Chanpinones_v1.0

El variado mundo de los hongos!

What's Changed

• To Explore #229 by @oldoc63 in #230
• Mushrooms variety #231 by @oldoc63 in #232
• Using attribute column and looping through it #233 by @oldoc63 in #234
• Improving readability #235 by @oldoc63 in #236
• Using .value_counts() and .index to order the bars #237 by @oldoc63 in #238

Full Changelog: barAndPie_v1.0...Chapinones_v1.0

barAndPie_v1.0

What's Changed

• Bar Charts and Histograms #217 by @oldoc63 in #218
• Bar Area and sns.countplot() #219 by @oldoc63 in #220
• Ordering Bar Charts #221 by @oldoc63 in #222
• Pie Chart with Matplotlib #223 by @oldoc63 in #224
• Bar are better at demonstrating small differences #225 by @oldoc63 in #226
• More is not better with pies #227 by @oldoc63 in #228

Full Changelog: Automobile_v1.0...barAndPie_v1.0

Automobile_v1.0

What's Changed

• Automobile Evaluation Data #207 by @oldoc63 in #208
• Summarizing a nominal var with frequencies and proportions #209 by @oldoc63 in #210
• Summarizin an ordinal category #211 by @oldoc63 in #212
• Proportions considering missing values #213 by @oldoc63 in #214
• Cars with more thanfive doors frequency and proportions #215 by @oldoc63 in #216

Full Changelog: Categorical_v1.0...Automobile_v1.0

Categorical_v1.0

What's Changed

• A DataFrame is just a bunch of Series glued together #175 by @oldoc63 in #176
• We can specify an index_col #177 by @oldoc63 in #178
• Writing and reading DataFrames #179 by @oldoc63 in #180
• Index-based selection #181 by @oldoc63 in #182
• loc and iloc use an slightly different index scheme #181 by @oldoc63 in #183
• We can manipulate the index in any way we see fit #181 by @oldoc63 in #184
• Conditionals inside loc #181 by @oldoc63 in #185
• Pandas comes with a few built-in conditional selectors #181 by @oldoc63 in #186
• assigning data to a DataFrame #181 by @oldoc63 in #187
• Exercises by @oldoc63 in #188
• Summary stats for categorical #189 by @oldoc63 in #190
• Use of .value_counts and .index[0] to find the mode #191 by @oldoc63 in #192
• Categorical and cat.codes #193 by @oldoc63 in #194
• Careful when reporting a mean of an ordinal categorical variable #195 by @oldoc63 in #196
• Percentiles show the spread of ordinal data #197 by @oldoc63 in #198
• Proportions are more informative than value.counts #199 by @oldoc63 in #200
• dropna=False #201 by @oldoc63 in #202
• Mean of a binary is a proportion #203 by @oldoc63 in #204
• Summary and pratice #205 by @oldoc63 in #206

Full Changelog: chestPainCostByState_v1.0...Categorical_v1.0

chestPainCostByState_v1.0

The state with the largest median cost for a chest pain diagnosis is New Jersey. The state with the smallest median cost is Maryland.

What's Changed

• Health Care Data #165 by @oldoc63 in #166
• Provider State #167 by @oldoc63 in #168
• Grab only the rows that are about chest pain #169 by @oldoc63 in #170
• Separate and make one plot for the state of Alabama #171 by @oldoc63 in #172
• Chest Pain Average Cost in USA by State #173 by @oldoc63 in #174

Full Changelog: boxPlots_v1.0...chestPainCostByState_v1.0

boxPlots_v1.0

What's Changed

• The line inside the box plot is the median #153 by @oldoc63 in #154
• Drawing the edges of the box #155 by @oldoc63 in #156
• Whiskers extend to the point closest to 1.5 times the IQR in the dire… by @oldoc63 in #158
• Outliers falls outside of the whiskers #159 by @oldoc63 in #160
• With matplotlib is ease to draw two or more boxplots side by side #161 by @oldoc63 in #162
• ability to compare different datasets #163 by @oldoc63 in #164

Full Changelog: lifeAndGDP_v1.0...boxPlots_v1.0

lifeAndGDP_v1.0

Life comes with a cost!

What's Changed

• Life Expectancy #143 by @oldoc63 in #144
• Import the data, isolate de columm of interest #145 by @oldoc63 in #146
• Quantiles and Plot #147 by @oldoc63 in #148
• Splitting by GDP #149 by @oldoc63 in #150
• GPD have an impact on Life Expectancy #151 by @oldoc63 in #152

Full Changelog: interquartileRange_v1.0...lifeAndGDP_v1.0

toWhichSchool_v1.0

Be realistic!

What's Changed

• Quantiles: quartiles, deciles, percentiles #125 by @oldoc63 in #126
• was the data point in the bottom 23% of the dataset? #127 by @oldoc63 in #128
• Groups of equal size #129 by @oldoc63 in #130
• Is my 3 min fav song above or below de 32th percentile? #131 by @oldoc63 in #132
• To which school will you apply according to your SAT score? #133 by @oldoc63 in #134

Full Changelog: Quartiles_v1.0...toWhichSchool_v1.0

interquartileRange_v1.0

To understand a BoxPlot.

What's Changed

• outliers means an opportunity to use the IQR #135 by @oldoc63 in #136
• Q3 - Q1 = interquartile range #137 by @oldoc63 in #138
• from scipy.stats import iqr #139 by @oldoc63 in #140
• The interquartile range is displayed with the box plot #141 by @oldoc63 in #142

Full Changelog: toWhichSchool_v1.0...interquartileRange_v1.0

grades_v1.0

Teacher, how your class performed this year?

What's Changed

• Grades of your class #111 by @oldoc63 in #112
• How the class performed? #113 by @oldoc63 in #114

Full Changelog: histogramDescription_v1.0...grades_v1.0