官术网_书友最值得收藏!

Chapter 2. Preparing Your Data

The French term mise en place is used in professional kitchens to describe the practice of chefs organizing and arranging the ingredients up to a point where it is ready to be used. It may be as simple as washing and picking herbs into inpidual leaves or chopping vegetables, or as complicated as caramelizing onions or slow cooking meats.

In the same way, before we start cooking the data or building a predictive model, we need to prepare the ingredients-the data. Our preparation covers three different tasks:

  • Loading the data into the analytic tool
  • Exploring the data to understand it and to find quality problems with it
  • Transforming the data to fix the quality problems

We say that the quality of data is high when it's appropriate for a specific use. In this chapter, we'll describe characteristics of data related to its quality.

As we've seen, our mise en place has three steps. After loading the data, we need to explore it and transform it. Exploring and transforming is an iterative process, but in this book, we'll pide it in two different steps for clarity.

In this chapter, we'll discuss the following topics:

  • Datasets and types of variables
  • Data quality
  • Loading data into Rattle
  • Assigning roles to the variables
  • Transforming variables to solve data quality problems and to improve data format of our predictive model

In this chapter, we'll cover how we explore the data to understand it and find quality problems.

主站蜘蛛池模板: 南乐县| 临泽县| 盘山县| 会泽县| 九龙县| 从江县| 双桥区| 洪雅县| 周至县| 花垣县| 平度市| 武夷山市| 乐陵市| 出国| 宝兴县| 石河子市| 虹口区| 台中县| 嵊州市| 通山县| 慈利县| 凤冈县| 于田县| 扎兰屯市| 喀什市| 田东县| 得荣县| 荥经县| 通榆县| 瑞昌市| 小金县| 冕宁县| 永安市| 广饶县| 家居| 报价| 灌南县| 阳西县| 隆安县| 江永县| 寻乌县|