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xi | |
| Acknowledgments |
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xvi | |
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1 Introduction: Why data journalism? |
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1 | (9) |
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3 | (1) |
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4 | (2) |
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6 | (1) |
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7 | (3) |
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2 Data, numeracy, and how to bulletproof information |
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10 | (11) |
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Gaining a better understanding of your data: first steps |
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10 | (2) |
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What is each row in my data? |
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12 | (1) |
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Spotting common data problems |
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13 | (3) |
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Problems with the data universe |
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16 | (1) |
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Understanding your data: an early checklist |
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17 | (1) |
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Three ways to talk about your data |
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18 | (3) |
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3 Where data comes from---and how to get it |
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21 | (14) |
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22 | (1) |
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23 | (1) |
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Record retention schedules: a guide to what governments keep |
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24 | (2) |
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Writing an official request |
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26 | (4) |
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30 | (1) |
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Sticking to what's "gettable" |
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31 | (4) |
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4 Starting with spreadsheets |
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35 | (16) |
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Four ways spreadsheets excel |
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35 | (1) |
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Where spreadsheets (traditionally) lag |
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36 | (1) |
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Some background on Google Sheets |
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36 | (1) |
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Getting started with Google Sheets |
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37 | (1) |
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Basic spreadsheet concepts |
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38 | (3) |
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Other important interface features |
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41 | (1) |
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Getting data into Google Sheets |
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42 | (2) |
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Navigating the data display and controlling its structure |
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44 | (2) |
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Exploring a data set to learn something new |
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46 | (5) |
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5 Sort, filter, pivot: The building blocks of data analysis |
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51 | (19) |
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Reordering your data table with sorting |
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51 | (3) |
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Focusing on the most relevant information with filter |
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54 | (1) |
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55 | (1) |
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56 | (1) |
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Working with filtered data |
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57 | (1) |
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Other things to know about filtering |
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58 | (1) |
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Summarizing data sets with pivot tables |
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58 | (1) |
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Finding meaningful groups in your data |
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59 | (1) |
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59 | (2) |
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Building a simple pivot table from a question |
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61 | (2) |
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Pivot table summary types |
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63 | (2) |
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65 | (1) |
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Leaning into the flexibility of pivot tables |
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65 | (2) |
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67 | (1) |
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More than one way to group data |
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68 | (2) |
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6 Clean and repair: Techniques for more advanced analysis |
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70 | (16) |
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The filter menu and frequency tables |
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70 | (2) |
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Adding columns for cleaned values |
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72 | (2) |
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Functions to help you clean text |
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74 | (1) |
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Using functions in a cleaning column |
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75 | (1) |
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Getting your changes to stick with "Paste Special" |
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75 | (1) |
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Using more than one function at the same time |
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76 | (1) |
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Combining and separating cell contents |
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76 | (1) |
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Using "Split text to columns" |
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77 | (3) |
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80 | (1) |
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Splitting cells at specific positions: focus on dates |
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81 | (2) |
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Adding new categories based on a condition |
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83 | (3) |
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7 Simple tools for everyday data visualization |
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86 | (18) |
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Common types of visualizations and when to use them |
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86 | (6) |
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The process of creating a data visualization |
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92 | (5) |
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Beyond the data visualization: other critical things to consider |
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97 | (1) |
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Using color in data visualizations |
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98 | (2) |
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100 | (4) |
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8 Introduction to R and the tidyverse |
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104 | (13) |
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The best way to work with R |
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105 | (1) |
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Overview of the RStudio interface for R |
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105 | (2) |
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Using R: understanding variables |
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107 | (1) |
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Expanding base R with outside packages |
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108 | (1) |
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Installing and loading packages within RStudio |
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109 | (2) |
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Importing a simple data table from CSV |
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111 | (1) |
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Where is R looking for files? |
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112 | (1) |
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An example with read_csv () |
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112 | (1) |
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Data tables, tibbles, and adjusting data types |
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113 | (2) |
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Putting it all together in an R script |
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115 | (2) |
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9 Using R for data analysis |
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117 | (22) |
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Changing the data's column headers |
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118 | (1) |
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Sorting and filtering data in RStudio and the tidyverse |
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118 | (4) |
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Using "pipes" in the tidyverse to keep your data analysis straight |
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122 | (1) |
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Expanding your analysis into new columns |
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123 | (2) |
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Summarizing a data set by different groups |
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125 | (4) |
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A tidyverse superpower: joining data sets using a column with shared values |
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129 | (1) |
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130 | (4) |
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Returning to the crash data: merging it with populations |
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134 | (2) |
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Joining perils: ending up with duplicated data |
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136 | (1) |
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137 | (2) |
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10 Making the modern web with HTML and CSS |
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139 | (15) |
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139 | (2) |
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What you need to create HTML |
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141 | (1) |
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The parts of an HTML element |
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142 | (1) |
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Basic webpage structure and other common HTML elements |
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143 | (3) |
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Where CSS fits in, and how it works with HTML |
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146 | (1) |
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147 | (1) |
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Some common CSS properties |
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148 | (2) |
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Giving your CSS selectors more specific targets |
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150 | (1) |
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Styling HTML based on classes and IDs |
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150 | (2) |
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152 | (2) |
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11 More advanced CSS: Layouts, Bootstrap, and more |
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154 | (27) |
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155 | (1) |
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155 | (3) |
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Simple responsiveness for block elements using width |
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158 | (2) |
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160 | (1) |
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Repositioning a content division element using margins |
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161 | (2) |
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163 | (2) |
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165 | (1) |
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Shorthand properties for margins, padding, and borders |
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166 | (1) |
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Content divisions and the semantic web |
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167 | (1) |
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Creating more complex webpage layouts with the Bootstrap Grid |
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167 | (1) |
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168 | (1) |
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Adding Bootstrap to your webpage |
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169 | (1) |
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How the Bootstrap grid works: using containers, rows, and columns |
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169 | (2) |
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171 | (5) |
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Giving instructions for more than one breakpoint |
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176 | (1) |
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Aligning and distributing content |
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177 | (2) |
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179 | (2) |
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181 | (4) |
| Index |
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185 | |
Lisainfo e-raamatute kohta