt represents the next time. idsttedt10012021-06-14 12:12:122021-06-14 18:12:1210032021-06-14 13:12:122021-06-14 16:12:1210042021-06-14 13:15:122021-06-14 20:12:1210022021-06-14 15:12:12 ...

Posted by Mzor on Sat, 22 Jan 2022 04:45:39 +0100

Chip SEQ data analysis 1 chip SEQ technology 2 chip SEQ data analysis

1 chip SEQ Technology 1.1 concept1.2 chip SEQ technology principle 2 chip SEQ data analysis 2.1 data download2.2 data_assess ment2.3 mapping_analysis2.4 Peak_calling MACS2 2.4.1 MACS2 core: callpack usage2.4.2 description of callpack result file2.4.3 bdg file → wig file 2.5 Peak_anno ChIPseeker Chip SEQ is only the fi ...

Posted by toms on Fri, 21 Jan 2022 00:42:50 +0100