{"product_id":"138447","title":"Python Data Analysis \u0026amp; Visualization + Web Dashboard Creation ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jXPCf0t82k1tO7Woqs0EBpjReolZR.png?v=1765063346\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Python Data Analysis \u0026amp; Visualization + Web Dashboard Creation \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/124732783\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e  \u003cdiv\u003e\"Python Data Analysis \u0026amp; Visualization + Web Dashboard Creation\" is packed with practical, hands-on content, including the fundamentals of Python data analysis and visualization, useful tips, and building a data web dashboard. Key lessons learned include:\u003cbr\u003e 「01.\u003cbr\u003e In \"Pandas Basics to Practice for Handling Structured Data,\" we cover everything from the basics of Pandas, the national library for handling structured data, to essential methods and tips for practical use.\u003cbr\u003e In \"02 Python Visualization: From Basics to Practice,\" we cover Python's representative data visualization libraries: Matplotlib, Seaborn, and Plotly.\u003cbr\u003e Learn practical methods and tips for drawing simple, clean graphs.\u003cbr\u003e 「03. \u003cbr\u003eIn \"Creating a Streamlit Web Dashboard Without Web Basics,\" you will learn the basics of the Streamlit library, which allows you to easily create a web dashboard without prior web-related knowledge.\u003cbr\u003e You will learn how to create a simple web dashboard using a real-world dataset and gain insights from the data.\u003cbr\u003e Please refer to page 5 for instructions on how to download the example datasets and source code files for this book.\u003cbr\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eCHAPTER 01: Basic Python Data Analysis Using Pandas\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Pandas Series and Dataframe\u003cbr\u003e Selecting columns and rows in a Dataframe\u003cbr\u003e Selecting columns using select_dtypes\u003cbr\u003e Selecting rows and columns using the filter method\u003cbr\u003e Renaming rows and columns using rename\u003cbr\u003e The info, describe, value_counts, and unique methods are the basis for understanding data.\u003cbr\u003e fillna and dropna methods for handling missing values\u003cbr\u003e The quantile method for calculating the quantiles of data\u003cbr\u003e Query method to filter only the desired data  \u003cbr\u003ePandas' flower, the groupby method for group-by-group operations\u003cbr\u003e Characteristics of time series data\u003cbr\u003e resample method for grouping time series data\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 02: Practical Tips for the Pandas Library\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Things to do when you first encounter data\u003cbr\u003e Group continuous data to analyze categorical data\u003cbr\u003e Find the maximum number of consecutive occurrences that satisfy the condition\u003cbr\u003e How to handle outliers: clip and quantile methods\u003cbr\u003e Interpolate\/extrapolate missing values\u003cbr\u003e Row slicing in a sorted index\u003cbr\u003e Group by multiple columns including timestamp data\u003cbr\u003e Standardize data by specific group within a dataset\u003cbr\u003e String operations using the groupby method\u003cbr\u003e Split one row into multiple rows\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 03: Python Data Visualization with Matplotlib, Seaborn, and Plotly\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Matplotlib components and features\u003cbr\u003e Scatterplot\u003cbr\u003e Regplot\u003cbr\u003e Lineplot\u003cbr\u003e Boxplot, Stripplot, Swarmplot\u003cbr\u003e Histplot\u003cbr\u003e Heatmap\u003cbr\u003e Matplotlib's axes-level plot and figure-level plot  \u003cbr\u003eGraph detail tuning\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 04: Practical Tips for Matplotlib, Seaborn, and Plotly Libraries\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e How to neatly display tick labels in a time series graph with dates on the x-axis\u003cbr\u003e Drawing multi-axis graphs\u003cbr\u003e Adjusting the legend position\u003cbr\u003e Highlight the spine of a graph\u003cbr\u003e Representing text within a graph\u003cbr\u003e Drawing horizontal and vertical lines\u003cbr\u003e Fine-tuning the graph by mapping each ax divided by FacetGrid\u003cbr\u003e Highlighting axes that meet specific conditions in FacetGrid\u003cbr\u003e Displaying the equation and correlation coefficient of the linear regression line in regplot\u003cbr\u003e Converting the graph's axes to log format\u003cbr\u003e Utilizing Seaborn color palette and Plotly color\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 05 Creating a Data Dashboard Using Python Streamlit\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Installing and Running Streamlit\u003cbr\u003e Understanding Text and Tables\u003cbr\u003e Understanding the Different Widgets: Button\u003cbr\u003e Understanding Various Widgets: Checkbox, Toggle\u003cbr\u003e Understanding Various Widgets: Selectbox, Radio, Multiselect\u003cbr\u003e Understanding the Different Widgets: Slider  \u003cbr\u003eUnderstanding the Different Widgets: Input\u003cbr\u003e Understanding the various widgets: File uploader\u003cbr\u003e Displaying charts and images\u003cbr\u003e Understanding the Layout\u003cbr\u003e Understanding Session State and Caching\u003cbr\u003e A simple Streamlit web dashboard creation tutorial\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate4407\/MidCate007\/440662785.jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e The book [Python Data Analysis \u0026amp; Visualization + Web Dashboard Creation] is not a bible like an encyclopedia of Python from A to Z.\u003cbr\u003e This is a practical reference book on Python data analysis and visualization, packed with essential content that can be applied immediately in the field!\u003cbr\u003e\u003cbr\u003e \u003cb\u003eThe core content of this book is as follows:\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e - Python Data Analysis Basics and Practice\u003cbr\u003e - Python Visualization Basics and Practice\u003cbr\u003e - Create your own web dashboard\u003cbr\u003e\u003cbr\u003e \u003cb\u003eWho is the target audience for this book?\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e - Anyone who wants to automate boring, repetitive data tasks!\u003cbr\u003e - For those who want to leave work 5 minutes earlier through efficient work!\u003cbr\u003e - For those who want to learn practical, practical knowledge that can be applied immediately in a limited amount of time! \u003cbr\u003e- For those who want a book that can be used immediately in real life!\u003cbr\u003e - For those who want to create their own web dashboard! \u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e January 31, 2024\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 254 pages | 670g | 190*257*20mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791193059180\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 1193059186 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893242003498,"sku":"138447","price":28.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/bb355eb9778f5b98a604054ccd6f4a0f.jpg?v=1765393590","url":"https:\/\/librairie.coreenne.fr\/en\/products\/138447","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}