Update Mission217Solutions.ipynb

Mission217Solutions.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Read in the data"
+    "# Read in the Data"
    ]
   },
   {
@@ -37,7 +37,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Read in the surveys"
+    "# Read in the Surveys"
    ]
   },
   {
@@ -85,7 +85,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Add DBN columns"
+    "# Add DBN Columns"
    ]
   },
   {
@@ -111,7 +111,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Convert columns to numeric"
+    "# Convert Columns to Numeric"
    ]
   },
   {
@@ -147,7 +147,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Condense datasets"
+    "# Condense Datasets"
    ]
   },
   {
@@ -174,7 +174,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Convert AP scores to numeric"
+    "# Convert AP Scores to Numeric"
    ]
   },
   {
@@ -193,7 +193,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Combine the datasets"
+    "# Combine the Datasets"
    ]
   },
   {
@@ -220,7 +220,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Add a school district column for mapping"
+    "# Add a School District Column for Mapping"
    ]
   },
   {
@@ -239,7 +239,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Find correlations"
+    "# Find Correlations"
    ]
   },
   {
@@ -276,7 +276,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Plotting survey correlations"
+    "# Plotting Survey Correlations"
    ]
   },
   {
@@ -326,11 +326,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "There are high correlations between `N_s`, `N_t`, `N_p` and `sat_score`.  Since these columns are correlated with `total_enrollment`, it makes sense that they would be high.  \n",
+    "There are high correlations between `N_s`, `N_t`, `N_p`, and `sat_score`. Since these columns are correlated with `total_enrollment`, it makes sense that they would be high.  \n",
     "\n",
-    "It is more interesting that `rr_s`, the student response rate, or the percentage of students that completed the survey, correlates with `sat_score`.  This might make sense because students who are more likely to fill out surveys may be more likely to also be doing well academically.\n",
+    "It is more interesting that `rr_s`, the student response rate, or the percentage of students that completed the survey, correlates with `sat_score`. This might make sense because students who are more likely to fill out surveys may be more likely to also be doing well academically.\n",
     "\n",
-    "How students and teachers percieved safety (`saf_t_11` and `saf_s_11`) correlate with `sat_score`.  This make sense, as it's hard to teach or learn in an unsafe environment.\n",
+    "How students and teachers percieved safety (`saf_t_11` and `saf_s_11`) correlate with `sat_score`. This make sense — it's difficult to teach or learn in an unsafe environment.\n",
     "\n",
     "The last interesting correlation is the `aca_s_11`, which indicates how the student perceives academic standards, correlates with `sat_score`, but this is not true for `aca_t_11`, how teachers perceive academic standards, or `aca_p_11`, how parents perceive academic standards."
    ]
@@ -339,7 +339,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Exploring safety"
+    "# Exploring Safety"
    ]
   },
   {
@@ -376,14 +376,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "There appears to be a correlation between SAT scores and safety, although it isn't thatstrong.  It looks like there are a few schools with extremely high SAT scores and high safety scores.  There are a few schools with low safety scores and low SAT scores.  No school with a safety score lower than `6.5` has an average SAT score higher than 1500 or so."
+    "There appears to be a correlation between SAT scores and safety, although it isn't very strong. It looks like there are a few schools with extremely high SAT scores and high safety scores. There are a few schools with low safety scores and low SAT scores. No school with a safety score lower than `6.5` has an average SAT score higher than 1500 or so."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Borough safety"
+    "# Borough Safety"
    ]
   },
   {
@@ -421,7 +421,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Racial differences in SAT scores"
+    "# Racial Differences in SAT Scores"
    ]
   },
   {
@@ -459,7 +459,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "It looks like a higher percentage of white or asian students at a school correlates positively with sat score, whereas a higher percentage of black or hispanic students correlates negatively with sat score.  This may be due to a lack of funding for schools in certain areas, which are more likely to have a higher percentage of black or hispanic students."
+    "It looks like a higher percentage of white or Asian students at a school correlates positively with SAT scores, whereas a higher percentage of black or Hispanic students correlates negatively with SAT score. This may be due to a lack of funding for schools in certain areas, which are more likely to have a higher percentage of black or Hispanic students."
    ]
   },
   {
@@ -521,7 +521,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The schools listed above appear to primarily be geared towards recent immigrants to the US.  These schools have a lot of students who are learning English, which would explain the lower SAT scores."
+    "The schools listed above appear to primarily serve recent immigrants to the U.S. These schools have many students who are learning English, which would explain the lower SAT scores."
    ]
   },
   {
@@ -550,14 +550,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Many of the schools above appear to be specialized science and technology schools that receive extra funding, and only admit students who pass an entrance exam.  This doesn't explain the low `hispanic_per`, but it does explain why their students tend to do better on the SAT -- they are students from all over New York City who did well on a standardized test."
+    "Many of the schools above appear to be specialized science and technology schools that receive extra funding and only admit students who pass an entrance exam. This doesn't explain the low `hispanic_per`, but it does explain why their students tend to do better on the SAT — they are students from all over New York City who did well on a standardized test."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Gender differences in SAT scores"
+    "# Gender Differences in SAT Scores"
    ]
   },
   {
@@ -595,7 +595,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In the plot above, we can see that a high percentage of females at a school positively correlates with SAT score, whereas a high percentage of males at a school negatively correlates with SAT score.  Neither correlation is extremely strong."
+    "In the plot above, we can see that a high percentage of females at a school positively correlates with SAT scores, whereas a high percentage of males at a school negatively correlates with SAT scores. Neither correlation is extremely strong."
    ]
   },
   {
@@ -632,7 +632,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Based on the scatterplot, there doesn't seem to be any real correlation between `sat_score` and `female_per`.  However, there is a cluster of schools with a high percentage of females (`60` to `80`), and high SAT scores."
+    "Based on the scatter plot, there doesn't seem to be any real correlation between `sat_score` and `female_per`.  However, there is a cluster of schools with a high percentage of females (`60` to `80`) and high SAT scores."
    ]
   },
   {
@@ -661,14 +661,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "These schools appears to be very selective liberal arts schools that have high academic standards."
+    "These schools appear to be very selective liberal arts schools that have high academic standards."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# AP Exam Scores vs SAT Scores"
+    "# AP Exam Scores vs. SAT Scores"
    ]
   },
   {
@@ -707,7 +707,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "It looks like there is a relationship between the percentage of students in a school who take the AP exam, and their average SAT scores.  It's not an extremely strong correlation, though."
+    "It looks like there is a relationship between the percentage of students in a school who take the AP exam and their average SAT scores. It's not a very strong correlation, however."
    ]
   }
  ],
@@ -727,7 +727,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.2"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,